WO2021129531A1

WO2021129531A1 - Resource allocation method, apparatus, device, storage medium and computer program

Info

Publication number: WO2021129531A1
Application number: PCT/CN2020/137518
Authority: WO
Inventors: 周雪琪
Original assignee: 北京市商汤科技开发有限公司
Priority date: 2019-12-27
Filing date: 2020-12-18
Publication date: 2021-07-01
Also published as: CN111160765A; JP2023508172A

Abstract

A resource allocation method, an apparatus, a device, a storage medium and a computer program. The resource allocation method comprises: acquiring visiting data of visiting objects within a preset time range (101); determining ratio parameters according to visiting data of first-type objects and visiting data of second-type objects (102); adjusting, according to the ratio parameters and basic data of said objects, a resource allocation method for at least some objects; and performing resource allocation according to the adjusted resource allocation method (103).

Description

Resource allocation method, device, equipment, storage medium and computer program

Cross-reference statement

This application claims the priority of the Chinese patent application with application number 201911380409.X filed with the Chinese Patent Office on December 27, 2019, the entire content of which is incorporated into this application by reference.

Technical field

This application relates to a resource allocation method, device, equipment, storage medium and computer program.

Background technique

In actual use, places such as stores are often artificially sorting out the data of visiting customers, or objects, to allocate resources in the current place based on the sorted data. However, the existing resource allocation methods are not only time-consuming and labor-intensive, but also difficult to reasonably allocate limited resources. Therefore, there is an urgent need for a resource allocation method to solve the above technical problems.

Summary of the invention

This application provides a technical solution of a resource allocation method.

In the first aspect, an embodiment of the present disclosure provides a resource allocation method, the method includes: obtaining visit data of objects visited within a preset time range; according to the visit data of the first type of object and the second type of object According to the visit data of the object, the proportional parameter is determined; the resource allocation method of at least part of the object is adjusted according to the proportional parameter and the basic data of the object; the resource allocation is performed according to the adjusted resource allocation method.

In the above solution, optionally, it further includes: determining the first type of object among the objects, wherein the object whose cumulative duration of the visit for the first time and/or up to a preset time point is less than the first time threshold is determined Is the first type of object; the second type of object is determined among the objects, where the non-first visit and/or the cumulative duration of visits up to the preset time point is greater than or equal to the second time threshold The object is determined to be the second type of object.

In the above solution, optionally, the visit data includes the number of visitors; the ratio parameter includes at least one of the following: the number of visitors of the first type of object and the number of visitors of the second type of object Ratio; the ratio of the number of visitors of the second type of object to the number of visitors of the first type of object; the ratio of the number of visitors of the first type of object to the target number of visitors; the second type of object The ratio of the number of visitors to the target number of visitors; wherein, the target number of visitors includes the sum of the number of visitors of the first type of object and the number of visitors of the second type of object, or, The target number of visitors includes the total number of visitors within the preset time range.

In the above solution, optionally, before the acquisition of the visit data of the visited object within the preset time range, the method further includes: acquiring an image in real time; performing image recognition processing on the image to obtain an image recognition result; When the image recognition result includes facial features and/or human body characteristics, database matching is performed on the image recognition result; when the image template in the database is matched, the historical visit record stored in association with the image template is updated And basic data; when the image template in the database is not matched, the image recognition result is added as the image template of the corresponding object, and is combined with the collected basic data of the corresponding object and the newly-added historical visit record Associated storage.

In the above solution, optionally, the historical visit records and basic data are stored in association with each other in the form of tag information.

In the above solution, optionally, the adjusting at least part of the resource allocation mode of the object according to the ratio parameter and the basic data of the object includes: determining a target resource allocation mode that matches a preset condition; The ratio parameter and the target resource allocation method are used to adjust the resource allocation method of the at least part of the object; wherein the basic data of the at least part of the object meets the preset condition.

In the above solution, optionally, the adjusting the resource allocation method of at least part of the object according to the ratio parameter and the target resource allocation method includes: indicating the object of the second type in the ratio parameter When the visited data meets the first preset condition, determine the resource allocation method for the second-type object in the target resource allocation method; and/or, when the ratio parameter indicates the first In the case that the visited data of the type object meets a second preset condition, a resource allocation method for the first type object in the target resource allocation method is determined.

In the above solution, optionally, 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 adjustment Resource allocation methods include: adjusting online resource configuration data and/or offline resource configuration data.

In the above solution, optionally, the content of the online resource configuration data includes at least one of selling price, after-sales service, and resource configuration data push methods; the content of the offline resource configuration data includes at least a receptionist or follower One of recruitment, selling price, after-sales service, and resource configuration data push method; the resource configuration data push method includes at least the push time of resource configuration data, the push interval of two adjacent resource configuration data, and the push of resource configuration data One of the ways.

In the above solution, optionally, it further includes: evaluating the resource configuration data based on the ratio parameter; and adjusting the resource allocation method based on the evaluation result.

In a second aspect, an embodiment of the present disclosure provides a resource allocation device, the device includes: an acquisition module for acquiring visit data of objects visited within a preset time range; and a determination module for acquiring visit data according to the first type The visit data of the object and the visit data of the second type of object determine the proportion parameter; the allocation module is used to adjust the resource allocation method of at least part of the object according to the proportion parameter and the basic data of the object, and according to The adjusted resource allocation method is used for resource allocation.

In the above solution, optionally, the determining module is configured to determine the first type of object among the objects, wherein the cumulative duration of the first visit and/or the visit up to a preset time point is less than the first time Threshold objects are determined to be the first type of objects; the second type of objects are determined in the objects, where the non-first visit and/or the cumulative duration of visits up to the preset time point is greater than or equal to the first An object with a second time threshold is determined as the second type of object.

In the above solution, optionally, the acquisition module is configured to: acquire an image in real time; perform image recognition processing on the image to obtain an image recognition result; when the image recognition result includes facial features and/or human body features, Database matching is performed on the image recognition result; when the image template in the database is matched, the historical visit records and basic data stored in association with the image template are updated; when the image template in the database is not matched At this time, the image recognition result is added as the image template of the corresponding object, and is stored in association with the collected basic data of the corresponding object and the newly-added historical visit record.

In the above solution, optionally, the acquisition module associates and stores the historical visit records and basic data in the form of tag information.

In the above solution, optionally, the allocation module is configured to: determine a target resource allocation method that matches a preset condition; adjust the resource allocation method of the at least part of the object according to the proportional parameter and the target resource allocation method ; Wherein, the basic data of the at least part of the object meets the preset condition.

In the above solution, optionally, the allocation module is configured to determine the target resource allocation method when the ratio parameter indicates that the visited data of the second type object meets a first preset condition The resource allocation method for the second-type object in the second-type object; and/or, in the case that the ratio parameter indicates that the visited data of the first-type object meets a second preset condition, determine the target resource In the allocation manner, a resource allocation manner for the first type of object.

In the above solution, optionally, 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 The module is used to: adjust online resource configuration data and/or offline resource configuration data.

In the above solution, optionally, the allocation module is further configured to: evaluate the resource configuration data based on the proportional parameter; and adjust the resource allocation method based on the evaluation result.

In a third aspect, embodiments of the present disclosure provide a resource allocation device, including: a memory, a processor, and a computer program stored on the memory and running on the processor, wherein the processor executes all The computer program implements the resource allocation method described in the embodiment of the present disclosure.

In a fourth aspect, an embodiment of the present disclosure provides a storage medium storing a computer program, and when the computer program is executed by a processor, the processor executes the resource allocation method described in the embodiment of the present disclosure. .

In the fifth aspect, the embodiments of the present disclosure provide a computer program, including computer executable code, which when the computer executable code runs on a device, causes the processor in the device to execute the method described in the embodiment of the present disclosure. Resource allocation method.

