WO2021129531A1 - 一种资源分配方法、装置、设备、存储介质及计算机程序 - Google Patents

一种资源分配方法、装置、设备、存储介质及计算机程序 Download PDF

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WO2021129531A1
WO2021129531A1 PCT/CN2020/137518 CN2020137518W WO2021129531A1 WO 2021129531 A1 WO2021129531 A1 WO 2021129531A1 CN 2020137518 W CN2020137518 W CN 2020137518W WO 2021129531 A1 WO2021129531 A1 WO 2021129531A1
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visitors
type
resource allocation
data
visit
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PCT/CN2020/137518
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English (en)
French (fr)
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周雪琪
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北京市商汤科技开发有限公司
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Priority to JP2022539146A priority Critical patent/JP2023508172A/ja
Publication of WO2021129531A1 publication Critical patent/WO2021129531A1/zh

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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
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • 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
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • 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
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0269—Targeted advertisements based on user profile or attribute
    • G06Q30/0271—Personalized advertisement

Definitions

  • This application relates to a resource allocation method, device, equipment, storage medium and computer program.
  • This application provides a technical solution of a resource allocation method.
  • an embodiment of the present disclosure provides a resource allocation method, the method includes: obtaining visit data of objects visited within a preset time range; according to the visit data of the first type of object and the second type of object According to the visit data of the object, the proportional parameter is determined; the resource allocation method of at least part of the object is adjusted according to the proportional parameter and the basic data of the object; the resource allocation is performed according to the adjusted resource allocation method.
  • it further includes: determining the first type of object among the objects, wherein the object whose cumulative duration of the visit for the first time and/or up to a preset time point is less than the first time threshold is determined Is the first type of object; the second type of object is determined among the objects, where the non-first visit and/or the cumulative duration of visits up to the preset time point is greater than or equal to the second time threshold The object is determined to be the second type of object.
  • the visit data includes the number of visitors;
  • the ratio parameter includes at least one of the following: the number of visitors of the first type of object and the number of visitors of the second type of object Ratio; the ratio of the number of visitors of the second type of object to the number of visitors of the first type of object; the ratio of the number of visitors of the first type of object to the target number of visitors; the second type of object The ratio of the number of visitors to the target number of visitors; wherein, the target number of visitors includes the sum of the number of visitors of the first type of object and the number of visitors of the second type of object, or, The target number of visitors includes the total number of visitors within the preset time range.
  • the method before the acquisition of the visit data of the visited object within the preset time range, the method further includes: acquiring an image in real time; performing image recognition processing on the image to obtain an image recognition result;
  • the image recognition result includes facial features and/or human body characteristics
  • database matching is performed on the image recognition result;
  • the image template in the database is matched, the historical visit record stored in association with the image template is updated And basic data;
  • the image template in the database is not matched, the image recognition result is added as the image template of the corresponding object, and is combined with the collected basic data of the corresponding object and the newly-added historical visit record Associated storage.
  • the historical visit records and basic data are stored in association with each other in the form of tag information.
  • the adjusting at least part of the resource allocation mode of the object according to the ratio parameter and the basic data of the object includes: determining a target resource allocation mode that matches a preset condition; The ratio parameter and the target resource allocation method are used to adjust the resource allocation method of the at least part of the object; wherein the basic data of the at least part of the object meets the preset condition.
  • the adjusting the resource allocation method of at least part of the object according to the ratio parameter and the target resource allocation method includes: indicating the object of the second type in the ratio parameter When the visited data meets the first preset condition, determine the resource allocation method for the second-type object in the target resource allocation method; and/or, when the ratio parameter indicates the first In the case that the visited data of the type object meets a second preset condition, a resource allocation method for the first type object in the target resource allocation method is determined.
  • the resources include online resources and/or offline resources
  • the online resources include website-based service resources
  • the offline resources include physical store-based service resources
  • the adjustment Resource allocation methods include: adjusting online resource configuration data and/or offline resource configuration data.
  • the content of the online resource configuration data includes at least one of selling price, after-sales service, and resource configuration data push methods;
  • the content of the offline resource configuration data includes at least a receptionist or follower One of recruitment, selling price, after-sales service, and resource configuration data push method;
  • the resource configuration data push method includes at least the push time of resource configuration data, the push interval of two adjacent resource configuration data, and the push of resource configuration data One of the ways.
  • it further includes: evaluating the resource configuration data based on the ratio parameter; and adjusting the resource allocation method based on the evaluation result.
  • an embodiment of the present disclosure provides a resource allocation device, the device includes: an acquisition module for acquiring visit data of objects visited within a preset time range; and a determination module for acquiring visit data according to the first type The visit data of the object and the visit data of the second type of object determine the proportion parameter; the allocation module is used to adjust the resource allocation method of at least part of the object according to the proportion parameter and the basic data of the object, and according to The adjusted resource allocation method is used for resource allocation.
  • the determining module is configured to determine the first type of object among the objects, wherein the cumulative duration of the first visit and/or the visit up to a preset time point is less than the first time Threshold objects are determined to be the first type of objects; the second type of objects are determined in the objects, where the non-first visit and/or the cumulative duration of visits up to the preset time point is greater than or equal to the first An object with a second time threshold is determined as the second type of object.
  • the visit data includes the number of visitors;
  • the ratio parameter includes at least one of the following: the number of visitors of the first type of object and the number of visitors of the second type of object Ratio; the ratio of the number of visitors of the second type of object to the number of visitors of the first type of object; the ratio of the number of visitors of the first type of object to the target number of visitors; the second type of object The ratio of the number of visitors to the target number of visitors; wherein, the target number of visitors includes the sum of the number of visitors of the first type of object and the number of visitors of the second type of object, or, The target number of visitors includes the total number of visitors within the preset time range.
  • the acquisition module is configured to: acquire an image in real time; perform image recognition processing on the image to obtain an image recognition result; when the image recognition result includes facial features and/or human body features, Database matching is performed on the image recognition result; when the image template in the database is matched, the historical visit records and basic data stored in association with the image template are updated; when the image template in the database is not matched At this time, the image recognition result is added as the image template of the corresponding object, and is stored in association with the collected basic data of the corresponding object and the newly-added historical visit record.
  • the acquisition module associates and stores the historical visit records and basic data in the form of tag information.
  • the allocation module is configured to: determine a target resource allocation method that matches a preset condition; adjust the resource allocation method of the at least part of the object according to the proportional parameter and the target resource allocation method ; Wherein, the basic data of the at least part of the object meets the preset condition.
  • the allocation module is configured to determine the target resource allocation method when the ratio parameter indicates that the visited data of the second type object meets a first preset condition
  • the resource allocation method for the second-type object in the second-type object and/or, in the case that the ratio parameter indicates that the visited data of the first-type object meets a second preset condition, determine the target resource In the allocation manner, a resource allocation manner for the first type of object.
  • the resources include online resources and/or offline resources
  • the online resources include website-based service resources
  • the offline resources include physical store-based service resources
  • the allocation The module is used to: adjust online resource configuration data and/or offline resource configuration data.
  • the content of the online resource configuration data includes at least one of selling price, after-sales service, and resource configuration data push methods;
  • the content of the offline resource configuration data includes at least a receptionist or follower One of recruitment, selling price, after-sales service, and resource configuration data push method;
  • the resource configuration data push method includes at least the push time of resource configuration data, the push interval of two adjacent resource configuration data, and the push of resource configuration data One of the ways.
  • the allocation module is further configured to: evaluate the resource configuration data based on the proportional parameter; and adjust the resource allocation method based on the evaluation result.
  • embodiments of the present disclosure provide a resource allocation device, including: a memory, a processor, and a computer program stored on the memory and running on the processor, wherein the processor executes all The computer program implements the resource allocation method described in the embodiment of the present disclosure.
  • an embodiment of the present disclosure provides a storage medium storing a computer program, and when the computer program is executed by a processor, the processor executes the resource allocation method described in the embodiment of the present disclosure. .
  • the embodiments of the present disclosure provide a computer program, including computer executable code, which when the computer executable code runs on a device, causes the processor in the device to execute the method described in the embodiment of the present disclosure. Resource allocation method.
  • the technical solution provided by the embodiments of the present disclosure obtains the visit data of the objects visited within the preset time range; determines the scale parameter according to the visit data of the first type of object and the visit data of the second type of object; The proportion parameter and the basic data of the object are adjusted to at least part of the resource allocation mode of the object; the resource allocation is performed according to the adjusted resource allocation mode. In this way, the time spent in data sorting can be saved, that is, the time-consuming and labor-intensive problem caused by manual data sorting is solved.
  • the resource allocation method of at least part of the object can be adjusted, so that the limited resources can be adjusted.
  • Reasonable allocation; and resource allocation in accordance with the adjusted resource allocation method can further improve customer experience and sales conversion rate.
  • FIG. 1 is a schematic diagram of an implementation process of a resource allocation method provided by an embodiment of the disclosure
  • FIG. 2 is a schematic diagram of the implementation process of another resource allocation method provided by an embodiment of the disclosure.
  • FIG. 3 is a schematic diagram of a terminal side output object notification interface provided by an embodiment of the disclosure.
  • FIG. 4 is a schematic diagram of a data display interface provided by an embodiment of the disclosure.
  • FIG. 5 is a schematic diagram of the composition structure of a resource allocation device provided by an embodiment of the disclosure.
  • FIG. 6 is a schematic diagram of the composition structure of another resource allocation device provided by an embodiment of the disclosure.
  • the embodiments of the present disclosure can be applied to various electronic devices, which include but are not limited to fixed devices and/or mobile devices.
  • the fixed devices include, but are not limited to: personal computers (PC) or servers Etc.
  • the server may be a cloud server or an ordinary server.
  • the mobile device includes but is not limited to one or more of a mobile phone, a tablet computer, or a wearable device.
  • the embodiment of the present disclosure provides a resource allocation method. As shown in FIG. 1, the method mainly includes the following steps.
  • Step 101 Obtain visit data of objects visited within a preset time range.
  • Step 102 Determine a scale parameter based on the visit data of the first type of object and the visit data of the second type of object, and the scale parameter can reflect the visits of different types of objects within a preset time range.
  • Step 103 Adjust the resource allocation mode of at least some objects according to the proportional parameter and the basic data of the object, and perform resource allocation according to the adjusted resource allocation mode.
  • the preset time range may include a period of time starting from the start time and ending at the end time, such as one day, one week, one month, one quarter, six months, one year, etc., the preset time
  • the scope can be determined based on actual needs.
  • the embodiment of the present disclosure does not limit the setting method and specific value of the preset time range.
  • the end time is the time before the current time (may include the current time).
  • different classification standards can be used according to requirements to distinguish the first type of object and the second type of object among the objects visited within the preset time range.
  • the objects of the first type and the objects of the second type are divided according to whether they are the first visitor.
  • the first type of objects include objects that visit for the first time, that is, new customers;
  • the second type objects include objects that are not the first time to visit, that is, old customers. For example, if customer A visits the store for the first time, it is determined that customer A belongs to the first type of object; if customer B visits the store for the second time, it is determined that customer B belongs to the second type of object; if customer C visits for the third time The store also determines that customer C belongs to the second type of object.
  • the objects of the first type and the objects of the second type are divided according to the accumulated duration of visits.
  • the first type of object includes objects whose cumulative visit time is less than the first time threshold up to a preset time point;
  • the second type of objects includes objects whose cumulative visit time is greater than or equal to the second time threshold up to the preset time point Object.
  • the preset time point can be set as required, for example, within or before the preset time range.
  • the preset time range includes the start time point, the end time point of the preset time range, or any designated time point in between.
  • the first time threshold may be the same as or different from the second time threshold.
  • the first time threshold may be less than, equal to, or greater than the second time threshold.
  • customer A's accumulated visit time up to the preset time point is less than the first time threshold, then it is determined that customer A belongs to the first type of object; if customer B's accumulated visit time up to the preset time point is greater than or equal to the second time Threshold, it is determined that customer B belongs to the second type of object.
  • the purchase demand is expressed according to the length of the cumulative duration of the visit. For example, the shorter cumulative duration of the visit indicates lower purchase demand, and the longer the cumulative duration of the visit indicates higher purchase demand.
  • the cumulative duration of visits may not have a starting point, that is, the total cumulative duration of visits since the subject’s first visit, or it may be calculated from a second preset time point, which can be set in the above-mentioned preset time point as needed. Set before the time point.
  • the objects of the first type and the objects of the second type are divided according to whether they are the first visit and the accumulated duration of the visit.
  • the first type of object includes objects that have visited for the first time and the cumulative duration of the visit as of the preset time is less than the first time threshold;
  • the second type of objects includes the non-first visit and the cumulative duration of the visit as of the preset time is greater than Or an object equal to the second time threshold. For example, if client A is visiting for the first time, it is judged whether client A’s accumulated visit time up to the preset time point is less than the first time threshold.
  • client A is judged to belong to the first type of object; if client B is not For the first visit, it is judged whether the accumulative duration of client B's visit up to the preset time point is greater than or equal to the second time threshold, and if so, it is judged that client B belongs to the second type of object.
  • the first time threshold and the second time threshold are both preset time thresholds.
  • the above-mentioned time thresholds can be set in advance according to the time invested, cost, etc., and/or demand, and the setting method is not limited here.
  • the visit data is data that characterizes the information of the object, such as the number of visitors, the change trend of the number of visitors, and so on.
