CN114078039A

CN114078039A - Method and apparatus for determining goods display position and storage medium

Info

Publication number: CN114078039A
Application number: CN202010845857.9A
Authority: CN
Inventors: 张也骋; 吴倩倩
Original assignee: Hangzhou Hikvision System Technology Co Ltd
Current assignee: Hangzhou Hikvision System Technology Co Ltd
Priority date: 2020-08-20
Filing date: 2020-08-20
Publication date: 2022-02-22

Abstract

Disclosed are a method, an apparatus, and a storage medium for determining a display position of an article, which are useful for better determining the display position of the article. The method comprises the following steps: determining at least one shopping path of the target goods within a preset time period, wherein the shopping path is used for representing a path through which a taker of the target goods travels from an entrance of a display area to a display position of the target goods to take the target goods; determining at least one path offset degree of a target item, wherein the path offset degree is an offset degree between a shopping path of the target item and a preset path of the target item, and the preset path of the target item comprises a predefined path which travels from an entrance of a display area to a display position of the target item; based on the at least one path offset, the display position of the target item is determined to be reasonable.

Description

Method and apparatus for determining goods display position and storage medium

Technical Field

The present application relates to the field of behavioral analysis, and more particularly, to a method, an apparatus, and a storage medium for determining a merchandise display position.

Background

At present, retail businesses such as conventional supermarkets and convenience stores mainly determine whether the display position of an article is reasonable or not by using sales data of the article. In this decision-making method, the data source is single and the judgment basis is insufficient. How to better determine the display position of the goods becomes a problem to be solved.

Disclosure of Invention

The present application provides a method, an apparatus, and a storage medium for determining a display position of an article, which are useful for better determining the display position of the article.

In a first aspect, there is provided a method of determining a merchandise display position, the method comprising: determining at least one shopping path of the target goods within a preset time period, wherein the shopping path is used for representing a path through which a taker of the target goods travels from an entrance of a display area to a display position of the target goods to take the target goods; determining at least one path offset degree of a target item, wherein the path offset degree is an offset degree between a shopping path of the target item and a preset path of the target item, and the preset path of the target item comprises a predefined path which travels from an entrance of a display area to a display position of the target item; based on the at least one path offset, the display position of the target item is determined to be reasonable.

Thus, the reasonability of the display position of the target item can be better determined according to the path deviation degree between the real shopping path and the preset path of the target item. In general, smaller path offsets indicate more reasonable display positions, and larger path offsets indicate more unreasonable column positions.

In a possible implementation manner, the "determining at least one shopping path of the target item within the preset time period" includes: acquiring the taking data of a target goods within a preset time period; the data fetching comprises: the pickup time and the pickup position at which the target goods are picked up; acquiring a user track of each user entering a display area within a preset time period; determining at least one target user trajectory, the target user trajectory being: the user track of each user is acquired, wherein the user track comprises the picking time and the picking position of the target goods; and determining a track from the time of entering the entrance of the display area to the picking time of the target goods in the target user tracks as a shopping path of the target goods according to each determined target user track.

Optionally, the acquired user trajectory may be a user trajectory subjected to data cleaning and other operations, the trajectory data of the user whose position does not change within a specific time period is cleaned, only the earliest and latest data at the time point are retained, and other data corresponding to the position are deleted; or may be each user trajectory within a preset time period.

In another possible implementation, the display area comprises a plurality of area zones; each zone range includes a plurality of locations; the "determining a trajectory from a time of entering an entrance of the display area to a time of taking the target item among the trajectories of the target users as the shopping route of the target item" includes: determining a track from the time of entering an entrance of the display area to the time of taking the target goods in the target user track as a target shopping track of the target goods; the target shopping track is composed of a plurality of track data, and the track data comprises a position and the time of a taker at the position; integrating a plurality of track data located in the same area range in a target shopping track into integrated track data, wherein one integrated track data comprises an identification of the area range where the integrated track data is located, time for entering the area range and time for leaving the area range; and determining the integrated target shopping track as a shopping path of the target goods.

In another possible implementation manner, the method further includes: acquiring a target parameter, wherein the target parameter comprises at least one of a first numerical value and a second numerical value, the first numerical value is used for representing the taking heat of a target product, and the second numerical value is used for representing the selling heat of the target product; and determining a display scheme of the target goods according to the at least one path offset degree and the target parameters.

Thus, the display scheme of the target goods can be better determined according to at least one of the route deviation degree, the picking degree or the selling degree of the target goods. For example: adjusting the display position according to the determined display scheme, or adding advertising according to the determined display scheme, etc.

In another possible implementation, the sales heat is used to characterize the sales volume of the target item in the display area over a preset time period as a proportion of the sales volume of all items in the display area over the preset time period.

In another possible implementation, the picking heat is used for representing the proportion of the picking data of the target goods in the display area within the preset time period in the picking data of all the goods in the display area within the preset time period.

In another possible implementation manner, the "determining a display plan of the target item according to at least one of the path deviation degree and the target parameter" includes: determining the type of the target goods according to the target parameters, wherein the type comprises the following steps: at least one of essential goods, hot goods, problem goods, and potential goods; determining the integral path deviation degree of the target goods according to at least one path deviation degree; and determining the display scheme of the target goods according to the overall path deviation degree of the target goods and the type of the target goods.

In a second aspect, the present application provides an apparatus for determining a merchandise display position. The determining means may be adapted to perform the method of the first aspect or any of the possible designs of the first aspect.

According to the second aspect, in a first possible implementation manner of the second aspect, the determining apparatus may be divided into functional modules according to any one of the methods provided in the first aspect to the first aspect. For example, each functional unit may be divided for each function, or two or more functions may be integrated into one processing unit.