The technical solution provided by the embodiments of the present disclosure obtains the visit data of the objects visited within the preset time range; determines the scale parameter according to the visit data of the first type of object and the visit data of the second type of object; The proportion parameter and the basic data of the object are adjusted to at least part of the resource allocation mode of the object; the resource allocation is performed according to the adjusted resource allocation mode. In this way, the time spent in data sorting can be saved, that is, the time-consuming and labor-intensive problem caused by manual data sorting is solved. In addition, according to the ratio parameter determined by the visit data of the first type of object and the visit data of the second type of object within the preset time range, and the basic data, the resource allocation method of at least part of the object can be adjusted, so that the limited resources can be adjusted. Reasonable allocation; and resource allocation in accordance with the adjusted resource allocation method can further improve customer experience and sales conversion rate.

Description of the drawings

FIG. 1 is a schematic diagram of an implementation process of a resource allocation method provided by an embodiment of the disclosure;

2 is a schematic diagram of the implementation process of another resource allocation method provided by an embodiment of the disclosure;

3 is a schematic diagram of a terminal side output object notification interface provided by an embodiment of the disclosure;

4 is a schematic diagram of a data display interface provided by an embodiment of the disclosure;

FIG. 5 is a schematic diagram of the composition structure of a resource allocation device provided by an embodiment of the disclosure;

FIG. 6 is a schematic diagram of the composition structure of another resource allocation device provided by an embodiment of the disclosure.

Detailed ways

The technical solution of the present application will be further elaborated below with reference to the drawings and specific embodiments.

In order to enable those skilled in the art to better understand the embodiments of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly described below in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only These are a part of the embodiments of this application, but not all of the embodiments.

The terms "first", "second", and "third" in the specification embodiments and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or Priority. In addition, the terms "including" and "having" and any variations of them are intended to cover non-exclusive inclusions, for example, including a series of steps or units. The method, system, product, or device need not be limited to those clearly listed steps or units, but may include other steps or units that are not clearly listed or are inherent to these processes, methods, products, or devices.

The embodiments of the present disclosure can be applied to various electronic devices, which include but are not limited to fixed devices and/or mobile devices. For example, the fixed devices include, but are not limited to: personal computers (PC) or servers Etc., the server may be a cloud server or an ordinary server. The mobile device includes but is not limited to one or more of a mobile phone, a tablet computer, or a wearable device.

The embodiment of the present disclosure provides a resource allocation method. As shown in FIG. 1, the method mainly includes the following steps.

Step 101: Obtain visit data of objects visited within a preset time range.

Step 102: Determine a scale parameter based on the visit data of the first type of object and the visit data of the second type of object, and the scale parameter can reflect the visits of different types of objects within a preset time range.

Step 103: Adjust the resource allocation mode of at least some objects according to the proportional parameter and the basic data of the object, and perform resource allocation according to the adjusted resource allocation mode.

In the embodiment of the present disclosure, the preset time range may include a period of time starting from the start time and ending at the end time, such as one day, one week, one month, one quarter, six months, one year, etc., the preset time The scope can be determined based on actual needs. The embodiment of the present disclosure does not limit the setting method and specific value of the preset time range. It should be noted that the end time is the time before the current time (may include the current time).

In the embodiments of the present disclosure, different classification standards can be used according to requirements to distinguish the first type of object and the second type of object among the objects visited within the preset time range.

In some embodiments, the objects of the first type and the objects of the second type are divided according to whether they are the first visitor. Specifically, the first type of objects include objects that visit for the first time, that is, new customers; the second type objects include objects that are not the first time to visit, that is, old customers. For example, if customer A visits the store for the first time, it is determined that customer A belongs to the first type of object; if customer B visits the store for the second time, it is determined that customer B belongs to the second type of object; if customer C visits for the third time The store also determines that customer C belongs to the second type of object.

In other embodiments, the objects of the first type and the objects of the second type are divided according to the accumulated duration of visits. Specifically, the first type of object includes objects whose cumulative visit time is less than the first time threshold up to a preset time point; the second type of objects includes objects whose cumulative visit time is greater than or equal to the second time threshold up to the preset time point Object. Among them, the preset time point can be set as required, for example, within or before the preset time range. Further, the preset time range includes the start time point, the end time point of the preset time range, or any designated time point in between. The first time threshold may be the same as or different from the second time threshold. For example, the first time threshold may be less than, equal to, or greater than the second time threshold. For example, if customer A's accumulated visit time up to the preset time point is less than the first time threshold, then it is determined that customer A belongs to the first type of object; if customer B's accumulated visit time up to the preset time point is greater than or equal to the second time Threshold, it is determined that customer B belongs to the second type of object. Compared with the above classification criteria based on whether it is the first visit, even if customer A is visiting for the first time, since the cumulative duration of visits up to the preset time point is greater than or equal to the second time threshold, it is considered that customer A belongs to The second type of object: Even if customer B is visiting for the second time, because the cumulative duration of the visit is less than the first time threshold, customer B is considered to be a first type of object. In this way, the purchase demand is expressed according to the length of the cumulative duration of the visit. For example, the shorter cumulative duration of the visit indicates lower purchase demand, and the longer the cumulative duration of the visit indicates higher purchase demand. Among them, the cumulative duration of visits may not have a starting point, that is, the total cumulative duration of visits since the subject’s first visit, or it may be calculated from a second preset time point, which can be set in the above-mentioned preset time point as needed. Set before the time point.

In still other embodiments, the objects of the first type and the objects of the second type are divided according to whether they are the first visit and the accumulated duration of the visit. For example, the first type of object includes objects that have visited for the first time and the cumulative duration of the visit as of the preset time is less than the first time threshold; the second type of objects includes the non-first visit and the cumulative duration of the visit as of the preset time is greater than Or an object equal to the second time threshold. For example, if client A is visiting for the first time, it is judged whether client A’s accumulated visit time up to the preset time point is less than the first time threshold. If it is, client A is judged to belong to the first type of object; if client B is not For the first visit, it is judged whether the accumulative duration of client B's visit up to the preset time point is greater than or equal to the second time threshold, and if so, it is judged that client B belongs to the second type of object.

Here, the first time threshold and the second time threshold are both preset time thresholds. The above-mentioned time thresholds can be set in advance according to the time invested, cost, etc., and/or demand, and the setting method is not limited here.

In the embodiment of the present disclosure, the visit data is data that characterizes the information of the object, such as the number of visitors, the change trend of the number of visitors, and so on. The scale parameter is used to reflect the visits of different types of objects within the preset time range. For example, if the visit data of the first type of object visited within the preset time range is the first number of visitors, and the visit data of the second type of object is the second number of visitors, the ratio parameter includes at least one of the following: The ratio of the first number of visitors to the second number of visitors; the ratio of the second number of visitors to the first number of visitors; the ratio of the first number of visitors to the target number of visitors; the second number of visitors to the target number of visitors The ratio of the number of people.

Among them, the target number of visitors includes the sum of the first number of visitors and the second number of visitors, or the target number of visitors includes the total number of visitors within the preset time range.

Among them, the ratio of the first number of visitors to the second number of visitors can reflect the ratio of the number of visitors of the first type of object to the second type of object within the preset time range. For example, if the number of first-time visitors is A1 and the number of non-first-time visitors is B1 within the preset time range, then the ratio of the number of first visitors to the number of second visitors is A1/B1. For another example, if within the preset time range, the number of visitors whose cumulative visit time up to the preset time point is less than the first time threshold is A2, and the number of visitors greater than or equal to the second time threshold is B2, then the first The ratio of the number of first visitors to the number of second visitors is A2/B2. For another example, if within the preset time range, the number of visitors who visited for the first time and the cumulative duration of the visit up to the preset time point is less than the first time threshold is A3, and it is not the first time that visits and has visited until the preset time point The number of visitors whose cumulative duration is greater than or equal to the second time threshold is B3, then the ratio of the first number of visitors to the second number of visitors is A3/B3.

