JP6984957B1 - Customer Purchasing Analysis System, Customer Purchasing Analysis Method, and Program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a customer purchase analysis system, a customer purchase analysis method, and a program capable of grasping the purchase behavior of an individual or a specific attribute. SOLUTION: In a customer purchase analysis system 1, a customer behavior analysis module 100 that analyzes customer behavior based on a detection position of an identification code for a first image taken at a place to be behavior analysis, and a second including a customer. The customer identification module 110 that acquires the customer information estimated by the analysis of the image of the second image, the identification code detected from the second image, the purchase information of the customer acquired by the settlement processing device, and the identification code that the customer carries. A customer who aggregates the customer behavior acquired by the customer behavior analysis means, the customer information acquired by the customer identification means, and the purchase information acquired by the purchase information acquisition means by using the purchase information acquisition module 120 to be acquired and the identification code as a key. It includes a purchase analysis information generation module 130. [Selection diagram] Fig. 1

Description

The present invention relates to a customer purchase analysis system, a customer purchase analysis method, and a program capable of grasping the purchase behavior of an individual or a specific attribute.

A technique for analyzing the relationship between customer behavior and product purchase status in a store has been proposed based on an image of the inside of the store (Patent Document 1).

PCT / JP2015 / 005655

In Patent Document 1, the first customer image information regarding the photographed image of the customer entering the store is acquired, the second customer image information regarding the photographed image of the customer entering the accounting area is acquired, and the customer exits the accounting area. Acquire the third customer image information regarding the customer's photographed image, acquire the purchase information for each customer, measure the migration time for each customer based on the first and second customer image information, and the third. A method has been proposed in which travel time and purchase information are associated with each customer based on customer image information, analysis information that aggregates these information is generated, and analysis information is presented to the user.

However, the conventional technique represented by Patent Document 1 has a problem that a customer image, particularly a face image, is erroneously recognized due to an external factor such as external light or lighting. If the face image is erroneously recognized, the customer or the attribute of the customer cannot be identified, and the purchase information may not be analyzed normally.

In response to this problem, the present inventor acquires the customer behavior by detecting the identification code of the shopping cart when the customer is traveling, and acquires the attribute information of the customer by analyzing the face image at the time of accounting, and the identification code. We focused on the fact that it is possible to associate customer behavior during a round trip with customer attribute information with high accuracy by linking it with the customer behavior acquired earlier. Furthermore, by acquiring and adding customer purchase information at the time of accounting, it is possible to generate more accurate customer purchase analysis information. A QR code, a barcode, or the like can be used as the identification code of the shopping cart, and an RF tag or other non-contact tag or the like can be used as the identifier. In addition, the image acquired at the time of accounting can be a posture image of the customer instead of the face image of the customer, so that privacy rights such as portrait rights can be taken into consideration. Furthermore, by estimating the number and attributes of customers and accompanying persons at the time of accounting and estimating the group composition based on that, it is possible to use it for customer purchasing analysis.

An object of the present invention is to provide a customer purchase analysis system, a customer purchase analysis method, and a program capable of grasping a purchase behavior of an individual or a specific attribute by an identifier carried by a customer.

The present invention provides the following solutions.

The invention according to the first feature is
A customer behavior analysis method that analyzes customer behavior based on the detection position of the identification code for the first image taken at the location targeted for behavior analysis.
Customer information estimated by analysis of a second image including a customer, customer identification means for acquiring an identification code detected from the second image, and
The customer's purchase information acquired by the checkout processing device, the purchase information acquisition method for acquiring the identification code carried by the customer, and the purchase information acquisition method.
Customer purchase analysis that aggregates the customer behavior acquired by the customer behavior analysis means, the customer information acquired by the customer identification means, and the purchase information acquired by the purchase information acquisition means using the identification code as a key. Information generation means and
A customer purchase analysis information distribution means for distributing customer purchase analysis information generated by the customer purchase analysis information generation means, and a customer purchase analysis information distribution means.
Equipped with
The customer purchase analysis information delivery means provides a customer purchase analysis system to set the date and time to perform the confirmation of whether or not to perform the delivery.

