WO2022004128A1 - Information processing device, information processing method, and information processing program - Google Patents

Information processing device, information processing method, and information processing program Download PDF

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Publication number
WO2022004128A1
WO2022004128A1 PCT/JP2021/017613 JP2021017613W WO2022004128A1 WO 2022004128 A1 WO2022004128 A1 WO 2022004128A1 JP 2021017613 W JP2021017613 W JP 2021017613W WO 2022004128 A1 WO2022004128 A1 WO 2022004128A1
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Prior art keywords
information
food
purchaser
information processing
preference
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PCT/JP2021/017613
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French (fr)
Japanese (ja)
Inventor
清士 吉川
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ソニーグループ株式会社
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Priority to CN202180044257.5A priority Critical patent/CN115803765A/en
Publication of WO2022004128A1 publication Critical patent/WO2022004128A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions

Definitions

  • This technology relates to information processing devices, information processing methods, and information processing programs.
  • Patent Document 1 does not include the viewpoint of the purchaser who purchased the fresh food, the reaction and feedback of the purchaser, and is not sufficient in terms of increasing the satisfaction with the fresh food.
  • an object of the present invention is to provide an information processing device, an information processing method, and an information processing program that can increase the satisfaction of the purchaser with food.
  • the first technology is sensor information on consumption process information, which is information when the purchaser consumes the food that the store receives an order via the network and ships to the purchaser. It is an information processing device equipped with a consumption process information management unit that is acquired and managed from.
  • the second technology is information that acquires and manages consumption process information, which is information when the purchaser consumes the food that the store receives an order via the network and ships to the purchaser. It is a processing method.
  • the third technology is information that acquires and manages consumption process information, which is information when the purchaser consumes the food that the retailer receives an order via the network and ships to the purchaser, from the sensor information. It is an information processing program that causes a computer to execute a processing method.
  • Embodiment> [1-1. Difference between sales in physical stores and sales in online shops] [1-2. Configuration of information processing system 10] [1-3. Configuration of information processing device 100] [1-4. Processing in the information processing device 100] ⁇ 2. Modification example>
  • Embodiment> [1-1. Difference between sales in physical stores and sales in online shops]
  • a physical store is an existing store where the purchaser can directly see, touch, pick up, and confirm the food before making a purchase.
  • An online shop is a virtual store on a website on the Internet or a general shopping mall. In the online shop, the purchaser looks at the food displayed on the screen of the personal computer or smartphone and orders the food, and the operator of the online shop ships the food to the purchaser at a later date so that the food reaches the purchaser. .. Buyers cannot see, touch, or pick up the actual food in the online shop.
  • apples will be explained as an example of specific foods.
  • the purchaser selects an apple to be purchased at his / her own will from a large number of apples such as a pile of apples, and the purchaser pays the selling price indicated by the store to purchase the apple.
  • the purchaser can only place an order in units of items called "apples", and it is up to the retailer to decide which individual apple will be delivered to the purchaser. ..
  • the disadvantage of the retailer's selection is that it is necessary to be accountable to the purchaser as to why the individual was selected and sold. be. This is because, as publicly known information, how to distinguish delicious apples is known, and many purchasers want to obtain delicious apples based on these criteria.
  • the configuration of the information processing system 10 includes an information processing device 100, a terminal device 200, and a camera 300.
  • the information processing device 100 operates in a server device 400 or the like to form a cloud system.
  • the terminal device 200 is provided at a store that sells food at an online shop.
  • the camera 300 is provided so that the purchaser can take a picture of a space where the purchaser receives the food purchased at the online shop and consumes it (confirmation, cooking, processing, eating, drinking, etc.) at the purchaser's home or the like.
  • a store is a store of a business that sells food to purchasers at an online shop.
  • the online shop may be created by the retailer himself by constructing a website or a system, or may be opened in a system such as a general shopping mall on the Internet. It may or may not have a physical store, and may be in any form as long as it can receive an order from a purchaser via the Internet and ship the food to the purchaser.
  • the terminal device 200 is connected to the information processing device 100 via a network, and is used for inputting various information transmitted to the information processing device 100 by a clerk or the like at a store, checking information provided by the information processing device 100, and the like. It is to be used.
  • the terminal device 200 is composed of, for example, a personal computer, a tablet terminal, a smartphone, or the like.
  • the retailer sets the selling price of the food according to the retailer's own criteria such as the appearance, weight, production area, type, production time, and profit margin of the food to be sold.
  • This selling price corresponds to the score for the food for sale set by the retailer.
  • the selling price of the food can be automatically determined by the selling price determining unit 106 of the information processing apparatus 100, so that only the initial selling price is determined by the sales clerk of the store, and the information is processed thereafter.
  • the selling price may be determined by the apparatus 100, or all the selling prices including the initial selling price may be determined by the information processing apparatus 100.
  • the store assigns a sales product ID (Identification) to each food product sold as a product.
  • the sales product ID is a unique value for enabling traceability management of distribution.
  • the sales product ID is associated with the information that is the basis of the sales price and is managed as food attribute information on the information processing apparatus 100.
  • the basis of the selling price is information that is the basis for determining the selling price of the food such as the appearance, weight, production area, type, production time, and profit margin of the food, and is input by the clerk of the store. For example, when a plurality of individual foods are sold in one sales unit, such as selling four apples as one set in one bag, one sales product ID is given to one set.
  • the retailer seals the food to be shipped to the purchaser with a security sticker on which the product ID for sale is printed in order to prevent the food from being replaced or tampered with during the distribution process. This ensures that the food arrives at the buyer from the retailer and is not replaced or tampered with before the buyer opens the food.
  • the purchaser is a person who places an order for food from a store through an online shop and receives the food shipped from the store.
  • Buyers include consumers who consume the purchased food, distributors such as supermarkets who confirm and display the purchased food, and food and drink companies who cook and process the purchased food and provide it to customers.
  • the purchaser is assumed to be a consumer.
  • the camera 300 is provided at the purchaser's home or the like, and the information processing device 100 acquires an image and / or a video for performing food recognition processing and consumption process information acquisition and transmits the image and / or video to the information processing device 100.
  • the camera is a sensor in a broad sense, and the captured image / video corresponds to the sensor information in the claims. In the present embodiment, it is assumed that the image taken by the camera 300 is transmitted to the information processing apparatus 100.
  • the camera 300 is installed in a space where the purchaser's actions (consumption, confirmation, display, cooking processing, etc.) on the purchased food can be photographed.
  • the installation space of the camera 300 is determined by who the purchaser is and where he / she takes action on food. If the purchaser is a consumer, the camera 300 needs to be installed in the purchaser's home where the consumer consumes the food. If the purchaser is a seller, the camera 300 needs to be installed in a store where the seller checks and displays food. Further, when the purchaser is a restaurant, the camera 300 needs to be installed in a restaurant where the restaurant cooks and processes food.
  • the camera 300 is described as a so-called network camera 300 that is connected to the information processing device 100 through a network and can transmit the captured image to the information processing device 100. If the consumer company housing already has an indoor network camera such as a home security camera, it may be used as the camera 300.
  • the camera 300 may continue to transmit images to the information processing apparatus 100 in a constantly shooting state, or when it is detected that a person is present within the angle of view by using a known person detection technique, or a product sold by image recognition. When the ID is detected, an image may be taken and the image may be transmitted to the information processing apparatus 100.
  • the camera 300 may be capable of recognizing food delivered from a store by a terminal device such as a smartphone and a dedicated application, monitoring the process of consumption by the purchaser, and transmitting information to the information processing device 100.
  • the information processing device 100 manages food attribute information and inventory that indicate the attributes of food sold by the retailer, manages preference information that indicates the tendency of the purchaser to order food, and ships to the purchaser who ordered at the online shop. It determines individual foods and estimates factors in food distribution.
  • the information processing device 100 operates on a server device 400 or the like to form a cloud system.
  • the server device 400 includes a control unit 401, an interface 402, and a storage unit 403.
  • the control unit 401 is composed of a CPU (Central Processing Unit), a RAM (Random access Memory), a ROM (Read Only Memory), and the like.
  • the CPU executes various processes according to the program stored in the ROM and issues commands to control the entire server device 400 and the information processing device 100 and each part thereof.
  • the interface 402 is an interface between devices such as a terminal device 200 and a camera 300, and between a network and the like.
  • Interface 402 may include a wired or wireless communication interface. More specifically, the wired or wireless communication interface is cellular communication such as 3TTE, 4G, 5G, Wi-Fi, Bluetooth (registered trademark), NFC (Near Field Communication), Ethernet (registered trademark), HDMI. (Registered trademark) (High-Definition Multimedia Interface), USB (Universal Serial Bus), etc. may be included.
  • the interface 402 may include a bus in the apparatus, a data reference in the program module, and the like. ..
  • the interface 402 may include a different kind of interface for each apparatus.
  • the interface 402 may include both a communication interface and an in-device interface.
  • the storage unit 403 is a large-capacity storage medium composed of, for example, a hard disk, a flash memory, or the like.
  • the storage unit 403 stores programs, applications, other data, and the like for operating the information processing system 10.
  • Various information storage units and various databases in the information processing apparatus 100 may be configured by using the storage unit 403.
  • the information processing system 10 is configured as described above. Although one terminal device 200 at a store is shown in FIG. 1, information on sales of food at a plurality of stores can be obtained by connecting a plurality of terminal devices 200 at a plurality of stores to the information processing device 100. It can also be managed by the processing device 100.
  • the information processing apparatus 100 includes a strategy information storage unit 101, a distribution / inventory information storage unit 102, a preference information storage unit 103, a preference information management unit 104, a preference information reference database 105, a selling price determination unit 106, and a food attribute information storage unit. 107, food attribute information management unit 108, individual determination unit 109, food recognition unit 110, consumption process information storage unit 111, consumption process information management unit 112, purchaser score calculation unit 113, factor estimation unit 114, factor reference database 115. It is configured with.
  • the strategy information storage unit 101 stores strategic information including sales price setting strategy information, policies, profit margins for each food, etc., which are strategies that guide the retailer when determining the selling price of food.
  • the strategy information is a company secret, and the strategy information input to the terminal device 200 by a store clerk or the like is transmitted to the information processing device 100 via the network and stored in the strategy information storage unit 101.
  • the distribution / inventory information storage unit 102 stores distribution / inventory information such as food purchase information of a store, distribution channel information of each food, and inventory information of each food at the store.
  • the distribution channel is a route from the production of food to the arrival at the store, such as food producers, distributors, and cooperatives.
  • the distribution / inventory information is periodically input to the terminal device 200 by a store clerk or the like, and is transmitted to the information processing apparatus 100 via the network to be stored in the distribution / inventory information storage unit 102. Alternatively, it may be obtained from an inventory management system used by the store.
  • the preference information storage unit 103 stores preference information indicating preferences (which can be said to be trends, criteria, and reasons) when a purchaser orders food at an online shop of a store.
  • the preference information management unit 104 manages preference information such as generation and update of preference information based on the purchaser score and consumption process information.
  • the preference information reference database 105 stores information referred to by the preference information management unit 104 in order to update the preference information.
  • the preference information includes general-purpose preference information and specific preference information.
  • the general-purpose preference information indicates the preference when the purchaser selects the food to be ordered regardless of the food item, and is low-price-oriented and high-price-oriented to select the food by the selling price, and the production area-oriented to select the food by the production area.
  • varieties-oriented foods that are selected by variety, freshness-oriented foods that are selected by freshness, and appearance-oriented foods that are selected by appearance. It should be noted that the orientations listed here are merely examples, and any preference, tendency, standard, or reason for the purchaser to order food may be used.
  • the specific preference information indicates the tendency of the purchaser to order the food for the item of the specific food, and there are the upper specific preference information and the lower specific preference information.
  • the high-ranking specific preference information is specific preference information about a high-ranking type including specific foods such as fruits, vegetables, and meat. For example, the purchaser is freshness-oriented when ordering vegetables and orders fruits. If you do, you are oriented towards the production area.
  • the lower specific preference information is preference information about a specific lower specific food, for example, the purchaser is price-oriented when selecting apples and production area-oriented when selecting oranges. And so on.
  • preference information may be defined more specifically. For example, to distinguish delicious apples from red apples, the skin is taut and heavy, the apples are dyed red and the stems are thick, the apples without leaves are sweet even if they are not colored well, and the ones with green butt are sour. It is known that the conditions such as strengthening and shining of the peel are proof of ripeness are known. Therefore, the lower-level specific preference information for apples includes pericarp-oriented, weight-oriented, red-stained overall, thick-axis-oriented, green butt-oriented, and shining-pericarp-oriented. ..
  • Preference information is generated and updated based on the food actually purchased by the purchaser. Therefore, a measure of reliability is added to the preference information.
  • the reliability is a measure based on the purchaser's order contents and the number of orders, and indicates whether the preference information is highly reliable information or unreliable information.
  • the reliability of general-purpose preference information is high if it is based on food purchase information that various foods of different types have been purchased many times. On the contrary, the reliability of general-purpose preference information based on the purchase of only a specific food or a small number of purchases is low.
  • the reliability of specific preference information is high if it is based on food purchase information that has been purchased many times. On the contrary, the reliability of the specific preference information calculated from a small number of purchases is low.
  • the reliability may be defined by a three-step index of high, medium, and low, or may be defined by a score of five or ten steps.
  • the specific preference information is updated based on the consumption process information about the food actually consumed by the purchaser, whether to use the specific preference information of similar foods for foods that have never been purchased or have low reliability. , Use higher-level specific preference information, or use general preference information.
  • the specific preference information at the top of the specific preference information is also oriented toward the production area.
  • the upper specific preference information for fruits including apples is also oriented toward the production area.
  • general-purpose preference information can be inferred from specific preference information. For example, when the specific preference information for a predetermined number of specific foods is origin-oriented, the purchaser infers the general-purpose preference information as being origin-oriented regardless of the type of food. In this way, preference information can also be constructed.
  • Preference information is first created based on general preferences common to many buyers, or information registered by the buyer in the store's online shop (for example, if the residential area is a so-called luxury residential area). The purchaser is price-oriented, etc.). Then, the preference information is updated by the preference information management unit 104 every time the purchaser purchases and consumes the food at the online shop of the store, and the preference information reflects the purchaser's preference and the accuracy is improved.
  • the preference information is associated with the purchaser information such as the purchaser ID, the residential area, the family structure, and the frequency of use, and is the information generated for each purchaser.
  • the purchaser ID is unique identification information for each purchaser to identify the purchaser.
  • the residential area is information indicating the area where the purchaser lives, and may be specific address units, prefecture units, or municipal units.
  • the family structure is the family structure of the purchaser.
  • the frequency of use is the frequency with which the purchaser places an order at the online shop of the store.
  • Family composition information and residential area information may be created based on the input contents when the purchaser requests input at the online shop of the store when the purchaser registers as a user or when the first order is placed, or it is linked. You may get it from your online shop or online service. Further, the usage frequency information may be input by the user or may be derived from the number of purchaser's orders for the online shop of the store.
  • the selling price determination unit 106 determines the selling price of food based on distribution / inventory information, strategic information, and preference information. By referring to the preference information, the selling price can be determined based on the purchaser's food selection tendency and consumption orientation. Although the preference information is information for each purchaser, the original selling price of the store can be determined by referring to the statistical information of the entire purchaser targeted by the store. The strategic information used for determining the selling price is determined by the clerk of the store, etc., but the specific selling price of the food is automatically determined by the processing by the selling price determination unit 106. Therefore, it is possible to adjust the selling price according to the inventory status and distribution status of food. For example, if you sell a lot of apples with good color, you will have more apples with bad color in your inventory. In such a case, it is possible to lower the selling price based on the inventory information.
  • the food attribute information storage unit 107 stores food attribute information, which is information about foods sold by retailers.
  • the food attribute information management unit 108 manages food attribute information such as generation and update of attribute information.
  • Food attribute information is also used to create leaflets or food selection screens for sale in online shops, and is also used for management.