  • the scale parameter is used to reflect the visits of different types of objects within the preset time range. For example, if the visit data of the first type of object visited within the preset time range is the first number of visitors, and the visit data of the second type of object is the second number of visitors, the ratio parameter includes at least one of the following: The ratio of the first number of visitors to the second number of visitors; the ratio of the second number of visitors to the first number of visitors; the ratio of the first number of visitors to the target number of visitors; the second number of visitors to the target number of visitors The ratio of the number of people.
  • the target number of visitors includes the sum of the first number of visitors and the second number of visitors, or the target number of visitors includes the total number of visitors within the preset time range.
  • the ratio of the first number of visitors to the second number of visitors can reflect the ratio of the number of visitors of the first type of object to the second type of object within the preset time range. For example, if the number of first-time visitors is A1 and the number of non-first-time visitors is B1 within the preset time range, then the ratio of the number of first visitors to the number of second visitors is A1/B1. For another example, if within the preset time range, the number of visitors whose cumulative visit time up to the preset time point is less than the first time threshold is A2, and the number of visitors greater than or equal to the second time threshold is B2, then the first The ratio of the number of first visitors to the number of second visitors is A2/B2.
  • the ratio of the first number of visitors to the second number of visitors is A3/B3.
  • the ratio of the number of second visitors to the number of first visitors can reflect the ratio of the number of visitors of the second type of object to the first type of object within the preset time range. For example, if the number of first-time visitors is A1 and the number of non-first-time visitors is B1 within the preset time range, then the ratio of the number of second visitors to the number of first visitors is B1/A1. For another example, if within the preset time range, the number of visitors whose cumulative visit time up to the preset time point is less than the first time threshold is A2, and the number of visitors greater than or equal to the second time threshold is B2, then the first 2. The ratio of the number of visitors to the number of first visitors is B2/A2.
  • the number of visitors who visited for the first time and the cumulative duration of the visit up to the preset time point is less than the first time threshold is A3
  • the number of visitors whose cumulative duration is greater than or equal to the second time threshold is B3
  • the ratio of the second number of visitors to the first number of visitors is B3/A3.
  • the ratio of the number of first visitors to the target number of visitors can reflect the ratio of the number of visitors of the first type of object to the target object within the preset time range.
  • the number of visitors whose cumulative visit time up to the preset time point is less than the first time threshold is A2
  • the total number of visitors is Q
  • the number of first visitors accounts for the number of visitors
  • the total headcount ratio is A2/Q.
  • the number of visitors who visited for the first time and the cumulative duration of the visit as of the preset time point is less than the first time threshold is A3, and the total number of visitors is Q, then the first visit The ratio of the number of people to the total number of visitors is A3/Q.
  • the ratio of the number of first visitors to the target number of visitors can reflect the proportion of the first type of objects in the first type The ratio of the object to the sum of the second type of object. For example, if the number of first visitors is A1 and the number of non-first visitors is B1 within the preset time range, then the ratio of the number of first visitors to the sum of the number of first visitors and the number of second visitors is A1 /A1+B1.
  • the first The ratio of the number of first visitors to the sum of the number of first visitors and the number of second visitors is A2/A2+B2.
  • the number of visitors who visited for the first time and the cumulative duration of the visit up to the preset time point is less than the first time threshold is A3, and it is not the first time that visits and has visited until the preset time point
  • the number of visitors whose cumulative duration is greater than or equal to the second time threshold is B3. Then, the ratio of the number of first visitors to the sum of the number of first visitors and the number of second visitors is A3/A3+B3.
  • the ratio of the number of second visitors to the target number of visitors can reflect the ratio of the number of visitors of the second type of object to the target object within the preset time range.
  • the second number of visitors accounts for the number of visitors
  • the total headcount ratio is B2/Q.
  • the number of visitors who are not the first time and the cumulative duration of the visit up to the preset time point is greater than or equal to the second time threshold is B3, and the total number of visitors is Q, then the first 2.
  • the ratio of the number of visitors to the total number of visitors is B3/Q.
  • the ratio of the second number of visitors to the target number of visitors can reflect that the second number of visitors accounts for the first number of visitors.
  • the ratio of the number of visitors to the sum of the number of second visitors For example, if the number of first visitors is A1 and the number of non-first visitors is B1 within the preset time range, then the ratio of the number of second visitors to the sum of the number of first visitors and the number of second visitors is B1 /A1+B1.
  • the number of visitors whose cumulative visit time up to the preset time point is less than the first time threshold is A2
  • the number of visitors greater than or equal to the second time threshold is B2
  • the ratio of the number of visitors to the sum of the number of first visitors and the number of second visitors is B2/A2+B2.
  • the number of visitors who visited for the first time and the cumulative duration of the visit up to the preset time point is less than the first time threshold is A3
  • the number of visitors whose cumulative duration is greater than or equal to the second time threshold is B3
  • the ratio of the number of second visitors to the sum of the number of first visitors and the number of second visitors is B3/A3+B3.
  • the basic data is data used to characterize the characteristics of the object.
  • the basic data may include at least one of the following data: age, gender, occupation, education, income level, and so on.
  • At least some objects include: objects whose basic data meets a preset condition.
  • the preset conditions can be set in advance according to the investment time, cost, etc., and/or demand, and the setting method is not limited here.
  • at least part of the objects may include objects that generate valid data, such as objects whose cumulative visit time exceeds a certain time threshold, old customers, and contracted customers.
  • the resource allocation mode of at least some objects can be adjusted.
  • the ratio of new and old customers and the age group of 25 to 35 can be used as a preset condition to adjust the resource allocation mode of at least some objects whose basic data meets the preset condition.
  • the resource allocation method of at least part of the objects whose basic data meets the preset condition can be adjusted by combining the ratio of old and new customers and the male as a preset condition.
  • the resource allocation method can be adjusted in combination with the proportion of new customers in all targets and the income level of 300,000 or more as a preset condition.
  • the technical solution provided by the embodiments of the present disclosure obtains the visit data of the objects visited within the preset time range; determines the scale parameter according to the visit data of the first type object and the visit data of the second type object; according to the scale parameter And the basic data of the object, adjust the resource allocation method of at least part of the object; perform resource allocation according to the adjusted resource allocation method.
  • the time spent in data sorting can be saved, that is, the time-consuming and labor-intensive problem caused by manual data sorting is solved.
  • the resource allocation method of at least part of the object can be adjusted, which can deal with the limited Resources are allocated reasonably; and resource allocation in accordance with the adjusted resource allocation method can further improve customer experience and sales conversion rate.
  • the visit data of the objects visited within the preset time range before obtaining the visit data of the objects visited within the preset time range, it also includes: obtaining images in real time; performing image recognition processing on the images to obtain the image recognition results ;
  • the image recognition result includes facial features and/or human body features
  • database matching is performed on the image recognition results; when it matches the image template in the database, the historical visit records and basic data stored in association with the image template are updated;
  • the image template in the database is not matched, the image recognition result is added as the image template of the corresponding object and stored in association with the collected basic data of the corresponding object and the newly-added historical visit records.
  • images can be acquired in real time in a variety of ways.
  • an image sent by an image collector can be received, or a communicator can be used to receive images sent by other devices.
  • image recognition processing may be performed on the acquired image through the face recognition technology to obtain the facial feature recognition result of the image.
  • image recognition processing may be performed on the acquired image through human body recognition technology to obtain the human body feature recognition result of the image. This application does not specifically limit the face recognition technology and the human body recognition technology.
  • image recognition processing is performed on the acquired image, and when the image recognition result includes facial features and/or human body characteristics, database matching is performed on the image recognition result.
  • database matching is performed on the image recognition result.
  • the basic data and historical visit records can be stored in the form of tag information in whole or in part.
  • the label information corresponding to the matching image template can be determined.
  • the label information includes information for indicating whether the visit is the first time and the number of visits.
  • the image template includes but is not limited to a human body template or a face template;
  • the database includes but is not limited to a human body template library or a face template library.
  • the historical visit records of objects are stored in the database.
  • the historical visit record includes at least identification (ID) information and visit time information stored in association with the image template. For each object, an identifier is assigned; for the same object, only one identifier is assigned. In this way, by determining whether there is object identification information matching the image recognition result, it can be determined whether the currently visiting object is the first visit or the non-first visit.
  • the method further includes: when the image template is not matched, adding the image recognition result as the image template of the corresponding object, and associating it with the collected basic data of the corresponding object and the newly added historical visit record storage.
  • an image template of the corresponding object in response to the absence of an image template matching the object in the database, an image template of the corresponding object can be created in the database, and label information can be assigned to the object.
  • the label information includes information for indicating the first visit. In this way, when there is no matching image template, the image recognition result of the object is added to the database as the corresponding image template, which can supplement the database and facilitate subsequent queries when the object visits again.
  • adjusting the resource allocation mode of at least part of the object according to the proportional parameter and the basic data of the object includes: determining a target resource allocation method that matches a preset condition; adjusting at least part of the target resource allocation method according to the proportional parameter and the target resource allocation method.
  • the resource allocation method of the object wherein, at least part of the basic data of the object meets the preset condition.
  • the target resource allocation method can be obtained based on the historical allocation of basic data of the same type, so as to adjust the resource allocation method of at least some objects.
  • the resource allocation method of at least some objects can be adjusted more pertinently based on historical data, so as to allocate resources to at least some objects according to the adjusted resource allocation method, thereby helping to improve the customer experience and sales of at least some objects. Conversion rate.
  • adjusting the resource allocation method of at least some objects according to the proportional parameter and the target resource allocation method including:
  • the ratio parameter indicates that the visit data of the second type object meets the first preset condition, determine the resource allocation method for the second type object in the target resource allocation method; and/or, when the ratio parameter indicates the first type object In the case where the visited data meets the second preset condition, the resource allocation method for the first type of object in the target resource allocation method is determined.
  • the first preset condition is used to characterize the change of the visit data of the second type of object.
  • the first preset condition is used to indicate that the number is increasing or showing an upward trend; or it is used to indicate that the number is decreasing or showing a downward trend; or, it is used to indicate that the relative change is relatively stable; or, it is used to indicate that there is no change, that is, there is no change. trend.
  • the second preset condition is used to characterize the change of the visit data of the first type of object.
  • the second preset condition is used to indicate that the number is increasing or showing an upward trend; or it is used to indicate that the number is decreasing or showing a downward trend; or, it is used to indicate that the relative change is relatively stable; or it is used to indicate that there is no change, that is, there is no change trend. .
  • the first preset condition and the second preset condition will also be different.
  • the first preset condition is used to characterize the change in the visit data of the old customer
  • the second preset condition is used to Characterize the changes in the visit data of new customers.
  • the first type of object refers to the object whose accumulated visit time is less than the first time threshold up to the preset time point
  • the second type of object refers to the object whose accumulated visit time up to the preset time point is greater than or equal to the second
  • the first preset condition is used to characterize the change in the number of subjects whose accumulated visit time is greater than or equal to the second time threshold
  • the second preset condition is used to characterize the accumulated visit time is less than the first time Threshold changes in the number of objects.
  • the first type of object refers to the first visit and the accumulative duration of the visit as of the preset time point is less than the first time threshold
  • the second type of object refers to the non-first visit and up to the preset time
  • the first preset condition is used to characterize the change in the number of subjects whose cumulative duration of visits is greater than or equal to the second time threshold that is not the first visit
  • the second preset condition is used to characterize the change in the number of objects that have visited for the first time and whose cumulative visit time is less than the first time threshold.
  • resources include online resources and/or offline resources.
  • Online resources include website-based service resources; offline resources include physical store-based service resources.
  • the adjustment of the resource allocation method in step 103 includes: adjusting online resource configuration data and/or offline resource configuration data.
  • the content of the online resource configuration data includes at least one of selling price, after-sales service, and resource configuration data push mode.
  • the resource configuration data pushing method includes at least one of the pushing time of the resource configuration data, the pushing interval of two adjacent resource configuration data, and the way of pushing the resource configuration data.
  • online resource configuration data may include one or a combination of the following: product presentation position, presentation time, advertisement push content, TV broadcast and other content in the webpage.
  • product presentation position e.g., presentation time, advertisement push content, TV broadcast and other content in the webpage.
  • advertisement push content e.g., TV broadcast and other content in the webpage.
  • the specific content of the online resource configuration data is not limited here. Combining different scenarios and requirements, you can select the same or different online resource configuration data.
  • the content of the offline resource configuration data includes at least one of reception staff or follow-up personnel, selling price, after-sales service, and resource configuration data push methods.
  • the resource configuration data pushing method includes at least one of the pushing time of the resource configuration data, the pushing interval of two adjacent resource configuration data, and the way of pushing the resource configuration data.
  • offline resource configuration data can include one or a combination of the following: receptionists in physical stores, placement of billboards in physical stores, product placement in physical stores, and display objects in physical stores The frequency and time of the content.
  • it can also include more or less content than the above-mentioned examples, and the specific content of the offline resource configuration data is not limited here. Combining different scenarios and requirements, you can select the same or different offline resource configuration data.
  • online resource allocation data and/or offline resource allocation data are adjusted.
  • the content of adjusting online resource allocation data includes: lowering the price of the product, extending the warranty period, adding auxiliary gifts, increasing the strength of cash back, and increasing the frequency of message pushes.
  • adjustments to offline resource allocation data include: increasing the amount of cash back for new customers recommended by old customers, reducing product prices, extending the warranty period, increasing the intensity of gifts, and increasing the frequency of message pushes.