In a second possible implementation manner of the second aspect, the determining means may include a processor configured to perform any one of the methods provided by the first aspect to the first aspect.

In a third aspect, the present application provides a computer device comprising a memory and a processor. The memory is coupled to the processor. The memory is for storing computer program code comprising computer instructions. When executed by a processor, the computer device performs the method according to any one of the possible implementations of the first aspect to the first aspect.

In a fourth aspect, the present application provides a chip system for use in a computer device, the chip system comprising one or more interface circuits and one or more processors. The interface circuit and the processor are interconnected through a line; the interface circuit is to receive signals from a memory of the computer device and to send the signals to the processor, the signals including computer instructions stored in the memory. When the processor executes the computer instructions, the computer device performs the method according to any one of the possible implementations of the first aspect to the first aspect.

In a fifth aspect, the present application provides a computer-readable storage medium comprising computer instructions that, when executed on a computer device, cause the computer device to perform the method according to any one of the possible implementations of the first aspect to the first aspect.

In a sixth aspect, the present application provides a computer program product comprising computer instructions that, when run on a computer device, cause the computer device to perform the method according to any one of the possible implementations of the first aspect to the first aspect.

It is understood that any one of the above-mentioned apparatuses for determining an exhibition position, computer readable storage medium, computer program product or chip, etc. can be applied to the corresponding method, and therefore, the beneficial effects achieved by the apparatus can refer to the beneficial effects of the corresponding method, which are not described herein again.

Drawings

Fig. 1 is a schematic diagram of a system architecture to which the technical solution provided by the embodiment of the present application is applied;

fig. 2 is a schematic structural diagram of a computer device to which the technical solution provided by the embodiment of the present application is applied;

fig. 3 is a schematic flowchart of a basic data acquisition stage in a method for determining a merchandise display position according to an embodiment of the present application;

FIG. 4 is a schematic view of the gravity sensing apparatus 101 and a shelf;

fig. 5A is a schematic flow chart illustrating a data analysis processing stage in a method for determining a merchandise display position according to an embodiment of the present application;

FIG. 5B is a schematic diagram of a predetermined path of a target item and a shopping path of the target item according to an embodiment of the present disclosure;

FIG. 5C is a schematic flow chart illustrating a data analysis processing stage of another method for determining a merchandise display position according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an apparatus for determining a merchandise display position according to an embodiment of the present application.

Detailed Description

For ease of understanding, before describing the method of determining the merchandise display position according to the embodiment of the present application, some of the terms and techniques referred to therein will be briefly described:

1) display area

The display area is an area that defines a boundary. For example, the display area may be an interior area of a shopping mall such as a supermarket, convenience store, or unmanned shopping store, or unmanned counter shop. The display refers to placing any goods according to a certain rule or placing the goods on the display platform according to a certain rule. Wherein, the display platform can be a goods shelf, a vending machine or an unmanned vending machine, etc.

2) Position of

The location is used to characterize a location in the display area. The coordinates in the display area may be used in embodiments of the present application to characterize the location in the display area. The coordinates may be based on a world coordinate system or may be based on a camera coordinate system in a picture taken of the display area.

3) User trajectory

The position of the user in the display area varies continuously with time. The track in the embodiment of the application comprises a time point, a position of a user at the time point and a track identifier. Wherein, the track identification can be the user identity information of the user.

4) Others

In the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

In the embodiments of the present application, "at least one" means one or more. "plurality" means two or more.

In the embodiment of the present application, "and/or" is only one kind of association relationship describing an association object, and indicates that three relationships may exist, for example, a and/or B may indicate: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.

The merchandise display position determining method provided by the embodiment of the application can be applied to the system architecture as shown in fig. 1. The system architecture includes a gravity sensing device 101, a trajectory tracking device 102, a trajectory stitching device 103, a shopping path computing device 104, and a data analysis device 106.

Optionally, the system architecture further includes an entrance control apparatus 100 and an order recording apparatus 105.

The number of devices in each of the gravity sensing device 101, the trajectory tracking device 102, the trajectory stitching device 103, the shopping path calculating device 104, the entrance control device 100, and the order recording device 105 is not limited in the present application. The various devices involved in the present application are illustrated in fig. 1 as one device. The track tracking device 102 is connected to the track splicing device 103, the gravity sensing device 101 and the entrance and exit control device 100 are all connected to the shopping path computing device 104, and the shopping path computing device 104 and the order recording device 105 are all connected to the data analysis device 106.

The access control device 100 may be any user identity registration device in the opening of the display area. In one example, a user performs authentication and registration of identity information upon entering the entrance to the display area through a code-scanning interaction with the access control device 100.

The trajectory tracking device 102 may take images and identify the head and shoulder features of the user through video recognition techniques and record the position of the user within the display area at each point in time. The trajectory tracking device 102 may be a camera device such as a trajectory tracking camera.

The trajectory stitching device 103 is configured to receive the position of each user within the display area at each time point transmitted by the trajectory tracking device 102 within the display area, so as to stitch and generate a user trajectory for each user within the display area.

The trajectory stitching device 103 is further configured to associate a trajectory identification for each position in the user trajectory. In a possible implementation manner, after the track splicing device 103 splices and generates a user track, mark identification information as a track identification for each position in the user track. In another possible implementation manner, when the entrance control apparatus 100 is included in the network architecture, the track splicing apparatus 103 may associate a user track generated by splicing with the user identity registered by the entrance control apparatus 100, and mark the user identity information as a track identifier for each position in the user track.