Among them, the ratio of the number of second visitors to the number of first visitors can reflect the ratio of the number of visitors of the second type of object to the first type of object within the preset time range. For example, if the number of first-time visitors is A1 and the number of non-first-time visitors is B1 within the preset time range, then the ratio of the number of second visitors to the number of first visitors is B1/A1. For another example, if within the preset time range, the number of visitors whose cumulative visit time up to the preset time point is less than the first time threshold is A2, and the number of visitors greater than or equal to the second time threshold is B2, then the first 2. The ratio of the number of visitors to the number of first visitors is B2/A2. For another example, if within the preset time range, the number of visitors who visited for the first time and the cumulative duration of the visit up to the preset time point is less than the first time threshold is A3, and it is not the first time that visits and has visited until the preset time point The number of visitors whose cumulative duration is greater than or equal to the second time threshold is B3, then the ratio of the second number of visitors to the first number of visitors is B3/A3.

Among them, the ratio of the number of first visitors to the target number of visitors can reflect the ratio of the number of visitors of the first type of object to the target object within the preset time range. When the target number of visitors includes the total number of visitors within the preset time range, the ratio of the number of first visitors to the target number of visitors can reflect the proportion of the first type of objects in all the objects visited within the preset time range. proportion. For example, if within the preset time range, the number of first visitors is A1, the number of non-first visitors is B1, and the total number of visitors is A1+B1=Q, then the ratio of the number of first visitors to the total number of visitors is A1/Q is A1/A1+B1. For another example, if within the preset time range, the number of visitors whose cumulative visit time up to the preset time point is less than the first time threshold is A2, and the total number of visitors is Q, then the number of first visitors accounts for the number of visitors The total headcount ratio is A2/Q. For another example, if within the preset time range, the number of visitors who visited for the first time and the cumulative duration of the visit as of the preset time point is less than the first time threshold is A3, and the total number of visitors is Q, then the first visit The ratio of the number of people to the total number of visitors is A3/Q. In the case where the target object includes a collection of the first type of object and the second type of object visited within the preset time range, the ratio of the number of first visitors to the target number of visitors can reflect the proportion of the first type of objects in the first type The ratio of the object to the sum of the second type of object. For example, if the number of first visitors is A1 and the number of non-first visitors is B1 within the preset time range, then the ratio of the number of first visitors to the sum of the number of first visitors and the number of second visitors is A1 /A1+B1. For another example, if within the preset time range, the number of visitors whose cumulative visit time up to the preset time point is less than the first time threshold is A2, and the number of visitors greater than or equal to the second time threshold is B2, then the first The ratio of the number of first visitors to the sum of the number of first visitors and the number of second visitors is A2/A2+B2. For another example, if within the preset time range, the number of visitors who visited for the first time and the cumulative duration of the visit up to the preset time point is less than the first time threshold is A3, and it is not the first time that visits and has visited until the preset time point The number of visitors whose cumulative duration is greater than or equal to the second time threshold is B3. Then, the ratio of the number of first visitors to the sum of the number of first visitors and the number of second visitors is A3/A3+B3.

Among them, the ratio of the number of second visitors to the target number of visitors can reflect the ratio of the number of visitors of the second type of object to the target object within the preset time range. In the case that the target number of visitors includes the total number of visitors within the preset time range, the ratio of the second number of visitors to the target number of visitors can reflect the proportion of the second type of objects in all the objects visited within the preset time range. proportion. For example, if within the preset time range, the number of first visitors is A1, the number of non-first visitors is B1, and the total number of visitors is A1+B1=Q, then the ratio of the number of second visitors to the total number of visitors is B1/Q is B1/A1+B1. For another example, if within the preset time range, the number of visitors whose cumulative visit time is less than the first time threshold up to the preset time point is B2, and the total number of visitors is Q, then the second number of visitors accounts for the number of visitors The total headcount ratio is B2/Q. For another example, if within the preset time range, the number of visitors who are not the first time and the cumulative duration of the visit up to the preset time point is greater than or equal to the second time threshold is B3, and the total number of visitors is Q, then the first 2. The ratio of the number of visitors to the total number of visitors is B3/Q. In the case where the target object includes a collection of the first type of object and the second type of object visited within the preset time range, the ratio of the second number of visitors to the target number of visitors can reflect that the second number of visitors accounts for the first number of visitors. The ratio of the number of visitors to the sum of the number of second visitors. For example, if the number of first visitors is A1 and the number of non-first visitors is B1 within the preset time range, then the ratio of the number of second visitors to the sum of the number of first visitors and the number of second visitors is B1 /A1+B1. For another example, if within the preset time range, the number of visitors whose cumulative visit time up to the preset time point is less than the first time threshold is A2, and the number of visitors greater than or equal to the second time threshold is B2, then the first 2. The ratio of the number of visitors to the sum of the number of first visitors and the number of second visitors is B2/A2+B2. For another example, if within the preset time range, the number of visitors who visited for the first time and the cumulative duration of the visit up to the preset time point is less than the first time threshold is A3, and it is not the first time that visits and has visited until the preset time point The number of visitors whose cumulative duration is greater than or equal to the second time threshold is B3, then the ratio of the number of second visitors to the sum of the number of first visitors and the number of second visitors is B3/A3+B3.

In the embodiments of the present disclosure, the basic data is data used to characterize the characteristics of the object. For example, the basic data may include at least one of the following data: age, gender, occupation, education, income level, and so on.

In the embodiments of the present disclosure, at least some objects include: objects whose basic data meets a preset condition. Among them, the preset conditions can be set in advance according to the investment time, cost, etc., and/or demand, and the setting method is not limited here. For example, at least part of the objects may include objects that generate valid data, such as objects whose cumulative visit time exceeds a certain time threshold, old customers, and contracted customers.

Further, the resource allocation mode of at least some objects can be adjusted. For example, the ratio of new and old customers and the age group of 25 to 35 can be used as a preset condition to adjust the resource allocation mode of at least some objects whose basic data meets the preset condition. For another example, the resource allocation method of at least part of the objects whose basic data meets the preset condition can be adjusted by combining the ratio of old and new customers and the male as a preset condition. For another example, the resource allocation method can be adjusted in combination with the proportion of new customers in all targets and the income level of 300,000 or more as a preset condition.

The technical solution provided by the embodiments of the present disclosure obtains the visit data of the objects visited within the preset time range; determines the scale parameter according to the visit data of the first type object and the visit data of the second type object; according to the scale parameter And the basic data of the object, adjust the resource allocation method of at least part of the object; perform resource allocation according to the adjusted resource allocation method. In this way, the time spent in data sorting can be saved, that is, the time-consuming and labor-intensive problem caused by manual data sorting is solved. In addition, according to the scale parameter determined by the visit data of the first type of object and the visit data of the second type of object within the preset time range, as well as the basic data of the object, the resource allocation method of at least part of the object can be adjusted, which can deal with the limited Resources are allocated reasonably; and resource allocation in accordance with the adjusted resource allocation method can further improve customer experience and sales conversion rate.

In order to better grasp the visit data, in some embodiments, before obtaining the visit data of the objects visited within the preset time range, it also includes: obtaining images in real time; performing image recognition processing on the images to obtain the image recognition results ; When the image recognition result includes facial features and/or human body features, database matching is performed on the image recognition results; when it matches the image template in the database, the historical visit records and basic data stored in association with the image template are updated; When the image template in the database is not matched, the image recognition result is added as the image template of the corresponding object and stored in association with the collected basic data of the corresponding object and the newly-added historical visit records.

In the embodiments of the present disclosure, images can be acquired in real time in a variety of ways. For example, an image sent by an image collector can be received, or a communicator can be used to receive images sent by other devices.

