JP2023508172A - Resource allocation method, device, facility, storage medium and computer program - Google Patents

Abstract

The present application discloses a resource allocation method, apparatus, equipment, storage medium and computer program. The resource allocation method obtains visit data of subjects visited within a predetermined time range, identifies a ratio parameter based on the visit data of the first type of subjects and the visit data of the second type of subjects, and Adjusting a resource allocation scheme for at least a portion of the subject based on the ratio parameter and the subject's underlying data, and performing resource allocation according to the adjusted resource allocation scheme.
[Selection drawing] Fig. 1

Description

The present application relates to resource allocation methods, devices, equipment, storage media and computer programs.

<Cross reference to related applications>
This application is filed with the Chinese Patent Office on Dec. 27, 2019 under the application number 201911380409. X, the entire contents disclosed in said Chinese patent application are hereby incorporated by reference into this application.

In practical use, a location, such as a store, is typically organized by artificially organizing the customer, ie target data, and allocating resources within the current location based on the organized data. However, conventional resource allocation schemes are not only time-consuming and laborious, but also difficult to rationally allocate limited resources. Therefore, there is a need for a resource allocation method to solve the above technical problems.

The present application provides a technical solution of resource allocation method.

In a first aspect, embodiments of the present disclosure provide a resource allocation method, the method obtains visit data of a subject visited within a predetermined time range, and obtains visit data of a first type of subject and a second type of subject visit data. identifying a ratio parameter based on visit data for a type of subject; adjusting a resource allocation scheme for at least a portion of the subject based on the ratio parameter and the subject's underlying data; and according to the adjusted resource allocation scheme. Including making resource allocations.

In the above aspect, preferably, the first type of target is specified among the targets, and the target whose visit is the first visit and/or the cumulative visit time up to a predetermined time point is smaller than the first time threshold is selected as the first type of target. to identify the second type of target among the targets, and the target that is a non-first visit and / or has a second time threshold or more for the cumulative visit time up to the predetermined time is defined as the second type of target Further including identifying.

In the above aspect, preferably, the visit data includes the number of visitors, and the ratio parameter is a ratio value between the number of visitors of the first type target and the number of visitors of the second type target, A ratio value between the number of visitors of the type target and the number of visitors of the first type target, a ratio value of the number of visitors of the first type target and the target number of visitors, and a value of the number of visitors of the second type target and the target number of visitors, wherein the target number of visitors includes the sum of the number of visitors of the first type and the number of visitors of the second type, or The target number of visitors includes the total number of visitors within the predetermined time range.

In the above aspect, preferably, before acquiring the visit data of the target visited within a predetermined time range, an image is acquired in real time, image identification processing is performed on the image, an image identification result is obtained, if the image identification results include facial features and/or body features, performing database matching on the image identification results, and if matching an image template in the database, a history visit record and basis stored in association with the image template; updating the data, adding the image identification result as an image template of the corresponding subject if the image template in the database is not matched, and associating with the corresponding subject's basic data and new historical visit records to be collected; and storing.

In the above aspect, preferably, the history visit record and the basic data are stored in association with each other in the form of tag information.

In the above aspect, preferably, adjusting at least a portion of the subject's resource allocation scheme based on the ratio parameter and the subject's underlying data includes identifying a target resource allocation scheme that meets a predetermined condition; adjusting a resource allocation scheme for the at least some of the subjects based on the ratio parameter and the target resource allocation scheme, wherein underlying data of the at least some of the subjects satisfy the predetermined condition. .

In the above aspect, preferably, adjusting a resource allocation scheme for said at least some of said subjects based on said ratio parameter and said target resource allocation scheme includes: identifying a resource allocation scheme for subjects of said second type among said target resource allocation schemes if the data indicates that a first predetermined condition is satisfied; identifying a resource allocation scheme for the first type object among the target resource allocation schemes, if the visit data indicates that a second predetermined condition is satisfied.

In the above aspect, preferably, the resources include online resources and/or offline resources, the online resources include service resources based on websites, the offline resources include service resources based on brick-and-mortar stores, and resources Adjusting the allocation scheme includes adjusting online resource configuration data and/or offline resource configuration data.

In the above aspect, preferably, the content of the online resource configuration data includes at least one of sales price, after-sales service, resource configuration data push method, and the content of the offline resource configuration data is at least a customer service representative or including a follow-up person, sales price, after-sales service, and one of the resource configuration data push method, wherein the resource configuration data push method is at least the resource configuration data push time, two adjacent resource configuration data pushes interval, including one of the resource configuration data push paths.

The above aspect preferably further comprises evaluating resource configuration data based on the ratio parameter and adjusting the resource allocation scheme based on the evaluation result.

In a second aspect, embodiments of the present disclosure provide a resource allocation device, the device comprising: an acquisition module for acquiring visit data of subjects visited within a predetermined time range; a specific module for identifying a ratio parameter based on visit data and visit data of a second type of subject; and a resource allocation strategy for at least a portion of said subject based on said ratio parameter and said subject's underlying data. an allocation module for coordinating and making resource allocations according to the coordinated resource allocation scheme.

In the above aspect, preferably, the identification module identifies a subject of the first type among the subjects, and selects a subject that is a first-time visitor and/or has a cumulative visit time that is less than a first time threshold up to a predetermined time. Identifying a subject of the first type, identifying a subject of the second type among the subjects, and determining that the subject is a non-first visit and/or a subject whose accumulated visit time is equal to or greater than a second time threshold up to the predetermined point of time Used to identify two types of objects.

In the above aspect, preferably, the visit data includes the number of visitors, and the ratio parameter is a ratio value between the number of visitors of the first type target and the number of visitors of the second type target, A ratio value between the number of visitors of the type target and the number of visitors of the first type target, a ratio value of the number of visitors of the first type target and the target number of visitors, and a value of the number of visitors of the second type target and the target number of visitors, wherein the target number of visitors includes the sum of the number of visitors of the first type and the number of visitors of the second type, or The target number of visitors includes the total number of visitors within the predetermined time range.

In the above aspect, preferably, the acquisition module acquires an image in real time, performs image identification processing on the image, obtains an image identification result, and the image identification result includes facial features and/or human body features. performing database matching on the image identification result, and if the image template in the database is matched, updating historical visit records and basic data stored in association with the image template, and not matching the image template in the database; If so, the image identification result is added as an image template of the corresponding object and used to be stored in association with the collected basic data of the corresponding object and new history visit record.

In the above aspect, preferably, the acquisition module associates and stores the history visit record and basic data in the form of tag information.

In the above aspect, preferably, the allocation module identifies a target resource allocation scheme that meets a predetermined condition, and selects the at least part of target resource allocation schemes based on the ratio parameter and the target resource allocation scheme. used to reconcile, the underlying data of said at least some subjects meeting said predetermined condition.

In the above aspect, preferably, the allocation module is, if the ratio parameter indicates that the visit data of subjects of the second type satisfies a first predetermined condition, the second type of the target resource allocation scheme. and/or if the ratio parameter indicates that the visit data for subjects of the first type satisfies a second predetermined condition, of the target resource allocation schemes, the Used to specify a resource allocation scheme for a type of target.

In the above aspect, preferably, the resources include online resources and/or offline resources, the online resources include service resources based on websites, the offline resources include service resources based on brick-and-mortar stores, and the The allocation module is used to coordinate online resource configuration data and/or offline resource configuration data.

In the above aspect, preferably, the content of the online resource configuration data includes at least one of sales price, after-sales service, resource configuration data push method, and the content of the offline resource configuration data is at least a customer service representative or including a follow-up person, sales price, after-sales service, and one of the resource configuration data push method, wherein the resource configuration data push method is at least the resource configuration data push time, two adjacent resource configuration data pushes interval, including one of the resource configuration data push paths.

In the above aspect, preferably, the allocation module is further used to evaluate resource configuration data based on the ratio parameter and adjust the resource allocation scheme based on the evaluation result.