The gravity sensing device 101 may include a gravity sensor and a processor. The gravity sensing device 101 is connected to the display position of the goods to collect the gravity signal, and acquires the pickup data of the goods at the display position according to the gravity signal.

And the shopping path computing device 104 is configured to analyze the user trajectory reported by the trajectory splicing device 103 and the fetching data of the goods reported by the gravity sensing device 101 to obtain a shopping path of the goods.

Order recording device 105, may be a computing device that includes sales data. For example: the order recording device 105 may be a device for settling the items before the user leaves the store. The order recording device 105 includes therein sales data of the items in the display area.

The data analysis device 106 may be a computer device with analysis computing capability, a server cluster composed of multiple servers, or a cloud computing service center.

It is understood that the shopping path calculating device 104, the track splicing device 103, the order recording device 105, and the data analyzing device 106 may be disposed independently of each other, or at least two of them may be integrated into one device, which is not limited in this application. The following embodiments of the present application are all described by taking four different devices having respective functions as an example, where the shopping route calculation device 104, the trajectory stitching device 103, the order recording device 105, and the data analysis device 106 are described above.

The entrance control device 100, the gravity sensing device 101, the trajectory tracking device 102, the trajectory stitching device 103, the shopping path calculation device 104, the order recording device 105, and the data analysis device 106 may be implemented by a computer device 20 as shown in fig. 2. Fig. 2 is a schematic structural diagram of a computer device to which the technical solution provided in the embodiment of the present application is applied. The computer device 20 in fig. 2 includes, but is not limited to: a processor 201, a memory 202, an input unit 204, an interface unit 205, a power supply 206, and the like. Optionally, the computer device 20 further includes a camera 200, a time device 203, and a gravity sensor 207.

The camera 200 is configured to capture an image and send the image to the processor 201. The processor 201 is a control center of the computer device, connects various parts of the entire computer device using various interfaces and lines, and performs various functions of the computer device and processes data by running or executing software programs and/or modules stored in the memory 202 and calling data stored in the memory 202, thereby monitoring the computer device as a whole. Processor 201 may include one or more processing units; optionally, the processor 201 may integrate an application processor and a modem processor, wherein the application processor mainly handles operating systems, user interfaces, application programs, and the like, and the modem processor mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 201. If the computer device 20 is the trajectory tracking device 102, then the computer device 20 also includes a camera 200.

The memory 202 may be used to store software programs as well as various data. The memory 202 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one functional unit, and the like. Further, the memory 202 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Alternatively, the memory 202 may be a non-transitory computer readable storage medium, for example, a read-only memory (ROM), a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

The time device 203 is used for timing. If the computer device 20 is a trajectory tracking device 102, the computer device 20 further comprises a time means 203.

The input unit 204 may include a Graphics Processing Unit (GPU) that processes image data of still images or videos obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode.

The interface unit 205 is an interface for connecting an external device to the computer apparatus 20. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 205 may be used to receive input (e.g., data information, etc.) from an external device and transmit the received input to one or more elements within the computer apparatus 20 or may be used to transmit data between the computer apparatus 20 and an external device.

A power source 206 (e.g., a battery) may be used to supply power to each component, and optionally, the power source 206 may be logically connected to the processor 201 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system.

The gravity sensor 207 may be used to obtain pickup data for the displayed items. If the computer device 20 is a gravity sensing device 101, the computer device 20 further comprises a gravity sensor 207.

Optionally, the computer instructions in the embodiments of the present application may also be referred to as application program code or system, which is not specifically limited in the embodiments of the present application.

It should be noted that the computer device shown in fig. 2 is only an example, and does not limit the computer device to which the embodiments of the present application are applicable. In actual implementation, the computer device may include more or fewer devices or components than those shown in FIG. 2.

The embodiment of the application can be applied to shopping scenes such as supermarkets, convenience stores, unmanned containers or unmanned stores.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art without any inventive work according to the embodiments of the present application are within the scope of the present application.

The method for determining the goods display position provided by the embodiment of the application is divided into the following two stages: a basic data acquisition stage and a data analysis processing stage.

Fig. 3 is a schematic flow chart illustrating a basic data acquisition phase in the method for determining the merchandise display position according to the embodiment of the present application. As shown in fig. 3, the method can be applied to the system architecture shown in fig. 1, and the method includes the following steps:

optionally, S100: the access control apparatus 100 acquires the identification information of the user and records the acquisition time. Wherein, one user corresponds to one identity information, and different users correspond to different identity information.

Specifically, the entrance control apparatus 100 acquires the identity information of the user through a sensor. Alternatively, the entrance control apparatus 100 may obtain the identity information of the user by responding to the user's operation (e.g., scanning the code to verify the identity information) during the interaction with the user. The identity information of the user may be any one of registered account information, fingerprint information, voiceprint information, iris information, face information, or the like of the user at the merchant.

In one example, the access control apparatus 100 includes a plurality of inlet sensors disposed at the inlet gate. When a user enters the entrance gate, the entrance sensor senses and records face information of the user, and the face information is used as identity information of the user.

Optionally, S101: the entrance and exit control apparatus 100 sends the identity information of the user, the identity information acquisition time, and the location to the trajectory splicing apparatus 103.

It should be noted that the location may be a location of the user acquired by the entrance control device, or the location may be a location where an entrance sensor acquiring identity information of the user is located.

S102: the trajectory tracking device 102 obtains the location of the user entering the display area, the point in time at each location, and the user identification.

In one possible implementation, the trajectory tracking device 102 obtains a picture of the user in the display area, the picture including the user's location within the display area at each point in time and characteristics of the user (e.g., information such as head and shoulder characteristics).