In some embodiments, image recognition processing may be performed on the acquired image through the face recognition technology to obtain the facial feature recognition result of the image. And/or, image recognition processing may be performed on the acquired image through human body recognition technology to obtain the human body feature recognition result of the image. This application does not specifically limit the face recognition technology and the human body recognition technology.

In some embodiments, image recognition processing is performed on the acquired image, and when the image recognition result includes facial features and/or human body characteristics, database matching is performed on the image recognition result. When the image template in the database is matched, the historical visit records and basic data stored in association with the image template are updated.

Among them, the basic data and historical visit records can be stored in the form of tag information in whole or in part. Thus, in response to the existence of an image template matching the object in the database, the label information corresponding to the matching image template can be determined. The label information includes information for indicating whether the visit is the first time and the number of visits. Among them, the image template includes but is not limited to a human body template or a face template; the database includes but is not limited to a human body template library or a face template library.

It should be noted that the historical visit records of objects are stored in the database. The historical visit record includes at least identification (ID) information and visit time information stored in association with the image template. For each object, an identifier is assigned; for the same object, only one identifier is assigned. In this way, by determining whether there is object identification information matching the image recognition result, it can be determined whether the currently visiting object is the first visit or the non-first visit.

In the above solution, optionally, the method further includes: when the image template is not matched, adding the image recognition result as the image template of the corresponding object, and associating it with the collected basic data of the corresponding object and the newly added historical visit record storage. Wherein, in response to the absence of an image template matching the object in the database, an image template of the corresponding object can be created in the database, and label information can be assigned to the object. The label information includes information for indicating the first visit. In this way, when there is no matching image template, the image recognition result of the object is added to the database as the corresponding image template, which can supplement the database and facilitate subsequent queries when the object visits again.

In some embodiments, adjusting the resource allocation mode of at least part of the object according to the proportional parameter and the basic data of the object includes: determining a target resource allocation method that matches a preset condition; adjusting at least part of the target resource allocation method according to the proportional parameter and the target resource allocation method. The resource allocation method of the object; wherein, at least part of the basic data of the object meets the preset condition.

In some embodiments, the target resource allocation method can be obtained based on the historical allocation of basic data of the same type, so as to adjust the resource allocation method of at least some objects. In this way, the resource allocation method of at least some objects can be adjusted more pertinently based on historical data, so as to allocate resources to at least some objects according to the adjusted resource allocation method, thereby helping to improve the customer experience and sales of at least some objects. Conversion rate.

In order to better allocate the limited resources reasonably, in some embodiments, adjusting the resource allocation method of at least some objects according to the proportional parameter and the target resource allocation method, including:

When the ratio parameter indicates that the visit data of the second type object meets the first preset condition, determine the resource allocation method for the second type object in the target resource allocation method; and/or, when the ratio parameter indicates the first type object In the case where the visited data meets the second preset condition, the resource allocation method for the first type of object in the target resource allocation method is determined.

In the embodiment of the present disclosure, the first preset condition is used to characterize the change of the visit data of the second type of object. For example, the first preset condition is used to indicate that the number is increasing or showing an upward trend; or it is used to indicate that the number is decreasing or showing a downward trend; or, it is used to indicate that the relative change is relatively stable; or, it is used to indicate that there is no change, that is, there is no change. trend. The second preset condition is used to characterize the change of the visit data of the first type of object. For example, the second preset condition is used to indicate that the number is increasing or showing an upward trend; or it is used to indicate that the number is decreasing or showing a downward trend; or, it is used to indicate that the relative change is relatively stable; or it is used to indicate that there is no change, that is, there is no change trend. .

It should be noted that, in the case where the first type of object and the second type of object refer to different, the first preset condition and the second preset condition will also be different.

Exemplarily, when the first type of object refers to a new customer and the second type of object refers to an old customer, the first preset condition is used to characterize the change in the visit data of the old customer; the second preset condition is used to Characterize the changes in the visit data of new customers.

Exemplarily, the first type of object refers to the object whose accumulated visit time is less than the first time threshold up to the preset time point, and the second type of object refers to the object whose accumulated visit time up to the preset time point is greater than or equal to the second In the case of subjects with a time threshold, the first preset condition is used to characterize the change in the number of subjects whose accumulated visit time is greater than or equal to the second time threshold; the second preset condition is used to characterize the accumulated visit time is less than the first time Threshold changes in the number of objects.

Exemplarily, the first type of object refers to the first visit and the accumulative duration of the visit as of the preset time point is less than the first time threshold, and the second type of object refers to the non-first visit and up to the preset time In the case of point-to-visit subjects whose cumulative duration is greater than or equal to the second time threshold, the first preset condition is used to characterize the change in the number of subjects whose cumulative duration of visits is greater than or equal to the second time threshold that is not the first visit; The second preset condition is used to characterize the change in the number of objects that have visited for the first time and whose cumulative visit time is less than the first time threshold.

In some embodiments, resources include online resources and/or offline resources. Online resources include website-based service resources; offline resources include physical store-based service resources.

The adjustment of the resource allocation method in step 103 includes: adjusting online resource configuration data and/or offline resource configuration data.

In the embodiment of the present disclosure, the content of the online resource configuration data includes at least one of selling price, after-sales service, and resource configuration data push mode. Wherein, the resource configuration data pushing method includes at least one of the pushing time of the resource configuration data, the pushing interval of two adjacent resource configuration data, and the way of pushing the resource configuration data. For example, online resource configuration data may include one or a combination of the following: product presentation position, presentation time, advertisement push content, TV broadcast and other content in the webpage. Of course, it can also include more or less content than the above-mentioned examples, and the specific content of the online resource configuration data is not limited here. Combining different scenarios and requirements, you can select the same or different online resource configuration data.

In the embodiment of the present disclosure, the content of the offline resource configuration data includes at least one of reception staff or follow-up personnel, selling price, after-sales service, and resource configuration data push methods. Wherein, the resource configuration data pushing method includes at least one of the pushing time of the resource configuration data, the pushing interval of two adjacent resource configuration data, and the way of pushing the resource configuration data. For example, offline resource configuration data can include one or a combination of the following: receptionists in physical stores, placement of billboards in physical stores, product placement in physical stores, and display objects in physical stores The frequency and time of the content. Of course, it can also include more or less content than the above-mentioned examples, and the specific content of the offline resource configuration data is not limited here. Combining different scenarios and requirements, you can select the same or different offline resource configuration data.

In this way, by adjusting online resource allocation data and/or offline resource allocation data, it helps to allocate and utilize limited resources more reasonably, thereby improving customer experience and sales conversion rate.

Exemplarily, if the number of new customer visits decreases or shows a downward trend within the preset time range, online resource allocation data and/or offline resource allocation data are adjusted. For example, the content of adjusting online resource allocation data includes: lowering the price of the product, extending the warranty period, adding auxiliary gifts, increasing the strength of cash back, and increasing the frequency of message pushes. For example, adjustments to offline resource allocation data include: increasing the amount of cash back for new customers recommended by old customers, reducing product prices, extending the warranty period, increasing the intensity of gifts, and increasing the frequency of message pushes.

Exemplarily, if the number of regular customer visits drops or shows a downward trend within the preset time range, adjust online resource allocation data and/or offline resource allocation data, for example, adjusting the content of online resource allocation data includes : Reduce the price of products, extend the warranty period, increase auxiliary gifts, increase cash back, and increase the frequency of message push; for example, the content of adjusting offline resource configuration data includes: replacing follow-up personnel and reducing product prices , Extend the warranty period, increase auxiliary gifts, increase cash back, and increase the frequency of message pushes.