  • adjust online resource allocation data and/or offline resource allocation data for example, adjusting the content of online resource allocation data includes : Reduce the price of products, extend the warranty period, increase auxiliary gifts, increase cash back, and increase the frequency of message push; for example, the content of adjusting offline resource configuration data includes: replacing follow-up personnel and reducing product prices , Extend the warranty period, increase auxiliary gifts, increase cash back, and increase the frequency of message pushes.
  • step 103 includes: determining a consumer group based on basic data; determining the same resource allocation method for objects belonging to the same consumer group. Among them, determining the same resource allocation method for objects belonging to the same consumer group includes: determining the attributes of the consumer group based on basic data; and formulating a resource allocation data plan according to the attributes of the consumer group.
  • the consumer group is a group that can characterize the corresponding attributes of the object. For example, the group is gender, age group, occupation, geographic location, and so on.
  • formulating a resource configuration data plan includes: matching, flowing, and reorganizing the resource configuration data within the scope of quantity, time, and space.
  • a reasonable adjustment plan for resource configuration data can be given according to the attributes of the consumer group of the object, which is conducive to targeted work and services according to the adjustment plan for resource configuration data. This means that, based on the results of the attributes of consumer groups, and lock in the core factors affecting transaction volume, rationally plan the resource allocation method based on the target product to further improve the customer experience and sales conversion rate.
  • step 103 further includes: evaluating the resource configuration data based on the proportional parameter to obtain the evaluation result of the resource configuration data; and adjusting the resource allocation method based on the evaluation result.
  • the resource configuration data may be resource configuration data related to the sales target product activity. For example, it is used to reflect the data corresponding to each resource in the resource allocation plan adopted for the target product.
  • the resource configuration data includes, but is not limited to, one or a combination of multiple configurations, such as quantity configuration, time configuration, space configuration, personnel configuration, and information network configuration.
  • the evaluation result can be used to reflect the impact of the current resource allocation after a period of time.
  • the evaluation result includes at least two levels, the types of resource configuration data to be adjusted corresponding to different levels are different, and/or the adjustment methods of resource configuration data corresponding to different levels are different. In this way, by giving the evaluation result of the resource allocation data, it is helpful to subsequently provide an adjustment plan for the resource allocation data based on the evaluation result, thereby helping the staff to perform targeted work and services according to the adjustment plan, thereby increasing passenger flow.
  • adjusting the resource allocation method based on the evaluation result includes: when the evaluation result is the first evaluation result, the first evaluation result indicates that the first type of object has a downward trend, and the content of the resource configuration data is adjusted to increase the first evaluation result.
  • the number of visitors to a type of object, and the resource configuration data includes online resource configuration data and/or offline resource configuration data. In this way, it is helpful for staff to carry out targeted work and services according to the adjusted resource allocation data plan, thereby increasing the number of visitors to the first type of objects.
  • the evaluation result is the second evaluation result
  • the second evaluation result indicates that the second type of object is on a downward trend
  • the content of the resource allocation data is adjusted to increase the number of visitors to the second type of object.
  • the resource allocation data includes the line Upstream resource configuration data and/or offline resource configuration data. In this way, it is helpful for the staff to carry out targeted work and services according to the adjusted resource allocation data plan, thereby increasing the number of visitors of the second type of objects.
  • the proportional parameter can effectively reflect whether the resource configuration data of the target product is reasonable, the evaluation result is more targeted, that is, the analysis of the resource configuration data is performed only for the target product.
  • the evaluation result of the resource configuration data of the target product can be obtained based on the obtained proportional parameter, so that the resource configuration data for the target product can be reasonably adjusted based on the evaluation result, that is, the resource configuration situation. Therefore, based on the results of data sorting and locking the core factors that affect the number of visits, rationally plan the resource allocation data based on the target product to further improve the customer experience and sales conversion rate.
  • the method further includes: when the image template is matched and the tag information indicates that the object is not the first visit, determining the receptionist associated with the object The identification information; the label information of the object and the identification information of the receptionist are sent to the electronic device, so that the electronic device displays the label information of the object and the identification information of the receptionist.
  • This application uses the feature analysis of the acquired images to determine the way of assigning the old customers to the reception staff before. It helps to improve the accuracy rate and standardize the sales reception process.
  • the method further includes: when the tag information characterizes the object as the first visit, obtaining the identification information of the reception personnel assigned to the object; The association relationship between the identification information of the object and the identification information of the receptionist is stored.
  • the receptionist who received the object last time can be quickly determined when the object next visits, thereby helping the object to visit each time.
  • the same receptionist is responsible for following up and serving the object.
  • obtaining the identification information of the receptionist allocated to the object may include: receiving the identification information of the receptionist allocated to the object sent by the receiving terminal. In this way, it is possible to assign receptionists to the first-time visitors based on the assignment information input by the management personnel on the terminal side.
  • acquiring the identification information of the receptionist assigned to the object may include: allocating the identification information of the receptionist to the object based on the number of online terminals and/or the working status reported by the online terminal. In this way, the allocation can be made quickly according to the number of online terminals and/or the working status reported by the online terminals, and the reception staff can be reasonably allocated to the objects.
  • the above method may be executed by a server, where the server may be a cloud server and/or a front-end server.
  • the above method is implemented by a front-end server (such as an all-in-one video machine) and a cloud server.
  • the front-end server performs face and human tracking on the acquired image to obtain the face and human tracking results, and based on the quality of the face and/or human image, determines which image information is based on for recognition, and then sends the determined image to the cloud server Image information.
  • the cloud server After receiving the image information sent by the front-end server, the cloud server queries the corresponding database based on the received image information, obtains the recognition result, and sends the corresponding various processing results to the terminal, such as the tag information of the object and the identification information of the receptionist , The evaluation result of the resource configuration data, the adjustment plan of the resource configuration data, but the embodiment of the present disclosure does not limit this.
  • the method may further include the following steps:
  • Step 201 Receive the tag information of the object and the identification information of the receptionist associated with the object when the tag information indicates that the object is not visiting for the first time;
  • Step 202 Display the tag information of the object and the identification information of the receptionist.
  • the label information of the object and the identification information of the receptionist who receives the object can be provided, so that the terminal user can know the label information of the current object in time, and it is convenient to allocate the receptionist according to the label information, so as to further improve the customer experience and sales conversion rate.
  • the method further includes: obtaining and displaying identification information of the receptionist assigned to the object when the tag information characterizes the object as the first visit; sending the identification information of the receptionist assigned to the object to the server .
  • the terminal obtains the identification information of the receptionist assigned to the object, and displays the identification information of the receptionist.
  • the way for the terminal to obtain the identification information is, for example, manual input by the terminal user or automatic distribution by the server. In this way, the rapid distribution of reception tasks can be realized, which is beneficial for the staff to perform targeted work and services according to the distribution information, and improve work efficiency.
  • the method further includes: displaying tag information of the object and identification information of the receptionist in the object notification interface. In this way, it is convenient for the terminal user to know the information of the object and the receptionist in time through the object notification interface.
  • the method further includes: obtaining the input query condition, the query condition includes at least a preset time range; and sending the query condition to the server.
  • the method can provide the terminal with the label information of the object and the identification information of the receptionist that is compatible with the query conditions, which helps to realize the rapid distribution of reception tasks, and is conducive to the targeted work and service of the staff according to the distribution information, and improves customers Experience and sales conversion rate.
  • FIG. 3 is a schematic diagram of a terminal side output object notification interface provided by an embodiment of the disclosure.
  • the label information of each object is displayed on the object notification interface, such as the first visit, the Nth visit, and N is a positive integer greater than or equal to 2.
  • the identifier of the receptionist responsible for receiving each object is also displayed on the notification interface of the object.
  • information such as whether each object has decision-making power can also be displayed on the object notification interface.
  • the store front desk and sales staff can know who is responsible for the follow-up of each object, and it is convenient for the store front desk to recommend reception staff for different objects based on the information displayed in the object notification interface, which helps standardize the sales reception process .
  • FIG. 4 is a schematic diagram of a data display interface provided by an embodiment of the disclosure.
  • the display interface shows the popularity of the store models, as well as other data such as the number of real-time passenger flow, the proportion of new and old customers, age distribution, and gender distribution.
  • 4S store sales and stores can detect the interest of the object on each model, combined with store model promotion needs and marketing strategies, and provide data support for the placement of models in the 4S store and feedback on marketing activities.
  • 4S store sales and stores can detect the interest of the object on each model, combined with store model promotion needs and marketing strategies, and provide data support for the placement of models in the 4S store and feedback on marketing activities.
  • regional companies, distributors and OEMs they can remotely know the degree of attention of various store target groups to each model without leaving home, so as to support operational decision-making and evaluation of sales/store work effects.
  • an embodiment of the present disclosure provides a resource allocation device applied to electronic equipment. As shown in FIG. 5, the device includes:
  • the obtaining module 10 is used to obtain visit data of objects visited within a preset time range
  • the determining module 20 is used to determine the scale parameter according to the visit data of the first type object and the visit data of the second type object;
  • the allocation module 30 is configured to adjust the resource allocation mode of at least some objects according to the proportional parameter and the basic data of the object, and perform resource allocation according to the adjusted resource allocation mode.
  • the determining module 20 may be used to determine the first type of object and the second type of object among the objects visited within the preset time range.
  • the first type of objects include objects that have visited for the first time, and/or objects whose cumulative duration of visits up to a preset time point is less than the first time threshold;
  • the second type of objects include objects that have not visited for the first time, and/ Or up to the preset time point to visit objects whose cumulative duration is greater than or equal to the second time threshold.
  • the first time threshold may be less than, equal to, or greater than the second time threshold.
  • the acquisition module 10 is configured to: acquire images in real time; perform image recognition processing on the images to obtain image recognition results; when the image recognition results include facial features and/or human body features, the image recognition results Perform database matching; when matching the image template in the database, update the historical visit records and basic data stored in association with the image template; when it does not match the image template in the database, add the image recognition result as the image template of the corresponding object , And store it in association with the collected basic data of the corresponding object and the newly-added historical visit records. Further, the acquisition module 10 may store historical visit records and basic data in the form of tag information in association with each other.
  • the allocation module 30 is configured to: determine a target resource allocation method that matches a preset condition; adjust the resource allocation method of at least part of the object according to the proportional parameter and the target resource allocation method; The basic data meets the preset condition.
  • the allocation module 30 is configured to determine the resource allocation for the second-type object in the target resource allocation method when the ratio parameter indicates that the visit data of the second-type object meets the first preset condition Method; and/or, in the case where the ratio parameter indicates that the visit data of the first type object meets the second preset condition, determine the resource allocation method for the first type object in the target resource allocation method.
  • the visit data includes the number of visitors
  • the proportional parameter includes at least one of the following: the ratio of the number of visitors of the first type of object to the number of visitors of the second type of object; the number of visitors of the second type of object and the number of visitors The ratio of the number of visitors of the first type of object; the ratio of the number of visitors of the first type of object to the target number of visitors; the ratio of the number of visitors of the second type of object to the target number of visitors.
  • the target number of visitors includes the sum of the number of visitors of the first type of object and the number of visitors of the second type of object, or the target number of visitors includes the total number of visitors within the preset time range.
  • resources include online resources and/or offline resources
  • online resources include website-based service resources
  • offline resources include physical store-based service resources.
  • the allocation module 30 is used to adjust online resource configuration data and/or offline resource configuration data.
  • the content of online resource configuration data includes at least one of selling price, after-sales service, and resource configuration data push methods
  • the content of offline resource configuration data includes at least reception staff or follow-up personnel, sales One of price, after-sales service, and resource configuration data push methods
  • resource configuration data push methods include at least one of the push time of resource configuration data, the push interval of two adjacent resource configuration data, and the way to push resource configuration data .
  • the device further includes: a communication module 40 (not shown in FIG. 5), which is used to send the tag information of the object and the identification information of the receptionist to the terminal, so that the terminal displays the tag information and the identification information of the object. Identification information of the reception staff.
  • each processing module in the resource allocation device shown in FIG. 5 may be set in a server, and its implementation functions can be understood with reference to the relevant description of the foregoing resource allocation method. And it can be realized by a program running on a processor, or it can be realized by a specific logic circuit.
  • the specific structures of the above-mentioned acquisition module 10, determination module 20, distribution module 30, and communication module 40 can all correspond to a processor.
  • the specific structure of the processor can be a central processing unit (CPU, Central Processing Unit), a microprocessor (MCU, Micro Controller Unit), a digital signal processor (DSP, Digital Signal Processing), or a programmable logic device (PLC, Programmable Logic). Controller) and other electronic components or collections of electronic components with processing functions.
  • the processor includes executable code, the executable code is stored in a storage medium, and the processor can be connected to the storage medium through a communication interface such as a bus. When performing the corresponding functions of the specific units, it reads and runs from the storage medium. Executable code.
  • the part of the storage medium for storing executable code is preferably a non-transitory storage medium.
  • the resource allocation device provided by the embodiment of the present disclosure can save time spent in data sorting, that is, it solves the problem of time-consuming and labor-intensive data sorting caused by manual data sorting.
  • the resource allocation method of at least part of the object can be adjusted, which can deal with the limited Resources are allocated reasonably.
  • the embodiment of the present disclosure also records a resource allocation device.
  • the device includes a memory, a processor, and a computer program stored on the memory and running on the processor.
  • the processor implements any of the foregoing technical solutions when the computer program is executed. Provide resource allocation method.