In another possible implementation, the trajectory tracking device 102 takes a picture of the user in the display area, then identifies the characteristics of the user through image recognition techniques, and obtains the user's location within the display area at each point in time. Wherein, the characteristics of the user can be used as the user identification. Alternatively, the trajectory tracking device 102 generates a trajectory identifier for a trajectory with the same characteristics as the user, and the trajectory identifier may be used as the user identifier. The embodiment of the present application does not limit the form of the track identifier, for example: the track identity may be a random sequence code. All of the positions of the user within the display area acquired by one of the trajectory tracking devices 102 resulting from movement of the user constitute the user trajectory of the user acquired by the trajectory tracking device 102.

It will be appreciated that the display area may include one or more trajectory tracking devices 102. The tracking range of the one or more tracking devices 102 (e.g., the shooting range when the tracking devices 102 are tracking cameras) includes the range of the display area.

In one example, the trajectory tracking device 102 may be a trajectory tracking camera, the display area includes a plurality of trajectory tracking cameras therein, each trajectory tracking camera has a shooting range that is a portion of the display area, all trajectory tracking cameras have shooting ranges that include the entire range of the display area, and the shooting ranges of two adjacent trajectory tracking cameras partially overlap.

S103: the trajectory tracking device 102 transmits the acquired positions of the users, the time point at each position, and the user identification to the trajectory stitching device 103.

In one possible implementation, the trajectory tracking device 102 may send a picture to the trajectory stitching device 103 that includes the user's location and the point in time at each location. The picture is used for the track stitching device 103 to acquire the position of the user, the time point at each position, and the user identification.

In another possible implementation, the trajectory tracking device 102 may send the user's location, the point in time at each location, and the user identification to the trajectory stitching device 103.

It will be appreciated that the trajectory tracking device 102 or devices 102 included in the display area each transmit the user's location, the point in time at each location, and the user identification to the trajectory stitching device 103.

S104: the gravity sensing device 101 obtains pickup data of the goods. The data fetch comprises: goods identification, pickup time and goods location. Optionally, the fetching data further includes: the number is taken.

Specifically, the gravity sensing device is used for collecting gravity signals and acquiring the goods taking data of the display position according to the gravity signals.

Illustratively, as shown in fig. 4, which is a schematic view of the gravity sensing device 101 and the shelf, in fig. 4, the shelf 40 further includes a plurality of storage layers 401 and a plurality of gravity sensing devices 101, and the plurality of storage layers 401 are disposed at intervals along the height direction of the shelf 40. At least one gravity sensing device 101 is correspondingly arranged in each accommodating layer 401. When a plurality of gravity sensing devices 101 are correspondingly arranged in each accommodating layer, the gravity sensing devices 101 are arranged on each accommodating layer at equal intervals.

S105: the gravity sensing device 101 sends the pick data for the item to the shopping path computing device 104.

It should be noted that, in the embodiment of the present application, the execution sequence of S100 to S101, S102 to S103, and S104 to S105 in the basic data acquisition stage is not limited, and for example, S102 to S103 are executed after S104 to S105 is executed, and then S100 to S101 are executed.

Fig. 5A is a schematic flow chart illustrating a data analysis processing stage in a method for determining an item display position according to an embodiment of the present application. As shown in fig. 5A, the method can be applied to the system architecture shown in fig. 1, and the method includes the following steps:

s201: the trajectory stitching device 103 obtains a user trajectory for each user entering the display area within a preset time period.

Specifically, the trajectory stitching device 103 generates a user trajectory according to the position of the user in the display area within the preset time period sent by the trajectory tracking device 102, the time point at each position, and the user identifier. The positions with the same user identification and the time of the corresponding position form a user track. The user trajectory includes an entrance to the display area. The preset time period may be a preset time period. Illustratively, the preset time period may be 24 hours, a week, etc.

Optionally, the track splicing device 103 further cleans the acquired user track of each user to obtain a cleaned user track. Specifically, the track stitching device 103 cleans the user track through the following steps:

step one, the track splicing device 103 acquires the position of the user whose position is unchanged or whose position change is smaller than a first preset threshold value within a specific time period and a time point at each position. Two positions, the position change of which is less than the first preset threshold value, are considered as the same position.

And step two, for the same position in the user track, the track splicing device 103 only retains the earliest and latest data at the time point, and deletes the rest data at the position.

S202: the track splicing device 103 acquires user identity information, identity information acquisition time, and an acquisition position.

In one possible implementation manner, the track splicing device 103 receives the user identity information, the identity information obtaining time and the location sent by the entrance control device 100.

In another possible implementation manner, the trajectory stitching device 103 requests the entrance control device 100 to acquire the user identity information, the identity information acquisition time, and the location.

S203: the track splicing device 103 establishes a corresponding relationship between the user track and the user identity information according to the user identity information, the identity information acquisition time and the acquisition position.

Specifically, the track splicing device 103 acquires a target position at which a difference value between the acquired position of the identity information and the reported position of the identity information is smaller than a second preset threshold. And the difference value between the time corresponding to the target position and the identity information acquisition time is smaller than a third preset threshold value. The target position is a position included in the user trajectory.

S204: the trajectory stitching device 103 sends the user trajectory and the user identity information corresponding to the user trajectory to the shopping path computing device 104.

S205: the shopping path computing device 104 obtains pickup data of the target item within a preset time period.

In one possible implementation, the shopping path computing device 104 may receive pickup data sent by the gravity sensing device 101, where the pickup data includes pickup data of a target item.

In another possible implementation manner, the shopping path calculating device 104 sends a request message for requesting to obtain the pickup data of the target item to the gravity sensing device 101, where the request message is used for obtaining the pickup data of the target item within a preset time period.