In order to facilitate the unified management of resources, the same type of consumer group can allocate the same type of resources, such as allocating the same sales process, and formulating marketing strategies according to the attributes of the consumer group. In some embodiments, step 103 includes: determining a consumer group based on basic data; determining the same resource allocation method for objects belonging to the same consumer group. Among them, determining the same resource allocation method for objects belonging to the same consumer group includes: determining the attributes of the consumer group based on basic data; and formulating a resource allocation data plan according to the attributes of the consumer group. In the embodiments of the present disclosure, the consumer group is a group that can characterize the corresponding attributes of the object. For example, the group is gender, age group, occupation, geographic location, and so on.

In some embodiments, formulating a resource configuration data plan includes: matching, flowing, and reorganizing the resource configuration data within the scope of quantity, time, and space. In this way, a reasonable adjustment plan for resource configuration data can be given according to the attributes of the consumer group of the object, which is conducive to targeted work and services according to the adjustment plan for resource configuration data. This means that, based on the results of the attributes of consumer groups, and lock in the core factors affecting transaction volume, rationally plan the resource allocation method based on the target product to further improve the customer experience and sales conversion rate.

Considering that the change trend can more effectively reflect the rationality or validity of the resource configuration data, in an implementation manner, the evaluation result of the current resource configuration data can be determined based on the change trend. Specifically, in some embodiments, step 103 further includes: evaluating the resource configuration data based on the proportional parameter to obtain the evaluation result of the resource configuration data; and adjusting the resource allocation method based on the evaluation result.

In the embodiment of the present disclosure, the resource configuration data may be resource configuration data related to the sales target product activity. For example, it is used to reflect the data corresponding to each resource in the resource allocation plan adopted for the target product. Wherein, the resource configuration data includes, but is not limited to, one or a combination of multiple configurations, such as quantity configuration, time configuration, space configuration, personnel configuration, and information network configuration.

In the embodiments of the present disclosure, the evaluation result can be used to reflect the impact of the current resource allocation after a period of time. Wherein, the evaluation result includes at least two levels, the types of resource configuration data to be adjusted corresponding to different levels are different, and/or the adjustment methods of resource configuration data corresponding to different levels are different. In this way, by giving the evaluation result of the resource allocation data, it is helpful to subsequently provide an adjustment plan for the resource allocation data based on the evaluation result, thereby helping the staff to perform targeted work and services according to the adjustment plan, thereby increasing passenger flow.

In some embodiments, adjusting the resource allocation method based on the evaluation result includes: when the evaluation result is the first evaluation result, the first evaluation result indicates that the first type of object has a downward trend, and the content of the resource configuration data is adjusted to increase the first evaluation result. The number of visitors to a type of object, and the resource configuration data includes online resource configuration data and/or offline resource configuration data. In this way, it is helpful for staff to carry out targeted work and services according to the adjusted resource allocation data plan, thereby increasing the number of visitors to the first type of objects. Similarly, when the evaluation result is the second evaluation result, the second evaluation result indicates that the second type of object is on a downward trend, and the content of the resource allocation data is adjusted to increase the number of visitors to the second type of object. The resource allocation data includes the line Upstream resource configuration data and/or offline resource configuration data. In this way, it is helpful for the staff to carry out targeted work and services according to the adjusted resource allocation data plan, thereby increasing the number of visitors of the second type of objects.

In the technical solution provided by the embodiments of the present disclosure, since the proportional parameter can effectively reflect whether the resource configuration data of the target product is reasonable, the evaluation result is more targeted, that is, the analysis of the resource configuration data is performed only for the target product. In this way, the evaluation result of the resource configuration data of the target product can be obtained based on the obtained proportional parameter, so that the resource configuration data for the target product can be reasonably adjusted based on the evaluation result, that is, the resource configuration situation. Therefore, based on the results of data sorting and locking the core factors that affect the number of visits, rationally plan the resource allocation data based on the target product to further improve the customer experience and sales conversion rate.

In order to facilitate efficient management of the personnel responsible for customer follow-up in the store, in some embodiments, the method further includes: when the image template is matched and the tag information indicates that the object is not the first visit, determining the receptionist associated with the object The identification information; the label information of the object and the identification information of the receptionist are sent to the electronic device, so that the electronic device displays the label information of the object and the identification information of the receptionist.

In this way, it can quickly make accurate judgments on new and old customers, improve the accuracy of identifying new and old customers, and then assist the store to detect high-value customers. In addition, compared with the store front desk assigning old customers to old customers based on memory, the reception staff who visited the old customers are prone to errors. This application uses the feature analysis of the acquired images to determine the way of assigning the old customers to the reception staff before. It helps to improve the accuracy rate and standardize the sales reception process.

In order to facilitate efficient management of the personnel responsible for customer follow-up in the store, in some embodiments, the method further includes: when the tag information characterizes the object as the first visit, obtaining the identification information of the reception personnel assigned to the object; The association relationship between the identification information of the object and the identification information of the receptionist is stored.

In this way, by establishing the association relationship between the identification information of the object and the identification information of the receptionist, the receptionist who received the object last time can be quickly determined when the object next visits, thereby helping the object to visit each time. At the time, the same receptionist is responsible for following up and serving the object.

As an implementation manner, obtaining the identification information of the receptionist allocated to the object may include: receiving the identification information of the receptionist allocated to the object sent by the receiving terminal. In this way, it is possible to assign receptionists to the first-time visitors based on the assignment information input by the management personnel on the terminal side.

As an implementation manner, acquiring the identification information of the receptionist assigned to the object may include: allocating the identification information of the receptionist to the object based on the number of online terminals and/or the working status reported by the online terminal. In this way, the allocation can be made quickly according to the number of online terminals and/or the working status reported by the online terminals, and the reception staff can be reasonably allocated to the objects.

In some embodiments, the above method may be executed by a server, where the server may be a cloud server and/or a front-end server. For example, the above method is implemented by a front-end server (such as an all-in-one video machine) and a cloud server. Among them, the front-end server performs face and human tracking on the acquired image to obtain the face and human tracking results, and based on the quality of the face and/or human image, determines which image information is based on for recognition, and then sends the determined image to the cloud server Image information. After receiving the image information sent by the front-end server, the cloud server queries the corresponding database based on the received image information, obtains the recognition result, and sends the corresponding various processing results to the terminal, such as the tag information of the object and the identification information of the receptionist , The evaluation result of the resource configuration data, the adjustment plan of the resource configuration data, but the embodiment of the present disclosure does not limit this.

In the embodiment of the present application, on the basis of implementing any of the above-mentioned methods, as shown in FIG. 2, the method may further include the following steps:

Step 201: Receive the tag information of the object and the identification information of the receptionist associated with the object when the tag information indicates that the object is not visiting for the first time;

Step 202: Display the tag information of the object and the identification information of the receptionist.

In this way, the label information of the object and the identification information of the receptionist who receives the object can be provided, so that the terminal user can know the label information of the current object in time, and it is convenient to allocate the receptionist according to the label information, so as to further improve the customer experience and sales conversion rate.

In some embodiments, the method further includes: obtaining and displaying identification information of the receptionist assigned to the object when the tag information characterizes the object as the first visit; sending the identification information of the receptionist assigned to the object to the server .

Exemplarily, in a case where the tag information characterizes the object as the first visit, the terminal obtains the identification information of the receptionist assigned to the object, and displays the identification information of the receptionist. Among them, the way for the terminal to obtain the identification information is, for example, manual input by the terminal user or automatic distribution by the server. In this way, the rapid distribution of reception tasks can be realized, which is beneficial for the staff to perform targeted work and services according to the distribution information, and improve work efficiency.

In some embodiments, the method further includes: displaying tag information of the object and identification information of the receptionist in the object notification interface. In this way, it is convenient for the terminal user to know the information of the object and the receptionist in time through the object notification interface.

