WO2015172583A1 - 一种数据处理***及方法 - Google Patents

一种数据处理***及方法 Download PDF

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Publication number
WO2015172583A1
WO2015172583A1 PCT/CN2015/071644 CN2015071644W WO2015172583A1 WO 2015172583 A1 WO2015172583 A1 WO 2015172583A1 CN 2015071644 W CN2015071644 W CN 2015071644W WO 2015172583 A1 WO2015172583 A1 WO 2015172583A1
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Prior art keywords
information
data processing
processing device
address
commodity
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PCT/CN2015/071644
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English (en)
French (fr)
Inventor
张慧敏
黄康敏
霍大伟
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华为技术有限公司
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Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Publication of WO2015172583A1 publication Critical patent/WO2015172583A1/zh
Priority to US15/351,737 priority Critical patent/US10636008B2/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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • 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
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0202—Market predictions or forecasting for commercial activities

Definitions

  • the present invention relates to the field of data processing, and in particular, to a data processing system and method.
  • online shopping has become one of the common shopping methods for users. Compared with physical store shopping, online shopping allows buyers to “shop” at home, ordering is not limited by time and place; obtaining a large amount of product information, buying more Goods in the area; from ordering, buying goods to goods, you don't have to visit the site to save time and effort.
  • Online shopping is to retrieve product information through the Internet, and send a shopping request through an electronic order form, and then fill in the personal check account number or credit card number, the manufacturer sends the goods by mail order, or delivers the goods through the courier company.
  • the commonly used online shopping method is: the buyer places an electronic order, and then the seller mails or delivers the goods purchased by the buyer to the buyer according to the order.
  • the buyer Usually, after a buyer orders an item, he or she needs to wait for the goods to be mailed, and the buyer cannot get the goods immediately after purchase.
  • the buyer waits for the arrival time of the goods by expedited transportation, the buyer needs to pay an additional fee and still needs to wait for the delivery time of the goods.
  • the present invention provides a data processing system and method.
  • the method and apparatus provided by the present invention solve the problems that the online shopping processing method in the prior art causes the article to circulate for a long time, thereby causing poor user experience.
  • a data processing system including first data for generating commodity delivery information The processing device, the second data processing device for providing the commodity delivery information to the commodity delivery personnel, comprising:
  • the first data processing device is configured to determine, according to historical information of the user, a plurality of target users that may purchase a specific product; acquire a plurality of address information corresponding to the plurality of target users, and obtain the plurality of address information Combining to form a commodity delivery information is sent to the second data processing device;
  • the second data processing device is configured to receive the commodity delivery information and process the commodity delivery information, so that the commodity delivery personnel according to one or more of the plurality of address information included in the commodity delivery information
  • the specific item is dispatched to at least one of the plurality of target users.
  • the first data processing device is further configured to determine, in the set geographic area, a plurality of users who may purchase the specific product as the target user.
  • the first data processing device is further configured to determine that the specified product is potentially purchased within the set geographic area Whether the number of users is greater than a first threshold, and if so, determining a plurality of users within the set geographic area that are likely to purchase the particular item as the target user.
  • the first data processing device is specifically configured to use the historical information One or more combinations of user transaction data information, commodity logistics data information, environmental data information, and user social data information in the determination of a plurality of target users who are likely to purchase a particular product.
  • the first data processing device is further configured to use the preset parameter Set the delivery order of multiple address information obtained.
  • the first data processing device is specifically configured to: obtain a distance parameter according to a target user and a location of the specific item , the importance parameter of the target user, and the target user's demand for the specific product
  • the combination of one or more of the urgency parameters sets the order in which the acquired plurality of address information is delivered.
  • the first data processing device when the commodity is sent to the one of the plurality of address information
  • the first data processing device is further configured to receive feedback information sent by the second data processing device for the specific item delivery situation, and push the specific product to the second data processing device according to the feedback information. Add information.
  • the first data processing device is further configured to set, according to the feedback information, the specific information for the specific product Discount information and incentive information.
  • the first data processing The device receives the subscription information of the subscription user, and the first data processing device is further configured to determine, according to the subscription information, whether the distance between the geographic location of the subscription user and the current location of the specific commodity is less than a second threshold. If yes, generating a first adjustment instruction according to the address of the subscription user, and sending a first adjustment instruction to the second data processing device;
  • the second data processing device is further configured to process the first adjustment instruction, so that the commodity delivery personnel sends the specific commodity from the current location to the address of the subscription user according to the first adjustment instruction. Corresponding geographical location.
  • the first data processing device is further configured to deliver the product Add a default address to the message, then
  • the first data processing device is further configured to determine a destination address of the specific item in the plurality of pieces of address information, and determine a store address of the specific item that can be sold according to the target address, and set the default Updating the address to the store address, and sending a second adjustment instruction to the second data processing device;
  • the second data processing device is further configured to process the second adjustment instruction, so that the The merchandiser dispatching the specific merchandise to the store corresponding to the store address according to the second adjustment instruction.
  • the first data processing device is further configured to utilize a weighting calculation and/or Or the similarity calculation method calculates the historical information of the user to determine a plurality of target users who are likely to purchase a specific item.
  • a data processing method is provided, the method being applied to a data processing system, the data processing system including a first data processing device that generates commodity delivery information, and second data that provides the commodity delivery information for a commodity delivery personnel Processing equipment, including:
  • the first data processing device transmits the commodity delivery information to the commodity delivery personnel to provide the commodity delivery information, so that the second data processing device processes the commodity delivery information, and the commodity delivery personnel can according to the second One or more of the plurality of address information included in the commodity delivery information processed by the data processing device dispatches the specific commodity to at least one of the plurality of target users.
  • the determining, according to the historical information of the user, the multiple target users that may purchase a specific product include:
  • the plurality of users are determined to be the target users.
  • the method before the determining the multiple users as the target user, the method further includes:
  • the historical information includes user transaction data information, commodity logistics data information, One or more combinations of environmental data information and user's social data information.
  • the combining the multiple address information to form a product delivery Information includes:
  • the first data processing device sets a delivery order of the plurality of acquired address information according to the preset parameter
  • the sending sequence of the multiple address information that is acquired by the first data processing device according to the preset parameter setting includes:
  • the first data processing device according to one or more of a distance parameter of the target user receiving location and the specific commodity origination distance, a target user's importance degree parameter, and a target user's urgency parameter for the specific product demand
  • the combination of the plurality sets the order of delivery of the plurality of address information.
  • the method when the commodity is sent to the one of the plurality of address information After the address, the method further includes:
  • the first data processing device receives the feedback information sent by the second data processing device for the specific item delivery situation, and pushes the new information of the specific item to the second data processing device according to the feedback information.
  • the first data processing device sets, according to the feedback information, discount information for the specific product in the added information. And incentive information.
  • the combining the plurality of address information to form a product After the sending information is sent to the second data processing device, the method further includes:
  • the first data processing device when the first data processing device receives subscription information of a subscription user, determining, according to the subscription information, whether the distance between the geographic location of the subscription user and the current location of the specific product is Is less than the second threshold, if yes, generating a first adjustment instruction according to the address of the subscription user, and transmitting a first adjustment instruction to the second data processing device; causing the commodity delivery personnel to be according to the first adjustment instruction
  • the particular item is dispatched from the current location to a geographic location corresponding to the address of the subscriber.
  • the method further includes:
  • the determining, according to the historical information of the user, determining that the specific product is likely to be purchased Multiple target users include:
  • the first data processing device calculates the historical information of the user by using a weighting calculation and/or a similarity calculation method to determine a plurality of target users who are likely to purchase a specific item.
  • a data processing apparatus In a third aspect, a data processing apparatus is provided, the data processing apparatus generating merchandise dispatch information, and the data processing apparatus can exchange data with a second data processing apparatus, the second data processing apparatus providing the merchandise to a merchandiser To deliver information, the data processing device includes:
  • a target determining unit configured to determine, according to historical information of the user, a plurality of target users who may purchase a specific product
  • a dispatching information generating unit configured to acquire a plurality of address information corresponding to the plurality of target users, and combine the plurality of address information to form a commodity dispatching information
  • a sending unit configured to send the commodity delivery information to the commodity delivery personnel to provide the commodity delivery information, so that the second data processing device processes the commodity delivery information, and the commodity delivery personnel can process according to the second data
  • One or more of the plurality of address information included in the product delivery information processed by the device transmits the specific product to at least one of the plurality of target users.
  • the target determining unit is further configured to determine whether a number of users in the set geographic area that are likely to purchase the specific item is greater than a first threshold, and if so, And determining, in the set geographic area, a plurality of users who may purchase the specific commodity as the target user.
  • the dispatching information generating unit is further configured to set a sending order of the plurality of obtained address information according to the preset parameter.
  • the data processing device further includes:
  • the first adjusting unit is configured to receive feedback information sent by the second data processing device for the specific item delivery situation, and push the new information of the specific item to the second data processing device according to the feedback information.
  • the data processing device further includes:
  • a second adjusting unit configured to determine, before the sending of the plurality of address information to form a commodity delivery information, to the second data processing device, determine a destination address of the specific product, and finally send the target address of the specific commodity, and Determining, according to the target address, a store address at which the specific commodity can be sold, updating the default address to the store address, and transmitting a second adjustment instruction to the second data processing device; causing the commodity delivery personnel The specific commodity is dispatched to a store corresponding to the store address according to the second adjustment instruction.
  • a plurality of users of a certain product that may need to be purchased are predicted by the historical data of the user, and the predicted product is packaged before the user places an order. And sent to multiple users, thereby reducing the time users wait for goods to arrive.
  • FIG. 1 is a schematic structural diagram of a data processing system according to Embodiment 1 of the present invention.
  • FIG. 1A is a schematic structural diagram of an optional data processing system in an actual application according to Embodiment 1 of the present invention.
  • FIG. 2 is a schematic structural diagram of a first data processing device according to Embodiment 2 of the present invention.
  • FIG. 3 is a schematic diagram of configuration information of a product parcel receipt address in Embodiment 2 of the present invention.
  • FIG. 4 is a schematic structural diagram of a fulfillment computer system according to Embodiment 3 of the present invention.
  • FIG. 5 is a schematic flowchart diagram of a data processing method according to Embodiment 4 of the present invention.
  • FIG. 6 is a schematic flowchart of a method for determining discount information and incentive information of the specific commodity in a method according to Embodiment 4 of the present invention
  • FIG. 7 is a schematic flowchart of a method for determining a target user according to user data in a method according to Embodiment 4 of the present invention.
  • FIG. 8 is a schematic flowchart of a data processing method according to Embodiment 5 of the present invention.