S206: the shopping path calculation device 104 determines at least one shopping path of the target item within the preset time period according to the data of taking the target item within the preset time period and the acquired user track. The target goods are any goods including data taken within a preset time period in the display area, or the target goods are any goods displayed in the display area. The shopping path is used to characterize the path through which a taker of the target item travels from the entrance of the display area to the display position of the target item to take the target item.

Specifically, the shopping path calculation device 104 determines a target user trajectory, which is one of the acquired user trajectories including a pickup position and a pickup time at which the target item is picked up. The shopping path computing device 104 determines a shopping path for the target item based on the target user trajectory.

In one possible implementation, the shopping path computing device 104 determines a shopping path for the targeted item based on the targeted user trajectory by:

the method comprises the following steps: the shopping path computing device 104 determines a target location from the locations included in the user trajectory based on the target fetch data. And the difference value between the target position and the taking position of the target goods is smaller than a fourth preset threshold value, and the difference value between the taking time and the time when the user is at the target position is smaller than a fifth preset threshold value. And determining the user track comprising the target position as the target user track, wherein the user track comprising the target position is considered to comprise the picking position and the picking time of the target goods.

Step two: the shopping path computing device 104 obtains a trajectory identification of the target location. Wherein, a track mark is used for uniquely characterizing a user track. The track identifier may be a user identifier corresponding to the target location, or may be a track identifier (e.g., a random sequence code) generated by the track-tracking device 102 for a track with the same user characteristics.

Step three: the shopping path computing device 104 determines a shopping path for the target item based on the trajectory identification of the target location.

Specifically, the display area includes a plurality of area ranges; each zone range includes a plurality of locations. The shopping path computing device 104 determines a shopping path for the target item based on the trajectory identification of the target location by:

the method comprises the following steps: the shopping path computing device 104 takes the user trajectory including the trajectory identification of the target location as the target user trajectory and determines, of the target user trajectories, a trajectory from the time of entry into the display area to the time of pickup as the target shopping trajectory for the target item. The target shopping track is composed of a plurality of track data, and the track data comprises a position and the time of a taker at the position.

Step two: the shopping path computing device 104 performs, for each target shopping track: integrating a plurality of track data positioned in the same area range into integrated track data; wherein the integrated trajectory data comprises an identification of the region scope, a time to enter the region scope, and a time to leave the region scope; and determining the integrated target shopping path as the shopping path of the target goods.

It will be appreciated that the integrated trajectory data may also include an identification of the area coverage, a location within the area coverage, a time to enter the area coverage, and a time to exit the area coverage. The plurality of area ranges included in the display area may be determined in advance based on the distribution of the shelves. If the target goods have no corresponding picking data within the preset time period (namely, the target goods are not picked by the user), determining that the path deviation degree of the target goods is 0, and if the probability that the path deviation degree of the target goods is 0 is greater than a threshold value, considering to change the display position of the target goods.

S207: the shopping path computing device 104 sends at least one shopping path for the targeted item within a preset time period to the data analysis device 106.

S208: the data analysis device 106 determines at least one path offset for the target item, the path offset being an offset between a shopping path for the target item and a preset path for the target item, the preset path for the target item including a predefined path that travels from an entrance of the display area to a display position for the target item.

It will be appreciated that the predetermined path for the target item may be the shortest path from the entrance of the display area to the display location for the target item, or may be the most common path from the entrance of the display area to the display location for the target item. Wherein, the most common path can be analyzed according to the historical shopping path of the target goods.

In one possible implementation, the shopping path of the target item is a first set of area ranges, and the preset path of the target item is a second set of area ranges. The data analysis device 106 determines a path offset between the shopping path of the target item and the preset path by:

the method comprises the following steps: the data analysis equipment 106 acquires the number of elements in a union set of the first set and the second set;

step two: the data analysis device 106 obtains the number of elements in the intersection of the first set and the second set.

Step three: the data analysis device 106 obtains and collects the ratio of the number of the elements in the intersection to the number of the elements in the intersection as the path offset between the shopping path and the preset path of the target item.

In one example, as shown in FIG. 5B, assume that the predetermined path of the targeted item is A (a1, B1, c1, d1) and one shopping path of the targeted item is B (a1, B1, c1, a2, f1, e1, d 1). Wherein, a1, b1, c1, d1, f1 and e1 respectively represent the area ranges a, b, c, d, f, e and a2 of the 2 nd passing of the area ranges a. a denotes the entrance to the display area and d denotes the area within which the target item is located. A ═ B ═ a (a1, B1, c1, a2, f1, e1, d1), a ═ B ═ a2, f1, e 1. The ratio of | A @ B | to | A @ B | is 7/3. Then the path offset between the shopping path of the target item and the preset path is 7/3.

It is understood that the data analysis device 106 may obtain the path offset degree of each shopping path of the target item from the preset path of the target item according to the above steps.

In another possible implementation, the shopping path of the target item is a third set of locations, and the preset path of the target item is a fourth set of locations. The data analysis device 106 determines the path offset between the shopping path of the target item and the preset path by calculating the union and intersection of the third set and the fourth set and determining the ratio of the number of the elements in the union to the number of the elements in the intersection. And when the difference value of the position in the third set and the position in the fourth set is smaller than a fourth preset threshold value, the two positions are considered to be the same.

S209: the data analysis device 106 determines the rationality of the display position of the target good based on the determined at least one path offset degree.

In one possible implementation, the data analysis device 106 may determine the reasonableness of the display position of the target good based on an average of at least one path deviation degree of the target good. The smaller the average of the plurality of path offsets, the more reasonable the display position of the target item tends to be. The larger the average of the plurality of path deviation degrees is, the more unreasonable the display position of the target item tends to be.