In a third aspect, an embodiment of the present disclosure provides a resource allocation facility, comprising a memory, a processor, and a computer program stored in said memory and executable by said processor, said processor comprising said computer program implements the resource allocation method described in the embodiments of the present disclosure when executing .

In a fourth aspect, embodiments of the present disclosure provide a storage medium on which a computer program is stored, wherein when the computer program is executed by a processor, the processor performs the resource allocation method according to the embodiments of the present disclosure. let it run.

In a fifth aspect, embodiments of the present disclosure provide a computer program product comprising computer-executable code, wherein when the computer-executable code is executed in a facility, a processor in the facility executes the embodiment of the present disclosure. Execute the resource allocation method described in .

In a technical solution according to an embodiment of the present disclosure, obtaining visit data of a target to be visited within a predetermined time range, based on the first type of target visit data and the second type of target visit data, A ratio parameter is identified, a resource allocation scheme of at least a portion of the subject is adjusted based on the ratio parameter and the subject's underlying data, and resource allocation is performed according to the adjusted resource allocation scheme. In this way, it is possible to save the time required for organizing the data, that is, to solve the problem of the labor required for manually organizing the data. and adjusting a resource allocation scheme for at least some of the subjects based on the ratio parameters identified by the visit data of the first type subjects and the visit data of the second type subjects within the predetermined time range and the underlying data. Then you can rationally allocate limited resources. Resource allocation according to a coordinated resource allocation scheme can further improve customer experience and sales conversion rates.

4 is an implementation flowchart of a resource allocation method according to an embodiment of the present disclosure; 4 is an implementation flowchart of another resource allocation method according to an embodiment of the present disclosure; FIG. 4 is a schematic diagram of a terminal-side output target notification screen according to an embodiment of the present disclosure; FIG. 3 is a schematic diagram of a data display screen according to an embodiment of the present disclosure; 1 is a schematic configuration diagram of a resource allocation device according to an embodiment of the present disclosure; FIG. FIG. 4 is a structural schematic diagram of another resource allocation device according to an embodiment of the present disclosure;

The technical solutions of the present application are described in more detail below with reference to the drawings and specific embodiments.

In order for those skilled in the art to better understand the solutions in the embodiments of the present disclosure, the following clearly describes the technical solutions in the embodiments of the present disclosure with reference to the drawings in the embodiments of the present disclosure. In addition, the described embodiments are only some embodiments of the present application, but not all embodiments.

The terms "first", "second", "third", etc. in the examples, claims and drawings of the present application are used to distinguish similar objects and may be used in any particular order or order. It need not be used to describe the order before and after. Also, the terms "comprising" and "comprising" and any variations thereof are intended to cover non-exclusive inclusion, including, for example, a sequence of steps or units. The methods, systems, products or equipment are not limited to the explicitly recited steps or units, but may include other steps or units not explicitly recited or unique to those processes, methods, products or equipment. It's okay.

Embodiments of the present disclosure are applicable to a variety of electronic equipment, including but not limited to fixed equipment and/or mobile equipment, for example, the fixed equipment may be a personal computer (PC). ), or servers, etc. The server may be a cloud server or a general server. The mobile equipment includes, but is not limited to, one or more of a mobile phone, tablet computer or wearable equipment.

An embodiment of the present disclosure provides a resource allocation method, and as shown in FIG. 1, said method mainly includes steps 101-103.

Step 101, obtaining visit data of a target visited within a predetermined time range.

Step 102, based on the visit data of the first type of subject and the visit data of the second type of subject, a ratio parameter can be identified, the ratio parameter reflecting the subject situation of different types of subjects within a predetermined time range.

Step 103, adjust the resource allocation scheme of at least a portion of the object according to the ratio parameter and the basic data of the object, and perform resource allocation according to the adjusted resource allocation scheme.

In embodiments of the present disclosure, the predetermined time range can include a period of time beginning at a start time and ending at an end time, such as daily, weekly, monthly, quarterly, half yearly, Such as one year, the predetermined time range can be specified according to actual needs. Embodiments of the present disclosure do not limit the setting method, specific values, etc. of the predetermined time range. By way of explanation, the end time is the time before (and possibly including) the current time.

In the embodiments of the present disclosure, different segmentation criteria can be adopted according to the needs to distinguish between the first type and the second type of subjects in the subjects visited within a predetermined time range.

In some embodiments, subjects of the first type and subjects of the second type are divided according to whether they are first visits or not. Specifically, the first type of subjects includes first-time visit subjects, ie new customers, while the second type of subjects includes non-first-visit subjects, ie regular customers. For example, when customer A visits the store for the first time, it is determined that customer A belongs to the first type target, and when customer B visits the store for the second time, it is determined that customer B belongs to the second type target, When customer C visits the store for the third time, determine that customer C belongs to the second type of object.

In another embodiment, subjects of the first type and subjects of the second type are divided according to total visit time. Specifically, subjects of the first type include subjects whose accumulated visit time is less than the first time threshold up to a predetermined time, and subjects of the second type include subjects whose accumulated visit time is equal to or greater than the second time threshold until a predetermined time. including subject to Here, the predetermined point in time can be set, for example, within or before a predetermined time range, depending on needs. Further, within a given time range includes the start time, end time, or any specified time in between of the given time range. Here, the first time threshold may be the same as or different from the second time threshold, eg the first time threshold may be less than, equal to or greater than the second time threshold. For example, if the cumulative visit time of customer A up to a predetermined point in time is less than the first time threshold, customer A is determined to belong to the first type of object, and the cumulative visit time of customer B up to a predetermined point is second. If it is equal to or greater than the time threshold, it is determined that customer B belongs to the second type of object. Compared to the criteria for dividing according to whether it is the first visit or not, even if Customer A visits for the first time, since the cumulative visit time is equal to or greater than the second time threshold until a predetermined point, Customer A It is considered to belong to two types of objects. Even if customer B visits for the second time, since the cumulative visit time is less than the first time threshold, customer B is considered to belong to the first type of object. In this way, the level of purchase needs is indicated based on the length of accumulated visit time. Indicates high. Here, the accumulated visit time may not have a starting point, that is, it may be the total accumulated visit time after the target visits for the first time, or it may start from a second predetermined time point. The second predetermined time can be set before the above predetermined time according to needs.

In yet another embodiment, subjects of the first type and subjects of the second type are divided according to whether or not they are first visits and the accumulated visit time. For example, a first type of subject includes subjects who are first-time visits and visit cumulative time up to a predetermined time is less than the first time threshold; Includes objects whose accumulated time is greater than or equal to the second time threshold. For example, when customer A visits for the first time, it is determined whether customer A's cumulative visit time up to a predetermined point in time is less than the first time threshold, if so, customer A belongs to the first type of object. judge. If the customer B is a non-first visit, determine whether the cumulative visit time of the customer B up to a predetermined time is greater than or equal to the second time threshold, if so, the customer B is the second type of target Determined to belong.

Here, both the first time threshold and the second time threshold are preset time thresholds. Each of the above time thresholds can be set in advance according to the required time, cost, etc. and/or needs, and the setting method and the like are not limited here.

In an embodiment of the present disclosure, visit data is data representing target information, such as the number of visitors, the trend of change in the number of visitors, and the like. A ratio parameter is used to reflect visits of different types of objects within a given time range. For example, if the visit data for a first type of target visited within a predetermined time range is the first number of visitors, and the visit data for a second type of target is the second number of visits, then the ratio parameter is The ratio of the number of visitors to the second number of visitors, the ratio of the number of visitors to the second visit to the first number of visitors, the ratio of the number of visitors to the first visit to the target number of visitors, the ratio of the number of visitors to the second visit and the target number of visitors at least one term of the value of the ratio of

Here, 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 a predetermined time range.