  • FIG. 9 is a schematic structural diagram of a data processing device according to an embodiment of the present invention.
  • the present invention provides a data processing system, wherein the data processing system includes a first data processing device 101 that generates commodity delivery information, and a second data processing device that provides the commodity delivery information for a commodity delivery personnel. 2, including:
  • the solution provided by the embodiment of the present invention is that the user predicts in advance according to the historical information of the user before the user orders the product, and predicts that the user will directly deliver the product after purchasing the product, thereby achieving a large saving.
  • the first data processing device 101 is configured to determine, according to historical information of the user, a plurality of target users that may purchase a specific product; acquire multiple address information corresponding to the multiple target users, and follow the multiple Combining the address information to form a commodity delivery information is sent to the second data processing device;
  • the first data processing device 101 may be disposed in a fulfillment center, and the fulfillment center may send the analysis result analyzed according to the historical information to the supplier, so that the provider further presents the result to the client according to the analysis result.
  • the first data processing device 101 may also be deployed inside the supplier, and the supplier may self-predict multiple target users who may purchase specific products according to the historical information stored by the supplier or the historical information obtained through the Internet. .
  • the historical information of the user mentioned in the embodiment of the present invention may be big data information of the user acquired through the Internet (specifically, the big data information may be from an electronic commerce), in order to more accurately predict a user who purchases a specific product.
  • the big data information may be from an electronic commerce
  • Portal physical storefront, social networking site, external environment database and user and product related information in the user's personal information database
  • the assigned addresses are configured for the specific items, and the delivery address includes information of a plurality of demanding users.
  • the first data processing device 101 is further configured to: according to user transaction data information, commodity logistics data information, environmental data information, and user socialization in the historical information, in order to accurately analyze a user who may purchase a specific commodity.
  • user transaction data information commodity logistics data information
  • environmental data information environmental data information
  • user socialization in the historical information, in order to accurately analyze a user who may purchase a specific commodity.
  • the first data processing device 101 may process the historical data through some specific algorithms to determine the target user. Therefore, the first data processing device 101 is further configured to calculate the historical information of the user by using a weighting calculation and/or a similarity calculation method to determine a plurality of target users that may purchase a specific product.
  • the second data processing device 102 is configured to receive the commodity delivery information and process the commodity delivery information, so that the commodity delivery personnel according to one of the plurality of address information included in the commodity delivery information or A plurality of the specific products are dispatched to at least one of the plurality of target users.
  • the second data processing device may also be disposed in the fulfillment center, and the second data processing device disposed in the fulfillment center may classify the products provided by the supplier according to the analyzed product delivery information. Or forwarded to the dispatcher for delivery.
  • the second data processing device may also be disposed on the dispatcher.
  • the second data processing device may be a server device disposed on the dispatcher or a mobile device terminal held by the commodity dispatcher.
  • the commodity delivery information may be transmitted to the second data processing device disposed at the dispatcher;
  • the data processing device processes the commodity delivery information or directly outputs, so that the dispatcher who delivers the specific commodity can deliver the commodity to the corresponding user according to the delivery information.
  • a plurality of users periodically purchase the product a, according to the historical data analysis of the user, it can be analyzed from the thousands of users who purchase the product that the plurality of users periodically purchase the product a
  • the first data processing device can send the result of the analysis (ie, the product delivery information in the embodiment of the present invention) to the second data processing device, and then the second data processing device performs the simplest analysis result.
  • the processing method may be: directly outputting the analysis result.
  • the merchandiser may then deliver the particular merchandise according to the addresses of the plurality of users included in the analysis result.
  • the first user does not receive the particular item, it is dispatched to the second user; until the user purchases the particular item or sends it to a predetermined institution that will receive the particular item.
  • the first data processing device is further configured to perform the following operations, in order to deliver the specific product to the user location of the specific product at the fastest speed.
  • the operations that the first data processing device needs to perform include:
  • the first data processing device 101 is also used to select a plurality of users within the set geographic area that would potentially purchase the particular item when selecting a user who might potentially purchase the particular item. Determined as the target user.
  • the first data processing device After the first data processing device analyzes the historical data of the user, and finds that there are many users who may purchase an item, the plurality of users in the set geographic area that are likely to purchase the specific item may be determined as The target user. Since the user within the geographical area of the selected setting is the target user who will purchase the specific product, the time of the product delivery can be minimized, and the route of the delivery product can also achieve the shortest effect.
  • the first data processing device 101 is further configured to determine whether the number of users in the set geographic area that are likely to purchase the specific item is greater than a first threshold, and if yes, the set geographic area range A plurality of users within the potential purchase of the particular item are determined as the target user.
  • a plurality of users who may purchase the specific product are determined once, but when the specific product is delivered, only one address can be sent at a time, so the fastest
  • the speed at which the particular item is dispatched to the user most in need of the item may be:
  • the first data processing device 101 is further configured to set a delivery order of the plurality of acquired address information according to the preset parameter.
  • the manner of determining the delivery order according to the preset parameters may be:
  • the first data processing device 101 is further configured to: according to the distance parameter of the target user, the distance parameter of the specific item origination, the importance degree parameter of the target user, and the urgency parameter of the target user for the specific item demand. One or more combinations of settings to obtain multiple address information Delivery order.
  • the manner of confirming the delivery order of multiple addresses may include multiple types, and specifically:
  • the priority may be arranged according to the order of the user receiving the address, thereby reducing the delivery of the finished product; or according to the importance degree of the user, for example, the VIP user or the user with higher reputation has higher priority; and the predicted user may also be
  • the urgency or time of demand for these products is prioritized, and the urgent needs are arranged in the front; finally, the priority can be determined according to the number of times the user rejects the push package, and the priority of the user with more rejections is set. It is lower.
  • the product package since the user does not make clear order information when the product is delivered, although the product package is configured with multiple receiving addresses, the product is not returned to the geographical area after being rejected once.
  • the superior address is or other geographic area, but there is also a transportation cost for delivery within a geographic area. Therefore, in order to reduce the transportation cost and shorten the delivery path, in the solution provided by the embodiment of the present invention:
  • the first data processing device 101 is further configured to receive, by the second data processing device 102, feedback information sent by the second data processing device 102 for the specific item delivery situation, according to the The feedback information pushes new information of the specific item to the second data processing device.
  • the first data processing device 101 is further configured to set, according to the feedback information, discount information and incentive information for the specific commodity in the newly added information.
  • the incentive information is offer information provided by the merchant that can increase the user's desire to purchase the particular product.
  • the incentive information may be: the purchase of the specific item will give a related item or the like.
  • the delivery principle is The user who has made the order request is the highest priority, so when the first data device receives a subscription request from a certain user, and the distance between the address of the subscribed user and the address of the already delivered product is less than a set threshold, then The priority of the subscriber can be set to the highest according to the delivery principle, so the first data processing device 101 is also used to change the finger.
  • the delivery route of the goods is delivered to the ordering user, and the specific implementation further includes:
  • the first data processing device 101 receives subscription information of a subscription user, and determines, between the location information of the subscription user and the current location of the specific product, according to the subscription information. Whether the distance is less than the second threshold, if yes, generating a first adjustment instruction according to the address of the subscription user, and transmitting a first adjustment instruction to the second data processing device 102;
  • the second data processing device 102 is further configured to process the first adjustment instruction, so that the commodity delivery personnel dispatch the specific commodity from the current location to the address of the subscription user according to the first adjustment instruction. Corresponding geographical location.
  • the first data processing device 101 when the specific item to be delivered is predicted to be in the process of delivery, if the first data processing device 101 receives the order of the specific item by the user A, but the address corresponding to the user A is not the specific item. Next delivery address. In order to satisfy the user's needs to the greatest extent, the specific product in the delivery route can be directly sent to the user A. Therefore, after determining the specific location of the user A and the specific product, the first data processing device 101 sends a first adjustment instruction to the second data processing device 102, where the first adjustment instruction may be the address of the user A. The corresponding dispatcher is enabled to deliver the specific commodity to the user A according to the first adjustment instruction.
  • the first data processing device 101 is further configured to add a default address to the commodity delivery information, and the solution is include:
  • the first data processing device 101 determines a destination address of the specific item that is last delivered among the plurality of address information, and determines a store address at which the specific item can be sold according to the target address, and updates the default address Is the store address, and send a second adjustment instruction to the second data processing device 102;
  • the second data processing device 102 is further configured to process the second adjustment instruction, so that the commodity delivery personnel dispatch the specific commodity to a store corresponding to the store address according to the second adjustment instruction.
  • the system provided by the embodiment of the present invention may be the structure shown in FIG. 1A. If the system provided by the embodiment of the present invention is applied to the logistics transportation computer system and the fulfillment computer system in the logistics transportation system,
  • the first data processing device may be disposed in a fulfillment computer system, and the second data processing device may be disposed in a logistics transport computer system.
  • the fulfillment computer system and the logistics transport computer system can perform data interaction via a wireless/wired network.
  • the fulfilling computer system can also be connected to the big data storage device through the network, wherein the big data storage device stores the user and the commodity.
  • a large amount of related data such as: e-commerce portal data, physical storefront location information data, social network data, external environment data, user personal information data, and the like.
  • the specific structure of the first data processing device may be as shown in FIG. 2, which specifically includes:
  • the data storage module 201 is configured to save the big data information related to the user and the commodity that is queried through the Internet, and is used for statistically predicting the goods required by the user.
  • User and product related data may include user and product information from e-commerce portals, such as transaction records, browsing history, etc.; user and product information from physical storefronts, including transaction records, user questionnaire information, market research information, merchandise Library, etc.; social and interest information from users on social networking sites; information about the environment in which each user is stored in the external environment database, such as the city in which the city is located, the weather in the city, etc., or from users in the user's personal information database Personal information, such as the user's itinerary, calendar, memo, etc.
  • the demand commodity prediction module 202 is configured to predict a potential demand of the user for the commodity and the required time according to various big data information queried in the data storage module. People based on potential users of the product The number, the location of the user, and the time these users need the item.
  • the commodity parcel management module 203 is configured to determine, according to the demanded merchandise predicted by the demand merchandise forecasting module 202, the user information that is required for the merchandise, to determine which merchandise is to be packaged and delivered, and configure each parcel.
  • the delivery address and priority order of multiple demanding users. also configure a sales store address to be used when all users do not receive the package.
  • the addresses of demanding users and sales stores in the same geographical area can be configured on a package.
  • the product package receiving address configuration information is as shown in FIG. 3, and the product package can be configured with information of multiple users, including sender information, package ID, and sequence and address of multiple recipients.
  • the plurality of recipients includes a customer address within the unified geographic area that has a potential need for the merchandise package, and a store address at which the merchandise can be sold.