  • the processor executes the computer program, it realizes: obtain the visit data of the objects visited within the preset time range; determine the ratio according to the visit data of the first type of object and the visit data of the second type of object Parameters; adjust the resource allocation method of at least part of the object according to the proportional parameter and the basic data of the object; perform resource allocation according to the adjusted resource allocation method.
  • the processor executes the computer program, it is realized that the first type of object is determined among the objects visited within the preset time range, where the accumulative duration of the first visit and/or up to the preset time point is less than
  • the object with the first time threshold is determined to be the first type of object
  • the second type of object is determined from the objects visited within the preset time range, where the non-first visit and/or the cumulative duration of the visit up to the preset time point is greater than
  • An object equal to or equal to the second time threshold is determined to be the second type of object.
  • the first time threshold may be less than, equal to, or greater than the second time threshold.
  • the processor executes the computer program, it realizes: acquiring images in real time; performing image recognition processing on the images to obtain image recognition results; when the image recognition results include facial features and/or human body features, performing image recognition results Database matching; when it matches the image template in the database, update the historical visit records and basic data stored in association with the image template; when it does not match the image template in the database, add the image recognition result as the image template of the corresponding object, And it is stored in association with the collected basic data of the corresponding object and the newly-added historical visit records.
  • the processor executes the computer program, it realizes: determining the target resource allocation method that matches the preset condition; adjusting the resource allocation method of at least part of the objects according to the proportional parameter and the target resource allocation method; The basic data meets the preset condition.
  • the processor executes the computer program, it is realized: when the ratio parameter indicates that the visit data of the second type object meets the first preset condition, determine the resource allocation for the second type object in the target resource allocation method Method; and/or, in the case where the ratio parameter indicates that the visit data of the first type object meets the second preset condition, determine the resource allocation method for the first type object in the target resource allocation method.
  • the visit data includes the number of visitors
  • the ratio parameter includes at least one of the following: the ratio of the number of visitors of the first type of object to the number of visitors of the second type of object; the number of visitors of the second type of object The ratio of the number of visitors to the number of visitors of the first type of object; the ratio of the number of visitors of the first type of object to the target number of visitors; the ratio of the number of visitors of the second type of object to the target number of visitors; among them, the target is The number of visitors includes the sum of the number of visitors of the first type of object and the number of visitors of the second type of object, or the target number of visitors includes the total number of visitors within the preset time range.
  • the processor when the processor executes the computer program, it implements: adjusting online resource configuration data and/or offline resource configuration data; online resources include website-based service resources; offline resources include physical store-based service resources.
  • the content of online resource configuration data includes at least one of selling price, after-sales service, and resource configuration data push mode
  • the content of offline resource configuration data includes at least reception staff Or one of follow-up personnel, selling price, after-sales service, and resource configuration data push methods
  • the resource configuration data push method includes at least the push time of resource configuration data, the push interval of two adjacent resource configuration data, and the push of resource configuration data One of the ways.
  • the resource allocation device provided by the embodiments of the present disclosure can save time spent in data sorting, that is, it solves the problem of time-consuming and labor-intensive data sorting caused by manual data sorting.
  • the resource allocation method of at least part of the object can be adjusted, which can deal with the limited Resources are allocated reasonably.
  • the device may further include: a receiving module 50 for receiving tag information of an object, and when the tag information indicates that the object is not visiting for the first time, and The identification information of the receptionist associated with the object; the display processing module 60 is used to display the tag information of the object and the identification information of the receptionist.
  • the device further includes: an acquiring module 70 (not shown in FIG. 6), configured to acquire and display the receptionist assigned to the object when the tag information indicates that the object is the first visitor The identification information; the sending processing module 80 (not shown in FIG. 6) is used to send the identification information of the receptionist assigned to the object to the server.
  • the display processing module 60 is configured to display the tag information of each object and the identification information of the receptionist in the object notification interface.
  • each processing module in the resource allocation device shown in FIG. 6 may be set in a terminal such as a personal computer, a mobile phone, a tablet computer, or a wearable device, etc.
  • the realization function can be understood with reference to the relevant description of the aforementioned resource allocation method.
  • the function of each processing unit in the resource allocation device shown in FIG. 6 can be realized by a program running on a processor, or can be realized by a specific logic circuit.
  • the foregoing specific structures of the receiving module 50, the display processing module 60, the acquiring module 70, and the sending processing module 80 can all correspond to processors.
  • the specific structure of the processor may be an electronic component or a collection of electronic components with processing functions such as a CPU, MCU, DSP, or PLC.
  • the processor includes executable code, the executable code is stored in a storage medium, and the processor can be connected to the storage medium through a communication interface such as a bus. When performing the corresponding functions of the specific units, it reads and runs from the storage medium. Executable code.
  • the part of the storage medium for storing executable code is preferably a non-transitory storage medium.