Here, the value of the ratio between the number of first visits and the number of second visits may reflect the ratio of the number of visitors between the first type target and the second type target within a predetermined time range. For example, if the number of first-time visitors is A1 and the number of non-first-time visitors is B1 within a predetermined time range, the ratio between the number of first and second visitors is A1/B1. For example, if A2 is the number of visitors within a predetermined time range whose accumulated visit time is less than the first time threshold up to a predetermined time, and B2 is the number of visitors whose accumulated visit time is equal to or greater than the second time threshold, then the first number of visitors and the second number of visitors is A2/B2. Further, for example, within a predetermined time range, A3 is the number of visitors who are first-time visitors and whose accumulated visit time is less than the first time threshold up to a predetermined point in time, and who are non-first-time visitors and whose accumulated visit time is up to a predetermined point. is equal to or greater than the second time threshold is B3, the ratio between the first visitor and the second visitor is A3/B3.

Here, the value of the ratio of the number of second visitors to the first number of visitors can reflect the ratio of the number of visitors of the second type target to the first type target within a predetermined time range. For example, if the number of first-time visitors is A1 and the number of non-first-time visitors is B1 within a predetermined time range, the ratio of the number of second visitors to the number of first visitors is B1/A1. For example, if A2 is the number of visitors within a predetermined time range whose accumulated visit time is less than the first time threshold up to a predetermined time, and B2 is the number of visitors whose accumulated visit time is equal to or greater than the second time threshold, then the second number of visitors and the number of first visitors is B2/A2. Further, for example, within a predetermined time range, A3 is the number of visitors who are first-time visitors and whose accumulated visit time is less than the first time threshold up to a predetermined point in time, and who are non-first-time visitors and whose accumulated visit time is up to a predetermined point. is B3, the ratio of the second visitor to the first visitor is B3/A3.

Here, the value of 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 target to the target target within a predetermined time range. If the target number of visitors includes the total number of visitors within the predetermined time range, the ratio value of the first number of visitors to the target number of visitors is the ratio of all the subjects of the first type visited within the predetermined time range. It can reflect the ratio that it occupies. For example, if the number of first-time visitors is A1, the number of non-first-time visitors is B1, and the total number of visitors is A1+B1=Q, the ratio of the number of first-time visitors to the total number of visitors is A1. /Q, or A1/A1+B1. Further, for example, if the number of visitors within a predetermined time range whose cumulative visit time is less than the first time threshold is A2 and the total number of visitors is Q, the first number of visitors is equal to the total number of visitors. The occupied ratio is A2/Q. Further, for example, if A3 is the number of visitors within a predetermined time range who is the first visit and the accumulated visit time up to a predetermined time point is smaller than the first time threshold, and the total number of visitors is Q, then the first number of visitors is The ratio to the total number of visitors is A3/Q. If the target subjects include a set of first type subjects and second type subjects visited within a predetermined time range, the value of the ratio of the first number of visitors to the target number of visitors is It can reflect the percentage of the sum of objects of type 1 and objects of type 2. For example, if the number of first-time visitors is A1 and the number of non-first-time visitors is B1 within a predetermined time range, 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. Further, for example, within a predetermined time range, if the number of visitors whose cumulative visit time is less than the first time threshold up to a predetermined point in time is A2, and the number of visitors whose cumulative visit time is equal to or greater than the second time threshold is B2, then the first number of visitors is The ratio of the sum of the number of first visits and the number of second visits is A2/A2+B2. Further, for example, within a predetermined time range, A3 is the number of visitors who are first-time visitors and whose accumulated visit time is less than the first time threshold up to a predetermined point in time, and who are non-first-time visitors and whose accumulated visit time is up to a predetermined point. is equal to or greater than the second time threshold is B3, the ratio of the first visitor to the sum of the first visitor and the second visitor is A3/A3+B3.

Here, the value of the ratio of the second number of visitors to the target number of visitors may reflect the ratio of the number of visitors of the second type target to the target target within a predetermined time range. If the target number of visitors includes the total number of visitors within the predetermined time range, then the ratio value of the second type of visitors to the target number of visitors is the total number of visitors of the second type that includes all the subjects visited within the predetermined time range. It is possible to reflect the proportion of For example, if the number of first-time visitors is A1, the number of non-first-time visitors is B1, and the total number of visitors is A1+B1=Q, the ratio of the second number of visitors to the total number of visitors is B1/Q or B1/A1+B1. Further, for example, if the number of visitors within a predetermined time range whose cumulative visit time is less than the first time threshold is B2 and the total number of visitors is Q, the second number of visitors is equal to the total number of visitors. The occupied ratio is B2/Q. Furthermore, for example, within a predetermined time range, if the number of visitors who are non-first visits and whose accumulated visit time is equal to or greater than the second time threshold up to a predetermined point in time is B3, and the total number of visitors is Q, then the second visit The ratio of the number of people to the total number of visitors is B3/Q. If the target subjects include a set of subjects of the first type and subjects of the second type visited within the predetermined time range, the ratio value of the second number of visitors to the target number of visitors is A ratio of the sum of the number of visitors and the number of second visitors can be reflected. For example, if the number of first-time visitors is A1 and the number of non-first-time visitors is B1 within a predetermined time range, the ratio of the number of second visitors to the sum of the number of first and second visitors is B1. /A1+B1. Also, for example, within a predetermined time range, if the number of visitors whose cumulative visit time is less than the first time threshold up to a predetermined point in time is A2, and if the number of visitors whose accumulated visit time is equal to or greater than the second time threshold is B2, then the second visit 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. Further, for example, within a predetermined time range, A3 is the number of visitors who are first-time visitors and whose accumulated visit time is less than the first time threshold up to a predetermined point in time, and who are non-first-time visitors and whose accumulated visit time is up to a predetermined point. If the number of visitors equal to or greater than 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.

In the embodiment of the present disclosure, the basic data is data for representing the characteristics of the subject, for example, the basic data can include at least one type of data such as age, gender, occupation, educational background, income level, etc.

In embodiments of the present disclosure, at least some of the objects include objects whose underlying data meet predetermined conditions. Here, the predetermined conditions can be set in advance depending on the time required, cost, etc. and/or needs, and the setting method and the like are not limited here. For example, at least some of the subjects may include subjects for which valid data is generated, such as subjects whose total visit time exceeds a certain time threshold, regular customers, contracted customers, and the like.

Additionally, resource allocation schemes for at least some targets can be adjusted. For example, based on the ratio of new customers to regular customers and taking the age group of 25-35 as a predetermined condition, the resource allocation scheme can be adjusted for at least some subjects whose underlying data meet the predetermined condition. Further, for example, based on the ratio of new customers to regular customers, and with male as a predetermined condition, the resource allocation scheme can be adjusted for at least some of the targets whose basic data satisfy the predetermined condition. Also, for example, the resource allocation scheme can be adjusted based on the ratio of new customers to all targets and with the predetermined condition that the income level is 300,000 or more.

In the technical solution provided by the embodiments of the present disclosure, obtaining visit data of a target to be visited within a predetermined time range, based on the first type of target visit data and the second type of target visit data, , identifying a rate parameter, adjusting a resource allocation scheme of at least a portion of the subject based on the rate parameter and the underlying data of the subject, and performing resource allocation according to the adjusted resource allocation scheme. In this way, it is possible to save the time required for organizing the data, that is, to solve the problem of the labor required for manually organizing the data. and a resource allocation strategy for at least some of the subjects based on ratio parameters identified by the visit data of the subjects of the first type and the visit data of the subjects of the second type within a predetermined time range and the underlying data of the subjects. can be adjusted to rationally allocate limited resources. Resource allocation according to a coordinated resource allocation scheme can further improve customer experience and sales conversion rates.

In order to better understand the visit data, in some embodiments, before obtaining the visit data of the objects visited within a predetermined time range, images are acquired in real time, the images are subjected to image identification processing, An image identification result is obtained, and when the image identification result includes facial features and/or human body features, database matching is performed on the image identification result, and when an image template in the database is matched, a history stored in association with the image template. update the visit record and basic data, add the image identification result as the corresponding object image template if the image template in the database is not matched, and collect the corresponding object basic data and new history visit record further comprising storing in association with.