In the embodiment of the present application, the data analysis device 106 has more analysis data. For example: a degree of path deviation of the target item. The route deviation degree of the target goods can reflect whether the display position of the target goods is reasonable or not, so that the determined display position of the target goods is more accurate in reasonability. Further, the method provided by the embodiment of the application may further include determining a display scheme of the target item according to the path deviation degree of the target item and the target parameter.

With reference to fig. 5A, as shown in fig. 5C, after S208, the method provided in the embodiment of the present application further includes:

s210: the data analysis device 106 obtains the target parameter. The target parameter includes at least one of a first value for indicating a degree of picking of the target item and a second value for indicating a degree of selling of the target item.

Specifically, the data analysis device 106 obtains the picking heat of the target goods by the following steps:

step one, the data analysis device 106 obtains the taking quantity of all goods in the display area within the preset time period.

Step two, the data analysis equipment 106 obtains the taking quantity in the taking data of the target goods in the preset time period.

And step three, taking the ratio of the taking quantity of the target goods to the taking quantity of all the goods as the taking heat degree of the target goods by the data analysis equipment 106.

It is understood that the data obtained by taking all items in the display area within the preset time period in the data analysis device 106 may be actively sent to the data analysis device 106 by the gravity sensing device 101, or may be obtained by requesting the gravity sensing device 101 by the data analysis device 106, which is not limited in this application.

In one possible implementation, the data analysis device 106 obtains the sales heat of the target item by:

step one, the data analysis device 106 obtains the sales number in the sales data of all the goods in the display area within a preset time period.

Specifically, the data analysis device 106 obtains the sales data in the order recording device within a preset time period. The sales data includes item identification, time of sale, quantity of sale, and the like.

It can be understood that the data analysis device 106 may actively request to acquire the sales data in the order recording device 105 within a preset time period, and the data analysis device 106 may also receive the sales data actively reported by the order recording device 105. This is not limited in this application.

Step two, the data analysis device 106 obtains the sales quantity in the sales data of the target goods in the preset time period.

Step three, the data analysis device 106 takes the ratio of the sales quantity of the target item to the sales quantities of all items as the sales heat of the target item.

In another possible implementation manner, the data analysis device 106 obtains the number of sales of the target item and the number of sales of the target item in the sales data of all items in the display area within a preset time period, and uses a ratio of the number of sales of the target item to the number of sales of all items as the sales heat of the target item.

S211: the data analysis device 106 determines a display scheme for the target item based on the determined at least one path skewness of the target item and the target parameter.

Specifically, the data analysis device 106 determines the display scheme of the target item according to the at least one path deviation degree and the target parameter of the target item by the following steps:

the method comprises the following steps: the data analysis device 106 may determine the type of the target item based on the target parameters. The types of the target goods include: at least one of a required commodity, a hot commodity, a problem commodity, and a potential commodity.

And when the sales heat of the target goods is greater than a sixth preset threshold and the taking heat is less than or equal to a seventh preset threshold, determining the type of the target goods as the necessary goods.

And when the sales heat of the target goods is greater than a sixth preset threshold and the taking heat is greater than a seventh preset threshold, determining that the type of the target goods is hot goods.

And when the sales heat of the target goods is less than or equal to a sixth preset threshold and the taking heat is less than or equal to a seventh preset threshold, determining the type of the target goods as a problem goods.

And when the sales heat of the target goods is less than or equal to a sixth preset threshold and the taking heat is greater than a seventh preset threshold, determining the type of the target goods as a potential goods.

Step two: the data analysis device 106 determines an overall path skewness of the target item based on the at least one path skewness. Alternatively, the overall degree of path deviation of the target item may be characterized by an average of all the degree of path deviation of the target item.

Step three: the data analysis device 106 determines a display scenario for the target item based on the overall path skewness of the target item and the type of the target item.

Specifically, the display position of the target item is adjusted when the overall path deviation degree of the target item is greater than a first preset critical threshold value.

When the overall path deviation degree of the target goods is smaller than or equal to a first preset critical threshold value, if the type of the target goods is a potential goods, the display position of the target goods is unchanged, and promotion and publicity for the target goods are increased.

And when the integral path deviation degree of the target goods is smaller than or equal to a first preset critical threshold value, if the type of the target goods is hot goods, increasing the stock of the target goods.

When the overall path deviation degree of the target goods is smaller than or equal to a first preset critical threshold value, if the type of the target goods is the necessary goods, the stock of the target goods is increased. And when the integral path deviation degree of the target goods is smaller than or equal to a second preset critical threshold value, changing the display position of the target goods, and giving up the existing display position of the target goods to other goods of which the integral path deviation degree is larger than the first preset critical threshold value. Wherein the second predetermined threshold is less than the first predetermined threshold.

When the overall path deviation degree of the target goods is smaller than or equal to the first preset critical threshold value, if the type of the target goods is a problem goods, the stock of the target goods is not increased.

Alternatively, the data analysis device 106 determines the display scheme for the target item based on the overall path skewness and the target parameter of the at least one item adjacent to the target item in the display area.

In one example, assuming that the target item has a sales heat of 0.22 in 5 months of 2020 and a pickup heat of 1.89, the type of the target item is a potential item. The overall path offset of the target item is ranked 2 among the path offsets of all items in the display area, and the overall path offset is 42.23. Then, the shopping path of the target item is generally different from the preset path, but the overall path deviation degree of the item near the target item is smaller than the first preset critical threshold. The data analysis device 106 may determine the display scheme for the target item as an addition of promotional advertisements on the displayed shelves that generate a purchasing interest in the target item after the user entering the display area becomes aware of the target item.