  • the resource allocation device in the embodiment of the present disclosure facilitates the terminal user to know the tag information of the currently visiting object in time, and facilitates the allocation of reception staff according to the tag information, so as to further improve customer experience and sales conversion rate.
  • the embodiment of the present disclosure also records a resource allocation device.
  • the device includes a memory, a processor, and a computer program stored on the memory and running on the processor.
  • the processor implements any of the foregoing technical solutions when the computer program is executed. Provide resource allocation method.
  • the processor executes the computer program, it realizes: receiving the tag information of the object, and identifying information of the receptionist associated with the object when the tag information indicates that the object is a non-first visit; displaying the object's Label information and identification information of the reception staff.
  • the processor executes the computer program, it realizes: when the tag information characterizes the object as the first visit, obtain and display the identification information of the receptionist assigned to the object; send the reception assigned to the object to the server Identification information of the person.
  • the processor executes the computer program, it is realized that the tag information of each object and the identification information of the receptionist are displayed in the object notification interface.
  • the resource allocation device provided by the embodiments of the present disclosure facilitates terminal users to know the tag information of the currently visiting object in time, and facilitates the allocation of receptionists according to the tag information, so as to further improve customer experience and sales conversion rate.
  • the embodiments of the present disclosure also record a computer storage medium in which computer-executable instructions are stored, and the computer-executable instructions are used to execute the resource allocation method described in each of the foregoing embodiments.
  • the resource allocation method provided by any of the foregoing technical solutions can be implemented.
  • the embodiments of the present disclosure also record a computer program, including computer executable code.
  • the processor in the device can implement the resource allocation method provided by any one of the foregoing technical solutions.
  • the disclosed device and method may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division, and there may be other divisions in actual implementation, such as: multiple units or components can be combined, or It can be integrated into another system, or some features can be ignored or not implemented.
  • the coupling, or direct coupling, or communication connection between the components shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms. of.
  • the units described above as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • the functional units in the embodiments of the present application can be all integrated into one processing unit, or each unit can be individually used as a unit, or two or more units can be integrated into one unit;
  • the unit can be implemented in the form of hardware, or in the form of hardware plus software functional units.
  • the foregoing program can be stored in a computer readable storage medium.
  • the execution includes The steps of the foregoing method embodiment; and the foregoing storage medium includes: removable storage devices, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks, etc.
  • the medium storing the program code.
  • the aforementioned integrated unit of the present application is implemented in the form of a software function module and sold or used as an independent product, it may also be stored in a computer readable storage medium.
  • the computer software product is stored in a storage medium and includes several instructions for A computer device (which may be a personal computer, a server, or a network device, etc.) is allowed to execute all or part of the methods described in the various embodiments of the present application.
  • the aforementioned storage media include: removable storage devices, ROM, RAM, magnetic disks, or optical disks and other media that can store program codes.

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Abstract

一种资源分配方法、装置、设备、存储介质及计算机程序。其中，所述的资源分配方法包括：获取预设时间范围内到访的对象的到访数据（101）；根据第一类型对象的到访数据以及第二类型对象的到访数据，确定比例参数（102）；根据所述比例参数以及所述对象的基础数据，调整至少部分对象的资源分配方式；按照调整后的资源分配方式进行资源分配（103）。

Description

一种资源分配方法、装置、设备、存储介质及计算机程序
交叉引用声明
本申请要求于2019年12月27日提交中国专利局的申请号为201911380409.X的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及一种资源分配方法、装置、设备、存储介质及计算机程序。
背景技术
实际使用中，诸如门店等场所，往往是人为整理到访客户即对象的数据，以基于整理后的数据对当前场所内的资源进行分配。然而，现有的资源分配方式不仅耗时耗力，且很难对有限的资源进行合理分配。因此，亟需一种资源分配方法，以解决上述技术问题。
发明内容
本申请提供一种资源分配方法的技术方案。
第一方面，本公开实施例提供了一种资源分配方法，所述方法包括：获取预设时间范围内到访的对象的到访数据；根据第一类型对象的到访数据以及第二类型对象的到访数据，确定比例参数；根据所述比例参数以及所述对象的基础数据，调整至少部分所述对象的资源分配方式；按照调整后的资源分配方式进行资源分配。
上述方案中，可选地，还包括：在所述对象中确定所述第一类型对象，其中将首次到访和/或截至到预设时间点到访累计时长小于第一时间阈值的对象确定为所述第一类型对象；在所述对象中确定所述第二类型对象，其中将非首次到访和/或截至到所述预设时间点到访累计时长大于或等于第二时间阈值的对象确定为所述第二类型对象。
上述方案中，可选地，所述到访数据包括到访人数；所述比例参数包括如下至少一项：所述第一类型对象的到访人数与所述第二类型对象的到访人数的比值；所述第二类型对象的到访人数与所述第一类型对象的到访人数的比值；所述第一类型对象的到访人数与目标到访人数的比值；所述第二类型对象的到访人数与所述目标到访人数的比值；其中，所述目标到访人数包括所述第一类型对象的到访人数和所述第二类型对象的到访人数之和，或是，所述目标到访人数包括所述预设时间范围内到访总人数。
上述方案中，可选地，在所述获取预设时间范围内到访的对象的到访数据之前，还包括：实时获取图像；对所述图像进行图像识别处理，得到图像识别结果；当所述图像识别结果包括人脸特征和/或人体特征时，对所述图像识别结果进行数据库匹配；当匹配到所述数据库中的图像模板时，更新与所述图像模板关联存储的历史到访记录和基础数据；当未匹配到所述数据库中的图像模板时，添加所述图像识别结果作为相应对象的图像模板，并与所采集的所述相应对象的基础数据和新增的历史到访记录关联存储。
上述方案中，可选地，以标签信息的形式关联存储所述历史到访记录和基础数据。
上述方案中，可选地，所述根据所述比例参数以及所述对象的基础数据，调整至少 部分所述对象的资源分配方式,包括：确定与预设条件匹配的目标资源分配方式；根据所述比例参数以及所述目标资源分配方式，调整所述至少部分所述对象的资源分配方式；其中，所述至少部分所述对象的基础数据满足所述预设条件。
上述方案中，可选地，所述根据所述比例参数以及所述目标资源分配方式，调整所述至少部分所述对象的资源分配方式，包括：在所述比例参数指示所述第二类型对象的所述到访数据满足第一预设条件的情况下，确定所述目标资源分配方式中针对所述第二类型对象的资源分配方式；和/或，在所述比例参数指示所述第一类型对象的所述到访数据满足第二预设条件的情况下，确定所述目标资源分配方式中针对所述第一类型对象的资源分配方式。
上述方案中，可选地，所述资源包括线上资源和/或线下资源，所述线上资源包括基于网站的服务资源，所述线下资源包括基于实体店的服务资源；所述调整资源分配方式，包括：调整线上资源配置数据和/或线下资源配置数据。
上述方案中，可选地，所述线上资源配置数据的内容至少包括售价、售后服务、资源配置数据推送方式中的一项；所述线下资源配置数据的内容至少包括接待人员或跟进人员、售价、售后服务、资源配置数据推送方式中的一项；所述资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的一项。
上述方案中，可选地，还包括：基于所述比例参数，对资源配置数据进行评价；基于评价结果调整所述资源分配方式。
第二方面，本公开实施例提供了一种资源分配装置，所述装置包括：获取模块，用于获取预设时间范围内到访的对象的到访数据；确定模块，用于根据第一类型对象的到访数据以及第二类型对象的到访数据，确定比例参数；分配模块，用于根据所述比例参数以及所述对象的基础数据，调整至少部分所述对象的资源分配方式，并按照调整后的资源分配方式进行资源分配。
上述方案中，可选地，所述确定模块用于：在所述对象中确定所述第一类型对象，其中将首次到访和/或截至到预设时间点到访累计时长小于第一时间阈值的对象确定为所述第一类型对象；在所述对象中确定所述第二类型对象，其中将非首次到访和/或截至到所述预设时间点到访累计时长大于或等于第二时间阈值的对象确定为所述第二类型对象。
上述方案中，可选地，所述到访数据包括到访人数；所述比例参数包括如下至少一项：所述第一类型对象的到访人数与所述第二类型对象的到访人数的比值；所述第二类型对象的到访人数与所述第一类型对象的到访人数的比值；所述第一类型对象的到访人数与目标到访人数的比值；所述第二类型对象的到访人数与所述目标到访人数的比值；其中，所述目标到访人数包括所述第一类型对象的到访人数和所述第二类型对象的到访人数之和，或是，所述目标到访人数包括所述预设时间范围内到访总人数。
上述方案中，可选地，所述获取模块用于：实时获取图像；对所述图像进行图像识别处理，得到图像识别结果；当所述图像识别结果包括人脸特征和/或人体特征时，对所述图像识别结果进行数据库匹配；当匹配到所述数据库中的图像模板时，更新与所述图像模板关联存储的历史到访记录和基础数据；当未匹配到所述数据库中的图像模板时， 添加所述图像识别结果作为相应对象的图像模板，并与所采集的所述相应对象的基础数据和新增的历史到访记录关联存储。
上述方案中，可选地，所述获取模块以标签信息的形式关联存储所述历史到访记录和基础数据。
上述方案中，可选地，所述分配模块用于：确定与预设条件匹配的目标资源分配方式；根据所述比例参数以及所述目标资源分配方式，调整所述至少部分对象的资源分配方式；其中，所述至少部分对象的基础数据满足所述预设条件。
上述方案中，可选地，所述分配模块用于：在所述比例参数指示所述第二类型对象的所述到访数据满足第一预设条件的情况下，确定所述目标资源分配方式中针对所述第二类型对象的资源分配方式；和/或，在所述比例参数指示所述第一类型对象的所述到访数据满足第二预设条件的情况下，确定所述目标资源分配方式中针对所述第一类型对象的资源分配方式。
上述方案中，可选地，所述资源包括线上资源和/或线下资源，所述线上资源包括基于网站的服务资源，所述线下资源包括基于实体店的服务资源；所述分配模块用于：调整线上资源配置数据和/或线下资源配置数据。