In embodiments of the present disclosure, images can be acquired in real-time in a variety of ways. For example, it can receive images transmitted from an image acquisition device, or it can receive images transmitted from other equipment using a communication device.

In some embodiments, the face identification technology can perform image identification processing on the acquired image to obtain the facial feature identification result of the image. And/or the human body identification technology can perform image identification processing on the acquired image to obtain the human body feature identification result of the image. The present application does not specifically limit face identification technology and human body identification technology.

In some embodiments, an image identification process is performed on the acquired image, and if the image identification result includes facial features and/or body features, the image identification result is matched to a database. When an image template in the database is matched, the historical visit record and underlying data stored in association with the image template are updated.

Here, the basic data and historical visit records can be stored in whole or in part in the form of tag information. Thereby, tag information corresponding to the matching image template can be identified in response to the existence of the target matching image template in the database. The tag information includes information indicating whether or not it is the first visit and the number of visits. Here, the image template includes, but is not limited to, a human body template or a face template. Databases include, but are not limited to, human body template libraries or face template libraries.

Illustratively, a database stores the subject's historical visit records. The historical visit record includes at least identifier (ID) information and visit time information stored in association with the image template. Assign an identifier to each object. Assign only one identifier to the same object. In this way, it is possible to determine whether the currently visited target is a first-time visitor or a non-first-time visitor by specifying whether or not there is target identifier information that matches the image identification result.

In the above aspect, preferably, if the image template is not matched, the method adds the image identification result as the corresponding subject's image template, and associates it with the corresponding subject's basic data and new historical visit records that are collected. and storing. Here, in response to the lack of an image template matching the object in the database, an image template for the corresponding object can be created in the database and tag information can be assigned to the object. The tag information includes information for indicating the first visit. In this way, if there is no matching image template, the database can be supplemented with the image identification result of the object as the corresponding image template, and the database can be replenished with data, so that if the object visits again, subsequent queries can be made. Helpful.

In some embodiments, adjusting at least some of the subject's resource allocation schemes based on the ratio parameter and the subject's underlying data includes identifying a target resource allocation scheme that meets a predetermined condition; adjusting a resource allocation scheme for at least some of the subjects based on the parameter and the target resource allocation scheme, wherein the underlying data for at least some of the subjects meets the predetermined condition.

In some embodiments, by obtaining a target resource allocation scheme based on the historical allocation situation of similar underlying data, at least some target resource allocation schemes can be adjusted. Thus, by adjusting the resource allocation scheme for at least some of the targets with reference to the historical data, resource allocation can be performed for at least some of the targets according to the adjusted resource allocation scheme; This helps improve customer experience and sales conversion rates for at least some targets.

In order to better and rationally allocate limited resources, in some embodiments, adjusting at least some target resource allocation schemes based on the ratio parameter and the target resource allocation scheme includes: identifying a resource allocation strategy for subjects of the second type in the target resource allocation strategy if the visit data for subjects of the second type indicates that the first predetermined condition is met; and/or the ratio parameter is the first. identifying a resource allocation scheme for subjects of the first type of the target resource allocation schemes if the visit data for the type of subject indicates that the second predetermined condition is satisfied.

In embodiments of the present disclosure, a first predetermined condition is used to represent changes in visit data for a second type of subject. For example, the first predetermined condition may be used to represent that the quantity is increasing or exhibiting an upward trend, or used to represent that the quantity is decreasing or exhibiting a downward trend, or a relative It can be used to express that a change is stable, or it can be used to express that there is no change, that is, no tendency to change. A second predetermined condition is used to represent changes in visit data for the first type of subject. For example, the second predetermined condition may be used to express that the quantity is increasing or exhibiting an upward trend, or used to express that the quantity is decreasing or exhibiting a downward trend, or a relative It can be used to express that a change is stable, or it can be used to express that there is no change, that is, no tendency to change.

It should be noted that if the first and second type targets are different, the first and second predetermined conditions are also different.

Illustratively, if the first type of object refers to new customers and the second type of object refers to regular customers, the first predetermined condition is used to represent changes in the regular customer visit data and the second Predetermined conditions are used to represent changes in new customer visit data.

Illustratively, a first type target refers to a target whose cumulative visit time is less than the first time threshold up to a predetermined point in time, and a second type target refers to a target whose cumulative visit time is greater than or equal to the second time threshold up to a predetermined point in time. , the first predetermined condition is used to represent a change in the number of subjects whose cumulative visit time is equal to or greater than the second time threshold, and the second predetermined condition is used to express the cumulative visit time being less than the first time threshold. Used to describe changes in the number of objects.

Illustratively, the first type of subject refers to a subject who is a first visit and has a cumulative visit time less than the first time threshold up to a predetermined point in time, and the second type of subject is a non-first visit and a predetermined When referring to subjects whose cumulative visit time is equal to or greater than the second time threshold, the first predetermined condition is used to represent a change in the number of subjects who are non-first visits and whose cumulative visit time is equal to or greater than the second time threshold. , the second predetermined condition is used to represent the change in the number of subjects who are first visits and whose cumulative visit time is less than the first time threshold.

In some examples, the resources include online resources and/or offline resources. Online resources include service resources based on websites, and offline resources include service resources based on brick-and-mortar stores.

Adjusting the resource allocation scheme in step 103 includes adjusting online resource configuration data and/or offline resource configuration data.

In an embodiment of the present disclosure, the content of online resource configuration data includes at least one of sales price, after-sales service, resource configuration data push method. Here, the resource configuration data push scheme includes at least one of resource configuration data push time, two adjacent resource configuration data push intervals, and resource configuration data push path. For example, the online resource configuration data may include one or a combination of items of content such as product display location on a web page, display time, advertisement push content, television broadcast, and the like. Of course, more or less content than those exemplified above can be included, and the specific content of the online resource configuration data is not limited here. According to different scenes and needs, the same or different online resource configuration data can be selected.

In embodiments of the present disclosure, the content of the offline resource configuration data includes at least one of: customer service representative or follow-up representative, sales price, after-sales service, resource configuration data push method. Here, the resource configuration data push scheme includes at least one of resource configuration data push time, two adjacent resource configuration data push intervals, and resource configuration data push path. For example, the off-line resource configuration data includes contents such as the person in charge of customer service at the actual store, the placement position of the signboard at the actual store, the placement position of the product at the actual store, and the frequency and time of displaying the target of the display screen at the actual store. It can include one term or a combination of multiple terms. Of course, more or less content than those exemplified above can be included, and the specific content of the offline resource configuration data is not limited here. The same or different offline resource configuration data can be selected according to different scenes and needs.

Adjusting online resource configuration data and/or offline resource configuration data in this manner helps to more rationally allocate and utilize limited resources, thereby improving customer experience and sales conversion rates. can be done.

Illustratively, adjusting the online resource configuration data and/or the offline resource configuration data if the number of new customer visits decreases or exhibits a decreasing trend within a predetermined time range. For example, adjusting the content of the online resource configuration data includes lowering the selling price of the product, extending the warranty period, increasing the supplementary gift, increasing the amount of cashback, and increasing the frequency of pushing messages. For example, adjusting the content of the offline resource configuration data can increase the amount of cash back received after a regular customer recommends a new customer, decrease the selling price of the product, extend the warranty period, and increase the quality of the gift. , including an increase in message push frequency.

Illustratively, if the number of patron visits decreases or exhibits a decreasing trend within a predetermined time range, the online resource configuration data and/or the offline resource configuration data are adjusted, e.g., the content of the online resource configuration data Adjustments include lowering product selling prices, extending warranties, increasing complementary gifts, increasing cashback amounts, and increasing the frequency of message pushes. For example, adjusting the content of offline resource configuration data can be done by replacing follow-up personnel, lowering product selling prices, extending warranty periods, increasing supplementary gifts, increasing cashback amounts, and pushing messages. Including increased frequency.