Thus, the determined display scheme of the target goods is more reasonable according to the overall path deviation degrees and the target parameters of all the goods in the display area.

In the embodiment of the present application, the data analysis device 106 has more analysis data. For example: a degree of path deviation of the target item and a target parameter. The data analysis device 106 combines the target parameters (such as the sales heat of the target goods and the picking heat of the target goods) on the basis of the path deviation of the target goods, and the determined display scheme of the target goods is more reasonable.

The scheme provided by the embodiment of the application is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art would readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The embodiment of the present application may divide the function modules of the apparatus for determining the merchandise display position according to the method example, for example, each function module may be divided according to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. It should be noted that, in the embodiment of the present application, the division of the module is schematic, and is only one logic function division, and there may be another division manner in actual implementation.

Fig. 6 is a schematic structural view of an apparatus for determining a product display position according to an embodiment of the present application. The apparatus 50 for determining the merchandise display position may be used to perform the functions performed by the trajectory stitching device 103, the shopping path computing device 104 and the data analysis device 106 in any of the above embodiments (such as the embodiments shown in fig. 3, fig. 5A or fig. 5C). The goods display position determining apparatus 50 includes: a first determination module 501, a second determination module 502, and a third determination module 503. Wherein the first determining module 501: the system comprises a display area, a data processing unit and a control unit, wherein the display area is used for displaying the target goods, the data processing unit is used for determining at least one shopping path of the target goods within a preset time period, and the shopping path is used for representing a path which a taker of the target goods travels from an entrance of the display area to a display position of the target goods to take the target goods; for example, in conjunction with fig. 5A, the first determining module 501 may be configured to perform S206. A second determining module 502, configured to determine at least one path offset degree of the target item, where the path offset degree is an offset degree between a shopping path of the target item and a preset path of the target item, and the preset path of the target item includes a predefined path that travels from an entrance of the display area to a display position of the target item; for example, in conjunction with fig. 5A, the second determination module 502 may be configured to perform S208. A third determining module 503, configured to determine the reasonableness of the display position of the target item according to the determined at least one path offset degree. For example, in conjunction with fig. 5A, the third determining module 503 may be configured to perform S209.

Optionally, the apparatus 50 for determining the merchandise display position further includes: the obtaining module 504 is configured to obtain data of taking a target item within a preset time period; the data fetching comprises: the pickup time and the pickup position at which the target goods are picked up; acquiring a user track of each user entering a display area within a preset time period; for example, in conjunction with fig. 5A, the obtaining module 504 may be configured to perform the receiving step in S204. The first determining module 501 is specifically configured to determine at least one target user trajectory, where the target user trajectory is: the user track of each user is acquired, wherein the user track comprises the picking time and the picking position of the target goods; and determining a track from the time of entering the entrance of the display area to the picking time of the target goods in the target user tracks as a shopping path of the target goods according to each determined target user track.

Optionally, the first determining module 501 is specifically configured to: determining a track from the time of entering an entrance of the display area to the time of taking the target goods in the target user track as a target shopping track of the target goods; the target shopping track is composed of a plurality of track data, and the track data comprises a position and the time of a taker at the position; integrating a plurality of track data located in the same area range in a target shopping track into integrated track data, wherein one integrated track data comprises an identification of the area range where the integrated track data is located, time for entering the area range and time for leaving the area range; and determining the integrated target shopping track as a shopping path of the target goods.

Optionally, the obtaining module 504 is further configured to: acquiring a target parameter, wherein the target parameter comprises at least one of a first numerical value and a second numerical value, the first numerical value is used for representing the taking heat of a target product, and the second numerical value is used for representing the selling heat of the target product; the third determining module 503 is further configured to determine a display scheme of the target item according to the at least one path offset and the target parameter.

Optionally, the sales heat is used to characterize the sales volume of the target item in the display area over the preset time period as a proportion of the sales volume of all items in the display area over the preset time period.

Optionally, the picking heat is used for representing the ratio of the picking data of the target goods in the display area within the preset time period to the picking data of all the goods in the display area within the preset time period.

Optionally, the third determining module 503 is specifically configured to determine a type of the target item according to the target parameter, where the type includes: at least one of essential goods, hot goods, problem goods, and potential goods; determining the integral path deviation degree of the target goods according to at least one path deviation degree; and determining the display scheme of the target goods according to the overall path deviation degree of the target goods and the type of the target goods.

In one example, referring to fig. 2, the receiving function of the obtaining module 504 may be implemented by the interface unit 205 in fig. 2. The processing function of the acquiring module 504, the first determining module 501, the second determining module 502, and the third determining module 503 can be implemented by the processor 201 in fig. 2 calling a computer program stored in the memory 202.

For the detailed description of the above alternative modes, reference is made to the foregoing method embodiments, which are not described herein again. In addition, for the explanation and the description of the beneficial effects of any one of the above-provided apparatus 50 for determining an merchandise display position, reference may be made to the corresponding method embodiment described above, and details are not repeated.

It should be noted that the actions performed by the modules are only specific examples, and the actions actually performed by the units refer to the actions or steps mentioned in the description of the embodiments described above according to fig. 3, fig. 5A, or fig. 5C.

An embodiment of the present application further provides a computer device, including: a memory and a processor; the memory is for storing a computer program, and the processor is for invoking the computer program to perform the actions or steps mentioned in any of the embodiments provided above.

Embodiments of the present application also provide a computer-readable storage medium, which stores a computer program, and when the computer program runs on a computer, the computer program causes the computer to execute the actions or steps mentioned in any of the embodiments provided above.