上述方案中，可选地，所述线上资源配置数据的内容至少包括售价、售后服务、资源配置数据推送方式中的一项；所述线下资源配置数据的内容至少包括接待人员或跟进人员、售价、售后服务、资源配置数据推送方式中的一项；所述资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的一项。
上述方案中，可选地，所述分配模块还用于：基于所述比例参数，对资源配置数据进行评价；基于评价结果调整所述资源分配方式。
第三方面，本公开实施例提供了一种资源分配设备，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，其中，所述处理器执行所述计算机程序时实现本公开实施例所述的资源分配方法。
第四方面，本公开实施例提供了一种存储介质，所述存储介质存储有计算机程序，所述计算机程序被处理器执行时，使得所述处理器执行本公开实施例所述的资源分配方法。
第五方面，本公开实施例提供了一种计算机程序，包括计算机可执行代码，当所述计算机可执行代码在设备上运行时，使得所述设备中的处理器执行本公开实施例所述的资源分配方法。
本公开实施例提供的技术方案，获取预设时间范围内到访的对象的到访数据；根据第一类型对象的到访数据以及第二类型对象的到访数据，确定比例参数；根据所述比例参数以及所述对象的基础数据，调整至少部分所述对象的资源分配方式；按照调整后的资源分配方式进行资源分配。如此，能够节省数据整理所耗费的时间，即解决了因人为进行数据整理而造成的耗时耗力的问题。并且，根据预设时间范围内第一类型对象的到访数据以及第二类型对象的到访数据所确定的比例参数，以及基础数据，调整至少部分对象的资源分配方式，能够对有限的资源进行合理分配；而按照调整后的资源分配方式进行资源分配，能进一步提高客户体验和销售转换率。
附图说明
图1为本公开实施例提供的一种资源分配方法的实现流程示意图；
图2为本公开实施例提供的另一种资源分配方法的实现流程示意图；
图3为本公开实施例提供的终端侧输出对象通知界面的示意图；
图4为本公开实施例提供的数据展示界面的示意图；
图5为本公开实施例提供的一种资源分配装置的组成结构示意图；
图6为本公开实施例提供的另一种资源分配装置的组成结构示意图。
具体实施方式
下面结合附图和具体实施例对本申请的技术方案进一步详细阐述。
为了使本技术领域的人员更好地理解本公开实施例方案，下面将结合本公开实施例中的附图，对本公开实施例中的技术方案进行清楚地描述，显然，所描述的实施例仅仅是本申请一部分的实施例，而不是全部的实施例。
本申请的说明书实施例和权利要求书及上述附图中的术语“第一”、“第二”、和“第三”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元。方法、***、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
本公开实施例可以应用于各种电子设备中，该电子设备包括但不限于固定设备和/或移动设备，例如，所述固定设备包括但不限于：个人电脑(Personal Computer，PC)、或者服务器等，所述服务器可以是云服务器或普通服务器。所述移动设备包括但不限于：手机、平板电脑或可穿戴式设备中的一项或是多项。
本公开实施例提供一种资源分配方法，如图1所示，所述方法主要包括以下步骤。
步骤101、获取预设时间范围内到访的对象的到访数据。
步骤102、根据第一类型对象的到访数据以及第二类型对象的到访数据，确定比例参数，比例参数可以反映预设时间范围内不同类型对象的到访情况。
步骤103、根据比例参数以及对象的基础数据，调整至少部分对象的资源分配方式，并按照调整后的资源分配方式进行资源分配。
在本公开实施例中，预设时间范围可以包括以起始时间为开始、以终止时间为截至的一段时间，例如一天、一周、一月、一季度、半年、一年等，该预设时间范围可以基于实际需求确定。本公开实施例对预设时间范围的设置方式、具体取值等不做限定。需要说明的是，终止时间为当前时刻之前(可以包括当前时刻)的时间。
在本公开实施例中，可根据需求采用不同的划分标准，来区分预设时间范围内到访的对象中的第一类型对象与第二类型对象。
在一些实施例中，第一类型对象和第二类型对象是按照是否为首次到访划分的。具体的，第一类型对象包括首次到访的对象，即新客户；第二类型对象包括非首次到访的对象，即老客户。比如，若客户甲第一次到访门店，则判定客户甲属于第一类型对象； 若客户乙第二次到访门店，则判定客户乙属于第二类型对象；若客户丙第三次到访门店，则也判定客户丙属于第二类型对象。
在另一些实施例中，第一类型对象和第二类型对象是按照到访累计时长划分的。具体的，第一类型对象包括截至到预设时间点，到访累计时长小于第一时间阈值的对象；第二类型对象包括截至到预设时间点，到访累计时长大于或等于第二时间阈值的对象。其中，预设时间点可以根据需要设置，例如在预设时间范围之内或之前。进一步的，预设时间范围之内包括预设时间范围的起始时间点、结束时间点或其间的任一指定时间点。其中，第一时间阈值可以与第二时间阈值相同或不同，例如第一时间阈值可以小于、等于或大于第二时间阈值。比如，若客户甲截至到预设时间点到访累计时长小于第一时间阈值，则判定客户甲属于第一类型对象；若客户乙截至到预设时间点到访累计时长大于或等于第二时间阈值，则判定客户乙属于第二类型对象。相比于上述按照是否为首次到访划分标准而言，即便客户甲是第一次到访，但由于截至到预设时间点到访累计时长大于或等于第二时间阈值，也认为客户甲属于第二类型对象；即便客户乙是第二次到访，但由于到访累计时长小于第一时间阈值，也认为客户乙属于第一类型对象。这样，根据到访累计时长的长短表示购买需求高低，如，到访累计时长较短表明购买需求较低，到访累计时长较长表明购买需求较高。其中，到访累计时长可以不设起点，即自对象首次到访以来的总到访累计时长，也可以自第二预设时间点起算，该第二预设时间点可以根据需要设置在上述预设时间点之前。
在又一些实施例中，第一类型对象和第二类型对象是按照是否为首次到访和到访累计时长划分的。例如，第一类型对象包括首次到访且截至到预设时间点到访累计时长小于第一时间阈值的对象；第二类型对象包括非首次到访且截至到预设时间点到访累计时长大于或等于第二时间阈值的对象。比如，若客户甲为首次到访，则判断客户甲截至到预设时间点的到访累计时长是否小于第一时间阈值，如果是，则判定客户甲属于第一类型对象；若客户乙为非首次到访，则判断客户乙截至到预设时间点的到访累计时长是否大于或等于第二时间阈值，如果是，则判定客户乙属于第二类型对象。
这里，第一时间阈值和第二时间阈值，都是预先设置的时间阈值。上述各时间阈值，可以根据投入的时间、成本等，和/或需求，预先进行设置，在此对于设置方式等不予限定。
在本公开实施例中，到访数据是表征对象的信息的数据，如到访人数，到访人数的变化趋势等。比例参数，用于反映预设时间范围内不同类型对象的到访情况。比如，若预设时间范围内到访的第一类型对象的到访数据为第一到访人数，第二类型对象的到访数据为第二到访人数，则比例参数包括如下至少一项：第一到访人数与第二到访人数的比值；第二到访人数与第一到访人数的比值；第一到访人数与目标到访人数的比值；第二到访人数与目标到访人数的比值。
其中，目标到访人数包括第一到访人数和第二到访人数之和，或是，目标到访人数包括预设时间范围内到访总人数。
其中，第一到访人数与第二到访人数的比值，能够反映出预设时间范围内第一类型对象与第二类型对象的到访人数比。比如，若在预设时间范围内，首次到访人数为A1，非首次到访人数为B1，那么，第一到访人数与第二到访人数比为A1/B1。又比如，若 在预设时间范围内，截至到预设时间点累计到访时长小于第一时间阈值的到访人数为A2，大于或等于第二时间阈值的到访人数为B2，那么，第一到访人数与第二到访人数比为A2/B2。再比如，若在预设时间范围内，首次到访且截至到预设时间点到访累计时长小于第一时间阈值的到访人数为A3，非首次到访且截至到预设时间点到访累计时长大于或等于第二时间阈值的到访人数为B3，那么，第一到访人数与第二到访人数比为A3/B3。
其中，第二到访人数与第一到访人数的比值，能够反映出预设时间范围内第二类型对象与第一类型对象的到访人数比。比如，若在预设时间范围内，首次到访人数为A1，非首次到访人数为B1，那么，第二到访人数与第一到访人数比为B1/A1。又比如，若在预设时间范围内，截至到预设时间点累计到访时长小于第一时间阈值的到访人数为A2，大于或等于第二时间阈值的到访人数为B2，那么，第二到访人数与第一到访人数比为B2/A2。再比如，若在预设时间范围内，首次到访且截至到预设时间点到访累计时长小于第一时间阈值的到访人数为A3，非首次到访且截至到预设时间点到访累计时长大于或等于第二时间阈值的到访人数为B3，那么，第二到访人数与第一到访人数比为B3/A3。
其中，第一到访人数与目标到访人数的比值，能够反映出预设时间范围内第一类型对象与目标对象的到访人数比。在目标到访人数包括预设时间范围内到访总人数的情况下，第一到访人数与目标到访人数的比值，能够反映第一类型对象占预设时间范围内到访的全部对象的比例。比如，若在预设时间范围内，首次到访人数为A1，非首次到访人数为B1，到访总人数为A1+B1＝Q，那么，第一到访人数占到访总人数比为A1/Q即A1/A1+B1。又比如，若在预设时间范围内，截至到预设时间点累计到访时长小于第一时间阈值的到访人数为A2，到访总人数为Q，那么，第一到访人数占到访总人数比为A2/Q。再比如，若在预设时间范围内，首次到访且截至到预设时间点到访累计时长小于第一时间阈值的到访人数为A3，到访总人数为Q，那么，第一到访人数占到访总人数比为A3/Q。在目标对象包括预设时间范围内到访的第一类型对象和第二类型对象的集合的情况下，第一到访人数与目标到访人数的比值，能够反映第一类型对象占第一类型对象与第二类型对象之和的比例。比如，若在预设时间范围内，首次到访人数为A1，非首次到访人数为B1，那么，第一到访人数占第一到访人数与第二到访人数之和的比为A1/A1+B1。又比如，若在预设时间范围内，截至到预设时间点累计到访时长小于第一时间阈值的到访人数为A2，大于或等于第二时间阈值的到访人数为B2，那么，第一到访人数占第一到访人数与第二到访人数之和的比为A2/A2+B2。再比如，若在预设时间范围内，首次到访且截至到预设时间点到访累计时长小于第一时间阈值的到访人数为A3，非首次到访且截至到预设时间点到访累计时长大于或等于第二时间阈值的到访人数为B3，那么，第一到访人数占第一到访人数与第二到访人数之和的比为A3/A3+B3。
其中，第二到访人数与目标到访人数的比值，能够反映出预设时间范围内第二类型对象与目标对象的到访人数比。在目标到访人数包括预设时间范围内到访总人数的情况下，第二到访人数与目标到访人数的比值，能够反映第二类型对象占预设时间范围内到访的全部对象的比例。比如，若在预设时间范围内，首次到访人数为A1，非首次到访人数为B1，到访总人数为A1+B1＝Q，那么，第二到访人数占到访总人数比为B1/Q即 B1/A1+B1。又比如，若在预设时间范围内，截至到预设时间点累计到访时长小于第一时间阈值的到访人数为B2，到访总人数为Q，那么，第二到访人数占到访总人数比为B2/Q。再比如，若在预设时间范围内，非首次到访且截至到预设时间点到访累计时长大于或等于第二时间阈值的到访人数为B3，到访总人数为Q，那么，第二到访人数占到访总人数比为B3/Q。在目标对象包括预设时间范围内到访的第一类型对象和第二类型对象的集合的情况下，第二到访人数与目标到访人数的比值，能够反映第二到访人数占第一到访人数与第二到访人数之和的比例。比如，若在预设时间范围内，首次到访人数为A1，非首次到访人数为B1，那么，第二到访人数占第一到访人数与第二到访人数之和的比为B1/A1+B1。又比如，若在预设时间范围内，截至到预设时间点累计到访时长小于第一时间阈值的到访人数为A2，大于或等于第二时间阈值的到访人数为B2，那么，第二到访人数占第一到访人数与第二到访人数之和的比为B2/A2+B2。再比如，若在预设时间范围内，首次到访且截至到预设时间点到访累计时长小于第一时间阈值的到访人数为A3，非首次到访且截至到预设时间点到访累计时长大于或等于第二时间阈值的到访人数为B3，那么，第二到访人数占第一到访人数与第二到访人数之和的比为B3/A3+B3。
在本公开实施例中，基础数据是用于表征对象特征的数据，比如，基础数据可以包括下述数据中的至少一种：年龄、性别、职业、学历、收入水平等。
在本公开实施例中，至少部分对象包括：基础数据满足预设条件的对象。其中，预设条件可以根据投入的时间、成本等，和/或需求，预先进行设置，在此对于设置方式等不予限定。比如，至少部分对象可以包括产生有效数据的对象，如到访累计时长超出一定时间阈值的对象、老客户、已签约客户等。
进一步的，可以调整至少部分对象的资源分配方式。比如，可以结合新老客户比例以及将25到35这个年龄段作为预设条件，来调整基础数据满足该预设条件的至少部分对象的资源分配方式。又比如，可以结合老新客户比例以及将男性作为预设条件，来调整基础数据满足该预设条件的至少部分对象的资源分配方式。再比如，可以结合新客户占全部对象的比例以及将收入水平为30万以上作为预设条件，来调整资源分配方式。
本公开实施例提供的技术方案，获取预设时间范围内到访的对象的到访数据；根据第一类型对象的到访数据以及第二类型对象的到访数据，确定比例参数；根据比例参数以及对象的基础数据，调整至少部分对象的资源分配方式；按照调整后的资源分配方式进行资源分配。如此，能够节省数据整理所耗费的时间，即解决了因人为进行数据整理而造成的耗时耗力的问题。并且，根据预设时间范围内第一类型对象的到访数据以及第二类型对象的到访数据所确定的比例参数，以及对象的基础数据，调整至少部分对象的资源分配方式，能够对有限的资源进行合理分配；而按照调整后的资源分配方式进行资源分配，能进一步提高客户体验和销售转换率。
为了更好地掌握到访数据，在一些实施例中，在获取预设时间范围内到访的对象的到访数据之前，还包括：实时获取图像；对图像进行图像识别处理，得到图像识别结果；当图像识别结果包括人脸特征和/或人体特征时，对图像识别结果进行数据库匹配；当匹配到数据库中的图像模板时，更新与该图像模板关联存储的历史到访记录和基础数据；当未匹配到数据库中的图像模板时，添加该图像识别结果作为相应对象的图像模板，并 与所采集的相应对象的基础数据和新增的历史到访记录关联存储。
在本公开实施例中，可以通过多种方式实时获取图像。例如，可以接收图像采集器发送的图像，或者，可以利用通信器接收其他设备传送的图像。
在一些实施例中，可以通过人脸识别技术对获取的图像进行图像识别处理，得到图像的人脸特征识别结果。和/或，可以通过人体识别技术对获取的图像进行图像识别处理，得到图像的人体特征识别结果。本申请并不对人脸识别技术、人体识别技术做具体限定。
在一些实施例中，对获取的图像进行图像识别处理，得到图像识别结果包括人脸特征和/或人体特征时，对图像识别结果进行数据库匹配。当匹配到数据库中的图像模板时，更新与图像模板关联存储的历史到访记录和基础数据。
其中，基础数据和历史到访记录可以全部或部分采用标签信息的方式存储。从而，响应于数据库中存在与对象匹配的图像模板，可以确定匹配的图像模板对应的标签信息。标签信息包括用于指示是否首次到访以及到访次数的信息。其中，图像模板包括但不限于人体模板或人脸模板；数据库包括但不限于人体模板库或人脸模板库。
需要说明的是，数据库中存储有对象的历史到访记录。历史到访记录至少包括与图像模板关联存储的标识(ID)信息和到访时间信息。对于每一个对象，都为其分配一个标识；对于同一个对象，仅分配一个标识。如此，可通过确定是否存在与图像识别结果匹配的对象标识信息，来判定当前到访的对象是首次到访还是非首次到访。
上述方案中，可选地，方法还包括：当未匹配到图像模板时，添加图像识别结果作为相应对象的图像模板，并与所采集的相应对象的基础数据和新增的历史到访记录关联存储。其中，响应于数据库中不存在与对象匹配的图像模板，可以在数据库中创建相应对象的图像模板，并为该对象分配标签信息。标签信息包括用于指示首次到访的信息。如此，当不存在匹配的图像模板时，在数据库中添加对象的图像识别结果作为对应的图像模板，能对数据库进行数据补充，当该对象再次来访时，方便后续查询。
在一些实施例中，根据比例参数以及对象的基础数据，调整至少部分对象的资源分配方式,包括：确定与预设条件匹配的目标资源分配方式；根据比例参数以及目标资源分配方式，调整至少部分对象的资源分配方式；其中，至少部分对象的基础数据满足该预设条件。
在一些实施例中，可基于同类基础数据的历史分配情况，来获得目标资源分配方式，从而调整至少部分对象的资源分配方式。如此，能够更有针对性地借鉴历史数据对至少部分对象进行资源分配方式调整，以按照调整后的资源分配方式对至少部分对象进行资源分配，从而有助于提高至少部分对象的客户体验和销售转换率。
为了更好地对有限的资源进行合理的分配，在一些实施例中，根据比例参数以及目标资源分配方式，调整至少部分对象的资源分配方式，包括：
在比例参数指示第二类型对象的到访数据满足第一预设条件的情况下，确定目标资源分配方式中针对第二类型对象的资源分配方式；和/或，在比例参数指示第一类型对象的到访数据满足第二预设条件的情况下，确定目标资源分配方式中针对第一类型对象的资源分配方式。