In order to make it easier to manage resources uniformly, the same type of consumption group can be assigned the same type of resource, for example, the same seller can be assigned and processed, and marketing policies, etc. according to the attributes of the consumption group formulate In some embodiments, step 103 includes identifying a consumption group based on the underlying data and identifying the same resource allocation scheme for objects belonging to the same consumption group. Here, specifying the same resource allocation scheme for objects belonging to the same consumption group means specifying the attributes of the consumption group based on the basic data and formulating the resource configuration data scheme according to the attributes of the consumption group. and including. In an embodiment of the present disclosure, a consumption group is a group that can represent corresponding attributes of objects. For example, groups can be gender, age group, occupation, geographic location, and the like.

In some embodiments, developing a resource configuration data scheme includes matching, flowing, and recombining resource configuration data within quantitative, temporal, and spatial boundaries. In this way, a reasonable resource configuration data adjustment method can be provided based on the target consumption group attributes, and it is helpful to carry out intentional work and services based on the resource configuration data adjustment method. In other words, when locking the core factors that affect the delivery amount based on the result of organizing the attributes of the consumer group, it is possible to improve the customer experience and sales conversion rate by rationally planning the resource allocation method based on the target product. means.

Considering that the trend of change can more effectively reflect the rationality or validity of resource configuration data, in one implementation, the evaluation result of the current resource configuration data can be determined based on the trend of change. Specifically, in some embodiments, Step 103 evaluates resource configuration data based on the ratio parameter to obtain an evaluation result of the resource configuration data; and adjusting.

In embodiments of the present disclosure, the resource configuration data may be resource configuration data associated with a targeted product sales event. For example, it is used to reflect the data corresponding to each resource in the resource allocation scheme adopted for the target product. Here, resource configuration data includes, but is not limited to, one or more combinations of quantity configuration, time configuration, space configuration, personnel configuration, information network configuration, and the like.

In embodiments of the present disclosure, evaluation results can be used to reflect the impact of the current resource configuration running for some time. Here, the evaluation result includes at least two levels, different types of resource configuration data to be adjusted corresponding to different levels, and/or different resource configuration data adjusting methods corresponding to different levels. In this way, providing the evaluation result of the resource configuration data helps to subsequently provide an adjustment method for the resource configuration data based on the evaluation result, so that the staff can work intentionally based on the adjustment method. and services, thereby increasing passenger numbers.

In some embodiments, adjusting the resource allocation scheme based on the evaluation result is such that if the evaluation result is a first evaluation result, the first evaluation result indicates that subjects of the first type exhibit a downward trend. representing and improving the number of visitors of the first type of subject by adjusting the content of resource configuration data including online resource configuration data and/or offline resource configuration data. In this way, it helps staff to perform purposeful work and services based on coordinated resource configuration data schemes, thereby improving visitor numbers for the first type of target. Similarly, if the evaluation result is a second evaluation result, the second evaluation result indicates that the subject of the second type exhibits a downward trend, and resource configuration data including online resource configuration data and/or offline resource configuration data. increasing the number of visitors of the second type of target by adjusting the content of the In this way, it helps staff perform purposeful work and services based on coordinated resource configuration data schemes, thereby improving visitor numbers for the second type of target.

The technical solution according to the embodiments of the present disclosure can effectively reflect whether the resource configuration data of the target product is reasonable or not, so that the evaluation result is more directional, that is, the target Analyze resource configuration data for products only. In this way, the evaluation result of the resource configuration data of the target product can be obtained based on the obtained ratio parameter, whereby the resource configuration data for the target product, that is, the resource configuration situation can be reasonably determined based on the evaluation result. can be adjusted. It further improves customer experience and sales conversion rate by rationally planning resource configuration data based on target products when locking core factors affecting visit volume based on data reduction results.

To facilitate efficient management of in-store personnel responsible for customer follow-up, in some embodiments, the method matches image templates and tags information to match the subject to a non-first-time visit. tag of the object by the electronic equipment by identifying the customer identifier information associated with the object and transmitting the tag information of the object and the customer identifier information to the electronic equipment. displaying the information and the waiter identifier information.

In this way, it is possible to accurately and quickly determine whether a customer is a new customer or a regular customer, improve the accuracy of whether the target customer is a new customer or a regular customer, and further assist the store in finding good customers. can do. In addition, compared to the fact that it is easy for the receptionist of a store to make a mistake when assigning a regular customer to the person in charge of customer service whom the regular customer has visited before based on memory, the present application is based on the characteristic analysis of the acquired image. The scheme of identifying previously assigned attendants to patrons helps improve accuracy rates and prescriptive sales contact flows.

To facilitate efficient management of in-store personnel responsible for customer follow-up, in some embodiments, the method includes: and establishing and storing an association relationship between the object identifier information and the host identifier information.

By establishing a relationship between the identifier information of the object and the identifier information of the person in charge of customer service in this way, when the object visits next time, the person in charge of customer service who served the object last time can be quickly determined. thereby helping to ensure that the same attendant follows up and services the subject each time the subject visits.

As one embodiment, obtaining the identifier information of the host assigned to the object can include receiving the identifier information of the host assigned to the object transmitted from the terminal. In this way, the manager can allocate the customer service representative to the first visit target based on the allocation information input by the manager on the terminal side.

In one embodiment, obtaining the identifier information of the host assigned to the target assigns the identifier information of the host to the target based on the number of online terminals and/or work status reported from the online terminals. can include Thus, based on the number of online terminals and/or the work status reported by the online terminals, assignments can be made quickly to rationally assign attendants to subjects.

In some embodiments, the method may be performed by a server, which may be a cloud server and/or a front-end server. For example, the above method is implemented by a front-end server (eg, a video all-in-one) and a cloud server. Here, the front-end server performs face and body tracking on the acquired image, obtains the face and body tracking result, and based on what image information based on the quality of the face and/or body image Then, the specified image information is transmitted to the cloud server. After receiving the image information sent by the front-end server, the cloud server queries the corresponding database according to the received image information to obtain the identification result, and sends the terminal various corresponding processing results, For example, the target tag information, the identifier information of the person in charge of customer service, the evaluation result of the resource configuration data, and the adjustment method of the resource configuration data are transmitted, but the embodiments of the present disclosure are not limited to these.

In implementing any of the above methods in an embodiment of the present application, as shown in FIG. 2, the method includes steps 201 and 202 as follows.

Step 201, receiving tag information of an object and identifier information of a waiter associated with the object if the tag information indicates that the object is a non-first visit.

Step 202, displaying the tag information of the object and the identifier information of the customer service representative;

In this way, it is possible to provide the tag information of the object and the identifier information of the person in charge of customer service who serves the object. Easy to assign personnel. thereby further improving customer experience and sales conversion rates.

In some embodiments, the method includes obtaining and displaying a waiter identifier information assigned to the object if the tag information indicates that the object is a first visit; and transmitting the identified customer identifier information.

Illustratively, if the tag information indicates that the object is a first-time visit, the terminal obtains the identifier information of the customer assigned to the object, and displays the identifier information of the customer. Here, the method by which the terminal acquires the identifier information is, for example, manual input by the terminal user or automatic assignment by the server. In this way, quick assignment of customer service tasks can be realized, and the staff perform intentional work and services based on the assignment information, which is useful for improving work efficiency.

In some examples, the method further includes displaying the target tag information and the hostess identifier information on the target notification screen. In this way, the terminal user is useful in timely learning the information of the target and the person in charge of customer service from the target notification screen.

In some embodiments, the method further includes obtaining an input query term including at least a predetermined time range and transmitting the query term to a server. In this way, the terminal can be provided with the target tag information and the customer identifier information suitable for the query condition, which helps to realize the rapid assignment of customer service tasks, and the staff can perform tasks based on the assignment information. It helps to perform purposeful work and service on the customer side, improving customer experience and sales conversion rates.