  • the food attribute information includes information such as a product ID for sale, an individual food ID, an item name, a tracking status, a selling price, and characteristic information.
  • the sales product ID is an ID assigned to one sales unit as described above.
  • the food individual ID is associated to identify each individual food, and is a unique value for enabling traceability management of distribution. For example, when multiple individual foods are sold in one sales unit, such as selling four apples in one bag, one set is given one sales product ID, and the apples in the set are given. An individual food ID is associated with each item. If one individual food is a sales unit (for example, if one apple is sold separately), a sales product ID may be attached, and the individual food ID may or may not be associated. You may.
  • the item name is the name of a specific food such as apple, mandarin orange, radish, and green onion.
  • the selling price is the selling price when the purchaser purchases the food.
  • the tracking status indicates the current status of the food, "on sale” indicating that the food is sold in the store, “in delivery” indicating that the food has been delivered from the store, and the purchaser purchases the food. There are “delivered” indicating that the food has been received, and “consumed” indicating that the purchaser has consumed the food.
  • the food attribute information management unit 108 can grasp the tracking status based on the images and videos taken by the camera 300, the notification from the store, and the like.
  • the characteristic information shows the characteristics of the food, and is also the information for reflecting the preference information of the purchaser in the individual determination of the food to be shipped to the purchaser.
  • the characteristic information includes appearance, color, cross section, size, production area, harvest time, and type.
  • characteristic information in foods for example, in the case of apples, the pericarp is taut, the weight is more than a predetermined value, the whole is dyed red, the shaft is thick, the butt is green, and the pericarp is There is a light, etc.
  • a plurality of characteristic information may be present for one food.
  • the feature information may be input to the information processing device 100 by a store clerk or the like using the terminal device 200, or the store's inventory may be photographed with a camera and automatically acquired by image recognition. good.
  • the store clerk or the like inputs the sales product ID, food individual ID, item, price, and feature information about the new food using the terminal device 200, and the information processing device. Send to 100.
  • the food attribute information management unit 108 registers with the food attribute information storage unit 107 to generate food attribute information about the food.
  • the tracking status is "on sale" in the initial state.
  • the individual determination unit 109 determines the individual food to be shipped to the purchaser from the inventory held by the retailer based on the food attribute information and preference information. Specifically, an individual having common characteristic information with the preference information is compared with the preference when the purchaser orders the food indicated by the preference information and the characteristic information such as the production area and the harvest time included in the food attribute information. Determined as an individual to be shipped to the purchaser.
  • the food recognition unit 110 recognizes the food received by the purchaser based on the image taken by the camera 300 installed in the purchaser's house where the purchase consumes the food.
  • the food recognition unit 110 recognizes the food received by the purchaser by using a known image recognition technique such as deep learning or machine learning. Further, the food recognition unit 110 can recognize the food received by the purchaser by recognizing the sales product ID attached to the food. The accuracy of recognition can be improved by combining image recognition and recognition of a product ID for sale.
  • the consumption process information storage unit 111 stores consumption process information acquired from an image of a purchaser consuming food.
  • the consumption process information management unit 112 manages consumption process information such as generation and update of consumption process information.
  • the consumption process information for example, feedback information including the reaction when the purchaser consumes the food (expression, movement, etc. when eating), which can be acquired by the recognition process for the image or video taken by the camera 300, and It includes state information such as the appearance, color, and size of the food, and the cross section of the food exposed when the purchaser cooks the food (for example, when it is cut).
  • the consumption process information is stored in association with the food individual ID in the food attribute information.
  • the feedback information may include comments, evaluations, purchaser scores, and the like that are input from the purchaser using a smartphone or the like and transmitted to the information processing apparatus 100.
  • the consumption process information is the reaction (expression, movement, etc.) when the seller confirms the food
  • the consumption process information is the food and drink company. Is the reaction (expression, movement, etc.) when checking and cooking food.
  • the consumption process information may be added with a scale called reliability, which is an index showing the reliability of the information.
  • the consumption process information management unit 112 recognizes the reaction of the purchaser by using a known image recognition technology such as deep learning or machine learning, and derives the evaluation of the purchaser's food from the reaction. For example, if a buyer's smile is detected, the buyer can derive that the food is delicious and highly valued. In this way, the evaluation of food derived from the reaction of the purchaser is also stored as consumption process information.
  • a known image recognition technology such as deep learning or machine learning
  • the purchaser score calculation unit 113 calculates the food score (the selling price considered appropriate) for the purchaser based on the food attribute information and the consumption process information.
  • the purchaser score is a value calculated based on the selling price included in the food attribute information, and is calculated in yen so that the size can be compared with the selling price.
  • the factor estimation unit 114 estimates the cause of the discrepancy between the selling price and the purchaser score based on the food attribute information and the consumption process information. Factors may be estimated from certain fatal food attribute information and consumption process information, or factors may be estimated from food attribute information and consumption process information common to many purchasers.
  • the factor reference database 115 stores information to be referred to for use in estimating factors. Details of factor estimation will be described later.
  • the information processing device 100 is configured as described above.
  • the information processing device 100 is configured as described above.
  • the information processing device 100 is not only configured as a dedicated device, but may also be configured by a program, and the server device 400 or the like may be provided with a function as the information processing device 100 by executing the program.
  • the program may be installed in the server device 400 or the like in advance, or may be distributed by download, storage medium, or the like and installed.
  • step S101 When the store advertises and sells in the online shop and there is an order from the purchaser, the process proceeds from step S101 to step S102 (Yes in step S102).
  • step S102 the individual determination unit 109 determines a specific individual of the food to be shipped to the purchaser from the inventory of the store based on the preference information and the food attribute information of the ordered food.
  • the food individual information is transmitted to the terminal device 200 of the store, and the store refers to the information and ships the food to the purchaser.
  • the individual determination unit 109 determines an individual to be shipped based on the existence of lower specific preference information for the food ordered by the purchaser. If there is no lower specific preference information for the food ordered by the purchaser, the individual to be shipped is determined based on the upper specific preference information. Further, when there is no higher specific preference information for the food ordered by the purchaser, the individual to be shipped is determined based on the general-purpose preference information.
  • a purchaser orders an apple if there is lower specific preference information about the apple, it is determined as an individual to ship an apple having characteristic information matching the lower specific preference information. If there is no lower specific preference information for apples, it is determined as an individual to ship an apple having characteristic information that matches the upper specific preference information for fruits. If there is no higher-level specific preference information for apples, it is determined as an individual to ship an apple having characteristic information matching the general-purpose preference information.
  • the retailer can ship the individual that matches the preference of the purchaser who placed the order to the purchaser.
  • step S104 the food attribute information management unit 108 updates the tracking status of the attribute information to "delivering".
  • step S105 the food recognition unit 110 recognizes the food received by the purchaser based on the subject recognized by the image recognition process for the image received from the camera 300 and the product ID for sale.
  • the image data used for food recognition is stored as consumption process information.
  • step S106 the food attribute information management unit 108 updates the tracking status of the food attribute information to "delivered".
  • the consumption process information management unit 112 in step S107 When an image of the purchaser consuming food is transmitted from the camera 300 at the purchaser's house, the consumption process information management unit 112 in step S107 then consumes the food when the purchaser consumes the food.
  • the process information is acquired and stored in the consumption process information storage unit 111 in association with the individual food ID.
  • the food attribute information management unit 108 Since it was confirmed that the purchaser consumed the food from the image taken when the purchaser consumed the food, the food attribute information management unit 108 then in step S108, the tracking status of the food attribute information was "consumed”. Update to.
  • the purchaser score calculation unit 113 calculates the purchaser score based on the food attribute information and the consumption process information.
  • the purchaser score is based on the selling price, and the purchaser score is the same as the selling price unless there is a particular problematic result in the consumption process information.
  • the purchaser score is calculated to be lower than the selling price.
  • the price is calculated higher than the selling price. In this way, the purchaser score is calculated.
  • Factors that make the purchaser unsatisfied with the selling price include, for example, scratches on the food that are not included in the food attribute information, and discoloration of the cut and exposed contents and cross section.
  • factors that make the purchaser satisfied with the selling price are, for example, that if the food is a fruit, it is ripe and has a good color, and that the food is filled with honey and that it meets the criteria that are generally considered to be delicious. It is possible to accept comments, evaluations, purchaser scores, etc. input by the purchaser, and these may also be treated as factors for calculating the purchaser score.
  • step S110 if the purchaser score and the selling price deviate from each other (the difference between the purchaser score and the selling price is equal to or greater than a predetermined value), the process proceeds to step S111 (Yes in step S110). Then, in step S111, the consumption process information of the food is transmitted to the information processing apparatus 100 together with the purchaser score as a divergence factor that contributed to the divergence of the purchaser score.
  • the divergence between the purchaser score and the selling price includes a divergence in which the purchaser score is lower than the selling price (negative divergence) and a divergence in which the purchaser score is higher than the selling price (positive divergence).
  • Negative divergence means that positive divergence means that the value that the purchaser feels about the food is lower than the selling price.
  • the positive divergence is that the value that the purchaser feels about the food is higher than the selling price.
  • step S112 if the purchaser score is lower than the selling price, the process proceeds to step S113 (Yes in step S112).
  • step S113 the factor estimation unit 114, based on the food attribute information and the consumption process information, from the production of the food such as the producer, the distributor, the cooperative, the store, and the purchaser to the consumption by the purchaser.
  • the factor is a point that should be improved in order to increase the satisfaction of the purchaser.
  • the purchaser score is lower than the selling price, the purchaser is not satisfied with the quality of the food.
  • the positive divergence the reason is that the satisfaction of the purchaser is high, and it is the food that the retailer understands whether it is a phenomenon only for a specific purchaser or a phenomenon common to a certain group. It is considered that there is a high merit in terms of purchasing and sales strategy.
  • Factor estimation is performed based on the knowledge with reference to the factor reference database 115.
  • the factors can be estimated as follows.
  • the factor can be estimated in this way, it is possible to give instructions for improvement to the producer, delivery company, and retailer who have the factor, and to give advice to the purchaser.
  • step S210 the preference information management unit 104 updates the preference information based on the purchaser score and the consumption process information which is a factor of the score deviation.
  • Update of preference information updates preference information for food items of the lowest concept and reflects it in food items of the higher concept. Specifically, when the purchaser purchases an apple, the preference information about the apple is updated, reflected in the fruit preference information of the superordinate concept, and further reflected in the general-purpose preference information. By updating the preference information in this way, for example, when a purchaser who purchases only apples purchases oranges, the individual determination unit 109 sends the individual to the purchaser based on the upper specific preference information about the fruit. Can be decided.
  • the preference information is updated based on the knowledge base and points referring to the preference information storage unit 103.
  • the preference information can be updated as follows.
  • the preference information includes low-price-oriented and high-price-oriented foods selected by selling price, production area-oriented foods selected by production area, variety-oriented foods selected by variety, freshness-oriented foods selected by freshness, and food appearance.
  • Each orientation has points (for example, numerical values such as 0 to 300), and these points are increased or decreased based on food attribute information and consumption process information as score deviation factors, and the purchaser's preference information is based on the point value. Update.
  • the food attribute information and the consumption process information as the score divergence factor for a specific food as the lower specific preference information are "the appearance is bad but the selling price is low”
  • the price is low for the specific food.
  • the food attribute information and consumption process information as the factors of score deviation are "I do not accept scratches even if the price rises”
  • the points for low price orientation are reduced and the points for appearance orientation are increased. ..
  • food attribute information and consumption process information as score deviation factors are "low selling price”, “close to expiration date”, and “consumed immediately after purchase”. In some cases, it increases the low price-oriented points for a particular food and decreases the freshness-oriented points. On the contrary, if the food attribute information and consumption process information as factors of score divergence are that "only foods with a long expiration date are accepted even if the price is high", the points for low price orientation are reduced and the points for freshness orientation are reduced. increase.
  • the specific food when the food attribute information and the consumption process information as the score divergence factor are "accept foreign products instead of the low selling price" for the specific food as the lower specific preference information, the specific food. Increase low-price-oriented points and decrease production-oriented points.
  • the food attribute information and consumption process information as the factors of score deviation are "only domestic products are accepted even if the selling price is high", the points of low price orientation are reduced and the points of production area orientation are increased. ..
  • the specific food when the food attribute information and the consumption process information as the score divergence factor are "accepting an unnamed brand that selects a food with a low selling price" for a specific food as a lower specific preference information, the specific food Increase the points of low price orientation and decrease the points of production area orientation.
  • the food attribute information and consumption process information as factors of score deviation are "only accept national brands even if the selling price is high”, the points for low price orientation are reduced and the points for production area orientation are increased. ..
  • the preference information is updated with the orientation with the highest point as the orientation for that specific food. For example, if a specific food is an apple and the point calculation for each orientation of the apple is the highest, the preference information is updated as the apple is oriented toward the production area. Apple. Further, for example, after that, when the points for each orientation are calculated as described above and the points for the low price orientation are the highest, the preference information is updated as the apples are for the low price orientation.
  • the ranks according to the points are based on the criteria for each orientation (for example, 3 levels of A, B, and C in order from the highest). It is also possible to set and update the preference information by comparing each intention based on the rank. For example, if the price orientation is 200 points or more and rank B, and the production area orientation is 50 points or more and rank A, the preference information is production area oriented because it is price oriented when judged by points but production area oriented when judged by rank. , And so on.
  • the preference information is updated so that the selling price orientation is high and the freshness orientation is low.
  • the preference information is updated so that the appearance orientation is low and the freshness orientation is also low.
  • the selling price determination unit 106 may determine the selling price of the food each time the distribution factor is estimated or the preference information is updated, regardless of the estimation of the distribution factor or the update of the preference information. , The selling price may be determined at a predetermined timing.
  • the processing in this technology is performed as described above. According to this technology, by managing consumption process information, which is information when a purchaser consumes food, the state of the food sent to the purchaser and the reaction when the purchaser consumes the food can be grasped. be able to. As a result, it is possible to grasp the purchaser's preference for food and select and ship an individual according to the purchaser's food preference, so that the purchaser's satisfaction with food purchase can be enhanced. Therefore, it is possible to solve the problem that the food that the purchaser is not satisfied with is delivered to the purchaser because the purchaser cannot directly see or touch the food in the sale of the food in the online shop.
  • the individual of the shipped food and the individual received by the purchaser can be associated with each other, and the factor can be estimated in the distribution route from production to shipping and consumption based on the condition of the food and the reaction of the purchaser. Satisfaction can be increased.
  • the retailer can sell the food at a more appropriate selling price.
  • This technology is particularly useful in the sale of fresh foods among foods. This is because fresh foods have different conditions and characteristics, so it is more important to select and purchase which individual than other foods such as processed foods.
  • the preference information is generated and updated based on the food ordered by the purchaser in the online shop, but it is also possible to generate and update the preference information based on the food purchased by the purchaser in the actual store.
  • the consumption process information is generated and updated based on the image taken by the camera 300 of the state when the purchaser consumes the food purchased at the actual store, as in the case of the food purchased at the online shop. Since the purchaser only has to consume the food purchased at the physical store and the food purchased at the online shop without being aware of it, the purchaser is not burdened. By recognizing the product ID for sale, it can be confirmed that the food purchased at the physical store is the food purchased at the physical store of the same series as the online shop.
  • the camera 300 automatically transmits the image to the information processing device 100, but the purchaser operates the information processing device 100 to transmit the image of the food taken by the purchaser with a smartphone, a tablet terminal, or the like. You may do it.
  • the explanation is given by taking as an example a purchaser who purchases and consumes food, but the person who purchases food confirms and sells not only the person who consumes the food but also the purchased food. It may be a distributor such as a supermarket, a restaurant clerk, or a restaurant that cooks and processes purchased food and provides meals to customers. If the purchaser is a seller, the purchaser checks the food, etc., and the camera 300 is installed at the store. If the purchaser is a restaurant, the purchaser cooks and processes the food, and the camera is installed. The 300 is installed in the kitchen of a restaurant.