  • the product package may not need to display the address of all the recipients, and the travel computer system may inform the logistics and transportation computer system of the recipient address list and priority order of the package.
  • the shipping computer system configures the new address to the merchandise package based on the address list record so that the merchandise parcel can be sent from the logistics center of the nearest geographic area to the next user address.
  • the fulfillment computer system provided by the present invention may be a computer or a computer system composed of a plurality of computers and servers.
  • the specific physical structure may be as shown in FIG. 4, and specifically includes:
  • the central processing unit 401 is configured to control various hardware devices of the entire fulfillment computer system, run operating system software and required application software, including data storage module management software, user demand commodity prediction software, and commodity package management software.
  • Software functions such as the administrator UI operation interface are all running on 401.
  • the storage device 402 is configured to perform storage of various software programs of the computer system, storage of data, operation of software, and the like, and may be one or more of an SSD and an HD hard disk, and the present invention provides The software-related functions of the user merchandise forecast shipment are also run and stored on 402.
  • the communication device 403 is configured to provide a network communication function for fulfilling the computer system, including one or more of wired transmission, optical transmission, and the like.
  • the power supply device 404 is configured to fulfill a power supply device of the computer system.
  • I/O control 405 is a fulfillment computer system for controlling data interaction between various input and output devices.
  • the input/output (I/O) interface 406 is an external interface provided by the computer system, including one or more of a serial port and a network port.
  • the operation/display interface control unit 407 is configured to perform a GUI (Graphical User Interface) operation/display interface provided by the computer system, and display the running status of the computer system, the device status, the user operation interface, and the operation result.
  • GUI Graphic User Interface
  • the computer system may also be composed of multiple computers or servers, or may be a distributed system to form a computer system, or may use processor pooling, memory pooling, and I/O. Pooled way to build a computer system.
  • a plurality of users of a certain item that may need to be purchased are predicted by the historical data of the user, and the predicted item is packaged and sent to multiple users before the user places an order.
  • predict multiple potential users for the goods to be delivered configure the recipient address of multiple demand users for the product package, the default sales store address and delivery order. Effectively reduce the delay caused by logistics in the e-shopping process.
  • the address of the target user selected in the embodiment of the present invention and the address of the sales store are all in the same geographical area, thereby minimizing the logistics cost.
  • an embodiment of the present invention further provides a data processing method, which is applied to a data processing system, where the data processing system includes a first data processing device that generates commodity delivery information, and provides the product delivery personnel with the A second data processing device for delivering product information, comprising:
  • Step 501 The first data processing device determines, according to historical information of the user, a plurality of target users that may purchase a specific product, and acquires multiple address information corresponding to the multiple target users, and Combining the plurality of address information to form a commodity delivery information;
  • the historical information includes one or more combinations of user transaction data information, commodity logistics data information, environmental data information, and user social data information.
  • the manner of combining the plurality of address information to form a product delivery information may be:
  • the first data processing device sets a delivery order of the plurality of obtained address information according to the preset parameter
  • the sending sequence of the plurality of address information acquired by the first data processing device according to the preset parameter setting includes:
  • the first data processing device according to one or more of a distance parameter of the target user receiving location and the specific commodity origination distance, a target user's importance degree parameter, and a target user's urgency parameter for the specific product demand
  • the combination of the plurality sets the order of delivery of the plurality of address information.
  • Step 502 The first data processing device sends the commodity delivery information to the commodity delivery personnel to provide the commodity delivery information, so that the second data processing device processes the commodity delivery information, and the commodity delivery personnel can And transmitting the specific commodity to at least one of the plurality of target users according to one or more of the plurality of address information included in the commodity delivery information processed by the second data processing device.
  • the determining, according to the historical information of the user, the plurality of target users that may purchase a specific product include:
  • the first data processing device calculates the historical information of the user by using a weighting calculation and/or a similarity calculation method to determine a plurality of target users who are likely to purchase a specific item.
  • the first data processing device determines, according to the historical information of the user, a plurality of target users that may purchase a specific product, including:
  • the plurality of users are determined to be the target users.
  • the method further includes: before the determining the plurality of users as the target user, the method further comprising:
  • the method further includes:
  • the first data processing device receives the feedback information sent by the second data processing device for the specific item delivery situation, and pushes the new information of the specific item to the second data processing device according to the feedback information.
  • the first data processing device sets, according to the feedback information, discount information and incentive information for the specific item in the newly added information.
  • the specific implementation method for determining the discount information and the incentive information of the specific commodity may be (the method flow is as shown in FIG. 6):
  • Step 601 when the goods are rejected at the current receiving address, determining the potential cost of the goods being sent to the next receiving address;
  • Potential costs can include transportation costs, temporary costs of transportation, labor costs, and the like. For example, if a product has an expiration date or a shelf life, it can increase the potential cost. If the seller is in a promotion or brand sales promotion strategy, it is required to sell the goods within a specific time, and the potential expenses may be appropriately increased according to the residence time of the goods.
  • Step 602 Set, according to the feedback information, discount information and incentive information for the specific commodity in the added information, where the discount information and the incentive information are set according to a potential fee.
  • the principle for determining the preferential strategy is that the cost of the preferential strategy will not be greater than the potential cost.
  • promotional strategies including direct discounts, bonus gifts, bonus points, and even free gifts.
  • the delivery principle is that the user who has already made the order request is The highest priority, so when the first data device receives a subscription request from a user and the distance between the address of the subscriber and the address of the delivered product is less than a set threshold, the subscription can be based on the delivery principle.
  • the user's priority is set to the highest. Therefore, in the embodiment of the present invention, after the plurality of address information is combined to form a product delivery information and sent to the second data processing device, the method further includes:
  • the first data processing device receives subscription information of a subscription user, determining, according to the subscription information, whether a geographic location of the subscription user is a distance from a current location of the specific product Whether it is less than the second threshold, if yes, generating a first adjustment instruction according to the address of the subscription user, and transmitting a first adjustment instruction to the second data processing device; causing the commodity delivery personnel to adjust according to the first adjustment
  • the instruction dispatches the particular item from a current location to a geographic location corresponding to the address of the subscriber.
  • the plurality of address information are combined to form a commodity delivery information and sent to the second data processing device.
  • Method steps also include:
  • the first data portion is The specific implementation of the device according to the historical information of the user to determine a plurality of target users who may purchase a specific product may be:
  • Step 701 Collect user data, and perform statistical prediction on the user demanded goods.
  • query the user's related information through the network For example, query the user's related information through the network.
  • Step 702 Based on the collected data, statistically predict and confirm the goods with potential demand.
  • Forecasting There are various methods for forecasting, such as statistical forecasting based on purchase history, weighted calculation of comprehensive interest based on various parameters, and speculative product demand based on user similarity in groups, based on the purchase of similar products in the prior, forecasting later Purchase users of evolving goods, etc.
  • Step 703 after confirming the potential purchase user for some commodities, it is possible to confirm whether the package push is required according to the geographical location of the potential purchase user and the product attribute.
  • the number of potential demand users in the same geographical area is greater than a certain threshold, it is determined that the goods are to be packaged and delivered, which can further reduce the cost of delivery failure.
  • the goods need to be packaged and delivered according to the attributes of the goods, for example, according to the goods cost, profit, output, inventory, availability, risk of the goods being transported (such as the transportation cost of the goods being resold) ), the proportion of goods shipped in advance, etc.
  • Step 704 packaging the merchandise, and configuring the receiving address and delivery priority for the parcel according to the predicted user information.
  • the receiving address includes multiple potential demand users and the area within the same geographic area A sales store address within the domain.
  • the priority may be arranged according to the order of the user receiving the address, thereby reducing the delivery of the finished product; or the user may be predicted according to the importance degree, such as a VIP user or a user with higher reputation.
  • the priority is higher; the priority can be arranged according to the predicted urgency or time of the demand of the goods by the user, and the emergency demand can be arranged in the front; finally, the priority can be determined according to the number of times the user rejects the push package. Level, set the user priority of the number of rejections to be lower, and so on.
  • the specific method implementation may be (the method flow is as shown in FIG. 8):
  • step 801 before the user places an order, the forecast determines that the goods that need to be packaged into the package are sent to the user, and the goods that need to be packaged predict multiple demand users.
  • the package may have one or more predicted commodities
  • Step 802 configuring, for the parcel, a delivery priority of multiple recipient addresses and multiple recipient addresses;
  • the zip code if the first few digits of the zip codes of multiple addresses are consistent, it is considered to be in the same geographical area;
  • Step 803 configuring a default address for the parcel
  • the priority is configured to be the lowest. It is convenient for the package to be delivered to a store where the goods can be sold, when the package is unattended, to reduce the delivery cost of the package being transferred to other geographic areas.
  • Discounted or discount policy can be determined based on the number of times the package is rejected and the cost of the next delivery address.
  • step 804 the package address information and priority order of the package are sent to the logistics and transportation computer system for transportation and logistics monitoring of the commodity package.
  • an embodiment of the present invention further provides a data processing device, where the data processing device generates commodity delivery information, and the data processing device can exchange data with a second data processing device, where the second data processing device is
  • the product delivery device provides the product delivery information
  • the data processing device includes:
  • the target determining unit 901 is configured to determine, according to historical information of the user, a plurality of target users that may purchase a specific product;
  • the target determining unit 901 is further configured to determine whether the number of users in the set geographic area that may purchase the specific item is greater than a first threshold, and if yes, the set of the geographical area A plurality of users who are likely to purchase the particular item are determined to be the target user.
  • the dispatching information generating unit 902 is configured to acquire a plurality of address information corresponding to the plurality of target users, and combine the plurality of address information to form a commodity dispatching information;
  • the dispatching information generating unit 902 is further configured to set a sending order of the plurality of acquired address information according to the preset parameter.
  • the sending unit 903 is configured to send the commodity delivery information to the commodity delivery personnel to provide the commodity delivery information, so that the second data processing device processes the commodity delivery information, and the commodity delivery personnel can according to the second data. And transmitting one or more of the plurality of address information included in the commodity delivery information processed by the processing device to the plurality of target users at least one.
  • the data processing device provided by the embodiment of the present invention further includes:
  • the data processing device further includes:
  • the first adjusting unit 904 is configured to receive feedback information sent by the second data processing device for the specific item delivery situation, and push the new information of the specific item to the second data processing device according to the feedback information.
  • a second adjusting unit 905 configured to determine, before the plurality of address information is combined to form a commodity delivery information, send the target address of the specific commodity to the second data processing device, Determining, according to the target address, a store address at which the specific product can be sold, updating the default address to the store address, and transmitting a second adjustment instruction to the second data processing device; The person dispatches the specific commodity to the store corresponding to the store address according to the second adjustment instruction.