FIG. 3 is a schematic diagram of a terminal-side output target notification screen according to an embodiment of the present disclosure. As shown in FIG. 3, tag information of each target is displayed on the target notification screen, for example, first visit and Nth visit, where N is a positive integer of 2 or more. The object notification screen further displays the identifier of the person in charge of customer service for each object, such as the name or employee number of the person in charge of customer service. As a matter of course, information such as whether or not each target has decision-making power can be further displayed on the target notification screen.

The target notification screen allows the store reception and sales personnel to know specifically who will follow up on each target, and the store reception can be informed of the information displayed on the target notification screen. Based on this, it is easy to recommend customer service personnel to different targets, and it is useful for standardizing the sales customer service flow.

It should be understood that the target notification screen shown in FIG. 3 is a preferred specific implementation method, and those skilled in the art can make various obvious changes and/or replacements based on the example of FIG. The technical solutions obtained still belong to the disclosure scope of the embodiments of the present disclosure.

FIG. 4 is a schematic diagram of a data display screen according to an embodiment of the present disclosure; As shown in FIG. 4, the display screen displays the store model popularity ranking, and also displays other data such as the number of real-time customers, the ratio of new customers to regular customers, age distribution, and gender distribution. From the display screen, the 4S shop's sales representatives and stores are made to know the degree of attention and popularity of each target car model, and the car model arrangement in the 4S shop while referring to the needs for the spread of store car models and marketing policies. and provide data support for effectiveness feedback of marketing events. Especially for local companies, dealers and manufacturers, it is possible to remotely know the strength of attention to each model of the target group of each store, and support management decisions and evaluation of work effects for sales/stores.

It should be understood that the display screen shown in FIG. 4 is a preferred specific implementation, and those skilled in the art can and can make various obvious changes and/or substitutions based on the example of FIG. The technical solutions presented still belong to the disclosure scope of the embodiments of the present disclosure.

Corresponding to the above resource allocation method, an embodiment of the present disclosure provides a resource allocation device, which is applied to electronic equipment, as shown in FIG. 5, the device comprises:
an acquisition module 10 for acquiring visit data of a subject visited within a predetermined time range;
an identification module 20 for identifying a ratio parameter based on the first type subject visit data and the second type subject visit data;
an allocation module 30 for adjusting a resource allocation scheme for at least some subjects based on the ratio parameter and the subject's underlying data, and for performing resource allocation according to the adjusted resource allocation scheme.

In the above aspect, preferably, the identification module 20 is used to identify the first type object and the second type object among the objects visited within a predetermined time range. Illustratively, subjects of the first type include first-visit subjects and/or subjects whose accumulated visit time up to a predetermined point in time is less than a first time threshold, and subjects of the second type include non-first-visit subjects. , and/or subjects whose cumulative visit time is greater than or equal to a second time threshold until a predetermined time. Here, the first time threshold may be less than, equal to or greater than the second time threshold.

In one embodiment, the acquisition module 10 acquires an image in real time, performs image identification processing on the image, obtains an image identification result, and if the image identification result includes facial features and/or human body features, image identification Database matching is performed on the result, and if the image template in the database is matched, the history visit record and basic data stored in association with the image template are updated, and if the image template in the database is not matched, the image identification result is handled. It is added as an image template of the subject to be visited and used to store in association with the corresponding subject's basic data and new historical visit records to be collected. Further, the acquisition module 10 can associate and store historical visit records and basic data in the form of tag information.

In one embodiment, the allocation module 30 is configured to identify a target resource allocation scheme that meets a predetermined condition and adjust at least some of the target resource allocation schemes based on the ratio parameter and the target resource allocation scheme. used, and at least some of the subject's underlying data satisfy the predetermined condition.

In one embodiment, the allocation module 30 comprises a resource allocation scheme for subjects of the second type among target resource allocation schemes, if a ratio parameter indicates that visit data of subjects of the second type satisfies a first predetermined condition. and/or identifying a resource allocation strategy for subjects of the first type among the target resource allocation strategies if the ratio parameter indicates that the visit data for subjects of the first type satisfies a second predetermined condition used for

Preferably, the visit data includes the number of visitors, and the ratio parameter is a ratio value between the number of visitors of the first type of subjects and the number of visitors of the second type of subjects, the number of visitors of the second type of subjects and the first At least one of the ratio of the number of visitors of the type 1 target, the ratio of the number of visitors of the first type to the target number of visitors, and the ratio of the number of visitors of the second type to the target number of visitors contains terms. Here, the target number of visitors includes the sum of the number of visitors of the first type target and the number of visitors of the second type target, or the target number of visitors includes the total number of visitors within a predetermined time range.

In one embodiment, the resources include online resources and/or offline resources, the online resources include website-based service resources, and the offline resources include brick-and-mortar store-based service resources. The allocation module 30 is used to adjust online resource configuration data and/or offline resource configuration data.

In the above aspect, preferably, the content of the online resource configuration data includes at least one of sales price, after-sales service, resource configuration data push method, and the content of the offline resource configuration data includes at least a customer service representative or a follow-up including one of the person in charge, sales price, after-sales service, and resource configuration data push method, and the resource configuration data push method includes at least resource configuration data push time, two adjacent resource configuration data push intervals, resource Contains one of the configuration data push paths.

In some embodiments, the device includes a communication module for displaying the target tag information and the waiter identifier information by the terminal by transmitting the target tag information and the waiter identifier information to the terminal. 40 (not shown in FIG. 5).

As those skilled in the art will appreciate, in some preferred embodiments, each processing module in the resource allocation apparatus shown in FIG. It can be understood with reference to the related description, and may be implemented by a program executed by a processor, or may be implemented by a specific logic circuit.

In practical application, the specific structures of the acquisition module 10, the identification module 20, the allocation module 30 and the communication module 40 can all correspond to the processor. Specific structures of the processor include 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). It may be an electronic component or a set of electronic components having processing functions such as. Here, the processor includes executable code, the executable code is stored in a storage medium, the processor is connected to the storage medium via a communication interface such as a bus, and the corresponding To perform a function, executable code is read from the storage medium and executed. Preferably, the storage medium is a non-transitory storage medium for storing executable code.

The resource allocation device according to the embodiment of the present disclosure can save the time required for data organization, that is, solve the problem of time-consuming and labor-intensive data organization. and a resource allocation strategy for at least some of the subjects based on ratio parameters identified by the visit data of the subjects of the first type and the visit data of the subjects of the second type within a predetermined time range and the underlying data of the subjects. can be adjusted to rationally allocate limited resources.

Embodiments of the present disclosure further describe a resource allocation facility, the facility including a memory, a processor, and a computer program stored in the memory and executable by the processor, wherein the processor, when executing the computer program, Implementing the resource allocation method described in any one of the above technical solutions.

In one embodiment, the processor, when executing the computer program, obtains visit data of subjects visited within a predetermined time range, and based on the visit data of the first type of subjects and the visit data of the second type of subjects, to identify a ratio parameter, adjust a resource allocation scheme of at least a portion of the object based on the ratio parameter and the underlying data of the object, and implement resource allocation according to the adjusted resource allocation scheme.

As an embodiment, the processor, when executing the computer program, identifies a first type of target among the targets visited within a predetermined time range, among which the target is the first visit and/or is smaller than a first time threshold as a first type of subject, and among the subjects visited within a predetermined time range, a second type of subject is identified, among which it is a non-first visit and / or a predetermined time point It is realized to specify a target whose cumulative visit time is equal to or greater than the second time threshold as a target of the second type. Here, the first time threshold may be less than, equal to or greater than the second time threshold.

In one embodiment, the processor, when executing the computer program, acquires an image in real time, performs image identification processing on the image, obtains an image identification result, and the image identification result includes facial features and/or body features. database matching is performed on the image identification result, if the image template in the database is matched, the history visit record and basic data stored in association with the image template are updated, and if the image template in the database is not matched, the image The identification 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 arrived history visit record.