在本公开实施例中，第一预设条件用于表征第二类型对象的到访数据的变化。比如，第一预设条件用于表征数量增加或呈上升趋势；或者用于表征数量减少或呈下降趋势； 或者，用于表征相对变化较为平稳；或者，用于表征不存在变化，即无变化趋势。第二预设条件用于表征第一类型对象的到访数据的变化。比如，第二预设条件用于表征数量增加或呈上升趋势；或者用于表征数量减少或呈下降趋势；或者，用于表征相对变化较为平稳；或者用于表征不存在变化，即无变化趋势。
需要说明的是，在第一类型对象、第二类型对象指代不同的情况下，第一预设条件、第二预设条件也会有所不同。
示例性地，在第一类型对象指代新客户、第二类对象指代老客户的情况下，第一预设条件用于表征老客户的到访数据的变化；第二预设条件用于表征新客户的到访数据的变化。
示例性地，在第一类型对象指代截至到预设时间点到访累计时长小于第一时间阈值的对象、第二类型对象指代截至到预设时间点到访累计时长大于或等于第二时间阈值的对象的情况下，第一预设条件用于表征到访累计时长大于或等于第二时间阈值的对象的数量的变化；第二预设条件用于表征到访累计时长小于第一时间阈值的对象的数量的变化。
示例性地，在第一类型对象指代首次到访且截至到预设时间点到访累计时长小于第一时间阈值的对象、第二类对象指代到非首次到访且截至到预设时间点到访累计时长大于或等于第二时间阈值的对象的情况下，第一预设条件用于表征非首次到访且到访累计时长大于或等于第二时间阈值的对象的数量的变化；第二预设条件用于表征首次到访且到访累计时长小于第一时间阈值的对象的数量的变化。
在一些实施例中，资源包括线上资源和/或线下资源。线上资源包括基于网站的服务资源；线下资源包括基于实体店的服务资源。
步骤103中的调整资源分配方式，包括：调整线上资源配置数据和/或线下资源配置数据。
在本公开实施例中，线上资源配置数据的内容至少包括售价、售后服务、资源配置数据推送方式中的一项。其中，资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的一项。例如，线上资源配置数据可以包括如下的一项或是多项的组合：网页中产品呈现位置、呈现时间、广告推送的内容、电视广播等内容。当然也可以包括多于或是少于上述例举情况的内容，在此对于线上资源配置数据的具体内容不予限定。结合不同的场景、需求，可以选取相同或是不同的线上资源配置数据。
在本公开实施例中，线下资源配置数据的内容至少包括接待人员或跟进人员、售价、售后服务、资源配置数据推送方式中的一项。其中，资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的一项。例如，线下资源配置数据可以包括如下的一项或是多项的组合：实体店中接待人员、实体店中广告牌的摆放位置、实体店中产品放置位置、实体店中显示屏显示对象的频次和时间等内容。当然也可以包括多于或是少于上述例举情况的内容，在此对于线下资源配置数据的具体内容不予限定。结合不同的场景、需求，可以选取相同或是不同的线下资源配置数据。
如此，通过调整线上资源配置数据和/或线下资源配置数据，有助于使有限的资源得 到更合理的分配和利用，从而能够提高客户体验和销售转换率。
示例性地，若预设时间范围内新客户到访人数下降或呈下降趋势的情况下，调整线上资源配置数据和/或线下资源配置数据。比如，调整线上资源配置数据的内容包括：降低产品的售价，延长保修期，增加辅助性赠品，加大返现力度，增大消息推送频率。比如，调整线下资源配置数据的内容包括：增大老客户推荐新客户的返现额度，降低产品的售价，延长保修期，加大赠品力度，增大消息推送频率。
示例性地，若预设时间范围内老客户到访人数下降或呈下降趋势的情况下，调整线上资源配置数据和/或线下资源配置数据，比如，调整线上资源配置数据的内容包括：降低产品的售价，延长保修期，增加辅助性赠品，加大返现力度，增大消息推送频率；比如，调整线下资源配置数据的内容包括：更换跟进人员、降低产品的售价，延长保修期，增加辅助性赠品，加大返现力度，增大消息推送频率。
为了便于对资源进行统一管理，同一类消费群体可以分配同一类资源，如分配同一销售处理，按照消费群体的属性制定营销策略等。在一些实施例中，步骤103包括：基于基础数据确定消费群体；为属于同一消费群体的对象确定同一资源分配方式。其中，为属于同一消费群体的对象确定同一资源分配方式，包括：基于基础数据确定消费群体的属性；按照消费群体的属性制定资源配置数据方案。在本公开实施例中，消费群体为能够表征对象相应属性的群体。比如，群体为性别、年龄段、职业、地理位置等。
在一些实施例中，制定资源配置数据方案，包括：对资源配置数据在数量、时间、空间范围内进行匹配、流动和重组。如此，能够根据对象的消费群体属性给出合理的资源配置数据的调整方案，有利于根据资源配置数据的调整方案进行针对性的工作和服务。也就意味着，在基于消费群体属性整理结果，锁定影响成交量的核心因素的情况下，合理规划基于目标产品的资源分配方式，以进一步提高客户体验和销售转换率。
考虑到变化趋势能够更有效的反映资源配置数据的合理性或有效性，因此，在一种实现方式中，可以基于变化趋势来确定当前资源配置数据的评价结果。具体地，在一些实施方式中，步骤103还包括：基于比例参数，对资源配置数据进行评价，得到资源配置数据的评价结果；基于评价结果调整资源分配方式。
在本公开实施例中，资源配置数据可以是与销售目标产品活动有关的资源配置数据。比如，用于反映针对目标产品所采取的资源分配方案中各项资源对应的数据。其中，资源配置数据包括但不限于数量配置、时间配置、空间配置、人员配置、信息网络配置等中的一项或是多项的组合。
在本公开实施例中，评价结果可以用于反映当前资源配置落实一段时间后带来的影响。其中，评价结果包括至少两个等级，不同等级对应的待调整的资源配置数据的种类不同，和/或，不同等级对应的资源配置数据的调整方式不同。如此，通过给出资源配置数据的评价结果，有助于后续根据该评价结果给出资源配置数据的调整方案，从而有助于工作人员根据调整方案进行针对性工作和服务，从而提高客流量。
在一些实施方式中，基于评价结果调整资源分配方式，包括：在评价结果为第一评价结果的情况下，第一评价结果表征第一类型对象呈下降趋势，调整资源配置数据的内容以提高第一类型对象的到访人数，资源配置数据包括线上资源配置数据和/或线下资源配置数据。如此，有助于工作人员根据调整后的资源配置数据方案进行针对性工作和服 务，从而提高第一类型对象的到访人数。类似的，在评价结果为第二评价结果的情况下，第二评价结果表征第二类型对象呈下降趋势，调整资源配置数据的内容以提高第二类型对象的到访人数，资源配置数据包括线上资源配置数据和/或线下资源配置数据。如此，有助于工作人员根据调整后的资源配置数据方案进行针对性工作和服务，从而提高第二类型对象的到访人数。
本公开实施例提供的技术方案，由于比例参数能够有效反映目标产品的资源配置数据是否合理，使评价结果更具有针对性，即仅仅针对目标产品而言进行资源配置数据的分析。这样就可以基于获取到的比例参数得到目标产品的资源配置数据的评价结果，从而可以基于评价结果合理调整针对于目标产品的资源配置数据，即资源配置情况。从而在基于数据整理结果，锁定影响到访量的核心因素的情况下，合理规划基于目标产品的资源配置数据，以进一步提高客户体验和销售转换率。
为了便于对门店内的负责客户跟进的人员进行高效管理，在一些实施例中，方法还包括：当匹配到图像模板且标签信息表征对象为非首次到访时，确定与该对象关联的接待人员的标识信息；将该对象的标签信息和接待人员的标识信息发送至电子设备，以由电子设备显示对象的标签信息和接待人员的标识信息。
如此，能快速地对新老客户做出准确的判断，提高识别对象为新老客户的准确度，进而能辅助门店探查到高价值客户。另外，相对于门店前台根据记忆为老客户分配该老客户之前到访时的接待人员容易出错来说，本申请通过对获取的图像进行特征分析来确定之前为老客户分配的接待人员的方式，有助于提高准确率，规范销售接待流程。
为了便于对门店内的负责客户跟进的人员进行高效管理，在一些实施例中，方法还包括：当标签信息表征对象为首次到访时，获取为该对象分配的接待人员的标识信息；建立并存储该对象的标识信息与接待人员的标识信息之间的关联关系。
如此，通过建立对象的标识信息与接待人员的标识信息之间的关联关系，能够在该对象下次到访时快速确定上次接待该对象的接待人员，从而有助于该对象每次到访时，实现由同一接待人员负责跟进和服务该对象。
作为一种实施方式，获取为对象分配的接待人员的标识信息，可包括：接收终端发送的为对象分配的接待人员的标识信息。如此，能够根据管理人员在终端侧输入的指派信息为首次到访对象分配接待人员。
作为一种实施方式，获取为对象分配的接待人员的标识信息，可包括：基于上线终端的数量和/或上线终端上报的工作状态，为对象分配接待人员的标识信息。如此，能够根据上线终端的数量和/或上线终端上报的工作状态快速做出分配，合理地为对象分配接待人员。
在一些实施例中，上述方法可以由服务器执行，其中，服务器可以为云端服务器和/或前端服务器。例如，上述方法由前端服务器(例如视频一体机)和云端服务器实现。其中，前端服务器对获取图像进行人脸和人体跟踪，得到人脸和人体跟踪结果，并基于人脸和/或人体图像的质量确定基于哪种图像信息进行识别，然后，向云端服务器发送确定的图像信息。云端服务器在接收到前端服务器发送的图像信息之后，基于接收到的图像信息查询对应的数据库，得到识别结果，并向终端发送相应的各种处理结果，如对象的标签信息，接待人员的标识信息，资源配置数据的评价结果，资源配置数据的调整方 案，但本公开实施例对此不作限定。
在本申请实施例中，在实现上述任一方法的基础上，如图2所示，方法还可以包括以下步骤：
步骤201、接收对象的标签信息、以及当标签信息表征该对象为非首次到访时与该对象关联的接待人员的标识信息；
步骤202、显示该对象的标签信息和接待人员的标识信息。
如此，能够提供对象的标签信息和接待该对象的接待人员的标识信息，便于终端用户及时知晓当前对象的标签信息，且便于根据标签信息分配接待人员，以进一步提高客户体验和销售转换率。
在一些实施例中，方法还包括：在标签信息表征对象为首次到访的情况下，获取并显示为该对象分配的接待人员的标识信息；向服务器发送为该对象分配的接待人员的标识信息。
示例性地，在标签信息表征对象为首次到访的情况下，终端获取为该对象分配的接待人员的标识信息，并显示接待人员的标识信息。其中，终端获取标识信息的方式例如终端用户手动输入或服务器自动分配。如此，能够实现接待任务的快速分配，有利于工作人员根据分配信息进行针对性工作和服务，提高工作效率。
在一些实施例中，方法还包括：在对象通知界面中显示对象的标签信息和接待人员的标识信息。如此，便于终端用户通过对象通知界面及时获知对象与接待人员的信息。
在一些实施例中，方法还包括：获取输入的查询条件，查询条件至少包括预设时间范围；将查询条件发送至服务器。如此，能够为终端提供与查询条件相适应的对象的标签信息和接待人员的标识信息，从而有助于实现接待任务的快速分配，有利于工作人员根据分配信息进行针对性工作和服务，提高客户体验和销售转换率。
图3为本公开实施例提供的终端侧输出对象通知界面的示意图。如图3所示，在对象通知界面上显示每个对象的标签信息，如首次到访，第N次到访，N为大于或等于2的正整数。在该对象通知界面上还显示负责接待各对象的接待人员的标识，如接待人员姓名或工号。当然，在对象通知界面上还可以展示各对象是否具有决策权等信息。
通过该对象通知界面，门店前台和销售人员能够知晓各对象具体由谁负责跟进，且便于门店前台基于该对象通知界面中所显示信息为不同的对象推荐接待人员，有助于规范销售接待流程。
应理解，图3所示的对象通知界面为一种可选的具体实现方式，本领域技术人员可以基于图3的例子进行各种显而易见的变化和/或替换，得到的技术方案仍属于本公开实施例的公开范围。
图4为本公开实施例提供的数据展示界面的示意图。如图4所示，在展示界面上展示有门店车型热度排行，还展示有实时客流人数、新老客户比例、年龄分布、性别分布等其他数据。通过该展示界面，可供4S店销售和门店探知对象对各个车型的关注度热度，结合门店车型推广需要和营销策略，对4S店内车型的摆放及营销活动效果反馈提供数据支撑。尤其对区域公司、经销商和主机厂来说，可以足不出户远程获知到各个门店对象群体对各个车型的关注度强弱，以支撑运营决策和对销售/门店的工作效果评 价。
应理解，图4所示的展示界面为一种可选的具体实现方式，本领域技术人员可以基于图4的例子进行各种显而易见的变化和/或替换，得到的技术方案仍属于本公开实施例的公开范围。
对应上述资源分配方法，本公开实施例提供了一种资源分配装置，应用于电子设备，如图5所示，所述装置包括：
获取模块10，用于获取预设时间范围内到访的对象的到访数据；
确定模块20，用于根据第一类型对象的到访数据以及第二类型对象的到访数据，确定比例参数；
分配模块30，用于根据比例参数以及对象的基础数据，调整至少部分对象的资源分配方式，并按照调整后的资源分配方式进行资源分配。
上述方案中，可选地，确定模块20可用于在预设时间范围内到访的对象中确定第一类型对象和第二类型对象。示例性地，第一类型对象包括首次到访的对象，和/或截至到预设时间点到访累计时长小于第一时间阈值的对象；第二类型对象包括非首次到访的对象，和/或截至到预设时间点到访累计时长大于或等于第二时间阈值的对象。其中，第一时间阈值可以小于、等于或大于第二时间阈值。
作为一种实施方式，所述获取模块10，用于：实时获取图像；对图像进行图像识别处理，得到图像识别结果；当图像识别结果包括人脸特征和/或人体特征时，对图像识别结果进行数据库匹配；当匹配到数据库中的图像模板时，更新与图像模板关联存储的历史到访记录和基础数据；当未匹配到数据库中的图像模板时，添加图像识别结果作为相应对象的图像模板，并与所采集的相应对象的基础数据和新增的历史到访记录关联存储。进一步的，所述获取模块10可以以标签信息的形式关联存储历史到访记录和基础数据。
作为一种实施方式，所述分配模块30用于：确定与预设条件匹配的目标资源分配方式；根据比例参数以及目标资源分配方式，调整至少部分对象的资源分配方式；其中，至少部分对象的基础数据满足该预设条件。
作为一种实施方式，所述分配模块30用于：在比例参数指示第二类型对象的到访数据满足第一预设条件的情况下，确定目标资源分配方式中针对第二类型对象的资源分配方式；和/或，在比例参数指示第一类型对象的到访数据满足第二预设条件的情况下，确定目标资源分配方式中针对第一类型对象的资源分配方式。
可选地，到访数据包括到访人数，比例参数包括如下至少一项：第一类型对象的到访人数与第二类型对象的到访人数的比值；第二类型对象的到访人数与第一类型对象的到访人数的比值；第一类型对象的到访人数与目标到访人数的比值；第二类型对象的到访人数与目标到访人数的比值。其中，目标到访人数包括第一类型对象的到访人数和第二类型对象的到访人数之和，或是，目标到访人数包括预设时间范围内到访总人数。
作为一种实施方式，资源包括线上资源和/或线下资源，线上资源包括基于网站的服务资源，线下资源包括基于实体店的服务资源。所述分配模块30用于：调整线上资源配置数据和/或线下资源配置数据。
上述方案中，可选地，线上资源配置数据的内容至少包括售价、售后服务、资 源配置数据推送方式中的一项；线下资源配置数据的内容至少包括接待人员或跟进人员、售价、售后服务、资源配置数据推送方式中的一项；资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的一项。
在一些实施例中，所述装置还包括：通信模块40(图5中未示出)，用于将对象的标签信息和接待人员的标识信息发送至终端，以由终端显示对象的标签信息和接待人员的标识信息。
本领域技术人员应当理解，在一些可选实施例中，图5中所示的资源分配装置中的各处理模块可设置在服务器中，其实现功能可参照前述资源分配方法的相关描述而理解，且可通过运行于处理器上的程序而实现，也可通过具体的逻辑电路而实现。
实际应用中，上述的获取模块10、确定模块20、分配模块30和通信模块40的具体结构均可对应于处理器。处理器具体的结构可以为中央处理器(CPU，Central Processing Unit)、微处理器(MCU，Micro Controller Unit)、数字信号处理器(DSP，Digital Signal Processing)或可编程逻辑器件(PLC，Programmable Logic Controller)等具有处理功能的电子元器件或电子元器件的集合。其中，处理器包括可执行代码，可执行代码存储在存储介质中，处理器可以通过总线等通信接口与存储介质相连，在执行具体的各单元的对应功能时，从存储介质中读取并运行可执行代码。存储介质用于存储可执行代码的部分优选为非瞬间存储介质。
本公开实施例提供的资源分配装置，能够节省数据整理所耗费的时间，即解决了因人为进行数据整理而造成的耗时耗力的问题。并且，根据预设时间范围内第一类型对象的到访数据以及第二类型对象的到访数据所确定的比例参数，以及对象的基础数据，调整至少部分对象的资源分配方式，能够对有限的资源进行合理分配。
本公开实施例还记载了一种资源分配设备，所述设备包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，处理器执行计算机程序时实现前述任意一个技术方案提供的资源分配方法。
作为一种实施方式，处理器执行计算机程序时实现：获取预设时间范围内到访的对象的到访数据；根据第一类型对象的到访数据以及第二类型对象的到访数据，确定比例参数；根据比例参数以及对象的基础数据，调整至少部分对象的资源分配方式；按照调整后的资源分配方式进行资源分配。