  • a plurality of users of a certain item that may need to be purchased are predicted by the historical data of the user, and the predicted item is packaged and sent to multiple users before the user places an order.
  • predict multiple potential users for the goods to be delivered configure the recipient address of multiple demand users for the product package, the default sales store address and delivery order. Effectively reduce the delay caused by logistics in the e-shopping process.
  • the address of the target user selected in the embodiment of the present invention and the address of the sales store are all in the same geographical area, thereby minimizing the logistics cost.

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Abstract

本发明公开了一种数据处理***及方法，该***包括生成商品派送信息的第一数据处理设备、为商品派送人员提供所述商品派送信息的第二数据处理设备，其中，所述第一数据处理设备根据用户的历史信息，确定潜在会购买特定商品的多个目标用户；获取所述多个目标用户对应的多个地址信息，并按照将所述多个地址信息组合形成一商品派送信息发送到所述第二数据处理设备；使得商品派送人员根据所述商品派送信息中包含的所述多个地址信息中的一个或多个将所述特定商品派送给所述多个目标用户中至少一个。本发明公开的方案在用户下订单购买商品前，将预测出的商品派送给多个用户，有效的减小电子购物过程中物流所带来的延迟。

Description

一种数据处理***及方法 技术领域
本发明涉及数据处理领域，尤其涉及一种数据处理***及方法。
背景技术
近年来，网上购物成为用户常用的购物手段之一，相对实体店购物，网上购物可以让买家在家“逛商店”，订货不受时间、地点的限制；获得大量的商品信息，买到更大区域范围内的商品；从订货、买货到货物上门无需亲临现场既省时，又省力。
网上购物，就是通过互联网检索商品信息，并通过电子订购单发出购物请求，然后填上私人支票帐号或***的号码，厂商通过邮购的方式发货，或是通过快递公司送货上门。
目前常用的网上购物方式是：买家下电子订单，然后卖家根据订单将买家购买的商品邮寄或者快递到买家手上。通常情况下，买家订购某个商品后，需要等待商品邮寄时间,无法做到买家购买后立刻拿到商品。虽然通过加急运输缩短买家等待商品到达时间，但是买家需要支付额外的费用，而且仍然需要等待商品传输时间。
可见，现有技术中的网上购物处理方式会导致物品流通的时间长，从而造成用户的使用感受度不佳等问题。
发明内容
本发明提供一种数据处理***及方法，本发明所提供的方法和装置解决现有技术中的网上购物处理方式会导致物品流通的时间长，从而造成用户的使用感受度不佳等问题。
第一方面，提供一种数据处理***，包括生成商品派送信息的第一数据 处理设备、为商品派送人员提供所述商品派送信息的第二数据处理设备，包括：
所述第一数据处理设备，用于根据用户的历史信息，确定潜在会购买特定商品的多个目标用户；获取所述多个目标用户对应的多个地址信息，并将所述多个地址信息组合形成一商品派送信息发送到所述第二数据处理设备；
所述第二数据处理设备，用于接收所述商品派送信息并对所述商品派送信息进行处理，使得商品派送人员根据所述商品派送信息中包含的所述多个地址信息中的一个或多个将所述特定商品派送给所述多个目标用户中至少一个。
结合第一方面，在第一种可能的实现方式中，所述第一数据处理设备还用于将设定的地理区域范围内的潜在会购买所述特定商品的多个用户确定为所述目标用户。
结合第一方面的第一种可能的实现方式，在第二种可能的实现方式中，所述第一数据处理设备还用于判断所述设定的地理区域范围内潜在会购买所述特定商品的用户数是否大于第一阈值，如果是，则将所述设定的地理区域范围内的潜在会购买所述特定商品的多个用户确定为所述目标用户。
结合第一方面，或者第一方面的第一至二种可能的实现方式中的任意一种，在第三种可能的实现方式中，所述第一数据处理设备具体用于根据所述历史信息中的用户交易数据信息、商品物流数据信息，环境数据信息和用户的社交数据信息中的一种或者多种组合，确定潜在会购买特定商品的多个目标用户。
结合第一方面，或者第一方面的第一至三种可能的实现方式中的任意一种，在第四种可能的实现方式中，所述第一数据处理设备还用于根据预设的参数设置获取到的多个地址信息的派送顺序。
结合第一方面的第四种可能的实现方式，在第五种可能的实现方式中，所述第一数据处理设备具体用于根据目标用户接收地与所述特定商品始发地的远近距离参数、目标用户的重要程度参数、目标用户对所述特定商品需求 的紧急程度参数中的一种或者多种的组合设置获取到的多个地址信息的派送顺序。
结合第一方面，或者第一方面的第一至五种可能的实现方式中的任意一种，在第六种可能的实现方式中，当所述商品派送到所述多个地址信息其中一个对应的地址后，第一数据处理设备还用于接收第二数据处理设备针对所述特定物品派送情况发送的反馈信息，并根据所述反馈信息向所述第二数据处理设备推送所述特定商品的新增信息。
结合第一方面的第六种可能的实现方式，在第七种可能的实现方式中，所述第一数据处理设备还用于根据所述反馈信息设置所述新增信息中针对所述特定商品的打折信息和激励信息。
结合第一方面，或者第一方面的第一至七种可能的实现方式中的任意一种，在第八种可能的实现方式中，所述特定商品派送过程中，当所述第一数据处理设备接收一个订购用户的订购信息，则所述第一数据处理设备还用于根据所述订购信息判断所述订购用户的地理位置与所述特定商品的当前位置之间的距离是否小于第二阈值，如果是，则根据所述订购用户的地址生成第一调整指令，并发送第一调整指令给所述第二数据处理设备；
则所述第二数据处理设备还用于对所述第一调整指令进行处理，使得所述商品派送人员根据所述第一调整指令将所述特定商品从当前位置派送到所述订购用户的地址对应的地理位置。
结合第一方面，或者第一方面的第一至六种可能的实现方式中的任意一种，在第九种可能的实现方式中，所述第一数据处理设备还用于在所述商品派送信息中添加一个缺省地址，则
所述第一数据处理设备还用于确定所述多个地址信息中最后派送所述特定商品的目标地址，并根据所述目标地址确定可销售所述特定商品的商店地址，将所述缺省地址更新为所述商店地址，并发送第二调整指令给所述第二数据处理设备；
所述第二数据处理设备还用于对所述第二调整指令进行处理，使得所述 商品派送人员根据所述第二调整指令将所述特定商品派送到所述商店地址对应的商店。
结合第一方面，或者第一方面的第一至六种可能的实现方式中的任意一种，在第十种可能的实现方式中，所述第一数据处理设备还用于利用加权计算和/或相似度计算方法对所述用户的历史信息进行计算，确定潜在会购买特定商品的多个目标用户。
第二方面，提供一种数据处理方法，该方法应用于一数据处理***，该数据处理***包括生成商品派送信息的第一数据处理设备、为商品派送人员提供所述商品派送信息的第二数据处理设备，包括：
所述第一数据处理设备根据用户的历史信息，确定潜在会购买特定商品的多个目标用户；获取所述多个目标用户对应的多个地址信息，并按照将所述多个地址信息组合形成一商品派送信息；
所述第一数据处理设备将所述商品派送信息发送到为商品派送人员提供所述商品派送信息的，使得第二数据处理设备对所述商品派送信息进行处理，并且商品派送人员能根据第二数据处理设备处理后的商品派送信息中包含的所述多个地址信息中的一个或多个将所述特定商品派送给所述多个目标用户中至少一个。
结合第二方面，在第一种可能的实现方式中，所述根据用户的历史信息，确定潜在会购买特定商品的多个目标用户包括：
所述第一数据处理设备根据用户的历史信息，确定设定的地理区域范围内的潜在会购买所述特定商品的多个用户；
将所述多个用户确定为所述目标用户。
结合第二方面的第一种可能的实现方式，在第二种可能的实现方式中，所述将所述多个用户确定为所述目标用户之前，该方法还进一步包括：
所述第一数据处理设备判断所述设定的地理区域范围内潜在会购买所述特定商品的用户个数是否大于第一阈值，如果是，则将所述多个用户确定为所述目标用户。
结合第二方面，或者第二方面的第一至二种可能的实现方式中的任意一种，在第三种可能的实现方式中，所述历史信息包括用户交易数据信息、商品物流数据信息，环境数据信息和用户的社交数据信息中的一种或者多种组合。
结合第二方面，或者第二方面的第一至三种可能的实现方式中的任意一种，在第四种可能的实现方式中，所述按照将所述多个地址信息组合形成一商品派送信息包括：
所述第一数据处理设备根据预设的参数设置获取到的多个地址信息的派送顺序；
并按照所述派送顺序将所述多个地址信息组合形成一商品派送信息。
结合第二方面的第四种可能的实现方式，在第五种可能的实现方式中，所述第一数据处理设备根据预设的参数设置获取到的多个地址信息的派送顺序包括：
所述第一数据处理设备根据目标用户接收地与所述特定商品始发地的远近距离参数、目标用户的重要程度参数、目标用户对所述特定商品需求的紧急程度参数中的一种或者多种的组合设置所述多个地址信息的派送顺序。
结合第二方面，或者第二方面的第一至五种可能的实现方式中的任意一种，在第六种可能的实现方式中，当所述商品派送到所述多个地址信息其中一个对应的地址后，该方法还进一步包括：
第一数据处理设备接收第二数据处理设备针对所述特定物品派送情况发送的反馈信息，并根据所述反馈信息向所述第二数据处理设备推送所述特定商品的新增信息。
结合第二方面的第六种可能的实现方式，在第七种可能的实现方式中，所述第一数据处理设备根据所述反馈信息设置所述新增信息中针对所述特定商品的打折信息和激励信息。