  • a microphone that acquires voice in place of or in combination with the camera 300, a temperature sensor that measures the body temperature of the purchaser, or the like may be used.
  • a temperature sensor that measures the body temperature of the purchaser, or the like may be used.
  • any camera may be used as long as it can acquire feedback information on the food of the purchaser and information on the state of the food.
  • Blockchain technology can also be used to manage various IDs, personal information, consumption process information, attribute information, etc. used in this technology.
  • Blockchain is also called distributed ledger technology, and all data transmission and reception on the blockchain system is saved as a history.
  • all users who use the devices connected by the blockchain system and the business operator who provides the content monitoring server can check the transmission / reception history of all the data on the blockchain, and the transmitted / received data can be confirmed. You can also trace the data.
  • This technology can also take the following configurations.
  • Information processing provided with a consumption process information management unit that acquires and manages consumption process information, which is information when the purchaser consumes food that the retailer receives an order via a network and ships to the purchaser.
  • the consumption process information is acquired from an image and / or a video of the purchaser consuming the food as the sensor information.
  • the information processing apparatus according to (1) or (2), wherein the consumption process information is feedback information including a reaction when the purchaser consumes the food.
  • the information processing apparatus comprising a food attribute information management unit that manages food attribute information indicating the food attribute.
  • the food attribute information management unit grasps the tracking status of the food sent by the store to the purchaser based on the sensor information.
  • the information processing apparatus comprising a preference information management unit that manages preference information indicating preferences when the purchaser orders the food.
  • the information processing apparatus has general-purpose preference information and specific preference information.
  • the information processing device wherein the general-purpose preference information is information indicating the preference of the purchaser at the time of food selection without limiting the type of the food.
  • the information processing device according to (8) or (9), wherein the specific preference information is information indicating the purchaser's preference for food selection for a specific food.
  • the preference information is associated with a reliability indicating the degree of reliability based on the amount of the consumption process information referred to for generating the preference information.
  • Processing equipment (12) The information according to any one of (7) to (11), comprising an individual determination unit for determining a specific individual of the food to be shipped to the purchaser by the store based on the preference information and the food attribute information. Processing equipment.
  • the information processing apparatus comprising a purchaser score calculation unit for calculating a purchaser score for the food based on the selling price of the food and the consumption process information.
  • the information processing device comprising the preference information management unit updates the preference information based on the purchaser score and the consumption process information.
  • the information processing apparatus comprising a factor estimation unit for estimating a factor in the distribution of the food based on the consumption process information.
  • the information processing apparatus further comprising a selling price determining unit that determines the selling price based on the food inventory information, the selling price setting strategy information, and the preference information.

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Abstract

This information processing device comprises a consumption process information management unit that manages consumption process information by acquiring same from sensor information, the consumption process information being information about consumption by a purchaser of a food item that has been sent to the purchaser by a seller upon receiving an order via a network.

Description

情報処理装置、情報処理方法、情報処理プログラムInformation processing equipment, information processing method, information processing program
　本技術は、情報処理装置、情報処理方法、情報処理プログラムに関する。 This technology relates to information processing devices, information processing methods, and information processing programs.
　近年、インターネットの普及により、インターネット上におけるオンラインショップで食品を注文して、自宅などでその食品を受け取るいわゆるオンラインショッピングが広く利用されるようになっている。 In recent years, with the spread of the Internet, so-called online shopping, in which food is ordered from an online shop on the Internet and the food is received at home, has become widely used.
　そのようなオンラインショッピングでは食品の品質に対する信頼性を高いこと、購入
／注文が容易であること、などが求められている。特に食品においては鮮度などにおいて他の分野の食品よりも高い信頼性が求められる場合がある。そこで、生鮮食料品データベースによって、生鮮食料品の情報の入力や利用を容易とし、生鮮食料品に対する信頼性を高くして取引を行うことができる生鮮食料品取引システムが提案されている（特許文献１）。 Such online shopping requires high reliability of food quality, easy purchase / order, and the like. In particular, foods may be required to have higher reliability than foods in other fields in terms of freshness and the like. Therefore, a fresh food trading system has been proposed in which a fresh food database makes it easy to input and use information on fresh food and makes it possible to conduct transactions with high reliability for fresh food (Patent Documents). 1).
特開２００３－３０４８６号公報Japanese Patent Application Laid-Open No. 2003-30486
　しかし、特許文献１では生鮮食料品を購入した購入者側の観点、購入者の反応やフィードバックなどは含まれておらず、生鮮食料品に対する満足度を高くするという点などにおいて十分ではない。 However, Patent Document 1 does not include the viewpoint of the purchaser who purchased the fresh food, the reaction and feedback of the purchaser, and is not sufficient in terms of increasing the satisfaction with the fresh food.
　本技術はこのような点に鑑みなされたものであり、購入者の食品に対する満足度を高めることができる情報処理装置、情報処理方法および情報処理プログラムを提供することを目的とする。 This technology was made in view of these points, and an object of the present invention is to provide an information processing device, an information processing method, and an information processing program that can increase the satisfaction of the purchaser with food.
　上述した課題を解決するために、第１の技術は、販売店がネットワークを介して注文を受けて購入者に発送した食品を前記購入者が消費する際の情報である消費過程情報をセンサ情報から取得して管理する消費過程情報管理部を備える情報処理装置である。 In order to solve the above-mentioned problems, the first technology is sensor information on consumption process information, which is information when the purchaser consumes the food that the store receives an order via the network and ships to the purchaser. It is an information processing device equipped with a consumption process information management unit that is acquired and managed from.
　また、第２の技術は、販売店がネットワークを介して注文を受けて購入者に発送した食品を前記購入者が消費する際の情報である消費過程情報をセンサ情報から取得して管理する情報処理方法である。 The second technology is information that acquires and manages consumption process information, which is information when the purchaser consumes the food that the store receives an order via the network and ships to the purchaser. It is a processing method.
　さらに、第３の技術は、販売店がネットワークを介して注文を受けて購入者に発送した食品を前記購入者が消費する際の情報である消費過程情報をセンサ情報から取得して管理する情報処理方法をコンピュータに実行させる情報処理プログラムである。 Further, the third technology is information that acquires and manages consumption process information, which is information when the purchaser consumes the food that the retailer receives an order via the network and ships to the purchaser, from the sensor information. It is an information processing program that causes a computer to execute a processing method.
情報処理システム１０の構成を示すブロック図である。It is a block diagram which shows the structure of an information processing system 10. サーバ装置４００の構成を示すブロック図である。It is a block diagram which shows the structure of a server apparatus 400. 情報処理装置１００の構成を示すブロック図である。It is a block diagram which shows the structure of an information processing apparatus 100. 好み情報の説明図である。It is explanatory drawing of preference information. 食品属性情報の説明図である。It is explanatory drawing of the food attribute information. 情報処理装置１００による処理を示すフローチャートである。It is a flowchart which shows the process by an information processing apparatus 100.
　以下、本技術の実施の形態について図面を参照しながら説明する。なお、説明は以下の順序で行う。
＜１．実施の形態＞
［１－１．実店舗における販売とオンラインショップにおける販売の違い］
［１－２．情報処理システム１０の構成］
［１－３．情報処理装置１００の構成］
［１－４．情報処理装置１００における処理］
＜２．変形例＞ Hereinafter, embodiments of the present technology will be described with reference to the drawings. The explanation will be given in the following order.
<1. Embodiment>
[1-1. Difference between sales in physical stores and sales in online shops]
[1-2. Configuration of information processing system 10]
[1-3. Configuration of information processing device 100]
[1-4. Processing in the information processing device 100]
<2. Modification example>
＜１．実施の形態＞
［１－１．実店舗における販売とオンラインショップにおける販売の違い］
　まず、実店舗における食品の販売と、オンラインショップにおける食品の販売との違いについて説明する。実店舗とは購入者が直接食品を見て、触れて、手にとって、確認した上で購入することができる、実在する店舗のことである。オンラインショップとはインターネット上のウェブサイトや総合ショッピングモールなどにおける仮想的な店舗である。オンラインショップでは購入者はパーソナルコンピュータやスマートフォンの画面に表示された食品を見て食品を注文し、オンラインショップの運営者が後日その食品を購入者に発送することで食品が購入者の元に届く。オンラインショップでは購入者は食品の実物を見ること、触れること、手にとることなどはできない。 <1. Embodiment>
[1-1. Difference between sales in physical stores and sales in online shops]
First, the difference between the sale of food in a physical store and the sale of food in an online shop will be explained. A physical store is an existing store where the purchaser can directly see, touch, pick up, and confirm the food before making a purchase. An online shop is a virtual store on a website on the Internet or a general shopping mall. In the online shop, the purchaser looks at the food displayed on the screen of the personal computer or smartphone and orders the food, and the operator of the online shop ships the food to the purchaser at a later date so that the food reaches the purchaser. .. Buyers cannot see, touch, or pick up the actual food in the online shop.
　ここではりんごを具体的な食品の例として説明する。実店舗での販売においては、りんごの山など多数のりんごの中から購入者が自らの意志により購入するりんごを選択し、購入者が販売店から示される販売価格を支払うことで購入する。 Here, apples will be explained as an example of specific foods. When selling at a physical store, the purchaser selects an apple to be purchased at his / her own will from a large number of apples such as a pile of apples, and the purchaser pays the selling price indicated by the store to purchase the apple.
　一方、オンラインショップにおいては、購入者は「りんご」という品目単位でしか注文を行うことができず、具体的にりんごのどの個体が購入者の手元に届くかは販売店側に委ねられている。 On the other hand, in the online shop, the purchaser can only place an order in units of items called "apples", and it is up to the retailer to decide which individual apple will be delivered to the purchaser. ..
　食品の個体を購入者の責任で選択するのではなく、販売店が選択することの弊害としては、購入者に対してなぜその個体を選んで販売したかといった説明責任を果たす必要が生じる点である。なぜなら、公知の情報としておいしいりんごの見分け方が知られており、多くの購入者がこう言った基準に基づいておいしいりんごを手に入れたいと考えているからである。 Rather than selecting an individual food item at the buyer's responsibility, the disadvantage of the retailer's selection is that it is necessary to be accountable to the purchaser as to why the individual was selected and sold. be. This is because, as publicly known information, how to distinguish delicious apples is known, and many purchasers want to obtain delicious apples based on these criteria.
　しかし、全購入者に平等に販売することは困難であるのと同時においしいりんごの基準を満たさない食品の取り扱いも販売店にとって課題となる。このため、販売店は食品の値付け時だけおいしいりんごの基準を満たすような不正・偽装（ツヤが出るようにワックスで磨く、赤く見えるようにするために赤色ライトを当てるなど）を行うことが危惧される。 However, it is difficult to sell equally to all purchasers, and at the same time, handling foods that do not meet the standards for delicious apples is also an issue for retailers. For this reason, retailers may cheat or disguise (such as polishing with wax to give a glossy appearance or shining a red light to make it look red) to meet the standards for delicious apples only when pricing food. I'm worried.
　こういった不正・偽装は販売店だけでなく購入者側でも行われるおそれがある。例えば、購入者が受け取り後わざと外見を傷つけたり変色ライトを当てたりして販売価値にそぐわない食品であるとクレームを付けることも考えられる。もしくは、販売店から購入者に食品を届ける配送業者によるミスやトラブルによって食品の価値が下がってしまう可能性もあり得る。 There is a risk that such fraud and camouflage will be carried out not only by the retailer but also by the purchaser. For example, it is conceivable that the purchaser intentionally damages the appearance or illuminates the discolored light after receiving the food to claim that the food is not suitable for the selling value. Alternatively, the value of the food may be reduced due to mistakes or troubles made by the delivery company that delivers the food from the store to the purchaser.
　このように、実店舗での販売に比べてオンラインショップでの販売は個体選定の責任が購入者ではなく販売店側に委ねられるため、様々な課題が生じるし、購入者の食品に対する満足度が低くなってしまうおそれがある。本技術はこのような課題を解決し、オンラインショップを利用した購入者の食品購入における満足度を高めるものである。 In this way, compared to sales at physical stores, sales at online shops leave the responsibility for individual selection to the retailer rather than the purchaser, which causes various problems and the purchaser's satisfaction with food. It may be low. This technology solves such a problem and enhances the satisfaction of the purchaser who uses the online shop in purchasing food.
［１－２．情報処理システム１０の構成］
　図１を参照して情報処理システム１０の構成について説明する。情報処理システム１０は情報処理装置１００、端末装置２００およびカメラ３００から構成されている。情報処理装置１００はサーバ装置４００などにおいて動作してクラウドシステムを構成する。端末装置２００は食品をオンラインショップで販売する販売店に設けられている。カメラ３００は購入者の自宅などにおいて、購入者がオンラインショップで購入した食品を受け取り、消費（確認、調理、加工、食べる、飲むなど）する空間を撮影できるように設けられている。 [1-2. Configuration of information processing system 10]
The configuration of the information processing system 10 will be described with reference to FIG. The information processing system 10 includes an information processing device 100, a terminal device 200, and a camera 300. The information processing device 100 operates in a server device 400 or the like to form a cloud system. The terminal device 200 is provided at a store that sells food at an online shop. The camera 300 is provided so that the purchaser can take a picture of a space where the purchaser receives the food purchased at the online shop and consumes it (confirmation, cooking, processing, eating, drinking, etc.) at the purchaser's home or the like.
　販売店は、食品をオンラインショップで購入者に食品を販売する事業者の店舗である。なお、オンラインショップは販売店自らがウェブサイトやシステムを構築して作成したものでもよいし、インターネット上の総合ショッピングモールなどのシステムを利用して、そこに出店する形態でもよい。実店舗があってもなくてもよく、インターネットを介して購入者から注文を受け、その購入者に食品を発送することができればどのような形態でもよい。 A store is a store of a business that sells food to purchasers at an online shop. The online shop may be created by the retailer himself by constructing a website or a system, or may be opened in a system such as a general shopping mall on the Internet. It may or may not have a physical store, and may be in any form as long as it can receive an order from a purchaser via the Internet and ship the food to the purchaser.
　端末装置２００はネットワークを介して情報処理装置１００と接続されており、販売店において店員等が情報処理装置１００に送信する各種情報の入力や、情報処理装置１００から提供された情報の確認などに用いるものである。端末装置２００は例えばパーソナルコンピュータ、タブレット端末、スマートフォンなどにより構成される。 The terminal device 200 is connected to the information processing device 100 via a network, and is used for inputting various information transmitted to the information processing device 100 by a clerk or the like at a store, checking information provided by the information processing device 100, and the like. It is to be used. The terminal device 200 is composed of, for example, a personal computer, a tablet terminal, a smartphone, or the like.
　販売店は、販売する食品の外観、重さ、産地、種別、生産時期、利益率といった販売店独自の基準により食品に販売価格付けを行う。この販売価格は販売店が定めた販売食品に対するスコアに相当する。なお、後述するように食品の販売価格は情報処理装置１００の販売価格決定部１０６により自動で決定することもできるため、初期販売価格のみを販売店の店員等が決定し、それ以降は情報処理装置１００で販売価格を決定してもよいし、初期販売価格も含めて全ての販売価格を情報処理装置１００で決定してもよい。 The retailer sets the selling price of the food according to the retailer's own criteria such as the appearance, weight, production area, type, production time, and profit margin of the food to be sold. This selling price corresponds to the score for the food for sale set by the retailer. As will be described later, the selling price of the food can be automatically determined by the selling price determining unit 106 of the information processing apparatus 100, so that only the initial selling price is determined by the sales clerk of the store, and the information is processed thereafter. The selling price may be determined by the apparatus 100, or all the selling prices including the initial selling price may be determined by the information processing apparatus 100.