In one embodiment, the processor implements to associate and store historical visit records and underlying data in the form of tag information when executing the computer program.

In one embodiment, the processor, when executing the computer program, identifies a target resource allocation scheme that meets a predetermined condition, and selects at least a portion of the target resource allocation scheme based on the ratio parameter and the target resource allocation scheme. adjusting, and at least some of the subject's underlying data meet the predetermined condition.

In one embodiment, the processor, when executing the computer program, if the ratio parameter indicates that the visit data of the subjects of the second type meet the first predetermined condition, then the subjects of the second type of the target resource allocation scheme are selected. and/or if the ratio parameter indicates that visit data for subjects of the first type satisfies a second predetermined condition, resource allocation for subjects of the first type in the target resource allocation scheme It is realized to specify the method.

In the above aspect, preferably, the visit data includes the number of visitors, and the ratio parameter is a ratio value between the number of visitors of the first type target and the number of visits of the second type target, the visit number of the second type target The ratio of the number of visitors to the number of visitors of the first type, the ratio of the number of visitors to the number of visitors of the first type to the target number of visitors, the ratio of the number of visitors to the number of visitors of the second type to the target number of visitors wherein the target number of visitors comprises the sum of the number of visitors of the first type of target and the number of visitors of the second type of target; or the target number of visitors is the total within a predetermined time range. Including the number of visitors.

In one embodiment, the processor implements coordinating online resource configuration data and/or offline resource configuration data when executing the computer program, the online resource includes a website-based service resource, and the offline resource is , including service resources based on brick-and-mortar stores.

In one embodiment, when the processor executes the computer program, the content of the online resource configuration data includes at least one of sales price, after-sales service, and resource configuration data push method, and the content of the offline resource configuration data is , at least a customer service representative or follow-up person, sales price, after-sales service, resource configuration data push method, wherein the resource configuration data push method is at least resource configuration data push time, two adjacent times Implementation includes one of resource configuration data push interval, resource configuration data push path.

The resource allocation facility according to the embodiments of the present disclosure can save time on data cleanup, ie, solve the time-consuming and labor-intensive problem of manually cleaning data. and a resource allocation strategy for at least some of the subjects based on ratio parameters identified by the visit data of the subjects of the first type and the visit data of the subjects of the second type within a predetermined time range and the underlying data of the subjects. can be adjusted to rationally allocate limited resources.

In addition to the apparatus shown in FIG. 5, as shown in FIG. 6, the apparatus may provide tag information for an object and a customer service representative associated with the object if the tag information indicates that the object is a non-first visit. and a display processing module 60 for displaying the target tag information and the waiter's identifier information.

In the above aspect, preferably, the device includes an acquisition module 70 ( 6) and a transmission processing module 80 (not shown in FIG. 6) for transmitting identifier information of the host assigned to the object to the server.

As one embodiment, the display processing module 60 is used to display target tag information and customer service staff identifier information on the target notification screen.

As those skilled in the art will appreciate, in some preferred embodiments, each processing module in the resource allocation device shown in FIG. Its implementation function can be understood with reference to the related description of the above resource allocation method. As understood by those skilled in the art, the function of each processing unit in the resource allocation apparatus shown in FIG. 6 may be implemented by a program executed by a processor, or may be implemented by a specific logic circuit.

In practical application, the specific structures of the receiving module 50, the display processing module 60, the acquiring module 70 and the transmitting processing module 80 can all correspond to the processor. The specific structure of the processor may be an electronic component or set of electronic components with processing capabilities, such as a CPU, MCU, DSP or PLC. Here, the processor includes executable code, the executable code is stored in a storage medium, the processor is connected to the storage medium via a communication interface such as a bus, and the corresponding To perform a function, executable code is read from the storage medium and executed. Preferably, the storage medium is a non-transitory storage medium for storing executable code.

The resource allocation device according to the embodiment of the present disclosure makes it easy for the terminal user to know the tag information of the target that the terminal user is currently visiting in a timely manner, and to allocate a customer service representative based on the tag information. thereby further improving customer experience and sales conversion rates.

Embodiments of the present disclosure further describe a resource allocation facility, the facility including a memory, a processor, and a computer program stored in the memory and executable by the processor, wherein the processor, when executing the computer program, Implementing the resource allocation method described in any one of the above technical solutions.

In one embodiment, the processor, when executing the computer program, generates tag information for a target and identification information of a waiter associated with the target if the tag information indicates that the target is a non-first visit. It is realized to receive and display the tag information of the object and the identifier information of the person in charge of customer service.

In one embodiment, the processor, when executing the computer program, obtains and displays the identification information of the waitstaff assigned to the object if the tag information indicates that the object is a first-time visit, and stores the corresponding information in the server. It is realized to transmit the identifier information of the customer service representative assigned to the object.

As one embodiment, the processor realizes displaying the tag information of the target and the identifier information of the person in charge of customer service on the target notification screen when executing the computer program.

The resource allocation facility provided by the embodiments of the present disclosure makes it easy for the terminal user to timely know the tag information of the object that the terminal user is currently visiting, and to allocate the reception staff based on the tag information. thereby further improving customer experience and sales conversion rates.

Embodiments of the present disclosure further describe a computer storage medium, on which computer-executable instructions are stored, the computer-executable instructions for performing the resource allocation methods described in each of the preceding embodiments. used for That is, after the computer-executable instructions are executed by the processor, the resource allocation methods provided by any of the above technical solutions can be implemented.

As those skilled in the art will understand, the function of each program in the computer storage medium of this embodiment can be understood by referring to the related description of the resource allocation method applied to the electronic equipment described in each of the preceding embodiments. be able to.

An embodiment of the present disclosure further describes a computer program, including computer-executable code, when the computer-executable code is executed in an equipment, a processor in the equipment performs any of the above technical solutions. The provided resource allocation method can be implemented.

Additionally, it should be understood that each preferred embodiment listed herein is a It is only exemplary, is used to help those skilled in the art to better understand the technical solutions of the embodiments of the present disclosure, and should not be understood to limit the embodiments of the present disclosure, Those skilled in the art can make various modifications and substitutions based on each preferred embodiment described herein, which should be understood as part of the embodiments of this disclosure.

In addition, the description of the technical solutions in this specification focuses on highlighting the differences of each embodiment, and the same or similar features can be referred to each other, and for the sake of brevity, the description is omitted.

It should be understood that in some of the embodiments provided by this application, the disclosed apparatus and method can be implemented in other manners. The embodiment of the equipment described above is only an example, for example, the division of the units is only a logical function division, and can have other division schemes when actually implemented. For example: multiple units or assemblies may be combined or integrated into other systems, or some features may be ignored or not performed. Also, any coupling or direct coupling or communicative connection between each component shown or discussed may be through an indirect coupling or communicative connection of some interface, facility or unit. may be electrical, mechanical or otherwise.

The units described as separate members may be or may be physically separated, and members denoted as units may be physical units, Or it may not be a physical unit, it may be located in one place, it may be distributed in multiple network units, and some or all of them may be selected according to actual needs. The object of the solution of the embodiment can be realized.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may be independently one unit, and two or more units may be combined into one unit. may be integrated into The integrated unit may be implemented in the form of hardware or in the form of hardware and software functional units.

A person skilled in the art will know that all or part of the steps for implementing the above method embodiments can be completed by instructing the relevant hardware by a program, and the above program can be stored in a computer readable memory. can be stored in a medium, and when the program is executed, steps including the above method embodiments are performed; It can be understood to include various media capable of storing program code such as access memory (RAM, Random Access Memory), magnetic or optical discs.