In some embodiments, the method further includes: obtaining the input query condition, the query condition includes at least a preset time range; and sending the query condition to the server. In this way, it can provide the terminal with the label information of the object and the identification information of the receptionist that is compatible with the query conditions, which helps to realize the rapid distribution of reception tasks, and is conducive to the targeted work and service of the staff according to the distribution information, and improves customers Experience and sales conversion rate.

FIG. 3 is a schematic diagram of a terminal side output object notification interface provided by an embodiment of the disclosure. As shown in Figure 3, the label information of each object is displayed on the object notification interface, such as the first visit, the Nth visit, and N is a positive integer greater than or equal to 2. The identifier of the receptionist responsible for receiving each object, such as the name or job number of the receptionist, is also displayed on the notification interface of the object. Of course, information such as whether each object has decision-making power can also be displayed on the object notification interface.

Through the object notification interface, the store front desk and sales staff can know who is responsible for the follow-up of each object, and it is convenient for the store front desk to recommend reception staff for different objects based on the information displayed in the object notification interface, which helps standardize the sales reception process .

It should be understood that the object notification interface shown in FIG. 3 is an optional specific implementation, and those skilled in the art can make various obvious changes and/or substitutions based on the example in FIG. 3, and the obtained technical solution still belongs to the present disclosure. Disclosure scope of the embodiment.

FIG. 4 is a schematic diagram of a data display interface provided by an embodiment of the disclosure. As shown in Figure 4, the display interface shows the popularity of the store models, as well as other data such as the number of real-time passenger flow, the proportion of new and old customers, age distribution, and gender distribution. Through this display interface, 4S store sales and stores can detect the interest of the object on each model, combined with store model promotion needs and marketing strategies, and provide data support for the placement of models in the 4S store and feedback on marketing activities. Especially for regional companies, distributors and OEMs, they can remotely know the degree of attention of various store target groups to each model without leaving home, so as to support operational decision-making and evaluation of sales/store work effects.

It should be understood that the display interface shown in FIG. 4 is an optional specific implementation, and those skilled in the art can make various obvious changes and/or substitutions based on the example in FIG. 4, and the obtained technical solution still belongs to the implementation of the present disclosure. The scope of disclosure of the case.

Corresponding to the foregoing resource allocation method, an embodiment of the present disclosure provides a resource allocation device applied to electronic equipment. As shown in FIG. 5, the device includes:

The obtaining module 10 is used to obtain visit data of objects visited within a preset time range;

The determining module 20 is used to determine the scale parameter according to the visit data of the first type object and the visit data of the second type object;

The allocation module 30 is configured to adjust the resource allocation mode of at least some objects according to the proportional parameter and the basic data of the object, and perform resource allocation according to the adjusted resource allocation mode.

In the above solution, optionally, the determining module 20 may be used to determine the first type of object and the second type of object among the objects visited within the preset time range. Exemplarily, the first type of objects include objects that have visited for the first time, and/or objects whose cumulative duration of visits up to a preset time point is less than the first time threshold; the second type of objects include objects that have not visited for the first time, and/ Or up to the preset time point to visit objects whose cumulative duration is greater than or equal to the second time threshold. Wherein, the first time threshold may be less than, equal to, or greater than the second time threshold.

As an implementation manner, the acquisition module 10 is configured to: acquire images in real time; perform image recognition processing on the images to obtain image recognition results; when the image recognition results include facial features and/or human body features, the image recognition results Perform database matching; when matching the image template in the database, update the historical visit records and basic data stored in association with the image template; when it does not match the image template in the database, add the image recognition result as the image template of the corresponding object , And store it in association with the collected basic data of the corresponding object and the newly-added historical visit records. Further, the acquisition module 10 may store historical visit records and basic data in the form of tag information in association with each other.

As an implementation manner, the allocation module 30 is configured to: determine a target resource allocation method that matches a preset condition; adjust the resource allocation method of at least part of the object according to the proportional parameter and the target resource allocation method; The basic data meets the preset condition.

As an implementation manner, the allocation module 30 is configured to determine the resource allocation for the second-type object in the target resource allocation method when the ratio parameter indicates that the visit data of the second-type object meets the first preset condition Method; and/or, in the case where the ratio parameter indicates that the visit data of the first type object meets the second preset condition, determine the resource allocation method for the first type object in the target resource allocation method.

Optionally, the visit data includes the number of visitors, and the proportional parameter includes at least one of the following: the ratio of the number of visitors of the first type of object to the number of visitors of the second type of object; the number of visitors of the second type of object and the number of visitors The ratio of the number of visitors of the first type of object; the ratio of the number of visitors of the first type of object to the target number of visitors; the ratio of the number of visitors of the second type of object to the target number of visitors. Among them, the target number of visitors includes the sum of the number of visitors of the first type of object and the number of visitors of the second type of object, or the target number of visitors includes the total number of visitors within the preset time range.

As an implementation manner, resources include online resources and/or offline resources, online resources include website-based service resources, and offline resources include physical store-based service resources. The allocation module 30 is used to adjust online resource configuration data and/or offline resource configuration data.

In the above scheme, optionally, the content of online resource configuration data includes at least one of selling price, after-sales service, and resource configuration data push methods; the content of offline resource configuration data includes at least reception staff or follow-up personnel, sales One of price, after-sales service, and resource configuration data push methods; resource configuration data push methods include at least one of the push time of resource configuration data, the push interval of two adjacent resource configuration data, and the way to push resource configuration data .

In some embodiments, the device further includes: a communication module 40 (not shown in FIG. 5), which is used to send the tag information of the object and the identification information of the receptionist to the terminal, so that the terminal displays the tag information and the identification information of the object. Identification information of the reception staff.

Those skilled in the art should understand that, in some optional embodiments, each processing module in the resource allocation device shown in FIG. 5 may be set in a server, and its implementation functions can be understood with reference to the relevant description of the foregoing resource allocation method. And it can be realized by a program running on a processor, or it can be realized by a specific logic circuit.

In practical applications, the specific structures of the above-mentioned acquisition module 10, determination module 20, distribution module 30, and communication module 40 can all correspond to a processor. The specific structure of the processor can be a central processing unit (CPU, Central Processing Unit), a microprocessor (MCU, Micro Controller Unit), a digital signal processor (DSP, Digital Signal Processing), or a programmable logic device (PLC, Programmable Logic). Controller) and other electronic components or collections of electronic components with processing functions. Among them, the processor includes executable code, the executable code is stored in a storage medium, and the processor can be connected to the storage medium through a communication interface such as a bus. When performing the corresponding functions of the specific units, it reads and runs from the storage medium. Executable code. The part of the storage medium for storing executable code is preferably a non-transitory storage medium.

The resource allocation device provided by the embodiment of the present disclosure can save time spent in data sorting, that is, it solves the problem of time-consuming and labor-intensive data sorting caused by manual data sorting. In addition, according to the scale parameter determined by the visit data of the first type of object and the visit data of the second type of object within the preset time range, as well as the basic data of the object, the resource allocation method of at least part of the object can be adjusted, which can deal with the limited Resources are allocated reasonably.

The embodiment of the present disclosure also records a resource allocation device. The device includes a memory, a processor, and a computer program stored on the memory and running on the processor. The processor implements any of the foregoing technical solutions when the computer program is executed. Provide resource allocation method.

As an implementation manner, when the processor executes the computer program, it realizes: obtain the visit data of the objects visited within the preset time range; determine the ratio according to the visit data of the first type of object and the visit data of the second type of object Parameters; adjust the resource allocation method of at least part of the object according to the proportional parameter and the basic data of the object; perform resource allocation according to the adjusted resource allocation method.