结合第二方面，或者第二方面的第一至七种可能的实现方式中的任意一种，在第八种可能的实现方式中，所述将所述多个地址信息组合形成一商品 派送信息发送到所述第二数据处理设备之后，还包括：
所述特定商品派送过程中，当所述第一数据处理设备接收一个订购用户的订购信息，根据所述订购信息确定所述订购用户的地理位置与所述特定商品的当前位置之间的距离是否小于第二阈值，如果是，则根据所述订购用户的地址生成第一调整指令，并发送第一调整指令给所述第二数据处理设备；使得所述商品派送人员根据所述第一调整指令将所述特定商品从当前位置派送到所述订购用户的地址对应的地理位置。
结合第二方面，或者第二方面的第一至六种可能的实现方式中的任意一种，在第九种可能的实现方式中，所述将所述多个地址信息组合形成一商品派送信息发送到所述第二数据处理设备之前，还包括：
所述第一数据处理设备确定所述多个地址信息中最后派送所述特定商品的目标地址，并根据所述目标地址确定可销售所述特定商品的商店地址，将所述缺省地址更新为所述商店地址，并发送第二调整指令给所述第二数据处理设备；使得所述商品派送人员根据所述第二调整指令将所述特定商品派送到所述商店地址对应的商店。
结合第二方面，或者第二方面的第一至六种可能的实现方式中的任意一种，在第十种可能的实现方式中，所述根据用户的历史信息，确定潜在会购买特定商品的多个目标用户包括：
所述第一数据处理设备利用加权计算和/或相似度计算方法对所述用户的历史信息进行计算，确定潜在会购买特定商品的多个目标用户。
第三方面，提供一种数据处理设备，该数据处理设备生成商品派送信息，并且该数据处理设备可与第二数据处理设备交互数据，所述第二数据处理设备为商品派送人员提供所述商品派送信息，则该数据处理设备包括：
目标确定单元，用于根据用户的历史信息，确定潜在会购买特定商品的多个目标用户；
派发信息生成单元，用于获取所述多个目标用户对应的多个地址信息，并按照将所述多个地址信息组合形成一商品派送信息；
发送单元，用于将所述商品派送信息发送到为商品派送人员提供所述商品派送信息的，使得第二数据处理设备对所述商品派送信息进行处理，并且商品派送人员能根据第二数据处理设备处理后的商品派送信息中包含的所述多个地址信息中的一个或多个将所述特定商品派送给所述多个目标用户中至少一个。
结合第三方面，在第一种可能的实现方式中，所述目标确定单元还用于判断设定的地理区域范围内潜在会购买所述特定商品的用户数是否大于第一阈值，如果是，则将所述设定的地理区域范围内的潜在会购买所述特定商品的多个用户确定为所述目标用户。
结合第三方面，在第二种可能的实现方式中，派发信息生成单元还用于根据预设的参数设置获取到的多个地址信息的派送顺序。
结合第三方面，在第三种可能的实现方式中，当所述商品派送到所述多个地址信息其中一个对应的地址后，该数据处理设备还包括：
第一调整单元，用于接收第二数据处理设备针对所述特定物品派送情况发送的反馈信息，并根据所述反馈信息向所述第二数据处理设备推送所述特定商品的新增信息。
结合第三方面，在第四种可能的实现方式中，该数据处理设备还包括：
第二调整单元，用于将所述多个地址信息组合形成一商品派送信息发送到所述第二数据处理设备之前，确定所述多个地址信息中最后派送所述特定商品的目标地址，并根据所述目标地址确定可销售所述特定商品的商店地址，将所述缺省地址更新为所述商店地址，并发送第二调整指令给所述第二数据处理设备；使得所述商品派送人员根据所述第二调整指令将所述特定商品派送到所述商店地址对应的商店。
上述技术方案中的一个或两个，至少具有如下技术效果：
本发明实施例所提供的方案中，首先会通过用户的历史数据预测当前可能需要购买的某个商品的多个用户，在用户下订单前，将预测出的商品打包， 并派送给多个用户，从而减少用户等待商品到货的时间。
附图说明
图1为本发明实施例一提供的一种数据处理***的结构示意图；
图1A为本发明实施例一提供的一种数据处理***在实际应用中可选的结构示意图；
图2为本发明实施例二提供的第一数据处理设备的结构示意图；
图3为本发明实施例二中商品包裹收件地址配置信息的示意图；
图4为本发明实施例三提供的一种履行计算机***的结构示意图；
图5为本发明实施例四提供的一种数据处理方法的流程示意图；
图6为本发明实施例四提供的方法中确定所述特定商品的打折信息和激励信息的方法流程示意图；
图7为本发明实施例四提供的方法中根据用户数据确定目标用户的方法流程示意图；
图8为本发明实施例五提供的一种数据处理方法的流程示意图；
图9为本发明实施例提供的一种数据处理设备结构示意图。
具体实施方式
为使本发明实施例的目的、技术方案和优点更加清楚，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
实施例一
如图1所示，本发明提供一种数据处理***，其中，该数据处理***包括生成商品派送信息的第一数据处理设备101、为商品派送人员提供所述商品派送信息的第二数据处理设备2，包括：
本发明实施例所提供的方案是在用户未定购商品之前，根据用户的历史信息进行***，预测到用户会购买某一商品后就直接对所述商品进行派送，从而能够达到做大限度节约电子购物时间延迟的问题。
所述第一数据处理设备101，用于根据用户的历史信息，确定潜在会购买特定商品的多个目标用户；获取所述多个目标用户对应的多个地址信息，并按照将所述多个地址信息组合形成一商品派送信息发送到所述第二数据处理设备；
在本发明实施例中，所述第一数据处理设备101可以设置在履行中心内，履行中心可以将根据历史信息分析出的分析结果发送给供应商，使得供应商再根据所述分析结果向客户运输商品；另外，所述第一数据处理设备101也可以部署在供应商内部，由供应商根据自身存储的历史信息或者通过互联网获取到的历史信息自行预测潜在会购买特定商品的多个目标用户。
其中，为了更准确的预测会购买特定商品的用户，本发明实施例中所提到的用户的历史信息可以是通过互联网获取的用户的大数据信息(具体所述大数据信息可以是来自电子商务门户，物理店面，社交网站，外部环境数据库和用户个人信息库中的用户和商品相关信息)，并根据收集到的用户大数据信息，分析预测用户可能需要的商品信息，例如需要商品的时间、品牌、数量等。在确定用户需要的特定商品后，为这些特定商品配置派送的地址，派送地址包括多个需求用户的信息。
其中，为了准确的分析出潜在会购买特定商品的用户，所述第一数据处理设备101还用于根据所述历史信息中的用户交易数据信息、商品物流数据信息，环境数据信息和用户的社交数据信息中的一种或者多种组合，确定潜在会购买特定商品的多个目标用户。
在确定目标用户时，所述第一数据处理设备101可以通过一些具体的算法对所述历史数据进行处理，确定目标用户。所以所述第一数据处理设备101还用于利用加权计算和/或相似度计算方法对所述用户的历史信息进行计算，确定潜在会购买特定商品的多个目标用户。
所述第二数据处理设备102，用于接收所述商品派送信息并对所述商品派送信息进行处理，使得商品派送人员根据所述商品派送信息中包含的所述多个地址信息中的一个或多个将所述特定商品派送给所述多个目标用户中至少一个。
在本发明实施例中，所述第二数据处理设备也可以设置在履行中心内，则设置在履行中心内的第二数据处理设备可以根据分析得到的商品派送信息对供应商提供的商品进行分类，或者是转发给派送方派送。另外，所述第二数据处理设备也可以是设置在派送方，具体所述第二数据处理设备可以是设置在派送方的服务器设备，也可以是商品派送人员手持的移动设备终端。在这种情况下，当商品的供应商或者是履行中心确定了需要派送的用户和特定商品后，则可以将所述商品派送信息发送到设置在派送方的第二数据处理设备；然后第二数据处理设备对所述商品派送信息进行处理或者是直接输出，使得派送所述特定商品的派送人员能够根据所述派送信息将商品派送到对应的用户处。
在具体的应用环境中，如果多个用户会定期购买商品a，所述根据用户的历史数据分析，就可以从购买商品的成千上万用户中分析出所述多个用户会定期购买商品a的特性，第一数据处理设备就可以将所述分析的结果(即本发明实施例中的商品派送信息)发送到第二数据处理设备，然后第二数据处理设备对所述分析结果进行最简单的处理方式可以是：直接输出所述分析结果。然后商品派送人员则可以按照所述分析结果中所包括的所述多个用户的地址将所述特定商品进行派送。在具体派送时，如果第一个用户没有接收所述特定商品，则派送到第二个用户；直到有用户购买所述特定商品或者派送到预设的会接收所述特定商品的机构。
为了将特定商品以最快的速度最简洁的路径派送到购买该特定商品的用户位置，本发明实施例所提供的方案中，所述第一数据处理设备还用于执行以下操作：
首先，因为商品一旦派送，则会产生对应的派送费用以及还有可能会存 在商品派送过程中造成的损坏风险，所以在选择商品派送用户时，所述第一数据处理设备需要执行的操作包括：
为了缩短派送的路径，在选择潜在会购买所述特定商品的用户时，所述第一数据处理设备101还用于将设定的地理区域范围内的潜在会购买所述特定商品的多个用户确定为所述目标用户。
当第一数据处理设备对用户的历史数据进行分析后，发现有很多用户潜在会购买某个商品时，可以将设定的地理区域范围内的潜在会购买所述特定商品的多个用户确定为所述目标用户。因为选择设定的地理区域范围内用户作为将购买特定商品的目标用户后，商品派送的时间可以最大限度的缩小，并且派送商品的路径也能够达到最短的效果。
另外，因为在所述设定的地理区域范围内有做够的用户数量潜在会购买所述特定商品，则能够最大限度的保证商品根据预测信息派送出后，能够被某个用户接收，所以本发明实施例中：
所述第一数据处理设备101还用于判断所述设定的地理区域范围内潜在会购买所述特定商品的用户数是否大于第一阈值，如果是，则将所述设定的地理区域范围内的潜在会购买所述特定商品的多个用户确定为所述目标用户。
其次，因为本发明实施例所提供的方案中，会一次确定潜在会购买所述特定商品的多个用户，但是在派送所述特定商品时，一次只能派送到一个地址，所以为了最快的速度将所述特定商品派送到最需要所述商品的用户处的实现方式可以是：
所述第一数据处理设备101还用于根据预设的参数设置获取到的多个地址信息的派送顺序。
其中，根据预设参数确定派送顺序的方式可以是：
所述第一数据处理设备101还用于根据目标用户接收地与所述特定商品始发地的远近距离参数、目标用户的重要程度参数、目标用户对所述特定商品需求的紧急程度参数中的一种或者多种的组合设置获取到的多个地址信息 的派送顺序。