　販売店は、商品として販売する食品ごとに販売商品ＩＤ（Identification）を付与する。販売商品ＩＤは流通のトレーサビリティー管理を可能とするための一意の値である。販売商品ＩＤは販売価格の根拠となる情報と紐づけられて情報処理装置１００上で食品属性情報として管理される。販売価格の根拠とは、食品の外観、重さ、産地、種別、生産時期、利益率など食品の販売価格決定の根拠となる情報であり、販売店の店員等が入力する。例えば、４つのりんごを１セットとして一袋で販売するような、複数の個別の食品が一つの販売単位で販売されている場合、１セットに一つの販売商品ＩＤが付与される。 The store assigns a sales product ID (Identification) to each food product sold as a product. The sales product ID is a unique value for enabling traceability management of distribution. The sales product ID is associated with the information that is the basis of the sales price and is managed as food attribute information on the information processing apparatus 100. The basis of the selling price is information that is the basis for determining the selling price of the food such as the appearance, weight, production area, type, production time, and profit margin of the food, and is input by the clerk of the store. For example, when a plurality of individual foods are sold in one sales unit, such as selling four apples as one set in one bag, one sales product ID is given to one set.
　また、販売店は流通過程において食品の入れ替えや改ざんを防止するために販売商品ＩＤが印刷されたセキュリティーシールで購入者に発送する食品に封をする。これにより食品が販売店から購入者に届き、購入者が食品を開封するまでの間に入れ替えや改ざんが起きないことを保証する。 In addition, the retailer seals the food to be shipped to the purchaser with a security sticker on which the product ID for sale is printed in order to prevent the food from being replaced or tampered with during the distribution process. This ensures that the food arrives at the buyer from the retailer and is not replaced or tampered with before the buyer opens the food.
　購入者は、オンラインショップを通じて販売店に食品の注文を行い、販売店から発送された食品を受け取る者である。購入者には購入した食品を消費する消費者、購入した食品を確認および陳列して販売するスーパーなどの販売業者、購入した食品を調理加工して客に提供する飲食業者などが含まれる。本実施の形態では購入者は消費者であるとして説明を行う。 The purchaser is a person who places an order for food from a store through an online shop and receives the food shipped from the store. Buyers include consumers who consume the purchased food, distributors such as supermarkets who confirm and display the purchased food, and food and drink companies who cook and process the purchased food and provide it to customers. In this embodiment, the purchaser is assumed to be a consumer.
　カメラ３００は購入者の自宅などに設けられており、情報処理装置１００が食品認識処理、消費過程情報取得を行うための画像および／または映像を取得して情報処理装置１００に送信するためのものである。カメラは広義の意味でのセンサであり、撮影された画像／映像は特許請求の範囲におけるセンサ情報に相当するものである。本実施の形態ではカメラ３００が撮影した画像が情報処理装置１００に送信されるものとする。 The camera 300 is provided at the purchaser's home or the like, and the information processing device 100 acquires an image and / or a video for performing food recognition processing and consumption process information acquisition and transmits the image and / or video to the information processing device 100. Is. The camera is a sensor in a broad sense, and the captured image / video corresponds to the sensor information in the claims. In the present embodiment, it is assumed that the image taken by the camera 300 is transmitted to the information processing apparatus 100.
　カメラ３００は購入者による購入した食品に対する行動（消費、確認、陳列、調理加工など）を撮影可能な空間に設置されるものである。カメラ３００の設置空間は、購入者が何者であり、どこで食品に対する行動をとるかによって決定するものである。購入者が消費者である場合、カメラ３００は消費者が食品を消費する購入者宅内に設置する必要がある。購入者が販売業者である場合、カメラ３００は販売業者が食品を確認、陳列等する店舗内に設置する必要がある。さらに、購入者が飲食業者である場合、カメラ３００は飲食業者が食品を調理加工する飲食店内のなどに設置する必要がある。 The camera 300 is installed in a space where the purchaser's actions (consumption, confirmation, display, cooking processing, etc.) on the purchased food can be photographed. The installation space of the camera 300 is determined by who the purchaser is and where he / she takes action on food. If the purchaser is a consumer, the camera 300 needs to be installed in the purchaser's home where the consumer consumes the food. If the purchaser is a seller, the camera 300 needs to be installed in a store where the seller checks and displays food. Further, when the purchaser is a restaurant, the camera 300 needs to be installed in a restaurant where the restaurant cooks and processes food.
　本実施の形態ではカメラ３００はネットワークを通じて情報処理装置１００と接続され、撮影した画像を情報処理装置１００に送信することができるいわゆるネットワークカメラ３００であるとして説明を行なう。消費社宅がすでにホームセキュリティーカメラのような屋内ネットワークカメラを備えている場合にはそれをカメラ３００として利用してもよい。 In the present embodiment, the camera 300 is described as a so-called network camera 300 that is connected to the information processing device 100 through a network and can transmit the captured image to the information processing device 100. If the consumer company housing already has an indoor network camera such as a home security camera, it may be used as the camera 300.
　カメラ３００は常時撮影状態で情報処理装置１００に画像を送信し続けてもよいし、公知の人物検出技術を用いて画角内に人が存在することを検出した場合や、画像認識で販売商品ＩＤを検出した場合に撮影を行い、画像を情報処理装置１００に送信するようにしてもよい。 The camera 300 may continue to transmit images to the information processing apparatus 100 in a constantly shooting state, or when it is detected that a person is present within the angle of view by using a known person detection technique, or a product sold by image recognition. When the ID is detected, an image may be taken and the image may be transmitted to the information processing apparatus 100.
　また、カメラ３００はスマートフォンなどの端末装置と専用アプリケーションにより販売店から配送された食品を認識したり、購入者が消費する過程をモニタリングして情報を情報処理装置１００に送信できるものでもよい。 Further, the camera 300 may be capable of recognizing food delivered from a store by a terminal device such as a smartphone and a dedicated application, monitoring the process of consumption by the purchaser, and transmitting information to the information processing device 100.
　情報処理装置１００は販売店が販売する食品の属性を示す食品属性情報や在庫の管理、購入者が食品を注文する際の傾向を示す好み情報の管理、オンラインショップで注文した購入者に発送する食品個体の決定、食品の流通における要因の推定などを行うものである。 The information processing device 100 manages food attribute information and inventory that indicate the attributes of food sold by the retailer, manages preference information that indicates the tendency of the purchaser to order food, and ships to the purchaser who ordered at the online shop. It determines individual foods and estimates factors in food distribution.
　情報処理装置１００はサーバ装置４００などにおいて動作し、クラウドシステムを構成する。サーバ装置４００は、図２に示すように制御部４０１、インターフェース４０２、記憶部４０３を備えて構成されている。 The information processing device 100 operates on a server device 400 or the like to form a cloud system. As shown in FIG. 2, the server device 400 includes a control unit 401, an interface 402, and a storage unit 403.
　制御部４０１は、ＣＰＵ（Central Processing Unit）、ＲＡＭ（Random access Memory）およびＲＯＭ（Read Only Memory）などから構成されている。ＣＰＵがＲＯＭに記憶されたプログラムに従い様々な処理を実行してコマンドの発行を行うことによってサーバ装置４００および情報処理装置１００の全体および各部の制御を行う。 The control unit 401 is composed of a CPU (Central Processing Unit), a RAM (Random access Memory), a ROM (Read Only Memory), and the like. The CPU executes various processes according to the program stored in the ROM and issues commands to control the entire server device 400 and the information processing device 100 and each part thereof.
　インターフェース４０２は、端末装置２００、カメラ３００などの装置間やネットワークなどとの間のインターフェースである。インターフェース４０２は、有線または無線の通信インターフェースを含みうる。また、より具体的には、有線または無線の通信インターフェースは、３ＴＴＥなどのセルラー通信、４Ｇ、５Ｇ、Ｗｉ－Ｆｉ、Ｂｌｕｅｔｏｏｔｈ（登録商標）、ＮＦＣ（Near　Field　Communication）、イーサネット（登録商標）、ＨＤＭＩ（登録商標）（High-Definition　Multimedia　Interface）、ＵＳＢ（Universal　Serial　Bus）などを含みうる。また、情報処理装置１００とそれが動作するサーバ装置４００の全部または一部が同一の装置で実現される場合、インターフェース４０２は、装置内のバスや、プログラムモジュール内でのデータ参照などを含みうる。また、情報処理装置１００が複数の装置に分散して実現される場合、インターフェース４０２は、それぞれの装置のための異なる種類のインターフェースを含みうる。例えば、インターフェース４０２は、通信インターフェースと装置内のインターフェースとの両方を含んでもよい。 The interface 402 is an interface between devices such as a terminal device 200 and a camera 300, and between a network and the like. Interface 402 may include a wired or wireless communication interface. More specifically, the wired or wireless communication interface is cellular communication such as 3TTE, 4G, 5G, Wi-Fi, Bluetooth (registered trademark), NFC (Near Field Communication), Ethernet (registered trademark), HDMI. (Registered trademark) (High-Definition Multimedia Interface), USB (Universal Serial Bus), etc. may be included. Further, when all or a part of the information processing apparatus 100 and the server apparatus 400 on which the information processing apparatus 100 operates are realized by the same apparatus, the interface 402 may include a bus in the apparatus, a data reference in the program module, and the like. .. Further, when the information processing apparatus 100 is distributed and realized in a plurality of apparatus, the interface 402 may include a different kind of interface for each apparatus. For example, the interface 402 may include both a communication interface and an in-device interface.
　記憶部４０３は、例えば、ハードディスク、フラッシュメモリなどにより構成された大容量記憶媒体である。記憶部４０３には情報処理システム１０の運用のためのプログラム、アプリケーション、その他のデータなどが保存されている。情報処理装置１００における各種情報格納部、各種データベースは記憶部４０３を用いて構成されてもよい。 The storage unit 403 is a large-capacity storage medium composed of, for example, a hard disk, a flash memory, or the like. The storage unit 403 stores programs, applications, other data, and the like for operating the information processing system 10. Various information storage units and various databases in the information processing apparatus 100 may be configured by using the storage unit 403.
　情報処理システム１０は以上のように構成されている。なお、図１では販売店における端末装置２００は一つ記載してあるが、複数の販売店の複数の端末装置２００を情報処理装置１００に接続して、複数の販売店における食品の販売を情報処理装置１００で管理することも可能である。 The information processing system 10 is configured as described above. Although one terminal device 200 at a store is shown in FIG. 1, information on sales of food at a plurality of stores can be obtained by connecting a plurality of terminal devices 200 at a plurality of stores to the information processing device 100. It can also be managed by the processing device 100.
［１－３．情報処理装置１００の構成］
　次に図３を参照して情報処理装置１００の構成について説明する。情報処理装置１００は、戦略情報格納部１０１、流通・在庫情報格納部１０２、好み情報格納部１０３、好み情報管理部１０４、好み情報用参照データベース１０５、販売価格決定部１０６、食品属性情報格納部１０７、食品属性情報管理部１０８、個体決定部１０９、食品認識部１１０、消費過程情報格納部１１１、消費過程情報管理部１１２、購入者スコア算出部１１３、要因推定部１１４、要因用参照データベース１１５を備えて構成されている。 [1-3. Configuration of information processing device 100]
Next, the configuration of the information processing apparatus 100 will be described with reference to FIG. The information processing apparatus 100 includes a strategy information storage unit 101, a distribution / inventory information storage unit 102, a preference information storage unit 103, a preference information management unit 104, a preference information reference database 105, a selling price determination unit 106, and a food attribute information storage unit. 107, food attribute information management unit 108, individual determination unit 109, food recognition unit 110, consumption process information storage unit 111, consumption process information management unit 112, purchaser score calculation unit 113, factor estimation unit 114, factor reference database 115. It is configured with.
　戦略情報格納部１０１は、販売店が食品の販売価格を決定する際の指針となる戦略である販売価格設定戦略情報、方針、食品ごとの利益率などを含む戦略情報を格納するものである。戦略情報は企業秘密であり、販売店の店員等が端末装置２００に入力した戦略情報がネットワークを介して情報処理装置１００に送信されることで戦略情報格納部１０１に格納される。 The strategy information storage unit 101 stores strategic information including sales price setting strategy information, policies, profit margins for each food, etc., which are strategies that guide the retailer when determining the selling price of food. The strategy information is a company secret, and the strategy information input to the terminal device 200 by a store clerk or the like is transmitted to the information processing device 100 via the network and stored in the strategy information storage unit 101.
　流通・在庫情報格納部１０２は、販売店の食品仕入れ情報、各食品の流通経路情報、販売店における各食品の在庫情報などの流通・在庫情報を格納するものである。流通経路とは食品の生産者、流通業者、協同組合など食品が生産されてから販売店に到着するまでの経路である。流通・在庫情報は販売店の店員等が定期的に端末装置２００に入力し、それがネットワークを介して情報処理装置１００に送信されることで流通・在庫情報格納部１０２に格納される。または、販売店が使用する在庫管理システムなどから取得してもよい。 The distribution / inventory information storage unit 102 stores distribution / inventory information such as food purchase information of a store, distribution channel information of each food, and inventory information of each food at the store. The distribution channel is a route from the production of food to the arrival at the store, such as food producers, distributors, and cooperatives. The distribution / inventory information is periodically input to the terminal device 200 by a store clerk or the like, and is transmitted to the information processing apparatus 100 via the network to be stored in the distribution / inventory information storage unit 102. Alternatively, it may be obtained from an inventory management system used by the store.
　好み情報格納部１０３は、購入者が販売店のオンラインショップで食品を注文する際の好み（傾向、基準、理由ともいえる）を示す好み情報を格納するものである。好み情報管理部１０４は購入者スコアや消費過程情報に基づいて好み情報の生成、更新など好み情報の管理を行なうものである。好み情報用参照データベース１０５は、好み情報を更新するために好み情報管理部１０４が参照する情報を格納するものである。 The preference information storage unit 103 stores preference information indicating preferences (which can be said to be trends, criteria, and reasons) when a purchaser orders food at an online shop of a store. The preference information management unit 104 manages preference information such as generation and update of preference information based on the purchaser score and consumption process information. The preference information reference database 105 stores information referred to by the preference information management unit 104 in order to update the preference information.
　図４Ａに示すように、好み情報には汎用好み情報と特定好み情報とがある。汎用好み情報とは、食品の品目に関係なく購入者が注文する食品を選ぶ際の好みを示すものであり、食品を販売価格で選ぶ低価格志向と高価格志向、食品を産地で選ぶ産地志向、食品を品種で選ぶ品種志向、食品を鮮度で選ぶ鮮度志向、食品を見た目で選ぶ外観志向などがある。なお、ここに挙げた志向はあくまで例示であり、購入者が食品を注文する際の好み、傾向、基準、理由であればどのようなものでもよい。 As shown in FIG. 4A, the preference information includes general-purpose preference information and specific preference information. The general-purpose preference information indicates the preference when the purchaser selects the food to be ordered regardless of the food item, and is low-price-oriented and high-price-oriented to select the food by the selling price, and the production area-oriented to select the food by the production area. There are varieties-oriented foods that are selected by variety, freshness-oriented foods that are selected by freshness, and appearance-oriented foods that are selected by appearance. It should be noted that the orientations listed here are merely examples, and any preference, tendency, standard, or reason for the purchaser to order food may be used.
　特定好み情報とは、特定の食品の品目について、購入者が食品を注文する際の傾向を示すものであり、上位特定好み情報と下位特定好み情報がある。上位特定好み情報とは、果物、野菜、精肉など具体的な食品を包含する上位の種別についての特定好み情報であり、例えば、購入者は野菜を注文する場合に鮮度志向であり、果物を注文する場合には産地志向である、などである。 The specific preference information indicates the tendency of the purchaser to order the food for the item of the specific food, and there are the upper specific preference information and the lower specific preference information. The high-ranking specific preference information is specific preference information about a high-ranking type including specific foods such as fruits, vegetables, and meat. For example, the purchaser is freshness-oriented when ordering vegetables and orders fruits. If you do, you are oriented towards the production area.