Alternatively, the above integrated units of the present application may be implemented in the form of software functional modules and stored on a computer readable storage medium when sold or used as independent products. Based on this understanding, the technical solutions of the embodiments of the present disclosure can be embodied in the form of software products, which are essentially or contribute to the prior art, and the computer software products are: , stored on a storage medium and comprising a plurality of instructions for causing computer equipment (which may be a personal computer, server, network equipment, etc.) to perform all or part of the method described in each embodiment of this application. . The aforementioned storage media include media capable of storing various program codes such as removable storage devices, ROMs, RAMs, magnetic disks or optical disks.

Claims (23)

Get the visit data of the target visited within a predetermined time range,
determining a ratio parameter based on the first type subject visit data and the second type subject visit data;
adjusting a resource allocation scheme for at least a portion of the subject based on the ratio parameter and the subject's underlying data;
A resource allocation method, comprising: making resource allocation according to a coordinated resource allocation scheme. identifying subjects of said first type among said subjects;
further comprising identifying subjects of said second type among said subjects;
Identifying a subject who is the first visit and/or whose cumulative visit time is less than a first time threshold up to a predetermined time point as the subject of the first type;
2. The method according to claim 1, wherein subjects who are non-first visits and/or whose cumulative visit time to said predetermined time point is equal to or greater than a second time threshold are identified as subjects of said second type. The visit data includes visitor numbers, and the ratio parameter comprises:
a ratio value between the number of visitors of the first type of target and the number of visitors of the second type of target;
a ratio value between the number of visitors of the second type of subjects and the number of visitors of the first type of subjects;
A value of the ratio between the number of visitors of the first type of target and the target number of visitors;
at least one term of a ratio value between the number of visitors of the second type of target and the target number of visitors;
The target number of visitors includes the sum of the number of visitors of the first type of target and the number of visitors of the second type of target, or the target number of visitors is the total number of visitors within the predetermined time range. 3. A method according to claim 1 or 2, comprising: Before obtaining visit data for subjects visited within a predetermined time range,
Acquire images in real time,
performing image identification processing on the image, obtaining an image identification result,
performing database matching on the image identification result, if the image identification result includes facial features and/or body features;
updating historical visit records and underlying data stored in association with the image template when matching an image template in the database;
If the image template in the database is not matched, adding the image identification result as an image template of the corresponding object and storing it in association with the collected basic data of the corresponding object and new history visit record. The method of any one of claims 1-3, further comprising: 5. The method of claim 4, wherein the historical visit record and basic data are associated and stored in the form of tag information. Adjusting at least some of the subject's resource allocation schemes based on the ratio parameter and the subject's underlying data includes:
identifying a target resource allocation scheme that meets predetermined conditions;
adjusting the at least some of the target resource allocation schemes based on the ratio parameter and the target resource allocation scheme;
A method according to any one of claims 1 to 5, characterized in that said at least part of said subject's underlying data satisfies said predetermined condition. adjusting the at least some of the target resource allocation schemes based on the ratio parameter and the target resource allocation scheme;
identifying a resource allocation scheme for subjects of the second type among the target resource allocation schemes if the ratio parameter indicates that the visit data of subjects of the second type satisfies a first predetermined condition;
and/or, if the ratio parameter indicates that the visit data of the first type of subject satisfies a second predetermined condition, select a resource allocation scheme for the first type of subject among the target resource allocation schemes. 7. The method of claim 6, comprising identifying. The resources include online resources and/or offline resources, the online resources include website-based service resources, and the offline resources include physical store-based service resources;
Adjusting the resource allocation scheme
A method according to any preceding claim, comprising adjusting online resource configuration data and/or offline resource configuration data. the content of the online resource configuration data includes at least one of sales price, after-sales service, resource configuration data push method;
the content of the offline resource configuration data includes at least one of a customer service representative or follow-up person, sales price, after-sales service, resource configuration data push method;
9. The resource configuration data push method includes at least one of a resource configuration data push time, an interval between two adjacent resource configuration data pushes, and a resource configuration data push path. described method. Evaluate resource configuration data based on the ratio parameter;
9. The method of claim 8, further comprising adjusting the resource allocation scheme based on evaluation results. an acquisition module for acquiring visit data of objects visited within a predetermined time range;
an identification module for identifying a ratio parameter based on the first type subject visit data and the second type subject visit data;
an allocation module for adjusting a resource allocation scheme of at least a portion of the subject based on the ratio parameter and the underlying data of the subject, and performing resource allocation according to the adjusted resource allocation scheme. . The specific module is
Identifying a subject of the first type among the subjects, and identifying a subject who is the first visit and/or a subject whose cumulative visit time is smaller than a first time threshold up to a predetermined time point as the subject of the first type;
To identify a target of the second type among the targets, and to identify a target who is a non-first visit and/or whose cumulative visit time is equal to or greater than a second time threshold up to the predetermined time as the target of the second type 12. A device according to claim 11, characterized in that it is used. The visit data includes visitor numbers, and the ratio parameter comprises:
a ratio value between the number of visitors of the first type of target and the number of visitors of the second type of target;
a ratio value between the number of visitors of the second type of subjects and the number of visitors of the first type of subjects;
A value of the ratio between the number of visitors of the first type of target and the target number of visitors;
at least one term of a ratio value between the number of visitors of the second type of target and the target number of visitors;
The target number of visitors includes the sum of the number of visitors of the first type of target and the number of visitors of the second type of target, or the target number of visitors is the total number of visitors within the predetermined time range. 13. Apparatus according to claim 11 or 12, comprising: The acquisition module is
Acquire images in real time,
performing image identification processing on the image, obtaining an image identification result,
performing database matching on the image identification result, if the image identification result includes facial features and/or body features;
updating historical visit records and underlying data stored in association with the image template when matching an image template in the database;
If the image template in the database is not matched, adding the image identification result as an image template of the corresponding object and storing it in association with the collected basic data of the corresponding object and the new historical visit record. A device according to any one of claims 11 to 13, characterized in that it is used. 15. The apparatus of claim 14, wherein the acquisition module associates and stores the historical visit record and underlying data in the form of tag information. The allocation module comprises:
identifying a target resource allocation scheme that meets predetermined criteria;
used to adjust a resource allocation scheme for said at least some of said subjects based on said ratio parameter and said target resource allocation scheme, wherein the underlying data of said at least some of said subjects satisfy said predetermined condition; A device according to any one of claims 11 to 15, characterized in that The allocation module comprises:
identifying a resource allocation scheme for subjects of the second type among the target resource allocation schemes if the ratio parameter indicates that the visit data of subjects of the second type satisfies a first predetermined condition;
and/or, if the ratio parameter indicates that the visit data of the first type of subject satisfies a second predetermined condition, select a resource allocation scheme for the first type of subject among the target resource allocation schemes. 17. The device of claim 16, used for identification. The resources include online resources and/or offline resources, the online resources include website-based service resources, and the offline resources include physical store-based service resources;
The allocation module comprises:
Device according to any one of claims 11 to 17, characterized in that it is used for adjusting online resource configuration data and/or offline resource configuration data. the content of the online resource configuration data includes at least one of sales price, after-sales service, resource configuration data push method;
the content of the offline resource configuration data includes at least one of a customer service representative or follow-up person, sales price, after-sales service, resource configuration data push method;
19. The method of claim 18, wherein the resource configuration data push method includes at least one of resource configuration data push time, two adjacent resource configuration data push intervals, and resource configuration data push route. Apparatus as described. The allocation module further evaluates resource configuration data based on the ratio parameter;
19. The apparatus of claim 18, used to adjust the resource allocation scheme based on evaluation results. A resource allocation facility comprising a memory, a processor, and a computer program stored in said memory and executable by said processor,
Resource allocation facility, characterized in that said processor implements the resource allocation method according to any one of claims 1 to 10 when executing said computer program. A storage medium storing a computer program,
A storage medium that causes the processor to execute the resource allocation method according to any one of claims 1 to 10 when the computer program is executed by a processor. A computer program comprising computer-executable code,
A computer program, characterized in that, when said computer-executable code is executed in an installation, it causes a processor in said installation to perform the resource allocation method according to any one of claims 1 to 10.

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