作为一种实施方式，处理器执行计算机程序时实现：在预设时间范围内到访的对象中确定第一类型对象，其中将首次到访和/或截至到预设时间点到访累计时长小于第一时间阈值的对象确定为第一类型对象；在预设时间范围内到访的对象中确定第二类型对象，其中将非首次到访和/或截至到预设时间点到访累计时长大于或等于第二时间阈值的对象确定为第二类型对象。其中，第一时间阈值可以小于、等于或大于第二时间阈值。
作为一种实施方式，处理器执行计算机程序时实现：实时获取图像；对图像进行图像识别处理，得到图像识别结果；当图像识别结果包括人脸特征和/或人体特征时，对图像识别结果进行数据库匹配；当匹配到数据库中的图像模板时，更新与图像模板关联存储的历史到访记录和基础数据；当未匹配到数据库中的图像模板时，添加图像识别结果作为相应对象的图像模板，并与所采集的相应对象的基础数据和新增的历史到访记 录关联存储。
作为一种实施方式，处理器执行计算机程序时实现：以标签信息的形式关联存储历史到访记录和基础数据。
作为一种实施方式，处理器执行计算机程序时实现：确定与预设条件匹配的目标资源分配方式；根据比例参数以及目标资源分配方式，调整至少部分对象的资源分配方式；其中，至少部分对象的基础数据满足该预设条件。
作为一种实施方式，处理器执行计算机程序时实现：在比例参数指示第二类型对象的到访数据满足第一预设条件的情况下，确定目标资源分配方式中针对第二类型对象的资源分配方式；和/或，在比例参数指示第一类型对象的到访数据满足第二预设条件的情况下，确定目标资源分配方式中针对第一类型对象的资源分配方式。
上述方案中，可选地，到访数据包括到访人数，比例参数包括如下至少一项：第一类型对象的到访人数与第二类型对象的到访人数的比值；第二类型对象的到访人数与第一类型对象的到访人数的比值；第一类型对象的到访人数与目标到访人数的比值；第二类型对象的到访人数与目标到访人数的比值；其中，目标到访人数包括第一类型对象的到访人数和第二类型对象的到访人数之和，或是，目标到访人数包括预设时间范围内到访总人数。
作为一种实施方式，处理器执行计算机程序时实现：调整线上资源配置数据和/或线下资源配置数据；线上资源包括基于网站的服务资源；线下资源包括基于实体店的服务资源。
作为一种实施方式，处理器执行计算机程序时实现：线上资源配置数据的内容至少包括售价、售后服务、资源配置数据推送方式中的一项；线下资源配置数据的内容至少包括接待人员或跟进人员、售价、售后服务、资源配置数据推送方式中的一项；资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的一项。
本公开实施例提供的资源分配设备，能够节省数据整理所耗费的时间，即解决了因人为进行数据整理而造成的耗时耗力的问题。并且，根据预设时间范围内第一类型对象的到访数据以及第二类型对象的到访数据所确定的比例参数，以及对象的基础数据，调整至少部分对象的资源分配方式，能够对有限的资源进行合理分配。
在如图5所示装置的基础上，如图6所示，所述装置还可以包括：接收模块50，用于接收对象的标签信息、以及当标签信息表征该对象为非首次到访时与该对象关联的接待人员的标识信息；显示处理模块60，用于显示该对象的标签信息和接待人员的标识信息。
上述方案中，可选地，所述装置还包括：获取模块70(图6中未示出)，用于当标签信息表征该对象为首次到访时，获取并显示为该对象分配的接待人员的标识信息；发送处理模块80(图6中未示出)，用于向服务器发送为该对象分配的接待人员的标识信息。
作为一种实施方式，所述显示处理模块60，用于：在对象通知界面中显示各对象的标签信息和接待人员的标识信息。
本领域技术人员应当理解，在一些可选实施例中，图6中所示的资源分配装置 中的各处理模块可设置在终端中如个人电脑、手机、平板电脑或可穿戴式设备等，其实现功能可参照前述资源分配方法的相关描述而理解。本领域技术人员应当理解，图6所示的资源分配装置中各处理单元的功能可通过运行于处理器上的程序而实现，也可通过具体的逻辑电路而实现。
实际应用中，上述的接收模块50、显示处理模块60、获取模块70和发送处理模块80的具体结构均可对应于处理器。处理器具体的结构可以为CPU、MCU、DSP或PLC等具有处理功能的电子元器件或电子元器件的集合。其中，处理器包括可执行代码，可执行代码存储在存储介质中，处理器可以通过总线等通信接口与存储介质相连，在执行具体的各单元的对应功能时，从存储介质中读取并运行可执行代码。存储介质用于存储可执行代码的部分优选为非瞬间存储介质。
本公开实施例所述资源分配装置，便于终端用户及时知晓当前到访的对象的标签信息，且便于根据标签信息分配接待人员，以进一步提高客户体验和销售转换率。
本公开实施例还记载了一种资源分配设备，所述设备包括：存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，处理器执行计算机程序时实现前述任意一个技术方案提供的资源分配方法。
作为一种实施方式，处理器执行计算机程序时实现：接收对象的标签信息、以及在标签信息表征该对象为非首次到访的情况下与该对象关联的接待人员的标识信息；显示该对象的标签信息和接待人员的标识信息。
作为一种实施方式，处理器执行计算机程序时实现：在标签信息表征对象为首次到访的情况下，获取并显示为该对象分配的接待人员的标识信息；向服务器发送为该对象分配的接待人员的标识信息。
作为一种实施方式，处理器执行计算机程序时实现：在对象通知界面中显示各对象的标签信息和接待人员的标识信息。
本公开实施例提供的资源分配设备，便于终端用户及时知晓当前到访的对象的标签信息，且便于根据标签信息分配接待人员，以进一步提高客户体验和销售转换率。
本公开实施例还记载了一种计算机存储介质，计算机存储介质中存储有计算机可执行指令，计算机可执行指令用于执行前述各个实施例所述的资源分配方法。也就是说，计算机可执行指令被处理器执行之后，能够实现前述任意一个技术方案提供的资源分配方法。
本领域技术人员应当理解，本实施例的计算机存储介质中各程序的功能，可参照前述各实施例所述的应用于电子设备的资源分配方法的相关描述而理解。
本公开实施例还记载了一种计算机程序，包括计算机可执行代码，当计算机可执行代码在设备上运行时，使得设备中的处理器能够实现前述任意一个技术方案提供的资源分配方法。
还应理解，本文中列举的各个可选实施例仅仅是示例性的，用于帮助本领域技术人员更好地理解本公开实施例的技术方案，而不应理解成对本公开实施例的限定，本领域普通技术人员可以在本文所记载的各个可选实施例的基础上进行各种改变和替换，也应理解为本公开实施例的一部分。
此外，本文对技术方案的描述着重于强调各个实施例的不同之处，其相同或相 似之处可以相互参考，为了简洁，不再一一赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的设备和方法，可以通过其它的方式实现。以上所描述的设备实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，如：多个单元或组件可以结合，或可以集成到另一个***，或一些特征可以忽略，或不执行。另外，所显示或讨论的各组成部分相互之间的耦合、或直接耦合、或通信连接可以是通过一些接口，设备或单元的间接耦合或通信连接，可以是电性的、机械的或其它形式的。
上述作为分离部件说明的单元可以是、或也可以不是物理上分开的，作为单元显示的部件可以是、或也可以不是物理单元；既可以位于一个地方，也可以分布到多个网络单元上；可以根据实际的需要选择其中的部分或全部单元来实现本实施例方案的目的。
另外，在本申请各实施例中的各功能单元可以全部集成在一个处理单元中，也可以是各单元分别单独作为一个单元，也可以两个或两个以上单元集成在一个单元中；上述集成的单元既可以采用硬件的形式实现，也可以采用硬件加软件功能单元的形式实现。
本领域普通技术人员可以理解：实现上述方法实施例的全部或部分步骤可以通过程序指令相关的硬件来完成，前述的程序可以存储于计算机可读取存储介质中，该程序在执行时，执行包括上述方法实施例的步骤；而前述的存储介质包括：移动存储设备、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
或者，本申请上述集成的单元如果以软件功能模块的形式实现并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。基于这样的理解，本公开实施例的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机、服务器、或者网络设备等)执行本申请各个实施例所述方法的全部或部分。而前述的存储介质包括：移动存储设备、ROM、RAM、磁碟或者光盘等各种可以存储程序代码的介质。

Claims (23)

  1. 一种资源分配方法，包括：
    获取预设时间范围内到访的对象的到访数据；
    根据第一类型对象的到访数据以及第二类型对象的到访数据，确定比例参数；
    根据所述比例参数以及所述对象的基础数据，调整至少部分所述对象的资源分配方式；
    按照调整后的资源分配方式进行资源分配。
  2. 根据权利要求1所述的方法，其特征在于，还包括：
    在所述对象中确定所述第一类型对象，其中将首次到访和/或截至到预设时间点到访累计时长小于第一时间阈值的对象确定为所述第一类型对象；
    在所述对象中确定所述第二类型对象，其中将非首次到访和/或截至到所述预设时间点到访累计时长大于或等于第二时间阈值的对象确定为所述第二类型对象。
  3. 根据权利要求1或2所述的方法，其特征在于，所述到访数据包括到访人数，所述比例参数包括如下至少一项：
    所述第一类型对象的到访人数与所述第二类型对象的到访人数的比值；
    所述第二类型对象的到访人数与所述第一类型对象的到访人数的比值；
    所述第一类型对象的到访人数与目标到访人数的比值；
    所述第二类型对象的到访人数与所述目标到访人数的比值；
    其中，所述目标到访人数包括所述第一类型对象的到访人数和所述第二类型对象的到访人数之和，或是，所述目标到访人数包括所述预设时间范围内到访总人数。
  4. 根据权利要求1至3任一项所述的方法，其特征在于，在所述获取预设时间范围内到访的对象的到访数据之前，还包括：
    实时获取图像；
    对所述图像进行图像识别处理，得到图像识别结果；
    当所述图像识别结果包括人脸特征和/或人体特征时，对所述图像识别结果进行数据库匹配；
    当匹配到所述数据库中的图像模板时，更新与所述图像模板关联存储的历史到访记录和基础数据；
    当未匹配到所述数据库中的图像模板时，添加所述图像识别结果作为相应对象的图像模板，并与所采集的所述相应对象的基础数据和新增的历史到访记录关联存储。
  5. 根据权利要求4所述的方法，其特征在于，以标签信息的形式关联存储所述历史到访记录和基础数据。
  6. 根据权利要求1至5任一项所述的方法，其特征在于，所述根据所述比例参数以及所述对象的基础数据，调整至少部分所述对象的资源分配方式,包括：
    确定与预设条件匹配的目标资源分配方式；
    根据所述比例参数以及所述目标资源分配方式，调整所述至少部分所述对象的资源 分配方式；其中，所述至少部分所述对象的基础数据满足所述预设条件。
  7. 根据权利要求6所述的方法，其特征在于，所述根据所述比例参数以及所述目标资源分配方式，调整所述至少部分所述对象的资源分配方式，包括：
    在所述比例参数指示所述第二类型对象的所述到访数据满足第一预设条件的情况下，确定所述目标资源分配方式中针对所述第二类型对象的资源分配方式；
    和/或，在所述比例参数指示所述第一类型对象的所述到访数据满足第二预设条件的情况下，确定所述目标资源分配方式中针对所述第一类型对象的资源分配方式。
  8. 根据权利要求1至7任一项所述的方法，其特征在于，
    所述资源包括线上资源和/或线下资源，所述线上资源包括基于网站的服务资源，所述线下资源包括基于实体店的服务资源；
    所述调整资源分配方式，包括：
    调整线上资源配置数据和/或线下资源配置数据。
  9. 根据权利要求8所述的方法，其特征在于，
    所述线上资源配置数据的内容至少包括售价、售后服务、资源配置数据推送方式中的一项；
    所述线下资源配置数据的内容至少包括接待人员或跟进人员、售价、售后服务、资源配置数据推送方式中的一项；
    所述资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置数据的推送间隔、推送资源配置数据的途径中的一项。
  10. 根据权利要求8所述的方法，其特征在于，还包括：
    基于所述比例参数，对资源配置数据进行评价；
    基于评价结果调整所述资源分配方式。
  11. 一种资源分配装置，包括：
    获取模块，用于获取预设时间范围内到访的对象的到访数据；
    确定模块，用于根据第一类型对象的到访数据以及第二类型对象的到访数据，确定比例参数；
    分配模块，用于根据所述比例参数以及所述对象的基础数据，调整至少部分所述对象的资源分配方式，并按照调整后的资源分配方式进行资源分配。
  12. 根据权利要求11所述的装置，其特征在于，所述确定模块用于：
    在所述对象中确定所述第一类型对象，其中将首次到访和/或截至到预设时间点到访累计时长小于第一时间阈值的对象确定为所述第一类型对象；
    在所述对象中确定所述第二类型对象，其中将非首次到访和/或截至到所述预设时间点到访累计时长大于或等于第二时间阈值的对象确定为所述第二类型对象。
  13. 根据权利要求11或12所述的装置，其特征在于，所述到访数据包括到访人数，所述比例参数包括如下至少一项：
    所述第一类型对象的到访人数与所述第二类型对象的到访人数的比值；
    所述第二类型对象的到访人数与所述第一类型对象的到访人数的比值；
    所述第一类型对象的到访人数与目标到访人数的比值；
    所述第二类型对象的到访人数与所述目标到访人数的比值；
    其中，所述目标到访人数包括所述第一类型对象的到访人数和所述第二类型对象的到访人数之和，或是，所述目标到访人数包括所述预设时间范围内到访总人数。
  14. 根据权利要求11至13任一项所述的装置，其特征在于，所述获取模块用于：
    实时获取图像；
    对所述图像进行图像识别处理，得到图像识别结果；
    当所述图像识别结果包括人脸特征和/或人体特征时，对所述图像识别结果进行数据库匹配；
    当匹配到所述数据库中的图像模板时，更新与所述图像模板关联存储的历史到访记录和基础数据；
    当未匹配到所述数据库中的图像模板时，添加所述图像识别结果作为相应对象的图像模板，并与所采集的所述相应对象的基础数据和新增的历史到访记录关联存储。
  15. 根据权利要求14所述的装置，其特征在于，所述获取模块以标签信息的形式关联存储所述历史到访记录和基础数据。
  16. 根据权利要求11至15任一项所述的装置，其特征在于，所述分配模块用于：
    确定与预设条件匹配的目标资源分配方式；
    根据所述比例参数以及所述目标资源分配方式，调整所述至少部分所述对象的资源分配方式；其中，所述至少部分所述对象的基础数据满足所述预设条件。
  17. 根据权利要求16所述的装置，其特征在于，所述分配模块用于：
    在所述比例参数指示所述第二类型对象的所述到访数据满足第一预设条件的情况下，确定所述目标资源分配方式中针对所述第二类型对象的资源分配方式；
    和/或，在所述比例参数指示所述第一类型对象的所述到访数据满足第二预设条件的情况下，确定所述目标资源分配方式中针对所述第一类型对象的资源分配方式。
  18. 根据权利要求11至17任一项所述的装置，其特征在于，
    所述资源包括线上资源和/或线下资源，所述线上资源包括基于网站的服务资源，所述线下资源包括基于实体店的服务资源；
    所述分配模块用于：
    调整线上资源配置数据和/或线下资源配置数据。
  19. 根据权利要求18所述的装置，其特征在于，
    所述线上资源配置数据的内容至少包括售价、售后服务、资源配置数据推送方式中的一项；
    所述线下资源配置数据的内容至少包括接待人员或跟进人员、售价、售后服务、资源配置数据推送方式中的一项；
    所述资源配置数据推送方式至少包括资源配置数据的推送时间、相邻两次资源配置 数据的推送间隔、推送资源配置数据的途径中的一项。
  20. 根据权利要求18所述的装置，其特征在于，所述分配模块还用于：
    基于所述比例参数，对资源配置数据进行评价；
    基于评价结果调整所述资源分配方式。
  21. 一种资源分配设备，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机程序，其中，所述处理器执行所述计算机程序时实现权利要求1至10任一项所述的资源分配方法。
  22. 一种存储介质，所述存储介质存储有计算机程序，所述计算机程序被处理器执行时，使得所述处理器执行权利要求1至10任一项所述的资源分配方法。
  23. 一种计算机程序，包括计算机可执行代码，当所述计算机可执行代码在设备上运行时，使得所述设备中的处理器执行权利要求1-10任一项所述的资源分配方法。
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