As an implementation manner, when the processor executes the computer program, it is realized that the first type of object is determined among the objects visited within the preset time range, where the accumulative duration of the first visit and/or up to the preset time point is less than The object with the first time threshold is determined to be the first type of object; the second type of object is determined from the objects visited within the preset time range, where the non-first visit and/or the cumulative duration of the visit up to the preset time point is greater than An object equal to or equal to the second time threshold is determined to be the second type of object. Wherein, the first time threshold may be less than, equal to, or greater than the second time threshold.

As an implementation manner, when the processor executes the computer program, it realizes: acquiring images in real time; performing image recognition processing on the images to obtain image recognition results; when the image recognition results include facial features and/or human body features, performing image recognition results Database matching; when it matches the image template in the database, update the historical visit records and basic data stored in association with the image template; when it does not match the image template in the database, add the image recognition result as the image template of the corresponding object, And it is stored in association with the collected basic data of the corresponding object and the newly-added historical visit records.

As an implementation manner, when the processor executes the computer program, it is realized that the historical visit records and basic data are associated and stored in the form of tag information.

As an implementation manner, when the processor executes the computer program, it realizes: determining the target resource allocation method that matches the preset condition; adjusting the resource allocation method of at least part of the objects according to the proportional parameter and the target resource allocation method; The basic data meets the preset condition.

As an implementation manner, when the processor executes the computer program, it is realized: when the ratio parameter indicates that the visit data of the second type object meets the first preset condition, determine the resource allocation for the second type object in the target resource allocation method Method; and/or, in the case where the ratio parameter indicates that the visit data of the first type object meets the second preset condition, determine the resource allocation method for the first type object in the target resource allocation method.

In the above solution, optionally, the visit data includes the number of visitors, and the ratio parameter includes at least one of the following: the ratio of the number of visitors of the first type of object to the number of visitors of the second type of object; the number of visitors of the second type of object The ratio of the number of visitors to the number of visitors of the first type of object; the ratio of the number of visitors of the first type of object to the target number of visitors; the ratio of the number of visitors of the second type of object to the target number of visitors; among them, the target is The number of visitors includes the sum of the number of visitors of the first type of object and the number of visitors of the second type of object, or the target number of visitors includes the total number of visitors within the preset time range.

As an implementation manner, when the processor executes the computer program, it implements: adjusting online resource configuration data and/or offline resource configuration data; online resources include website-based service resources; offline resources include physical store-based service resources.

As an implementation manner, when the processor executes the computer program, it is realized that the content of online resource configuration data includes at least one of selling price, after-sales service, and resource configuration data push mode; the content of offline resource configuration data includes at least reception staff Or one of follow-up personnel, selling price, after-sales service, and resource configuration data push methods; the resource configuration data push method includes at least the push time of resource configuration data, the push interval of two adjacent resource configuration data, and the push of resource configuration data One of the ways.

The resource allocation device provided by the embodiments of the present disclosure can save time spent in data sorting, that is, it solves the problem of time-consuming and labor-intensive data sorting caused by manual data sorting. In addition, according to the scale parameter determined by the visit data of the first type of object and the visit data of the second type of object within the preset time range, as well as the basic data of the object, the resource allocation method of at least part of the object can be adjusted, which can deal with the limited Resources are allocated reasonably.

On the basis of the device shown in FIG. 5, as shown in FIG. 6, the device may further include: a receiving module 50 for receiving tag information of an object, and when the tag information indicates that the object is not visiting for the first time, and The identification information of the receptionist associated with the object; the display processing module 60 is used to display the tag information of the object and the identification information of the receptionist.

In the above solution, optionally, the device further includes: an acquiring module 70 (not shown in FIG. 6), configured to acquire and display the receptionist assigned to the object when the tag information indicates that the object is the first visitor The identification information; the sending processing module 80 (not shown in FIG. 6) is used to send the identification information of the receptionist assigned to the object to the server.

As an implementation manner, the display processing module 60 is configured to display the tag information of each object and the identification information of the receptionist in the object notification interface.

Those skilled in the art should understand that, in some alternative embodiments, each processing module in the resource allocation device shown in FIG. 6 may be set in a terminal such as a personal computer, a mobile phone, a tablet computer, or a wearable device, etc. The realization function can be understood with reference to the relevant description of the aforementioned resource allocation method. Those skilled in the art should understand that the function of each processing unit in the resource allocation device shown in FIG. 6 can be realized by a program running on a processor, or can be realized by a specific logic circuit.

In practical applications, the foregoing specific structures of the receiving module 50, the display processing module 60, the acquiring module 70, and the sending processing module 80 can all correspond to processors. The specific structure of the processor may be an electronic component or a collection of electronic components with processing functions such as a CPU, MCU, DSP, or PLC. Among them, the processor includes executable code, the executable code is stored in a storage medium, and the processor can be connected to the storage medium through a communication interface such as a bus. When performing the corresponding functions of the specific units, it reads and runs from the storage medium. Executable code. The part of the storage medium for storing executable code is preferably a non-transitory storage medium.

The resource allocation device in the embodiment of the present disclosure facilitates the terminal user to know the tag information of the currently visiting object in time, and facilitates the allocation of reception staff according to the tag information, so as to further improve customer experience and sales conversion rate.

As an implementation manner, when the processor executes the computer program, it realizes: receiving the tag information of the object, and identifying information of the receptionist associated with the object when the tag information indicates that the object is a non-first visit; displaying the object's Label information and identification information of the reception staff.

As an implementation manner, when the processor executes the computer program, it realizes: when the tag information characterizes the object as the first visit, obtain and display the identification information of the receptionist assigned to the object; send the reception assigned to the object to the server Identification information of the person.

As an implementation manner, when the processor executes the computer program, it is realized that the tag information of each object and the identification information of the receptionist are displayed in the object notification interface.

The resource allocation device provided by the embodiments of the present disclosure facilitates terminal users to know the tag information of the currently visiting object in time, and facilitates the allocation of receptionists according to the tag information, so as to further improve customer experience and sales conversion rate.

The embodiments of the present disclosure also record a computer storage medium in which computer-executable instructions are stored, and the computer-executable instructions are used to execute the resource allocation method described in each of the foregoing embodiments. In other words, after the computer-executable instructions are executed by the processor, the resource allocation method provided by any of the foregoing technical solutions can be implemented.

Those skilled in the art should understand that the functions of the programs in the computer storage medium of this embodiment can be understood with reference to the relevant descriptions of the resource allocation methods applied to electronic devices in the foregoing embodiments.

The embodiments of the present disclosure also record a computer program, including computer executable code. When the computer executable code runs on the device, the processor in the device can implement the resource allocation method provided by any one of the foregoing technical solutions.

It should also be understood that the various optional embodiments listed in this article are merely exemplary, and are 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 construed as limiting the embodiments of the present disclosure. A person of ordinary skill in the art can make various changes and substitutions on the basis of the various optional embodiments described herein, and it should also be understood as a part of the embodiments of the present disclosure.

In addition, the description of the technical solutions in this article focuses on emphasizing the differences between the various embodiments, and their similarities or similarities can be referred to each other. For the sake of brevity, the details will not be repeated.

In the several embodiments provided in this application, it should be understood that the disclosed device and method may be implemented in other ways. The device embodiments described above are only illustrative. For example, the division of the units is only a logical function division, and there may be other divisions in actual implementation, such as: multiple units or components can be combined, or It can be integrated into another system, or some features can be ignored or not implemented. In addition, the coupling, or direct coupling, or communication connection between the components shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms. of.

The units described above as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

In addition, the functional units in the embodiments of the present application can be all integrated into one processing unit, or each unit can be individually used as a unit, or two or more units can be integrated into one unit; The unit can be implemented in the form of hardware, or in the form of hardware plus software functional units.

Those of ordinary skill in the art can understand that all or part of the steps in the above method embodiments can be implemented by a program instructing relevant hardware. The foregoing program can be stored in a computer readable storage medium. When the program is executed, the execution includes The steps of the foregoing method embodiment; and the foregoing storage medium includes: removable storage devices, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks, etc. The medium storing the program code.