在具体的应用环境中，确认多个地址的派送顺序(即派送优先级)的方式可以包括多种，具体可以是：
例如可以根据用户接收地址的远近顺序来安排优先级，从而减少派送成品；也可以根据用户的重要程度预测，例如VIP用户，或者信誉较高的用户优先级较高；还可以根据预测到的用户对这些商品的需求紧急程度或者时间来安排优先级，把有紧急需求的安排在前面；最后，还可以根据用户拒收推送包的次数来确定优先级，把拒收次数多的用户优先级设置为较低等。
进一步，在本发明实施例中，因为派送商品时，用户并没有提出明确的订购信息，虽然商品包裹被配置了多个接收地址，使得商品在一次被拒收后，不会被退回到地理区域的上级地址或者是其他地理区域，但是在一个地理区域内部派送也存在运输成本。因此为了减少在运输成本，缩短派送的路径，本发明实施例所提供的方案中：
当所述商品派送到所述多个地址信息其中一个对应的地址后，第一数据处理设备101还用于接收第二数据处理设备102针对所述特定物品派送情况发送的反馈信息，并根据所述反馈信息向所述第二数据处理设备推送所述特定商品的新增信息。
其中，所述第一数据处理设备101还用于根据所述反馈信息设置所述新增信息中针对所述特定商品的打折信息和激励信息。
所述激励信息是商家提供的可以增加用户购买所述特定商品欲望的优惠信息。例如，所述激励信息可以是：购买所述特定商品将会赠送相关商品等。
在本发明实施例中，商品从提供商处派送出去时，所对应的目标用户都没有提出订购所述商品的请求，在具体的派送操作实现中，为了达到最优的派送效果，派送原则是已经提出订购请求的用户为最高优先级，所以当第一数据设备接收到某个用户的订购请求，并且该订购用户的地址与已经派送商品的地址之间的距离小于一个设定的阈值，则根据派送原则可以将该订购用户的优先级设置为最高，所以所述第一数据处理设备101还用于改变所述指 定商品的派送路径，将所述指定商品派送到所述订购用户处，则具体实现还包括：
所述特定商品派送过程中，当所述第一数据处理设备101接收一个订购用户的订购信息，并根据所述订购信息判断所述订购用户的地理位置与所述特定商品的当前位置之间的距离是否小于第二阈值，如果是，则根据所述订购用户的地址生成第一调整指令，并发送第一调整指令给所述第二数据处理设备102；
所述第二数据处理设备102还用于对所述第一调整指令进行处理，使得所述商品派送人员根据所述第一调整指令将所述特定商品从当前位置派送到所述订购用户的地址对应的地理位置。
在该实施例中，当预测派送的特定商品在派送的过程中，如果第一数据处理设备101接收到用户A对所述特定商品的订购，但是用户A对应的地址并不是所述特定商品的下一个派送地址。为了最大限度的满足用户的需求，则可以直接将派送途中的所述特定商品派送到用户A处。所以第一数据处理设备101在确定用户A与所述特定商品的具***置后，则向所述第二数据处理设备102发送第一调整指令，所述第一调整指令可以是用户A的地址，使得对应的派送人员能够根据所述第一调整指令将所述特定商品派送到用户A处。
进一步，虽然确定了多个目标用户，并且提供了对应的策略使得多个目标用户购买所述特定商品，但是针对预测的不确定性，还是有可能所有用户都派送后还是没有任何一个用户接收所述特定商品。为了解决上述问题将派送过程的成本降到最低，本发明实施例所提供的方案中，所述第一数据处理设备101还用于在所述商品派送信息中添加一个缺省地址，则该方案包括：
所述第一数据处理设备101确定所述多个地址信息中最后派送所述特定商品的目标地址，并根据所述目标地址确定可销售所述特定商品的商店地址，将所述缺省地址更新为所述商店地址，并发送第二调整指令给所述第二数据处理设备102；
所述第二数据处理设备102还用于对所述第二调整指令进行处理，使得所述商品派送人员根据所述第二调整指令将所述特定商品派送到所述商店地址对应的商店。
在实际的应用环境中，本发明实施例所提供的***可以是如图1A所示的结构，如果本发明实施例所提供的***应用到物流运输***中的物流运输计算机***和履行计算机***，其中第一数据处理设备可以设置在履行计算机***中，所述第二数据处理设备可以设置在物流运输计算机***中。而且所述履行计算机***与所述物流运输计算机***可以通过无线/有线网络进行数据交互。
进一步为了能够准确的分析用户的购买倾向所以需要获取尽量多与用户相关的数据，所以履行计算机***还可以通过网络与大数据存储设备相连，其中所述大数据存储设备中存储了与用户以及商品相关的大量数据，例如：电子商务门户数据、物理店面位置信息数据、社交网络数据、外部环境数据、用户个人信息数据等等。
实施例二
在本发明实施例中，当所述第一数据处理设备设置在履行计算机***中，则所述第一数据处理设备具体的结构可以如图2所示，其中具体包括：
数据存储模块201，用于保存通过互联网查询到的用户和商品相关的大数据信息，用于对用户需求商品进行统计预测。
用户和商品相关的数据可以包括，来自电子商务门户的用户和商品信息，如交易记录，浏览历史记录等；来自物理店面的用户和商品信息，包括交易记录，用户问卷信息，市场调研信息，商品库等；来自社交网站上的用户的社交和兴趣信息；来自外部环境数据库中存储的各个用户所处环境信息，例如所在城市，所在城市的天气等，还可以是来自用户个人信息库中的用户个人信息，例如用户的行程，日历，备忘录等。
需求商品预测模块202，用于根据数据存储模块中查询到的各种大数据信息，预测用户对商品的潜在需求，以及需要的时间。根据商品***的人 数，用户所在位置，以及这些用户需要商品的时间。
商品包裹管理模块203，用于根据需求商品预测模块202预测出来的有潜在需求的商品，以及对所述商品有需求的用户信息，来确定哪些商品要被打包投递出去，并为每个包裹配置多个有需求用户的投递地址和优先级顺序。同时配置一个销售商店地址，当所有用户都不接收包裹时使用。为了减少物流成本，可以将处于同一个地理区域的有需求用户和销售商店的地址配置在一个包裹上。
具体的，商品包裹收件地址配置信息如图3所示，商品包裹上可以配置多个用户的信息，包括发件人信息，包裹ID，以及多个收件人的顺序和地址。多个收件人包括统一地理区域内的同时对所述商品包裹有潜在需求的客户地址，以及可以销售所述商品的商店地址。
可选的，为了保护用户的隐私安全，商品包裹上可以不用真正显示出所有收件人的地址，旅行计算机***可以将包裹对应的收件人地址列表和优先级顺序告知物流运输计算机***，当用户拒收后，运输计算机***根据地址列表记录将新的地址配置给所述商品包裹，使得所述商品包裹可以从最近的地理区域的物流中心被送至下一个用户地址。
实施例三
基于上述履行***的实现过程，本发明还提供的履行计算机***可以是一台电脑，也可以是多个计算机，服务器组成的计算机***。具体的物理结构可以是图4所示，具体包括：
中央处理器401，用于控制整个履行计算机***的各部分硬件设备，运行操作***软件以及需要的应用程序软件，包括本发明涉及的数据存储模块管理软件，用户需求商品预测软件，商品包裹管理软件，管理员UI操作界面等软件功能都在401上运行。用于实现图2所示结构中需求商品预测模块202和商品包裹管理模块203的功能。
存储设备402，用于完成履行计算机***的各种软件程序的存储、数据的存储、软件的运行等，可以是SSD，HD硬盘中的一种或者多种，本发明提供 的用户商品预测发货的软件相关功能，也在402上运行和存储。
通信设备403，用于为履行计算机***提供网络通信功能，包括有线传输，光传输等中的一种或者多种。
供电设备404，用于为履行计算机***的供电设备。
输入/输出(I/O)控制405是履行计算机***中用于控制各种输入输出设备之间的数据交互。
输入/输出(I/O)接口406是履行计算机***提供的对外接口，包括串口、网口等中的一种或者多种。
操作/显示界面控制单元407，用于履行计算机***提供的GUI(Graphical User Interface，图形用户界面)操作/显示界面，显示履行计算机***的运行状态、设备状态、用户操作界面和操作结果。
可选的，为了提升计算机***的性能，计算机***也可以由多台计算机或者服务器组成，也可以采用分布式***的方式组成计算机***，还可以采用处理器池化，存储器池化，I/O池化的方式来组建计算机***。
本发明实施例所提供的方案中，首先会通过用户的历史数据预测当前可能需要购买的某个商品的多个用户，在用户下订单前，将预测出的商品打包，并派送给多个用户。为了降低预测失误率，为要派送的商品预测多个有潜在需求的用户，为商品包裹配置多个需求用户的收件地址，缺省的销售商店地址和派送顺序。有效的减小电子购物过程中物流所带来的延迟。
另外，本发明实施例中选择的目标用户的地址和销售商店的地址都处于同一地理区域，从而能够最大限度的减少物流成本。
实施例四
如图5所示，本发明实施例还提供一种数据处理方法，该方法应用于一数据处理***，该数据处理***包括生成商品派送信息的第一数据处理设备、为商品派送人员提供所述商品派送信息的第二数据处理设备，包括：
步骤501，所述第一数据处理设备根据用户的历史信息，确定潜在会购买特定商品的多个目标用户；获取所述多个目标用户对应的多个地址信息，并 按照将所述多个地址信息组合形成一商品派送信息；
其中，所述历史信息包括用户交易数据信息、商品物流数据信息，环境数据信息和用户的社交数据信息中的一种或者多种组合。
其中，为了以最优化的路径派送所述商品，所述按照将所述多个地址信息组合形成一商品派送信息的方式可以是：
A，所述第一数据处理设备根据预设的参数设置获取到的多个地址信息的派送顺序；
其中，所述第一数据处理设备根据预设的参数设置获取到的多个地址信息的派送顺序包括：
所述第一数据处理设备根据目标用户接收地与所述特定商品始发地的远近距离参数、目标用户的重要程度参数、目标用户对所述特定商品需求的紧急程度参数中的一种或者多种的组合设置所述多个地址信息的派送顺序。
B，并按照所述派送顺序将所述多个地址信息组合形成一商品派送信息。
步骤502，所述第一数据处理设备将所述商品派送信息发送到为商品派送人员提供所述商品派送信息的，使得第二数据处理设备对所述商品派送信息进行处理，并且商品派送人员能根据第二数据处理设备处理后的商品派送信息中包含的所述多个地址信息中的一个或多个将所述特定商品派送给所述多个目标用户中至少一个。
因为购买商品的用户很多而且商品数量也很多，在本发明实施例中，所述根据用户的历史信息，确定潜在会购买特定商品的多个目标用户包括：