　下位特定好み情報とは、下位の特定の具体的な食品についての好み情報であり、例えば、購入者はりんごを選ぶ場合には販売価格志向であり、みかんを選ぶ場合には産地志向である、などである。下位特定好み情報ではさらに具体的に好み情報を定義してもよい。例えば、赤いりんごにおけるおいしいりんごの見分け方として、果皮に張りがあってずっしりと重い、赤く染まっていて軸が太め、葉とらずりんごは色づきが悪くても甘い、お尻が緑色のものは酸味が強め、果皮のテカテカは熟した証し、などの条件が公知のものとして知られている。よって、りんごについての下位特定好み情報としては、張りがある果皮志向、重さ志向、全体が赤く染まっている志向、太い軸志向、緑色のお尻志向、てかりがある果皮志向、などがある。 The lower specific preference information is preference information about a specific lower specific food, for example, the purchaser is price-oriented when selecting apples and production area-oriented when selecting oranges. And so on. In the lower specific preference information, preference information may be defined more specifically. For example, to distinguish delicious apples from red apples, the skin is taut and heavy, the apples are dyed red and the stems are thick, the apples without leaves are sweet even if they are not colored well, and the ones with green butt are sour. It is known that the conditions such as strengthening and shining of the peel are proof of ripeness are known. Therefore, the lower-level specific preference information for apples includes pericarp-oriented, weight-oriented, red-stained overall, thick-axis-oriented, green butt-oriented, and shining-pericarp-oriented. ..
　好み情報は実際に購入者が購入した食品に基づいて生成、更新されるものである。よって、好み情報には信頼度という尺度を付加する。信頼度とは、購入者の注文内容と注文回数に基づく尺度であり、好み情報が信頼性の高い情報であるか、または信頼性の低い情報であるかを示すものである。 Preference information is generated and updated based on the food actually purchased by the purchaser. Therefore, a measure of reliability is added to the preference information. The reliability is a measure based on the purchaser's order contents and the number of orders, and indicates whether the preference information is highly reliable information or unreliable information.
　例えば、汎用好み情報については種類が異なる様々な食品を多数回購入したという食品購入情報に基づいている場合信頼度は高くなる。逆に、特定の食品のみの購入や、少ない購入回数からに基づく汎用好み情報の信頼度は低くなる。 For example, the reliability of general-purpose preference information is high if it is based on food purchase information that various foods of different types have been purchased many times. On the contrary, the reliability of general-purpose preference information based on the purchase of only a specific food or a small number of purchases is low.
　特定好み情報については、多数回購入したという食品購入情報に基づいている場合信頼度は高くなる。逆に、少ない購入回数から算出した特定好み情報の信頼度は低くなる。例えば、信頼度は図４Ａに示すように高、中、低という３段階の指標で定義してもよいし、５段階や１０段階の点数で定義してもよい。 The reliability of specific preference information is high if it is based on food purchase information that has been purchased many times. On the contrary, the reliability of the specific preference information calculated from a small number of purchases is low. For example, as shown in FIG. 4A, the reliability may be defined by a three-step index of high, medium, and low, or may be defined by a score of five or ten steps.
　特定好み情報は購入者の実際に消費した食品についての消費過程情報に基づいて更新されるため、購入したことがない食品、信頼度が低い食品については類似食品の具体的好み情報を使用するか、上位の特定好み情報を使用するか、または汎用好み情報を使用する。 Since the specific preference information is updated based on the consumption process information about the food actually consumed by the purchaser, whether to use the specific preference information of similar foods for foods that have never been purchased or have low reliability. , Use higher-level specific preference information, or use general preference information.
　また、特定好み情報のうち上位に特定好み情報について、包含する下位の食品についての特定好み情報から類推することもできる。例えば、りんごについての下位特定好み情報は産地志向であるため、りんごを包含する果物についての上位特定好み情報も産地志向とする、などである。さらに特定好み情報から汎用好み情報を類推することもできる。例えば、所定数の特定の食品について特定好み情報が産地志向である場合、その購入者は食品の種別に関係なく産地志向であると汎用好み情報を類推する。このようにして好み情報を構築することもできる。 It is also possible to infer the specific preference information at the top of the specific preference information from the specific preference information about the lower foods to be included. For example, since the lower specific preference information for apples is oriented toward the production area, the upper specific preference information for fruits including apples is also oriented toward the production area. Furthermore, general-purpose preference information can be inferred from specific preference information. For example, when the specific preference information for a predetermined number of specific foods is origin-oriented, the purchaser infers the general-purpose preference information as being origin-oriented regardless of the type of food. In this way, preference information can also be constructed.
　好み情報は、まずは多くの購入者に共通する一般的な好み、もしくは、購入者が販売店のオンラインショップに登録した情報に基づいて作成される（例えば住居地域がいわゆる高級住宅街である場合、その購入者は販売価格志向である、など）。そして、好み情報は購入者が販売店のオンラインショップで食品を購入して消費するたびに好み情報管理部１０４によって更新されていき、購入者の好みを反映したものになり精度が上がっていく。 Preference information is first created based on general preferences common to many buyers, or information registered by the buyer in the store's online shop (for example, if the residential area is a so-called luxury residential area). The purchaser is price-oriented, etc.). Then, the preference information is updated by the preference information management unit 104 every time the purchaser purchases and consumes the food at the online shop of the store, and the preference information reflects the purchaser's preference and the accuracy is improved.
　図４Ｂに示すように、好み情報は購入者ＩＤ、住居地域、家族構成、利用頻度などの購入者情報と対応付けられており、購入者ごとに生成される情報である。 As shown in FIG. 4B, the preference information is associated with the purchaser information such as the purchaser ID, the residential area, the family structure, and the frequency of use, and is the information generated for each purchaser.
　購入者ＩＤは購入者を識別するための購入者ごとの固有の識別情報である。住居地域は購入者が住んでいる地域を示す情報であり、具体的な住所単位でもよいし、県単位、市町村単位の情報でもよい。家族構成は購入者の家族構成である。利用頻度は購入者が販売店のオンラインショップで注文を行なう頻度である。 The purchaser ID is unique identification information for each purchaser to identify the purchaser. The residential area is information indicating the area where the purchaser lives, and may be specific address units, prefecture units, or municipal units. The family structure is the family structure of the purchaser. The frequency of use is the frequency with which the purchaser places an order at the online shop of the store.
　家族構成情報、住居地域情報は販売店のオンラインショップに購入者がユーザ登録する際や初回の注文時に入力を要求して、その入力内容を元に作成してもよいし、紐付けられた他のオンラインショップやオンラインサービスなどから取得してもよい。また、利用頻度情報はユーザが入力してもよいし、販売店のオンラインショップに対する購入者の注文数から導き出してもよい。 Family composition information and residential area information may be created based on the input contents when the purchaser requests input at the online shop of the store when the purchaser registers as a user or when the first order is placed, or it is linked. You may get it from your online shop or online service. Further, the usage frequency information may be input by the user or may be derived from the number of purchaser's orders for the online shop of the store.
　販売価格決定部１０６は流通・在庫情報、戦略情報、好み情報に基づいて食品の販売価格を決定する。好み情報を参照することによって、購入者の食品選択傾向や消費志向に基づいて販売価格を決定することができる。なお、好み情報は購入者ごとの情報であるが、その販売店が対象としている購入者全体の統計情報を参照することでその販売店オリジナルの販売価格が決定できる。販売価格決定に用いる戦略情報は販売店の店員等が決めるが、食品の具体的な販売価格は販売価格決定部１０６による処理で自動的に決定する。よって、食品の在庫状況や流通状況などに応じて販売価格を調整することもできる。例えば、色つやがいいりんごを多く売っている場合、在庫に色つやが良くないりんごが増えてしまう。そのような場合、その在庫情報に基づいて販売価格を下げる、ということも可能である。 The selling price determination unit 106 determines the selling price of food based on distribution / inventory information, strategic information, and preference information. By referring to the preference information, the selling price can be determined based on the purchaser's food selection tendency and consumption orientation. Although the preference information is information for each purchaser, the original selling price of the store can be determined by referring to the statistical information of the entire purchaser targeted by the store. The strategic information used for determining the selling price is determined by the clerk of the store, etc., but the specific selling price of the food is automatically determined by the processing by the selling price determination unit 106. Therefore, it is possible to adjust the selling price according to the inventory status and distribution status of food. For example, if you sell a lot of apples with good color, you will have more apples with bad color in your inventory. In such a case, it is possible to lower the selling price based on the inventory information.
　食品属性情報格納部１０７は、販売店が販売する食品に関する情報である食品属性情報を格納するものである。食品属性情報管理部１０８は属性情報の生成、更新など食品属性情報を管理するものである。食品属性情報はオンラインショップにおけるチラシもしくは販売食品選択画面を作成するためにも用いられたり、管理にも用いられる。 The food attribute information storage unit 107 stores food attribute information, which is information about foods sold by retailers. The food attribute information management unit 108 manages food attribute information such as generation and update of attribute information. Food attribute information is also used to create leaflets or food selection screens for sale in online shops, and is also used for management.
　食品属性情報は、図５に示すように、販売商品ＩＤ、食品個別ＩＤ、品目名、追跡状況、販売価格、特徴情報などの情報を含んでいる。 As shown in FIG. 5, the food attribute information includes information such as a product ID for sale, an individual food ID, an item name, a tracking status, a selling price, and characteristic information.
　販売商品ＩＤは上述したように１つの販売単位に一つ付けられるＩＤである。食品個別ＩＤは食品の各個体を識別するために紐づけられ、流通のトレーサビリティー管理を可能とするための一意の値である。例えば、４つのりんごを１セット一袋で販売するような、複数の個別の食品が一つの販売単位で販売されている場合、１セットに一つの販売商品ＩＤが付与され、さらにその中のりんご一つ一つに食品個別ＩＤが紐付けられる。なお、個別の食品一つが販売単位である場合（例えば、一つのりんごが単体で販売されているような場合）は販売商品ＩＤを付け、食品個別ＩＤは紐付けてもよいし、紐付けなくてもよい。 The sales product ID is an ID assigned to one sales unit as described above. The food individual ID is associated to identify each individual food, and is a unique value for enabling traceability management of distribution. For example, when multiple individual foods are sold in one sales unit, such as selling four apples in one bag, one set is given one sales product ID, and the apples in the set are given. An individual food ID is associated with each item. If one individual food is a sales unit (for example, if one apple is sold separately), a sales product ID may be attached, and the individual food ID may or may not be associated. You may.
　品目名は、りんご、みかん、大根、ネギなど具体的な食品の名称である。販売価格は、購入者が食品を購入した際の販売価格である。 The item name is the name of a specific food such as apple, mandarin orange, radish, and green onion. The selling price is the selling price when the purchaser purchases the food.
　追跡状況は、食品の現在の状況を示すものであり、食品が店舗で販売されることを示す「販売中」、食品が店舗から配送されたことを示す「配送中」、購入者が食品を受け取ったことを示す「配送済」、購入者が食品を消費したこと示す「消費済」などがある。食品属性情報管理部１０８はカメラ３００で撮影された画像や映像、販売店からの通知などに基づいて追跡状況を把握することができる。 The tracking status indicates the current status of the food, "on sale" indicating that the food is sold in the store, "in delivery" indicating that the food has been delivered from the store, and the purchaser purchases the food. There are "delivered" indicating that the food has been received, and "consumed" indicating that the purchaser has consumed the food. The food attribute information management unit 108 can grasp the tracking status based on the images and videos taken by the camera 300, the notification from the store, and the like.
　特徴情報は、食品の特徴を示すものであり、購入者の好み情報を購入者に発送する食品の個体決定に反映するための情報でもある。特徴情報としては外観、色合い、断面、大きさ、産地、収穫時期、種別などがある。さらに具体的な食品における特徴情報の例としては、例えばりんごの場合、果皮に張りがある、重さが所定値以上、全体が赤く染まっている、軸が太い、お尻が緑色、果皮にてかりがある、などがある。なお、図５では一つの食品に対して一つの特徴情報が示されているが、特徴情報は一つの食品に対して複数あってもよい。特徴情報は販売店の店員などが端末装置２００を用いて入力したものを情報処理装置１００に送信してもよいし、販売店の在庫をカメラで撮影して画像認識により自動で取得してもよい。 The characteristic information shows the characteristics of the food, and is also the information for reflecting the preference information of the purchaser in the individual determination of the food to be shipped to the purchaser. The characteristic information includes appearance, color, cross section, size, production area, harvest time, and type. As more specific examples of characteristic information in foods, for example, in the case of apples, the pericarp is taut, the weight is more than a predetermined value, the whole is dyed red, the shaft is thick, the butt is green, and the pericarp is There is a light, etc. Although one characteristic information is shown for one food in FIG. 5, a plurality of characteristic information may be present for one food. The feature information may be input to the information processing device 100 by a store clerk or the like using the terminal device 200, or the store's inventory may be photographed with a camera and automatically acquired by image recognition. good.
　販売店は新たな食品を販売することを決定すると、店員等が端末装置２００を用いてその新たな食品についての販売商品ＩＤ、食品個別ＩＤ、品目、価格、特徴情報を入力して情報処理装置１００に送信する。情報処理装置１００がそれらの情報を受信すると、食品属性情報管理部１０８が食品属性情報格納部１０７に登録してその食品についての食品属性情報を生成する。なお、追跡状況は初期状態では「販売中」となっている。 When the store decides to sell a new food, the store clerk or the like inputs the sales product ID, food individual ID, item, price, and feature information about the new food using the terminal device 200, and the information processing device. Send to 100. When the information processing apparatus 100 receives such information, the food attribute information management unit 108 registers with the food attribute information storage unit 107 to generate food attribute information about the food. The tracking status is "on sale" in the initial state.
　個体決定部１０９は、販売店が購入者から食品の注文を受け付けると、食品属性情報と好み情報に基づいて販売店が有する在庫の中から購入者に発送する食品の個体を決定する。具体的には、好み情報が示す購入者が食品を注文する際の好みと、食品属性情報に含まれる産地、収穫時期などの特徴情報を照らし合わせ、好み情報と共通する特徴情報を有する個体を購入者に発送する個体として決定する。 When the retailer receives an order for food from the purchaser, the individual determination unit 109 determines the individual food to be shipped to the purchaser from the inventory held by the retailer based on the food attribute information and preference information. Specifically, an individual having common characteristic information with the preference information is compared with the preference when the purchaser orders the food indicated by the preference information and the characteristic information such as the production area and the harvest time included in the food attribute information. Determined as an individual to be shipped to the purchaser.
　食品認識部１１０は、購入が食品を消費する場所である購入者宅に設置されたカメラ３００で撮影された画像に基づいて購入者が受け取った食品を認識する。食品認識部１１０は、ディープラーニングや機械学習などによる公知の画像認識技術を用いることにより購入者が受け取った食品を認識する。また、食品認識部１１０は食品に付されている販売商品ＩＤを認識することにより購入者が受け取った食品を認識することができる。画像認識と販売商品ＩＤの認識を組み合わせることにより認識の精度を高めることができる。 The food recognition unit 110 recognizes the food received by the purchaser based on the image taken by the camera 300 installed in the purchaser's house where the purchase consumes the food. The food recognition unit 110 recognizes the food received by the purchaser by using a known image recognition technique such as deep learning or machine learning. Further, the food recognition unit 110 can recognize the food received by the purchaser by recognizing the sales product ID attached to the food. The accuracy of recognition can be improved by combining image recognition and recognition of a product ID for sale.
　消費過程情報格納部１１１は、購入者が食品を消費する際の様子を撮影した画像から取得された消費過程情報を格納するものである。消費過程情報管理部１１２は消費過程情報の生成、更新など消費過程情報の管理を行なうものである。 The consumption process information storage unit 111 stores consumption process information acquired from an image of a purchaser consuming food. The consumption process information management unit 112 manages consumption process information such as generation and update of consumption process information.