The embodiment of the application also provides a chip. Integrated with the chip are circuitry and one or more interfaces for implementing the functionality of the mobile device and/or server described above. Optionally, the functions supported by the chip may include processing actions in the embodiments described with reference to fig. 3, fig. 5A, or fig. 5C, which are not described herein again. Those skilled in the art will appreciate that all or part of the steps for implementing the above embodiments may be implemented by a program instructing the associated hardware to perform the steps. The program may be stored in a computer-readable storage medium. The above-mentioned storage medium may be a read-only memory, a random access memory, or the like. The processing unit or processor may be a central processing unit, a general purpose processor, an Application Specific Integrated Circuit (ASIC), a microprocessor (DSP), a Field Programmable Gate Array (FPGA) or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof.

The embodiments of the present application also provide a computer program product containing instructions, which when executed on a computer, cause the computer to execute any one of the methods in the above embodiments. The computer program product includes one or more computer instructions. The procedures or functions described in accordance with the embodiments of the present application are all or partially generated upon loading and execution of computer program instructions on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). Computer-readable storage media can be any available media that can be accessed by a computer or can comprise one or more data storage devices, such as servers, data centers, and the like, that can be integrated with the media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

It should be noted that the above devices for storing computer instructions or computer programs provided in the embodiments of the present application, such as, but not limited to, the above memories, computer readable storage media, communication chips, and the like, are all nonvolatile (non-volatile).

Other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.

Although the present application has been described in conjunction with specific features and embodiments thereof, various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application.

Claims

1. A method of determining a merchandise display location, the method comprising:

determining at least one shopping path of a target item within a preset time period, wherein the shopping path is used for representing a path through which a picker of the target item travels from an entrance of a display area to a display position of the target item to pick the target item;

determining at least one path offset degree of the target item, wherein the path offset degree is an offset degree between a shopping path of the target item and a preset path of the target item, and the preset path of the target item comprises a predefined path which travels from an entrance of the display area to a display position of the target item;

determining the rationality of the display position of the target item based on the at least one path offset.

2. The method of claim 1, wherein the determining at least one shopping path for the targeted item within the predetermined time period comprises:

acquiring the taking data of the target goods within the preset time period; the fetching data comprises: the picking time and the picking position at which the target goods are picked;

acquiring a user track of each user entering the display area within the preset time period;

determining at least one target user trajectory, wherein the target user trajectory is: the user track of each user is acquired, wherein the user track comprises the picking time and the picking position of the target goods;

and determining a track from the time of entering the entrance of the display area to the taking time of the target goods in the target user tracks as a shopping path of the target goods according to each determined target user track.

3. The method of claim 2, wherein the display area comprises a plurality of area ranges; each zone range includes a plurality of locations; the determining a trajectory from a time of entering an entrance of the display area to a pickup time at which the target item is picked up among the target user trajectories as a shopping path of the target item includes:

determining a track from the time of entering an entrance of the display area to the time of taking the target item from the target user track as a target shopping track of the target item; the target shopping track is composed of a plurality of track data, and the track data comprises a position and the time of the carrier at the position;

integrating a plurality of track data located in the same area range in the target shopping track into integrated track data, wherein one integrated track data comprises an identification of the area range where the integrated track data is located, time of entering the area range and time of leaving the area range;

and determining the integrated target shopping track as the shopping path of the target goods.

4. The method according to any one of claims 1-3, further comprising:

acquiring a target parameter, wherein the target parameter comprises at least one of a first numerical value and a second numerical value, the first numerical value is used for representing the taking heat degree of the target goods, and the second numerical value is used for representing the selling heat degree of the target goods;

and determining the display scheme of the target goods according to the at least one path offset degree and the target parameters.

5. The method of claim 4, wherein the sales heat is used to characterize a ratio of the sales of the target item in the display area over the preset time period to the sales of all items in the display area over the preset time period; and/or the presence of a gas in the gas,

the picking heat degree is used for representing the ratio of the picking data of the target goods in the display area in the preset time period to the picking data of all goods in the display area in the preset time period.

6. The method of claim 4, wherein determining the display scheme for the target good based on the at least one path offset and the target parameter comprises:

determining the type of the target goods according to the target parameters, wherein the type comprises the following steps: at least one of essential goods, hot goods, problem goods, and potential goods;

determining the integral path deviation degree of the target goods according to the at least one path deviation degree;

and determining a display scheme of the target goods according to the overall path deviation degree of the target goods and the type of the target goods.

7. An apparatus for determining a position of an article display, comprising:

the system comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for determining at least one shopping path of a target item within a preset time period, and the shopping path is used for representing a path through which a taker of the target item travels from an entrance of a display area to a display position of the target item to take the target item;

a second determining module, configured to determine at least one path offset degree of the target item, where the path offset degree is an offset degree between a shopping path of the target item and a preset path of the target item, and the preset path of the target item includes a predefined path that travels from an entrance of the display area to a display position of the target item;

and a third determining module for determining the rationality of the display position of the target item according to the at least one path offset degree.

8. The determination apparatus of claim 7, further comprising an acquisition module,

the acquisition module is configured to: acquiring a target parameter, wherein the target parameter comprises at least one of a first numerical value and a second numerical value, the first numerical value is used for representing the taking heat degree of the target goods, and the second numerical value is used for representing the selling heat degree of the target goods;

the third determining module is further configured to determine a display scheme of the target item according to the at least one path offset and the target parameter.

9. A computer device, comprising: a memory for storing a computer program and a processor for executing the computer program to perform the method of any one of claims 1-6.

10. A computer-readable storage medium, having stored thereon a computer program which, when run on a computer, causes the computer to perform the method of any one of claims 1-6.