所述第一数据处理设备利用加权计算和/或相似度计算方法对所述用户的历史信息进行计算，确定潜在会购买特定商品的多个目标用户。
并且，为了缩短派送路径减少物流成本，所述第一数据处理设备根据用户的历史信息，确定潜在会购买特定商品的多个目标用户包括：
所述第一数据处理设备根据用户的历史信息，确定设定的地理区域范围内的潜在会购买所述特定商品的多个用户；
将所述多个用户确定为所述目标用户。
其中，所述将所述多个用户确定为所述目标用户之前，该方法还进一步包括：
所述第一数据处理设备判断所述设定的地理区域范围内潜在会购买所述特定商品的用户个数是否大于第一阈值，如果是，则将所述多个用户确定为所述目标用户。
进一步，在本发明实施例中，因为派送商品时，用户并没有提出明确的订购信息，虽然商品包裹被配置了多个接收地址，使得商品在一次被拒收后，不会被退回到地理区域的上级地址或者是其他地理区域，但是在一个地理区域内部派送也存在运输成本。因此为了减少在运输成本，缩短派送的路径，本发明实施例所提供的方案中：当所述商品派送到所述多个地址信息其中一个对应的地址后，该方法还进一步包括：
第一数据处理设备接收第二数据处理设备针对所述特定物品派送情况发送的反馈信息，并根据所述反馈信息向所述第二数据处理设备推送所述特定商品的新增信息。
所述第一数据处理设备根据所述反馈信息设置所述新增信息中针对所述特定商品的打折信息和激励信息。
在该实施例中，确定所述特定商品的打折信息和激励信息的具体实现方法可以是(方法流程如图6所示)：
步骤601，当商品在当前接收地址被拒收，确定商品被派送到下一个接收地址会产生的潜在费用；
潜在费用可以包括运输成本，转运的临时成本，人工成本等。例如：商品存在有效期或者保质期，可以增加潜在费用。如果卖家处于促销或者品牌销量推广的策略，要求在具体时间内将所述商品销售出去，也可以根据商品的驻留时间来适当增加潜在费用。
步骤602，根据所述反馈信息设置所述新增信息中针对所述特定商品的打折信息和激励信息，其中所述打折信息和激励信息根据潜在费用设定。
其中确定优惠策略的原则是：优惠策略的成本不会大于潜在费用。优惠策略可以有多种，包括直接打折，附赠礼品，积分赠送，甚至免费赠送等。
商品从提供商处派送出去时，所对应的目标用户都没有提出订购所述商品的请求，在具体的派送操作实现中，为了达到最优的派送效果，派送原则是已经提出订购请求的用户为最高优先级，所以当第一数据设备接收到某个用户的订购请求，并且该订购用户的地址与已经派送商品的地址之间的距离小于一个设定的阈值，则根据派送原则可以将该订购用户的优先级设置为最高，所以本发明实施例中，所述将所述多个地址信息组合形成一商品派送信息发送到所述第二数据处理设备之后，还包括：
所述特定商品派送过程中，当所述第一数据处理设备接收一个订购用户的订购信息，根据所述订购信息判断所述订购用户的地理位置是否与所述特定商品的当前位置之间的距离是否小于第二阈值，如果是，则根据所述订购用户的地址生成第一调整指令，并发送第一调整指令给所述第二数据处理设备；使得所述商品派送人员根据所述第一调整指令将所述特定商品从当前位置派送到所述订购用户的地址对应的地理位置。
进一步，虽然确定了多个目标用户，并且提供了对应的策略使得多个目标用户购买所述特定商品，但是针对预测的不确定性，还是有可能所有用户都派送后还是没有任何一个用户接收所述特定商品。为了解决上述问题将派送过程的成本降到最低，本发明实施例所提供的方案中，所述将所述多个地址信息组合形成一商品派送信息发送到所述第二数据处理设备之前，该方法步骤还包括：
所述第一数据处理设备确定所述多个地址信息中最后派送所述特定商品的目标地址，并根据所述目标地址确定可销售所述特定商品的商店地址，将所述缺省地址更新为所述商店地址，并发送第二调整指令给所述第二数据处理设备；使得所述商品派送人员根据所述第二调整指令将所述特定商品派送到所述商店地址对应的商店。
如图7所示，本发明实施例所提供的方法步骤501中“所述第一数据处 理设备根据用户的历史信息，确定潜在会购买特定商品的多个目标用户”的具体实现可以是：
步骤701，采集用户数据，对用户需求商品进行统计预测。
例如通过网络查询用户的相关信息。包括，来自电子商务门户的用户交易记录，浏览历史记录，许愿单，购物车，收藏夹等；来自物理店面的用户的交易记录，用户咨询电话，试穿试用信息，用户问卷信息，市场调研信息等；来自社交网站上的用户的社交和兴趣信息，包括用户发送的微博，关注的微博，浏览记录和发帖等；来自外部环境数据库中存储的各个用户所处环境信息，例如用户所在城市，所在城市的天气，最近发生的重大事件，最近的流行信息等；来自用户个人信息库中的用户个人信息，例如用户的兴趣爱好，行程，出差情况，日历，备忘录，用户家庭成员的各种事件，兴趣爱好等。
步骤702，根据采集到的数据，统计预测确认有潜在需求的商品。
预测的方法有多种，例如基于购买历史进行统计预测，基于各种参数加权计算综合兴趣度，根据用户相似度以群组为单位推测商品需求，根据在先相似产品的购买情况，预测在后演进商品的购买用户等。
可选的，还可以进一步预测出潜在需求用户对这些商品的需求时间，从而确定具体的打包投递时间和优先级。
步骤703，当为某些商品确认了潜在购买用户后，可以根据潜在购买用户所处的地理位置以及商品属性确认是否需要打包推送。
例如，当处于同一地理区域的潜在需求用户数大于某一阈值时，才确定要将这些商品打包并投递出去，这样可以进一步减少投递失败的成本。
可选的，还可以根据商品的属性来进行预测是否需要对商品进行打包投递，例如根据商品费用，利润，产量，库存，可获得性，商品被运输的风险(如商品被重寄的运输成本)，提前运输的商品比例等。
步骤704，将商品打包，并根据预测的用户信息，为所述包裹配置接收地址和投递优先级。接收地址包括同一地理区域内的多个潜在需求用户和该区 域内的一个销售商店地址。
具体的，有多种方式确认投递优先级，例如可以根据用户接收地址的远近顺序来安排优先级，从而减少投递成品；也可以根据用户的重要程度预测，例如VIP用户，或者信誉较高的用户优先级较高；还可以根据预测到的用户对这些商品的需求紧急程度或者时间来安排优先级，把有紧急需求的安排在前面；最后，还可以根据用户拒收推送包的次数来确定优先级，把拒收次数多的用户优先级设置为较低等。
实施例五
当图5所示的方法应用到图1A所示的履行计算机***与物流运输计算***中，具体的方法实现可以是(方法流程如图8所示)：
步骤801，在用户下单之前，预测确定需要打包成包裹发送给用户的商品，需要打包的商品都预测了多个需求用户。
在本发明实施例中，根据预测出的用户需求，所述包裹中可以有1个或者多个预测商品；
步骤802，为所述包裹配置多个收件地址和多个收件地址的投递优先级；
从对所述包裹有潜在需求的多个用户中，选择处于同一地理区域的多个用户，并且确认这些用户的投递优先级，为所述包裹配置多个收件地址和多个接收地址的优先级；
其中，确定多个收件地址是否处于同一地理区域的判断方法有多种，例如：
根据邮政编码判断，如果多个地址的邮政编码的前几位一致则认为处于同一地理区域；
根据是否处于同一省份，同一城市，同一个片区，同一个小区，或者相同路段的门牌划片来确定是否处于同一地理区域等
根据预测某地理区域对某商品的总客户需求，来确定是否处于同一地理区域
步骤803，为包裹配置缺省地址；
如缺省地址为同一地理区域内的销售地址，优先级配置为最低。便于当包裹无人接收时，可以将包裹投递到可以销售所述商品的商店内代为销售，以降低包裹被转送到其他地理区域的投递成本。
可选的，为了增加用户的接收率，可以使用一定的策略，例如打折，优惠，或者赠送等方式。可以根据包裹被拒收的次数，寄送给下一收件地址的成本，来决打折或者优惠策略。
步骤804，包裹的收件地址信息和优先级顺序发送给物流运输计算机***，以便对商品包裹进行运输和物流监控。
实施例六
如图9所示，本发明实施例还提供一种数据处理设备，该数据处理设备生成商品派送信息，并且该数据处理设备可与第二数据处理设备交互数据，所述第二数据处理设备为商品派送人员提供所述商品派送信息，则该数据处理设备包括：
目标确定单元901，用于根据用户的历史信息，确定潜在会购买特定商品的多个目标用户；
进一步，所述目标确定单元901还用于判断设定的地理区域范围内潜在会购买所述特定商品的用户数是否大于第一阈值，如果是，则将所述设定的地理区域范围内的潜在会购买所述特定商品的多个用户确定为所述目标用户。
派发信息生成单元902，用于获取所述多个目标用户对应的多个地址信息，并按照将所述多个地址信息组合形成一商品派送信息；
该派发信息生成单元902还用于根据预设的参数设置获取到的多个地址信息的派送顺序。
发送单元903，用于将所述商品派送信息发送到为商品派送人员提供所述商品派送信息的，使得第二数据处理设备对所述商品派送信息进行处理，并且商品派送人员能根据第二数据处理设备处理后的商品派送信息中包含的所述多个地址信息中的一个或多个将所述特定商品派送给所述多个目标用户中 至少一个。
为了增加用户订购所述特定商品的可能性，本发明实施例所提供的数据处理设备还包括：
当所述商品派送到所述多个地址信息其中一个对应的地址后，该数据处理设备还包括：
第一调整单元904，用于接收第二数据处理设备针对所述特定物品派送情况发送的反馈信息，并根据所述反馈信息向所述第二数据处理设备推送所述特定商品的新增信息。
第二调整单元905，用于将所述多个地址信息组合形成一商品派送信息发送到所述第二数据处理设备之前，确定所述多个地址信息中最后派送所述特定商品的目标地址，并根据所述目标地址确定可销售所述特定商品的商店地址，将所述缺省地址更新为所述商店地址，并发送第二调整指令给所述第二数据处理设备；使得所述商品派送人员根据所述第二调整指令将所述特定商品派送到所述商店地址对应的商店。
本申请实施例中的上述一个或多个技术方案，至少具有如下的技术效果：
本发明实施例所提供的方案中，首先会通过用户的历史数据预测当前可能需要购买的某个商品的多个用户，在用户下订单前，将预测出的商品打包，并派送给多个用户。为了降低预测失误率，为要派送的商品预测多个有潜在需求的用户，为商品包裹配置多个需求用户的收件地址，缺省的销售商店地址和派送顺序。有效的减小电子购物过程中物流所带来的延迟。
另外，本发明实施例中选择的目标用户的地址和销售商店的地址都处于同一地理区域，从而能够最大限度的减少物流成本。
本发明所述的方法并不限于具体实施方式中所述的实施例，本领域技术人员根据本发明的技术方案得出其它的实施方式，同样属于本发明的技术创新范围。