　消費過程情報としては例えば、カメラ３００で撮影された画像や映像に対する認識処理で取得できる、購入者が食品を消費する際の反応（食べたときの表情、動作など）、を含むフィードバック情報と、食品の外観、色合い、大きさなどの状態や、購入者が食品を調理した際（例えば切ったとき）に露出する食品の断面などの状態情報とを含むものである。消費過程情報は食品属性情報における食品個別ＩＤと紐づけて格納される。なお、フィードバック情報として、購入者からスマートフォンなどを用いて入力して情報処理装置１００に送信されるコメント、評価、購入者スコアなどを含めてもよい。なお、購入者が販売業者である場合、消費過程情報は販売業者が食品を確認等する際の反応（表情、動作など）であり、購入者が飲食業者である場合、消費過程情報は飲食業者が食品を確認、調理加工する際の反応（表情、動作など）である。 As the consumption process information, for example, feedback information including the reaction when the purchaser consumes the food (expression, movement, etc. when eating), which can be acquired by the recognition process for the image or video taken by the camera 300, and It includes state information such as the appearance, color, and size of the food, and the cross section of the food exposed when the purchaser cooks the food (for example, when it is cut). The consumption process information is stored in association with the food individual ID in the food attribute information. The feedback information may include comments, evaluations, purchaser scores, and the like that are input from the purchaser using a smartphone or the like and transmitted to the information processing apparatus 100. If the purchaser is a seller, the consumption process information is the reaction (expression, movement, etc.) when the seller confirms the food, and if the purchaser is a food and drink company, the consumption process information is the food and drink company. Is the reaction (expression, movement, etc.) when checking and cooking food.
　なお、画像認識は精度が常に高いとは限らないため、例えば、食品が販売店から購入したものかが確実に認識できるとは限らない。そこで、消費過程情報はその情報の信頼性を示す指標である信頼度という尺度を付加してもよい。 Note that image recognition is not always highly accurate, so it is not always possible to reliably recognize, for example, food purchased from a store. Therefore, the consumption process information may be added with a scale called reliability, which is an index showing the reliability of the information.
　消費過程情報管理部１１２は、ディープラーニングや機械学習などによる公知の画像認識技術を用いることにより購入者の反応を認識し、その反応から購入者の食品に対する評価を導き出す。例えば、購入者の笑顔が検出された場合、購入者は食品がおいしいものであり、高く評価していると、導き出すことができる。このように購入者の反応から導き出す食品に対する評価も消費過程情報として保存する。 The consumption process information management unit 112 recognizes the reaction of the purchaser by using a known image recognition technology such as deep learning or machine learning, and derives the evaluation of the purchaser's food from the reaction. For example, if a buyer's smile is detected, the buyer can derive that the food is delicious and highly valued. In this way, the evaluation of food derived from the reaction of the purchaser is also stored as consumption process information.
　購入者スコア算出部１１３は、食品属性情報および消費過程情報に基づいて、購入者にとっての食品のスコア（適切だと考える販売価格）を算出する。購入者スコアは食品属性情報に含まれる販売価格を基準として算出される値であり、販売価格との大小を比較できるように円単位で算出される。 The purchaser score calculation unit 113 calculates the food score (the selling price considered appropriate) for the purchaser based on the food attribute information and the consumption process information. The purchaser score is a value calculated based on the selling price included in the food attribute information, and is calculated in yen so that the size can be compared with the selling price.
　要因推定部１１４は、食品属性情報と消費過程情報に基づいて販売価格と購入者スコアの乖離の要因を推定する。致命的なある特定の食品属性情報と消費過程情報から要因を推定することもあれば、多くの購入者において共通する食品属性情報と消費過程情報から要因を推定することもある。要因用参照データベース１１５は、要因の推定に用いるために参照する情報を格納するものである。要因推定の詳細は後述する。 The factor estimation unit 114 estimates the cause of the discrepancy between the selling price and the purchaser score based on the food attribute information and the consumption process information. Factors may be estimated from certain fatal food attribute information and consumption process information, or factors may be estimated from food attribute information and consumption process information common to many purchasers. The factor reference database 115 stores information to be referred to for use in estimating factors. Details of factor estimation will be described later.
　情報処理装置１００は以上のようにして構成されている。 The information processing device 100 is configured as described above.
　以上のようにして情報処理装置１００が構成されている。なお、情報処理装置１００は専用の装置として構成されるのみでなく、プログラムにより構成され、そのプログラムの実行によりサーバ装置４００などが情報処理装置１００として機能を備えるようにしてもよい。そのプログラムは予めサーバ装置４００などにインストールされていてもよいし、ダウンロード、記憶媒体などで配布されてインストールされるようにしてもよい。 The information processing device 100 is configured as described above. The information processing device 100 is not only configured as a dedicated device, but may also be configured by a program, and the server device 400 or the like may be provided with a function as the information processing device 100 by executing the program. The program may be installed in the server device 400 or the like in advance, or may be distributed by download, storage medium, or the like and installed.
［１－４．情報処理装置１００による処理］
　次に図６のフローチャートを参照して情報処理装置１００による処理について説明する。ここでは、販売店の店員等が端末装置２００を用いて入力した戦略情報が予め戦略情報格納部１０１に格納され、流通・在庫情報が予め流通・在庫情報格納部１０２に格納されているものとする。また、好み情報管理部１０４により、販売店のオンラインショップで食品を購入したことがある購入者についての好み情報が生成されているものとする。さらに食品の販売価格が決定しているものとする。この販売価格は販売店の店員等が決定した販売価格でもよいし、販売価格決定部１０６が決定した販売価格でもよい。 [1-4. Processing by information processing device 100]
Next, processing by the information processing apparatus 100 will be described with reference to the flowchart of FIG. Here, it is assumed that the strategy information input by the store clerk or the like using the terminal device 200 is stored in the strategy information storage unit 101 in advance, and the distribution / inventory information is stored in the distribution / inventory information storage unit 102 in advance. do. Further, it is assumed that the preference information management unit 104 generates preference information about a purchaser who has purchased food at the online shop of the store. Furthermore, it is assumed that the selling price of food has been decided. This selling price may be a selling price determined by a clerk of a store or the like, or may be a selling price determined by the selling price determination unit 106.
　販売店がオンラインショップにおける宣伝広告、販売を行い、購入者から注文があった場合処理はステップＳ１０１からステップＳ１０２に進む（ステップＳ１０２のＹｅｓ）。 When the store advertises and sells in the online shop and there is an order from the purchaser, the process proceeds from step S101 to step S102 (Yes in step S102).
　次にステップＳ１０２で個体決定部１０９が、好み情報と、注文があった食品の食品属性情報とに基づいて、店舗の在庫の中から購入者に発送する食品の具体的な個体を決定する。発送する食品の個体が決定するとその食品個体情報が販売店の端末装置２００に送信されて、販売店がそれを参照して購入者に食品を発送する。 Next, in step S102, the individual determination unit 109 determines a specific individual of the food to be shipped to the purchaser from the inventory of the store based on the preference information and the food attribute information of the ordered food. When the individual food to be shipped is determined, the food individual information is transmitted to the terminal device 200 of the store, and the store refers to the information and ships the food to the purchaser.
　個体決定部１０９は、購入者が注文した食品について下位特定好み情報が存在する場合、それに基づいて発送する個体を決定する。購入者が注文した食品について下位特定好み情報が存在しない場合、その上位特定好み情報に基づいて発送する個体を決定する。さらに、購入者が注文した食品について上位特定好み情報がない場合、汎用好み情報に基づいて発送する個体を決定する。 The individual determination unit 109 determines an individual to be shipped based on the existence of lower specific preference information for the food ordered by the purchaser. If there is no lower specific preference information for the food ordered by the purchaser, the individual to be shipped is determined based on the upper specific preference information. Further, when there is no higher specific preference information for the food ordered by the purchaser, the individual to be shipped is determined based on the general-purpose preference information.
　例えば、購入者がりんごを注文した場合、りんごについての下位特定好み情報が存在する場合はその下位特定好み情報に合致する特徴情報を有するりんごを発送する個体として決定する。りんごについての下位特定好み情報がない場合、果物についての上位特定好み情報合致する特徴情報を有するりんごを発送する個体として決定する。りんごについての上位特定好み情報がない場合、汎用好み情報に合致する特徴情報を有するりんごを発送する個体として決定する。 For example, when a purchaser orders an apple, if there is lower specific preference information about the apple, it is determined as an individual to ship an apple having characteristic information matching the lower specific preference information. If there is no lower specific preference information for apples, it is determined as an individual to ship an apple having characteristic information that matches the upper specific preference information for fruits. If there is no higher-level specific preference information for apples, it is determined as an individual to ship an apple having characteristic information matching the general-purpose preference information.
　このように好み情報に基づいて購入者に発送する個体を決定するため、販売店は注文を行った購入者の注文する際の好みに合致した個体を購入者に発送することができる。 In this way, since the individual to be shipped to the purchaser is determined based on the preference information, the retailer can ship the individual that matches the preference of the purchaser who placed the order to the purchaser.
　購入者に対する食品の発送が完了したことが販売店から通知されると、処理はステップＳ１０３からステップＳ１０４に進む（ステップＳ１０３のＹｅｓ）。次にステップＳ１０４で、食品属性情報管理部１０８が属性情報の追跡状況を「配送中」に更新する。 When the store notifies that the food has been shipped to the purchaser, the process proceeds from step S103 to step S104 (Yes in step S103). Next, in step S104, the food attribute information management unit 108 updates the tracking status of the attribute information to "delivering".
　次にステップＳ１０５で、食品認識部１１０がカメラ３００から受信した画像に対する画像認識処理で認識した被写体および販売商品ＩＤに基づいて購入者が受け取った食品を認識する。食品認識に使用した画像データは消費過程情報として保存される。 Next, in step S105, the food recognition unit 110 recognizes the food received by the purchaser based on the subject recognized by the image recognition process for the image received from the camera 300 and the product ID for sale. The image data used for food recognition is stored as consumption process information.
　食品認識部１１０により購入者が食品を受け取ったことが確認されたため、次にステップＳ１０６で、食品属性情報管理部１０８が食品属性情報の追跡状況を「配送済み」に更新する。 Since it was confirmed by the food recognition unit 110 that the purchaser received the food, then in step S106, the food attribute information management unit 108 updates the tracking status of the food attribute information to "delivered".
　購入者が食品を消費する際の様子を撮影した画像が購入者宅のカメラ３００から送信されると、次にステップＳ１０７で消費過程情報管理部１１２が、購入者が食品を消費する際の消費過程情報を取得し、消費過程情報格納部１１１に食品個別ＩＤと対応付けて格納する。 When an image of the purchaser consuming food is transmitted from the camera 300 at the purchaser's house, the consumption process information management unit 112 in step S107 then consumes the food when the purchaser consumes the food. The process information is acquired and stored in the consumption process information storage unit 111 in association with the individual food ID.
　購入者が食品を消費する際の様子を撮影した画像から購入者が食品を消費したことが確認されたため、次にステップＳ１０８で食品属性情報管理部１０８は食品属性情報の追跡状況を「消費済」に更新する。 Since it was confirmed that the purchaser consumed the food from the image taken when the purchaser consumed the food, the food attribute information management unit 108 then in step S108, the tracking status of the food attribute information was "consumed". Update to.
　次にステップＳ１０９で、購入者スコア算出部１１３が食品属性情報と消費過程情報に基づいて購入者スコアを算出する。購入者スコアは販売価格を基準として、消費過程情報に特に問題となる結果がなければ購入者スコアは販売価格と同一とする。また、消費過程情報に購入者が販売価格に満足できない要因がある場合には購入者スコアを販売価格より低く算出する。さらに、消費過程情報に購入者が販売価格に満足する要因がある場合には販売価格より高く算出する。このようにして購入者スコアを算出する。 Next, in step S109, the purchaser score calculation unit 113 calculates the purchaser score based on the food attribute information and the consumption process information. The purchaser score is based on the selling price, and the purchaser score is the same as the selling price unless there is a particular problematic result in the consumption process information. In addition, if there is a factor in the consumption process information that the purchaser is not satisfied with the selling price, the purchaser score is calculated to be lower than the selling price. Furthermore, if there is a factor in the consumption process information that the purchaser is satisfied with the selling price, the price is calculated higher than the selling price. In this way, the purchaser score is calculated.
　購入者が販売価格に満足できない要因としては、例えば、食品に食品属性情報にない傷がある、切って露出した中身・断面が変色している、などがある。一方、購入者が販売価格に満足する要因としては、例えば食品が果物であれば熟して色づきが良い、中身に蜜が詰まっているなど一般的においしいとされる基準を満たす、などである。なお、購入者が入力するコメント、評価、購入者スコアなどの受け付けを可能とし、それらも購入者スコア算出の要因として扱ってもよい。 Factors that make the purchaser unsatisfied with the selling price include, for example, scratches on the food that are not included in the food attribute information, and discoloration of the cut and exposed contents and cross section. On the other hand, factors that make the purchaser satisfied with the selling price are, for example, that if the food is a fruit, it is ripe and has a good color, and that the food is filled with honey and that it meets the criteria that are generally considered to be delicious. It is possible to accept comments, evaluations, purchaser scores, etc. input by the purchaser, and these may also be treated as factors for calculating the purchaser score.
　次にステップＳ１１０で、購入者スコアと販売価格とが乖離している（購入者スコアと販売価格との差が所定値以上である）場合、処理はステップＳ１１１に進む（ステップＳ１１０のＹｅｓ）。そしてステップＳ１１１で、その食品の消費過程情報を購入者スコアの乖離に寄与した乖離要因として購入者スコアとともに情報処理装置１００に送信する。 Next, in step S110, if the purchaser score and the selling price deviate from each other (the difference between the purchaser score and the selling price is equal to or greater than a predetermined value), the process proceeds to step S111 (Yes in step S110). Then, in step S111, the consumption process information of the food is transmitted to the information processing apparatus 100 together with the purchaser score as a divergence factor that contributed to the divergence of the purchaser score.
　なお、購入者スコアと販売価格との乖離には、購入者スコアが販売価格よりも低い乖離（マイナスの乖離）と、購入者スコアが販売価格よりも高い乖離（プラスの乖離）がある。
マイナスの乖離はプラスの乖離は販売価格よりも購入者が食品に感じた価値の方が低い状態である。一方、プラスの乖離は販売価格よりも購入者が食品に感じた価値の方が高い状態である。 The divergence between the purchaser score and the selling price includes a divergence in which the purchaser score is lower than the selling price (negative divergence) and a divergence in which the purchaser score is higher than the selling price (positive divergence).
Negative divergence means that positive divergence means that the value that the purchaser feels about the food is lower than the selling price. On the other hand, the positive divergence is that the value that the purchaser feels about the food is higher than the selling price.
　次にステップＳ１１２で、販売価格よりも購入者スコアが低い場合、処理はステップＳ１１３に進む（ステップＳ１１２のＹｅｓ）。 Next, in step S112, if the purchaser score is lower than the selling price, the process proceeds to step S113 (Yes in step S112).
　次にステップＳ１１３で、要因推定部１１４が食品属性情報と消費過程情報に基づいて、生産者、流通業者、協同組合、販売店、購入者など食品が生産されてから購入者が消費するまでの経路におけるプラスの乖離、マイナスの乖離の要因を推定する。マイナスの乖離においてはその要因は購入者の満足度を高めるために改善すべき箇所となる。販売価格よりも購入者スコアが低い場合とは購入者が食品の品質に満足していないからである。プラスの乖離においてはその要因は購入者の満足度を高い理由であり、それが特定の購入者だけの現象なのか、あるまとまった集団において共通する現象なのかを販売店が把握することは食品の仕入れや販売戦略上メリットが高いと考えられる。 Next, in step S113, the factor estimation unit 114, based on the food attribute information and the consumption process information, from the production of the food such as the producer, the distributor, the cooperative, the store, and the purchaser to the consumption by the purchaser. Estimate the factors of positive and negative divergence in the route. In the case of negative dissociation, the factor is a point that should be improved in order to increase the satisfaction of the purchaser. When the purchaser score is lower than the selling price, the purchaser is not satisfied with the quality of the food. In the positive divergence, the reason is that the satisfaction of the purchaser is high, and it is the food that the retailer understands whether it is a phenomenon only for a specific purchaser or a phenomenon common to a certain group. It is considered that there is a high merit in terms of purchasing and sales strategy.