Alternatively, if the aforementioned integrated unit of the present application is implemented in the form of a software function module and sold or used as an independent product, it may also be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present disclosure can be embodied in the form of a software product in essence or a part that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for A computer device (which may be a personal computer, a server, or a network device, etc.) is allowed to execute all or part of the methods described in the various embodiments of the present application. The aforementioned storage media include: removable storage devices, ROM, RAM, magnetic disks, or optical disks and other media that can store program codes.

Claims

A resource allocation method, including:

Obtain visit data of objects visited within the preset time range;

Determine the scale parameter based on the visit data of the first type of object and the visit data of the second type of object;

Adjusting at least part of the resource allocation mode of the object according to the scale parameter and the basic data of the object;

The resource is allocated according to the adjusted resource allocation method.
The method according to claim 1, further comprising:

Determining the first type of object among the objects, and determining the first type of object as the first type of object, where the first visit and/or the object whose cumulative duration of visit is less than a first time threshold up to a preset time point is determined;

The second type of object is determined among the objects, and the object whose accumulative duration of non-first visits and/or visits up to the preset time point is greater than or equal to a second time threshold is determined as the second type Object.
The method according to claim 1 or 2, wherein the visit data includes the number of visitors, and the ratio parameter includes at least one of the following:

The ratio of the number of visitors of the first type of object to the number of visitors of the second type of object;

The ratio of the number of visitors of the second type of object to the number of visitors of the first type of object;

The ratio of the number of visitors of the first type object to the target number of visitors;

The ratio of the number of visitors of the second type object to the target number of visitors;

Wherein, the target number of visitors includes the sum of the number of visitors of the first type of object and the number of visitors of the second type of object, or the target number of visitors includes within the preset time range The total number of visitors.
The method according to any one of claims 1 to 3, characterized in that, before said obtaining the visit data of the objects visited within the preset time range, the method further comprises:

Acquire images in real time;

Performing image recognition processing on the image to obtain an image recognition result;

When the image recognition result includes facial features and/or human body features, database matching is performed on the image recognition result;

When it matches the image template in the database, update the historical visit records and basic data stored in association with the image template;

When the image template in the database is not matched, the image recognition result is added as the image template of the corresponding object and stored in association with the collected basic data of the corresponding object and the newly-added historical visit records.
The method according to claim 4, characterized in that the historical visit records and basic data are associated and stored in the form of tag information.
The method according to any one of claims 1 to 5, wherein the adjusting at least part of the resource allocation mode of the object according to the scale parameter and the basic data of the object comprises:

Determine the target resource allocation method that matches the preset conditions;

According to the ratio parameter and the target resource allocation method, the resource allocation method of the at least part of the object is adjusted; wherein the basic data of the at least part of the object meets the preset condition.
The method according to claim 6, wherein the adjusting the resource allocation method of the at least part of the object according to the ratio parameter and the target resource allocation method comprises:

In the case where the ratio parameter indicates that the visited data of the second type object meets a first preset condition, determine a resource allocation method for the second type object in the target resource allocation method;

And/or, when the ratio parameter indicates that the visited data of the first type object meets a second preset condition, determine the resource allocation for the first type object in the target resource allocation manner the way.
The method according to any one of claims 1 to 7, characterized in that:

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 method of adjusting resource allocation includes:

Adjust online resource configuration data and/or offline resource configuration data.
The method of claim 8, wherein:

The content of the online resource configuration data includes at least one of selling price, after-sales service, and resource configuration data push mode;

The content of the offline resource configuration data includes at least one of reception staff or follow-up personnel, price, after-sales service, and resource configuration data push methods;

The resource configuration data pushing method includes at least one of the pushing time of the resource configuration data, the pushing interval of two adjacent resource configuration data, and the way of pushing the resource configuration data.
The method according to claim 8, further comprising:

Evaluate the resource configuration data based on the proportional parameter;

Adjust the resource allocation method based on the evaluation result.
A resource allocation device includes:

The acquisition module is used to acquire the visit data of the objects visited within the preset time range;

The determining module is used to determine the scale parameter based on the visit data of the first type of object and the visit data of the second type of object;

The allocation module is configured to adjust at least part of the resource allocation mode of the object according to the proportional parameter and the basic data of the object, and perform resource allocation according to the adjusted resource allocation mode.
The device according to claim 11, wherein the determining module is configured to:

Determining the first type of object among the objects, and determining the first type of object as the first type of object, where the first visit and/or the object whose cumulative duration of visit is less than a first time threshold up to a preset time point is determined;

The second type of object is determined among the objects, and the object whose accumulative duration of non-first visits and/or visits up to the preset time point is greater than or equal to a second time threshold is determined as the second type Object.
The device according to claim 11 or 12, wherein the visit data includes the number of visitors, and the ratio parameter includes at least one of the following:

The ratio of the number of visitors of the first type of object to the number of visitors of the second type of object;

The ratio of the number of visitors of the second type of object to the number of visitors of the first type of object;

The ratio of the number of visitors of the first type object to the target number of visitors;

The ratio of the number of visitors of the second type object to the target number of visitors;

Wherein, the target number of visitors includes the sum of the number of visitors of the first type of object and the number of visitors of the second type of object, or the target number of visitors includes within the preset time range The total number of visitors.
The device according to any one of claims 11 to 13, wherein the acquisition module is configured to:

Acquire images in real time;

Performing image recognition processing on the image to obtain an image recognition result;

When the image recognition result includes facial features and/or human body features, database matching is performed on the image recognition result;

When the image template in the database is matched, update the historical visit records and basic data stored in association with the image template;

When the image template in the database is not matched, the image recognition result is added as the image template of the corresponding object and stored in association with the collected basic data of the corresponding object and newly added historical visit records.
The device according to claim 14, wherein the acquisition module associates and stores the historical visit records and basic data in the form of tag information.
The device according to any one of claims 11 to 15, wherein the distribution module is configured to:

Determine the target resource allocation method that matches the preset conditions;

According to the ratio parameter and the target resource allocation method, the resource allocation method of the at least part of the object is adjusted; wherein the basic data of the at least part of the object meets the preset condition.
The device according to claim 16, wherein the distribution module is configured to:

In a case where the ratio parameter indicates that the visited data of the second type object meets a first preset condition, determine a resource allocation method for the second type object in the target resource allocation method;

And/or, when the ratio parameter indicates that the visited data of the first type object meets a second preset condition, determine the resource allocation for the first type object in the target resource allocation manner the way.
The device according to any one of claims 11 to 17, characterized in that:

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 distribution module is used for:

Adjust online resource configuration data and/or offline resource configuration data.
The device of claim 18, wherein:

The content of the online resource configuration data includes at least one of selling price, after-sales service, and resource configuration data push mode;

The content of the offline resource configuration data includes at least one of reception staff or follow-up personnel, selling price, after-sales service, and resource configuration data push methods;

The resource configuration data pushing method includes at least one of the pushing time of the resource configuration data, the pushing interval of two adjacent resource configuration data, and the way of pushing the resource configuration data.
The device according to claim 18, wherein the distribution module is further configured to:

Evaluate the resource configuration data based on the proportional parameter;

Adjust the resource allocation method based on the evaluation result.
A resource allocation device, comprising: a memory, a processor, and a computer program stored on the memory and running on the processor, wherein the processor implements claims 1 to 10 when the computer program is executed Any one of the resource allocation methods.
A storage medium storing a computer program, and when the computer program is executed by a processor, the processor executes the resource allocation method according to any one of claims 1 to 10.
A computer program comprising computer executable code, which when the computer executable code runs on a device, causes a processor in the device to execute the resource allocation method according to any one of claims 1-10.