显然，本领域的技术人员可以对本发明进行各种改动和变型而不脱离本发明的精神和范围。这样，倘若本发明的这些修改和变型属于本发明权利要 求及其等同技术的范围之内，则本发明也意图包含这些改动和变型在内。

Claims (27)

  1. 一种数据处理***，其特征在于，包括生成商品派送信息的第一数据处理设备、为商品派送人员提供所述商品派送信息的第二数据处理设备，包括：
    所述第一数据处理设备，用于根据用户的历史信息，确定潜在会购买特定商品的多个目标用户；获取所述多个目标用户对应的多个地址信息，并将所述多个地址信息组合形成一商品派送信息发送到所述第二数据处理设备；
    所述第二数据处理设备，用于接收所述商品派送信息并对所述商品派送信息进行处理，使得商品派送人员根据所述商品派送信息中包含的所述多个地址信息中的一个或多个将所述特定商品派送给所述多个目标用户中至少一个。
  2. 如权利要求1所述的***，其特征在于，所述第一数据处理设备还用于将设定的地理区域范围内的潜在会购买所述特定商品的多个用户确定为所述目标用户。
  3. 如权利要求2所述的***，其特征在于，所述第一数据处理设备还用于判断所述设定的地理区域范围内潜在会购买所述特定商品的用户数是否大于第一阈值，如果是，则将所述设定的地理区域范围内的潜在会购买所述特定商品的多个用户确定为所述目标用户。
  4. 如权利要求1～3任一所述的***，其特征在于，所述第一数据处理设备具体用于根据所述历史信息中的用户交易数据信息、商品物流数据信息，环境数据信息和用户的社交数据信息中的一种或者多种组合，确定潜在会购买特定商品的多个目标用户。
  5. 如权利要求1～4任一所述的***，其特征在于，所述第一数据处理设备还用于根据预设的参数设置获取到的多个地址信息的派送顺序。
  6. 如权利要求5所述的***，其特征在于，所述第一数据处理设备具体用于根据目标用户接收地与所述特定商品始发地的远近距离参数、目标用户 的重要程度参数、目标用户对所述特定商品需求的紧急程度参数中的一种或者多种的组合设置获取到的多个地址信息的派送顺序。
  7. 如权利要求1～6任一所述的***，其特征在于，当所述商品派送到所述多个地址信息其中一个对应的地址后，第一数据处理设备还用于接收第二数据处理设备针对所述特定物品派送情况发送的反馈信息，并根据所述反馈信息向所述第二数据处理设备推送所述特定商品的新增信息。
  8. 如权利要求7所述的***，其特征在于，所述第一数据处理设备还用于根据所述反馈信息设置所述新增信息中针对所述特定商品的打折信息和激励信息。
  9. 如权利要求1～8任一所述的***，其特征在于，所述特定商品派送过程中，当所述第一数据处理设备接收一个订购用户的订购信息，则所述第一数据处理设备还用于根据所述订购信息判断所述订购用户的地理位置与所述特定商品的当前位置之间的距离是否小于第二阈值，如果是，则根据所述订购用户的地址生成第一调整指令，并发送第一调整指令给所述第二数据处理设备；
    则所述第二数据处理设备还用于对所述第一调整指令进行处理，使得所述商品派送人员根据所述第一调整指令将所述特定商品从当前位置派送到所述订购用户的地址对应的地理位置。
  10. 如权利要求1～7任一所述的***，其特征在于，所述第一数据处理设备还用于在所述商品派送信息中添加一个缺省地址，则
    所述第一数据处理设备还用于确定所述多个地址信息中最后派送所述特定商品的目标地址，并根据所述目标地址确定可销售所述特定商品的商店地址，将所述缺省地址更新为所述商店地址，并发送第二调整指令给所述第二数据处理设备；
    所述第二数据处理设备还用于对所述第二调整指令进行处理，使得所述商品派送人员根据所述第二调整指令将所述特定商品派送到所述商店地址对应的商店。
  11. 如权利要求1～10任一所述的***，其特征在于，所述第一数据处理设备还用于利用加权计算和/或相似度计算方法对所述用户的历史信息进行计算，确定潜在会购买特定商品的多个目标用户。
  12. 一种数据处理方法，其特征在于，该方法应用于一数据处理***，该数据处理***包括生成商品派送信息的第一数据处理设备、为商品派送人员提供所述商品派送信息的第二数据处理设备，包括：
    所述第一数据处理设备根据用户的历史信息，确定潜在会购买特定商品的多个目标用户；获取所述多个目标用户对应的多个地址信息，并按照将所述多个地址信息组合形成一商品派送信息；
    所述第一数据处理设备将所述商品派送信息发送到为商品派送人员提供所述商品派送信息的，使得第二数据处理设备对所述商品派送信息进行处理，并且商品派送人员能根据第二数据处理设备处理后的商品派送信息中包含的所述多个地址信息中的一个或多个将所述特定商品派送给所述多个目标用户中至少一个。
  13. 如权利要求12所述的方法，其特征在于，所述根据用户的历史信息，确定潜在会购买特定商品的多个目标用户包括：
    所述第一数据处理设备根据用户的历史信息，确定设定的地理区域范围内的潜在会购买所述特定商品的多个用户；
    将所述多个用户确定为所述目标用户。
  14. 如权利要求13所述的方法，所述将所述多个用户确定为所述目标用户之前，该方法还进一步包括：
    所述第一数据处理设备判断所述设定的地理区域范围内潜在会购买所述特定商品的用户个数是否大于第一阈值，如果是，则将所述多个用户确定为所述目标用户。
  15. 如权利要求12～14任一所述的方法，其特征在于，所述历史信息包括用户交易数据信息、商品物流数据信息，环境数据信息和用户的社交数据信息中的一种或者多种组合。
  16. 如权利要求12～15任一所述的方法，其特征在于，所述按照将所述多个地址信息组合形成一商品派送信息包括：
    所述第一数据处理设备根据预设的参数设置获取到的多个地址信息的派送顺序；
    并按照所述派送顺序将所述多个地址信息组合形成一商品派送信息。
  17. 如权利要求16所述的方法，其特征在于，所述第一数据处理设备根据预设的参数设置获取到的多个地址信息的派送顺序包括：
    所述第一数据处理设备根据目标用户接收地与所述特定商品始发地的远近距离参数、目标用户的重要程度参数、目标用户对所述特定商品需求的紧急程度参数中的一种或者多种的组合设置所述多个地址信息的派送顺序。
  18. 如权利要求12～17任一所述的方法，其特征在于，当所述商品派送到所述多个地址信息其中一个对应的地址后，该方法还进一步包括：
    第一数据处理设备接收第二数据处理设备针对所述特定物品派送情况发送的反馈信息，并根据所述反馈信息向所述第二数据处理设备推送所述特定商品的新增信息。
  19. 如权利要求18所述的方法，其特征在于，所述第一数据处理设备根据所述反馈信息设置所述新增信息中针对所述特定商品的打折信息和激励信息。
  20. 如权利要求12～19任一所述的方法，其特征在于，所述将所述多个地址信息组合形成一商品派送信息发送到所述第二数据处理设备之后，还包括：
    所述特定商品派送过程中，当所述第一数据处理设备接收一个订购用户的订购信息，根据所述订购信息确定所述订购用户的地理位置与所述特定商品的当前位置之间的距离是否小于第二阈值，如果是，则根据所述订购用户的地址生成第一调整指令，并发送第一调整指令给所述第二数据处理设备；使得所述商品派送人员根据所述第一调整指令将所述特定商品从当前位置派送到所述订购用户的地址对应的地理位置。
  21. 如权利要求12～20任一所述的方法，其特征在于，所述将所述多个地址信息组合形成一商品派送信息发送到所述第二数据处理设备之前，还包括：
    所述第一数据处理设备确定所述多个地址信息中最后派送所述特定商品的目标地址，并根据所述目标地址确定可销售所述特定商品的商店地址，将所述缺省地址更新为所述商店地址，并发送第二调整指令给所述第二数据处理设备；使得所述商品派送人员根据所述第二调整指令将所述特定商品派送到所述商店地址对应的商店。
  22. 如权利要求12～21任一所述的方法，其特征在于，所述根据用户的历史信息，确定潜在会购买特定商品的多个目标用户包括：
    所述第一数据处理设备利用加权计算和/或相似度计算方法对所述用户的历史信息进行计算，确定潜在会购买特定商品的多个目标用户。
  23. 一种数据处理设备，其特征在于，该数据处理设备生成商品派送信息，并且该数据处理设备可与第二数据处理设备交互数据，所述第二数据处理设备为商品派送人员提供所述商品派送信息，则该数据处理设备包括：
    目标确定单元，用于根据用户的历史信息，确定潜在会购买特定商品的多个目标用户；
    派发信息生成单元，用于获取所述多个目标用户对应的多个地址信息，并按照将所述多个地址信息组合形成一商品派送信息；
    发送单元，用于将所述商品派送信息发送到为商品派送人员提供所述商品派送信息的，使得第二数据处理设备对所述商品派送信息进行处理，并且商品派送人员能根据第二数据处理设备处理后的商品派送信息中包含的所述多个地址信息中的一个或多个将所述特定商品派送给所述多个目标用户中至少一个。
  24. 如权利要求23所述的数据处理设备，其特征在于，所述目标确定单元还用于判断设定的地理区域范围内潜在会购买所述特定商品的用户数是否 大于第一阈值，如果是，则将所述设定的地理区域范围内的潜在会购买所述特定商品的多个用户确定为所述目标用户。
  25. 如权利要求23所述的数据处理设备，其特征在于，派发信息生成单元还用于根据预设的参数设置获取到的多个地址信息的派送顺序。
  26. 如权利要求23所述的数据处理设备，其特征在于，当所述商品派送到所述多个地址信息其中一个对应的地址后，该数据处理设备还包括：
    第一调整单元，用于接收第二数据处理设备针对所述特定物品派送情况发送的反馈信息，并根据所述反馈信息向所述第二数据处理设备推送所述特定商品的新增信息。
  27. 如权利要求23所述的数据处理设备，其特征在于，该数据处理设备还包括：
    第二调整单元，用于将所述多个地址信息组合形成一商品派送信息发送到所述第二数据处理设备之前，确定所述多个地址信息中最后派送所述特定商品的目标地址，并根据所述目标地址确定可销售所述特定商品的商店地址，将所述缺省地址更新为所述商店地址，并发送第二调整指令给所述第二数据处理设备；使得所述商品派送人员根据所述第二调整指令将所述特定商品派送到所述商店地址对应的商店。
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