　要因の推定は要因用参照データベース１１５を参照とした知識ベースで行う。要因は下記のようにして推定できる。 Factor estimation is performed based on the knowledge with reference to the factor reference database 115. The factors can be estimated as follows.
　例えばマイナスの乖離においては、消費過程情報から「食品が購入者の元に到着後直ぐに鮮度が落ちる」という不満点が把握された場合で、同様の不満点が特定の配送会社と経由した食品にのみ発生する場合、それは配達時の問題である可能性が高く、配送会社に要因があると推定できる。 For example, in the case of a negative divergence, when the dissatisfaction point that "the freshness of the food drops immediately after it arrives at the purchaser" is grasped from the consumption process information, the same dissatisfaction point is given to the food via a specific delivery company. If it only occurs, it is likely a delivery problem and it can be presumed that the delivery company has a factor.
　また、同様の不満点が特定の販売店で発送した食品にのみ発生する場合、販売店における食品の保管の問題である可能性が高く、販売店に要因があると推定できる。 Also, if the same dissatisfaction occurs only with food shipped at a specific store, it is highly possible that there is a problem with food storage at the store, and it can be presumed that there is a factor in the store.
　また、同様の不満点が配送会社や販売店に関わらず特定の食品にのみ発生する場合、生産者による出荷が遅いなどの問題である可能性が高く、生産者に要因があると推定できる。 Also, if the same dissatisfaction occurs only in a specific food product regardless of the delivery company or retailer, it is highly possible that the problem is that the shipment by the producer is delayed, and it can be estimated that there is a factor in the producer.
　さらに、同様の不満点が特定の購入者にのみ発生する場合、購入者の管理が悪い可能性が高く、購入者に要因があると推定できる。 Furthermore, if the same dissatisfaction occurs only with a specific purchaser, there is a high possibility that the purchaser's management is poor, and it can be estimated that there is a factor in the purchaser.
　このように要因が推定できれば要因を有する生産者、配送会社、販売店に改善の指示を出したり、購入者にアドバイスを行なうこともできる。 If the factor can be estimated in this way, it is possible to give instructions for improvement to the producer, delivery company, and retailer who have the factor, and to give advice to the purchaser.
　例えばプラスの乖離においては、消費過程情報から「食品が購入者の元に到着後日数が経過しても鮮度が保たれる」という満足点が把握された場合で、同様の満足点が特定の生産者の食品にのみ発生する場合、それは生産方法に要因がある可能性が高く、生産者に要因があると推定できる。 For example, in the case of a positive divergence, when the satisfaction point that "the freshness is maintained even after the days after the food arrives at the purchaser" is grasped from the consumption process information, the same satisfaction point is specific. If it occurs only in the producer's food, it is likely that there is a factor in the production method, and it can be presumed that there is a factor in the producer.
　フローチャートの説明に戻る。次にステップＳ２１０で、好み情報管理部１０４は購入者スコアとスコア乖離要因である消費過程情報などに基づいて好み情報の更新を行う。 Return to the explanation of the flowchart. Next, in step S210, the preference information management unit 104 updates the preference information based on the purchaser score and the consumption process information which is a factor of the score deviation.
　好み情報の更新は最も下位概念の食品の品目についての好み情報を更新し、それをその上位概念の食品の品目に反映する。具体的には、購入者がりんごを購入した場合、りんごについての好み情報を更新し、それを上位概念の果物の好み情報に反映させ、それをさらに汎用好み情報にも反映させる。このように好み情報を更新することにより、例えばりんごしか購入していない購入者がみかんを購入する際に果物についての上位特定好み情報をもとに個体決定部１０９が購入者に発送する個体を決定することができる。 Update of preference information updates preference information for food items of the lowest concept and reflects it in food items of the higher concept. Specifically, when the purchaser purchases an apple, the preference information about the apple is updated, reflected in the fruit preference information of the superordinate concept, and further reflected in the general-purpose preference information. By updating the preference information in this way, for example, when a purchaser who purchases only apples purchases oranges, the individual determination unit 109 sends the individual to the purchaser based on the upper specific preference information about the fruit. Can be decided.
　好み情報の更新は好み情報格納部１０３を参照した知識ベースとポイントを基準として行われる。例えば以下のようにして好み情報を更新できる。 The preference information is updated based on the knowledge base and points referring to the preference information storage unit 103. For example, the preference information can be updated as follows.
　上述したように好み情報には、食品を販売価格で選ぶ低価格志向と高価格志向、食品を産地で選ぶ産地志向、食品を品種で選ぶ品種志向、食品を鮮度で選ぶ鮮度志向、食品を見た目で選ぶ外観志向などがある。各志向にはポイント（例えば０～３００などの数値）があり、スコア乖離要因としての食品属性情報と消費過程情報に基づいてこのポイントを増減させ、ポイントの値に基づいて購入者の好み情報を更新する。 As mentioned above, the preference information includes low-price-oriented and high-price-oriented foods selected by selling price, production area-oriented foods selected by production area, variety-oriented foods selected by variety, freshness-oriented foods selected by freshness, and food appearance. There is an appearance orientation to choose with. Each orientation has points (for example, numerical values such as 0 to 300), and these points are increased or decreased based on food attribute information and consumption process information as score deviation factors, and the purchaser's preference information is based on the point value. Update.
　例えば、下位特定好み情報として特定の食品について、スコア乖離要因としての食品属性情報と消費過程情報が「外観が悪いが販売価格が安い」というものである場合、その特定の食品についての低価格志向のポイントを増加させ、外観志向のポイントを減少させる。逆にスコア乖離要因としての食品属性情報と消費過程情報が「価格が高くなってもキズものは受け入れない」というものである場合、低価格志向のポイントを減少させ、外観志向のポイントを増加させる。 For example, if the food attribute information and the consumption process information as the score divergence factor for a specific food as the lower specific preference information are "the appearance is bad but the selling price is low", the price is low for the specific food. Increase the number of points and decrease the number of appearance-oriented points. On the contrary, if the food attribute information and consumption process information as the factors of score deviation are "I do not accept scratches even if the price rises", the points for low price orientation are reduced and the points for appearance orientation are increased. ..
　また、例えば、下位特定好み情報として特定の食品について、スコア乖離要因としての食品属性情報と消費過程情報が「販売価格が安い」、「賞味期限間近」、「購入後即消費した」というものである場合、特定の食品についての低価格志向のポイントを増加させ、鮮度志向のポイントを減少させる。逆にスコア乖離要因としての食品属性情報と消費過程情報が「価格が高くても消費期限が長い食品しか受け入れない」というものである場合、低価格志向のポイントを減少させ、鮮度志向のポイントを増加させる。 In addition, for example, for specific foods as lower-level specific preference information, food attribute information and consumption process information as score deviation factors are "low selling price", "close to expiration date", and "consumed immediately after purchase". In some cases, it increases the low price-oriented points for a particular food and decreases the freshness-oriented points. On the contrary, if the food attribute information and consumption process information as factors of score divergence are that "only foods with a long expiration date are accepted even if the price is high", the points for low price orientation are reduced and the points for freshness orientation are reduced. increase.
　また、例えば、下位特定好み情報として特定の食品について、スコア乖離要因としての食品属性情報と消費過程情報が「販売価格が安い代わりに外国産も受け入れる」というものである場合、特定の食品についての低価格志向のポイントを増加させ、産地志向のポイントを減少させる。逆に、スコア乖離要因としての食品属性情報と消費過程情報が「販売価格が高くても国産しか受け入れない」というものである場合、低価格志向のポイントを減少させ、産地志向のポイントを増加させる。 In addition, for example, when the food attribute information and the consumption process information as the score divergence factor are "accept foreign products instead of the low selling price" for the specific food as the lower specific preference information, the specific food. Increase low-price-oriented points and decrease production-oriented points. On the contrary, if the food attribute information and consumption process information as the factors of score deviation are "only domestic products are accepted even if the selling price is high", the points of low price orientation are reduced and the points of production area orientation are increased. ..
　さらに、例えば、下位特定好み情報として特定の食品について、スコア乖離要因としての食品属性情報と消費過程情報が「販売価格が安い食品を選ぶ無名ブランドも受け入れる」というものである場合、特定の食品についての低価格志向のポイントを増加させ、産地志向のポイントを減少させる。逆にスコア乖離要因としての食品属性情報と消費過程情報が「販売価格が高くてもナショナルブランドしか受け入れない」というものである場合、低価格志向のポイントを減少させ、産地志向のポイントを増加させる。 Further, for example, when the food attribute information and the consumption process information as the score divergence factor are "accepting an unnamed brand that selects a food with a low selling price" for a specific food as a lower specific preference information, the specific food Increase the points of low price orientation and decrease the points of production area orientation. On the contrary, if the food attribute information and consumption process information as factors of score deviation are "only accept national brands even if the selling price is high", the points for low price orientation are reduced and the points for production area orientation are increased. ..
　そして、最もポイントが高い志向をその特定の食品について志向として好み情報を更新する。例えば、特定の食品がりんごであり、りんごについて上述のように各志向についてポイント算出を行った結果、産地志向のポイントが最も高くなった場合、りんごについては産地志向であるとして好み情報が更新される。さらに、例えばその後、上述のように各志向についてポイント算出を行った結果、低価格志向のポイントが最も高くなった場合、りんごについては低価格志向であるとして好み情報が更新される。 Then, the preference information is updated with the orientation with the highest point as the orientation for that specific food. For example, if a specific food is an apple and the point calculation for each orientation of the apple is the highest, the preference information is updated as the apple is oriented toward the production area. Apple. Further, for example, after that, when the points for each orientation are calculated as described above and the points for the low price orientation are the highest, the preference information is updated as the apples are for the low price orientation.
　なお、各志向は当然異なるものであるため、志向をポイントで直接比較するのではなく、志向ごとの基準でポイントに応じたランク（例えば、高い方から順にＡ、Ｂ、Ｃの３段階など）を定め、そのランクに基づいて各志向を比較して好み情報を更新するようにしてもよい。例えば、価格志向は２００ポイント以上でランクＢとし、産地志向は５０ポイント以上でランクＡとする場合、ポイントで判断すると価格志向だがランクで判断すると産地志向であるため、好み情報は産地志向とする、などである。 Since each orientation is naturally different, instead of directly comparing the orientations by points, the ranks according to the points are based on the criteria for each orientation (for example, 3 levels of A, B, and C in order from the highest). It is also possible to set and update the preference information by comparing each intention based on the rank. For example, if the price orientation is 200 points or more and rank B, and the production area orientation is 50 points or more and rank A, the preference information is production area oriented because it is price oriented when judged by points but production area oriented when judged by rank. , And so on.
　購入者が消費期限間近の販売価格が安い食品を購入し、受け取り後すぐに消費した場合、販売価格志向が高く、鮮度志向は低くするように好み情報を更新する。また、購入者が外観が悪いため販売価格が安い食品を購入した場合、外観志向を低く、鮮度志向も低くするように好み情報を更新する。 If the purchaser purchases a food with a low selling price near the expiration date and consumes it immediately after receiving it, the preference information is updated so that the selling price orientation is high and the freshness orientation is low. In addition, when the purchaser purchases a food product having a poor appearance and a low selling price, the preference information is updated so that the appearance orientation is low and the freshness orientation is also low.
　なお、販売価格決定部１０６は流通要因が推定された場合や好み情報が更新された場合にその都度食品の販売価格を決定してもよいし、流通要因の推定や好み情報の更新に関わらず、所定のタイミングで販売価格を決定してもよい。 The selling price determination unit 106 may determine the selling price of the food each time the distribution factor is estimated or the preference information is updated, regardless of the estimation of the distribution factor or the update of the preference information. , The selling price may be determined at a predetermined timing.
　以上のようにして本技術における処理が行われる。本技術によれば、購入者が食品を消費する際の情報である消費過程情報を管理することにより、購入者に発送した食品の状態や購入者が食品を消費する際の反応などを把握することができる。これにより、購入者の食品に対する好みを把握して、購入者の食品の好みに応じた個体を選択して発送することができるので購入者の食品購入における満足度を高めることができる。よって、オンラインショップにおける食品の販売において購入者が食品を直接見たり触ったりできないために購入者が満足できない食品が購入者の元に届いてしまうという問題を解決することができる。 The processing in this technology is performed as described above. According to this technology, by managing consumption process information, which is information when a purchaser consumes food, the state of the food sent to the purchaser and the reaction when the purchaser consumes the food can be grasped. be able to. As a result, it is possible to grasp the purchaser's preference for food and select and ship an individual according to the purchaser's food preference, so that the purchaser's satisfaction with food purchase can be enhanced. Therefore, it is possible to solve the problem that the food that the purchaser is not satisfied with is delivered to the purchaser because the purchaser cannot directly see or touch the food in the sale of the food in the online shop.
　また、発送した食品の個体と購入者が受け取った個体とを対応付け、食品の状態や購入者の反応などに基づいて生産から発送、消費までの流通経路で要因を推定できるため、購入者の満足度を高めることができる。また、食品には同じ品目でも個体差があるが、購入を繰り返し、購入者の食品の好みに応じた個体を選択して発送することができるので購入者の満足度を高めることができる。 In addition, the individual of the shipped food and the individual received by the purchaser can be associated with each other, and the factor can be estimated in the distribution route from production to shipping and consumption based on the condition of the food and the reaction of the purchaser. Satisfaction can be increased. In addition, although there are individual differences in the same item of food, it is possible to repeat the purchase and select and ship the individual according to the taste of the food of the purchaser, so that the satisfaction of the purchaser can be enhanced.
　購入者の好みや食品属性情報に基づいて食品の販売価格を決定するため、販売店はより適正な販売価格で食品を販売することができる。 Since the selling price of food is determined based on the taste of the purchaser and the food attribute information, the retailer can sell the food at a more appropriate selling price.
　さらに、購入者側においてはカメラで撮影した画像を自動で情報処理装置に送信するだけなので購入者の手を煩わせたり、負担をかけることがなく、購入者は本技術のために何もする必要もなく、何も意識する必要もない。 Furthermore, since the purchaser only automatically sends the image taken by the camera to the information processing device, the purchaser does nothing for this technology without bothering or burdening the purchaser. You don't have to be aware of anything.
　なお、本技術は、食品の中でも特に生鮮食品の販売において有用である。なぜなら生鮮食品は個体一つ一つの状態や特徴が全て異なっているため、どの個体を選んで購入するかが加工食品などの他の食品によりも重要だからである。 This technology is particularly useful in the sale of fresh foods among foods. This is because fresh foods have different conditions and characteristics, so it is more important to select and purchase which individual than other foods such as processed foods.
＜２．変形例＞
　以上、本技術の実施の形態について具体的に説明したが、本技術は上述の実施の形態に限定されるものではなく、本技術の技術的思想に基づく各種の変形が可能である。 <2. Modification example>
Although the embodiment of the present technology has been specifically described above, the present technology is not limited to the above-described embodiment, and various modifications based on the technical idea of the present technology are possible.
　実施の形態では購入者がオンラインショップで注文した食品に基づいて好み情報を生成、更新したが、購入者が実店舗で購入した食品に基づいて好み情報を生成、更新することも可能である。その場合も、オンラインショップで購入した食品と同様に、購入者が実店舗で購入した食品を消費する際の様子をカメラ３００で撮影した画像に基づいて消費過程情報を生成、更新する。購入者は実店舗で購入した食品とオンラインショップで購入した食品を意識することなく消費すればいいだけであるので、購入者に負担をかけることはない。実店舗で購入した食品は販売商品ＩＤを認識することによりオンラインショップと同系列の実店舗で購入した食品であることを確認できる。 In the embodiment, the preference information is generated and updated based on the food ordered by the purchaser in the online shop, but it is also possible to generate and update the preference information based on the food purchased by the purchaser in the actual store. In that case as well, the consumption process information is generated and updated based on the image taken by the camera 300 of the state when the purchaser consumes the food purchased at the actual store, as in the case of the food purchased at the online shop. Since the purchaser only has to consume the food purchased at the physical store and the food purchased at the online shop without being aware of it, the purchaser is not burdened. By recognizing the product ID for sale, it can be confirmed that the food purchased at the physical store is the food purchased at the physical store of the same series as the online shop.
　実施の形態ではカメラ３００が自動で画像を情報処理装置１００に送信していたが、購入者がスマートフォンやタブレット端末などで撮影した食品の画像を購入者の操作で情報処理装置１００に送信するようにしてもよい。 In the embodiment, the camera 300 automatically transmits the image to the information processing device 100, but the purchaser operates the information processing device 100 to transmit the image of the food taken by the purchaser with a smartphone, a tablet terminal, or the like. You may do it.
　実施の形態では食品を購入して消費する購入者を例にして説明を行ったが、食品を購入する者はその者自らが食品を消費する者だけでなく、購入した食品を確認して販売するスーパーなどの販売業者、飲食店の店員など購入した食品を調理加工して客に食事を提供する飲食業者などでもよい。購入者が販売業者である場合、購入者が食品を確認等し、カメラ３００が設置されるのは販売店であり、購入者が飲食業者である場合、購入者が食品を調理加工し、カメラ３００が設置されるのは飲食店の厨房などである。 In the embodiment, the explanation is given by taking as an example a purchaser who purchases and consumes food, but the person who purchases food confirms and sells not only the person who consumes the food but also the purchased food. It may be a distributor such as a supermarket, a restaurant clerk, or a restaurant that cooks and processes purchased food and provides meals to customers. If the purchaser is a seller, the purchaser checks the food, etc., and the camera 300 is installed at the store. If the purchaser is a restaurant, the purchaser cooks and processes the food, and the camera is installed. The 300 is installed in the kitchen of a restaurant.
　消費過程情報を取得するために、カメラ３００に代えてまたは併用して音声を取得するマイクロホンや、購入者の体温を計測する温度センサなどを用いてもよい。カメラ３００に限らず、購入者の食品に対するフィードバック情報、食品の状態情報を取得できるものであればどのようなものを用いてもよい。 In order to acquire consumption process information, a microphone that acquires voice in place of or in combination with the camera 300, a temperature sensor that measures the body temperature of the purchaser, or the like may be used. Not limited to the camera 300, any camera may be used as long as it can acquire feedback information on the food of the purchaser and information on the state of the food.
　本技術で用いる各種ＩＤ、個人情報、消費過程情報、属性情報などの管理にブロックチェーン技術を用いることもできる。ブロックチェーンは分散型台帳技術とも称され、ブロックチェーンシステム上における全てのデータの送受信が履歴として保存される。これにより、ブロックチェーンシステムで接続された装置を使用する全てのユーザおよびコンテンツ監視サーバを提供する事業者はブロックチェーン上における全てのデータの送受信の履歴を確認することができるとともに、送受信されたデータのトレース（追跡）を行うこともできる。 Blockchain technology can also be used to manage various IDs, personal information, consumption process information, attribute information, etc. used in this technology. Blockchain is also called distributed ledger technology, and all data transmission and reception on the blockchain system is saved as a history. As a result, all users who use the devices connected by the blockchain system and the business operator who provides the content monitoring server can check the transmission / reception history of all the data on the blockchain, and the transmitted / received data can be confirmed. You can also trace the data.
　本技術は以下のような構成も取ることができる。
（１）
　販売店がネットワークを介して注文を受けて購入者に発送した食品を前記購入者が消費する際の情報である消費過程情報をセンサ情報から取得して管理する消費過程情報管理部
を備える情報処理装置。
（２）
　前記消費過程情報は、前記センサ情報としての、前記購入者が前記食品を消費する際の様子を撮影した画像および／または映像から取得される（１）に記載の情報処理装置。
（３）
　前記消費過程情報は、前記購入者が前記食品を消費した際の反応を含むフィードバック情報である（１）または（２）に記載の情報処理装置。
（４）
　前記消費過程情報は、前記食品の状態を示す情報である（１）から（３）のいずれかに記載の情報処理装置。
（５）
　前記食品の属性を示す食品属性情報を管理する食品属性情報管理部を備える（１）から（４）のいずれかに記載の情報処理装置。
（６）
　前記食品属性情報管理部は、前記センサ情報に基づいて前記販売店が前記購入者に発送した前記食品の追跡状況を把握する（５）に記載の情報処理装置。
（７）
　前記購入者が前記食品を注文する際の好みを示す好み情報を管理する好み情報管理部を備える（１）から（５）に記載の情報処理装置。
（８）
　前記好み情報は、汎用好み情報と特定好み情報とを有する（７）に記載の情報処理装置。
（９）
　前記汎用好み情報は、前記食品の種類を限定しない前記購入者の食品選択の際の好みを示す情報である（８）に記載の情報処理装置。
（１０）
　前記特定好み情報は、特定の食品について前記購入者の食品選択の際の好みを示す情報である（８）または（９）に記載の情報処理装置。
（１１）
　前記好み情報は、該好み情報を生成するために参照した前記消費過程情報の量に基づく信頼の度合いを示す信頼度が紐付けられている（７）から（１０）のいずれかに記載の情報処理装置。
（１２）
　前記好み情報と、前記食品属性情報とに基づいて前記販売店が前記購入者に発送する食品の具体的個体を決定する個体決定部を備える（７）から（１１）のいずれかに記載の情報処理装置。
（１３）
　前記食品の販売価格と前記消費過程情報とに基づいて前記食品についての購入者スコアを算出する購入者スコア算出部を備える（１）から（１２）のいずれかに記載の情報処理装置。
（１４）
　前記好み情報管理部は、前記購入者スコアと前記消費過程情報に基づいて前記好み情報を更新する（１３）に記載の情報処理装置。
（１５）
　前記消費過程情報に基づいて前記食品の流通における要因を推定する要因推定部を備える（１）から（１４）のいずれかに記載の情報処理装置。
（１６）
　前記食品の在庫情報と、販売価格設定戦略情報と、前記好み情報に基づいて前記販売価格を決定する販売価格決定部を備える（７）に記載の情報処理装置。
（１７）
　前記食品は生鮮食品である（７）から（１６）のいずれかに記載の情報処理装置。
（１８）
　販売店がネットワークを介して注文を受けて購入者に発送した食品を前記購入者が消費する際の情報である消費過程情報をセンサ情報から取得して管理する情報処理方法。
（１９）
　販売店がネットワークを介して注文を受けて購入者に発送した食品を前記購入者が消費する際の情報である消費過程情報をセンサ情報から取得して管理する情報処理方法をコンピュータに実行させる情報処理プログラム。 This technology can also take the following configurations.
(1)
Information processing provided with a consumption process information management unit that acquires and manages consumption process information, which is information when the purchaser consumes food that the retailer receives an order via a network and ships to the purchaser. Device.
(2)
The information processing apparatus according to (1), wherein the consumption process information is acquired from an image and / or a video of the purchaser consuming the food as the sensor information.
(3)
The information processing apparatus according to (1) or (2), wherein the consumption process information is feedback information including a reaction when the purchaser consumes the food.
(4)
The information processing apparatus according to any one of (1) to (3), wherein the consumption process information is information indicating the state of the food.
(5)
The information processing apparatus according to any one of (1) to (4), comprising a food attribute information management unit that manages food attribute information indicating the food attribute.
(6)
The information processing device according to (5), wherein the food attribute information management unit grasps the tracking status of the food sent by the store to the purchaser based on the sensor information.
(7)
The information processing apparatus according to (1) to (5), comprising a preference information management unit that manages preference information indicating preferences when the purchaser orders the food.
(8)
The information processing apparatus according to (7), wherein the preference information has general-purpose preference information and specific preference information.
(9)
The information processing device according to (8), wherein the general-purpose preference information is information indicating the preference of the purchaser at the time of food selection without limiting the type of the food.
(10)
The information processing device according to (8) or (9), wherein the specific preference information is information indicating the purchaser's preference for food selection for a specific food.
(11)
The information according to any one of (7) to (10), wherein the preference information is associated with a reliability indicating the degree of reliability based on the amount of the consumption process information referred to for generating the preference information. Processing equipment.
(12)
The information according to any one of (7) to (11), comprising an individual determination unit for determining a specific individual of the food to be shipped to the purchaser by the store based on the preference information and the food attribute information. Processing equipment.
(13)
The information processing apparatus according to any one of (1) to (12), comprising a purchaser score calculation unit for calculating a purchaser score for the food based on the selling price of the food and the consumption process information.
(14)
The information processing device according to (13), wherein the preference information management unit updates the preference information based on the purchaser score and the consumption process information.
(15)
The information processing apparatus according to any one of (1) to (14), comprising a factor estimation unit for estimating a factor in the distribution of the food based on the consumption process information.
(16)
The information processing apparatus according to (7), further comprising a selling price determining unit that determines the selling price based on the food inventory information, the selling price setting strategy information, and the preference information.
(17)
The information processing apparatus according to any one of (7) to (16), wherein the food is fresh food.
(18)
An information processing method that acquires and manages consumption process information, which is information when the purchaser consumes food that the store receives an order via a network and ships to the purchaser.
(19)
Information that causes a computer to execute an information processing method that acquires and manages consumption process information, which is information when the purchaser consumes the food that the retailer receives an order via the network and ships to the purchaser. Processing program.
１００・・・情報処理装置
１０４・・・好み情報管理部
１０６・・・販売価格決定部
１０７・・・食品属性情報管理部
１０９・・・個体決定部
１１２・・・消費過程情報管理部
１１３・・・購入者スコア算出部
１１４・・・要因推定部 100 ... Information processing device 104 ... Preference information management unit 106 ... Sales price determination unit 107 ... Food attribute information management unit 109 ... Individual determination unit 112 ... Consumption process information management unit 113.・ ・ Purchaser score calculation unit 114 ・ ・ ・ Factor estimation unit

Claims (19)

  1. 　販売店がネットワークを介して注文を受けて購入者に発送した食品を前記購入者が消費する際の情報である消費過程情報をセンサ情報から取得して管理する消費過程情報管理部
    を備える
    情報処理装置。     Information processing provided with a consumption process information management unit that acquires and manages consumption process information, which is information when the purchaser consumes food that the retailer receives an order via a network and ships to the purchaser. Device.
  2. 　前記消費過程情報は、前記センサ情報としての、前記購入者が前記食品を消費する際の様子を撮影した画像および／または映像から取得される
    請求項１に記載の情報処理装置。     The information processing device according to claim 1, wherein the consumption process information is obtained from an image and / or a video of the purchaser consuming the food as the sensor information.
  3. 　前記消費過程情報は、前記購入者が前記食品を消費した際の反応を含むフィードバック情報である
    請求項１に記載の情報処理装置。     The information processing device according to claim 1, wherein the consumption process information is feedback information including a reaction when the purchaser consumes the food.
  4. 　前記消費過程情報は、前記食品の状態を示す情報である
    請求項１に記載の情報処理装置。     The information processing device according to claim 1, wherein the consumption process information is information indicating the state of the food.
  5. 　前記食品の属性を示す食品属性情報を管理する食品属性情報管理部を備える
    請求項１に記載の情報処理装置。     The information processing apparatus according to claim 1, further comprising a food attribute information management unit that manages food attribute information indicating the food attributes.
  6. 　前記食品属性情報管理部は、前記センサ情報に基づいて前記販売店が前記購入者に発送した前記食品の追跡状況を把握する
    請求項５に記載の情報処理装置。     The information processing device according to claim 5, wherein the food attribute information management unit grasps the tracking status of the food delivered by the store to the purchaser based on the sensor information.
  7. 　前記購入者が前記食品を注文する際の好みを示す好み情報を管理する好み情報管理部を備える
    請求項１に記載の情報処理装置。     The information processing device according to claim 1, further comprising a preference information management unit that manages preference information indicating preferences when the purchaser orders the food.
  8. 　前記好み情報は、汎用好み情報と特定好み情報とを有する
    請求項７に記載の情報処理装置。     The information processing device according to claim 7, wherein the preference information has general-purpose preference information and specific preference information.
  9. 　前記汎用好み情報は、前記食品の種類を限定しない前記購入者の食品選択の際の好みを示す情報である
    請求項８に記載の情報処理装置。     The information processing device according to claim 8, wherein the general-purpose preference information is information indicating the purchaser's preference for food selection without limiting the type of the food.
  10. 　前記特定好み情報は、特定の食品について前記購入者の食品選択の際の好みを示す情報である
    請求項８に記載の情報処理装置。     The information processing device according to claim 8, wherein the specific preference information is information indicating the purchaser's preference for food selection for a specific food.
  11. 　前記好み情報は、該好み情報を生成するために参照した前記消費過程情報の量に基づく信頼の度合いを示す信頼度が紐付けられている
    請求項７に記載の情報処理装置。     The information processing apparatus according to claim 7, wherein the preference information is associated with a reliability indicating a degree of reliability based on the amount of the consumption process information referred to for generating the preference information.
  12. 　前記好み情報と、前記食品属性情報とに基づいて前記販売店が前記購入者に発送する食品の具体的個体を決定する個体決定部を備える
    請求項７に記載の情報処理装置。     The information processing apparatus according to claim 7, further comprising an individual determination unit that determines a specific individual of the food to be shipped to the purchaser by the store based on the preference information and the food attribute information.
  13. 　前記食品の販売価格と前記消費過程情報とに基づいて前記食品についての購入者スコアを算出する購入者スコア算出部を備える
    請求項１に記載の情報処理装置。     The information processing apparatus according to claim 1, further comprising a purchaser score calculation unit that calculates a purchaser score for the food based on the selling price of the food and the consumption process information.
  14. 　前記好み情報管理部は、前記購入者スコアと前記消費過程情報に基づいて前記好み情報を更新する
    請求項１３に記載の情報処理装置。     The information processing device according to claim 13, wherein the preference information management unit updates the preference information based on the purchaser score and the consumption process information.
  15. 　前記消費過程情報に基づいて前記食品の流通における要因を推定する要因推定部を備える
    請求項１に記載の情報処理装置。     The information processing apparatus according to claim 1, further comprising a factor estimation unit that estimates factors in the distribution of the food based on the consumption process information.
  16. 　前記食品の在庫情報と、販売価格設定戦略情報と、前記好み情報に基づいて前記販売価格を決定する販売価格決定部を備える
    請求項７に記載の情報処理装置。     The information processing apparatus according to claim 7, further comprising a selling price determining unit that determines the selling price based on the food inventory information, the selling price setting strategy information, and the preference information.
  17. 　前記食品は生鮮食品である
    請求項１に記載の情報処理装置。     The information processing device according to claim 1, wherein the food is fresh food.
  18. 　販売店がネットワークを介して注文を受けて購入者に発送した食品を前記購入者が消費する際の情報である消費過程情報をセンサ情報から取得して管理する
    情報処理方法。     An information processing method that acquires and manages consumption process information, which is information when the purchaser consumes food that the store receives an order via a network and ships to the purchaser.
  19. 　販売店がネットワークを介して注文を受けて購入者に発送した食品を前記購入者が消費する際の情報である消費過程情報をセンサ情報から取得して管理する
    情報処理方法をコンピュータに実行させる情報処理プログラム。     Information that causes a computer to execute an information processing method that acquires and manages consumption process information, which is information when the purchaser consumes the food that the retailer receives an order via the network and ships to the purchaser. Processing program.
PCT/JP2021/017613 2020-06-29 2021-05-10 Information processing device, information processing method, and information processing program WO2022004128A1 (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009104661A (en) * 2000-05-19 2009-05-14 Eflora:Kk Server device
JP2012048458A (en) * 2010-08-26 2012-03-08 Matsumura Yoran Kk Flower and ornamental plant sales system and sales method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009104661A (en) * 2000-05-19 2009-05-14 Eflora:Kk Server device
JP2012048458A (en) * 2010-08-26 2012-03-08 Matsumura Yoran Kk Flower and ornamental plant sales system and sales method

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