According to the invention according to the first feature, the customer behavior analysis means for analyzing the customer behavior based on the detection position of the identification code for the first image taken at the place of the behavior analysis target, and the second including the customer. Acquire the customer information estimated by analyzing the image, the customer identification means for acquiring the identification code detected from the second image, the customer's purchase information acquired by the settlement processing device, and the identification code carried by the customer. The purchase information acquisition means to be performed, the customer behavior acquired by the customer behavior analysis means, the customer information acquired by the customer identification means, and the purchase acquired by the purchase information acquisition means using the identification code as a key. and customer purchase analysis information generation means for aggregating the information, and a customer purchase analysis information distribution means for distributing the customer purchase analysis information generated in said customer purchase analysis information generating means, said customer purchase analysis information distribution unit, the distribution to set the date and time at which whether or not to confirm perform.

The invention according to the first feature is in the category of the customer purchase analysis system, but the same operation and effect can be obtained even with the customer purchase analysis method and the program.

The invention according to the second feature is
RF tag ID of the place to be behaviorally analyzed, customer behavior analysis means to analyze customer behavior based on the location information, and
Customer information estimated by analysis of images including customers, customer identification means for acquiring the time recorded in the image data, and
The RF tag ID detected at the shooting location of the image, the RF tag ID acquisition means for acquiring the detected time, and the RF tag ID acquisition means.
A customer information generation means that aggregates the customer information specified by the customer identification means and the RF tag ID acquired by the RF tag ID acquisition means using the time as a key.
The customer's purchase information acquired by the settlement processing device, the RF tag ID, or the purchase information acquisition means for acquiring the settlement time,
Using the RF tag ID or the RF tag ID and time as a key, the customer behavior acquired by the customer behavior analysis means, the customer information acquired by the customer information generation means, and the purchase information acquisition means. A customer purchase analysis information generation means that aggregates the acquired purchase information,
A customer purchase analysis information distribution means for distributing customer purchase analysis information generated by the customer purchase analysis information generation means, and a customer purchase analysis information distribution means.
Equipped with
The customer purchase analysis information delivery means provides a customer purchase analysis system to set the date and time to perform the confirmation of whether or not to perform the delivery.

According to the invention according to the second feature, the RF tag ID of the place of the behavior analysis target, the customer behavior analysis means for analyzing the customer behavior based on the position information, and the customer information estimated by the analysis of the image including the customer. The customer identification means for acquiring the time recorded in the image data, the RF tag ID detected at the shooting location of the image, the RF tag ID acquisition means for acquiring the detected time, and the time as a key. The customer information generation means that aggregates the customer information specified by the customer identification means and the RF tag ID acquired by the RF tag ID acquisition means, the purchase information of the customer acquired by the settlement processing device, and the RF tag. The purchase information acquisition means for acquiring the ID or the settlement time, the customer behavior acquired by the customer behavior analysis means using the RF tag ID or the RF tag ID and the time as a key, and the customer information. A customer who distributes the customer information acquired by the generation means, the customer purchase analysis information generation means which aggregates the purchase information acquired by the purchase information acquisition means, and the customer purchase analysis information generated by the customer purchase analysis information generation means. and a purchase analysis information delivery means, the customer purchase analysis information delivery means, to set the date and time to perform the confirmation of whether or not to perform the delivery.

The invention according to the third feature is the customer purchase analysis system which is the invention according to the first feature or the second feature.
The customer identification means provides a customer purchase analysis system that estimates the number and attributes of a person accompanied by a customer by analyzing an image including the customer, and also acquires a determined group composition.

According to the invention according to the third feature, in the customer purchase analysis system which is the invention according to the first feature or the second feature, a person who accompanies the customer by analyzing an image including the customer in the customer identification means. Estimate the number of people and attributes of, and acquire the determined group composition.

The invention according to the fourth feature is
A step to analyze customer behavior based on the detection position of the identification code for the first image taken at the behavior analysis target location,
The step of acquiring the customer information estimated by the analysis of the second image including the customer and the identification code detected from the second image, and
The customer's purchase information acquired by the checkout processing device, the step to acquire the identification code carried by the customer, and
And the identification code to the key, and the customer behavior, and the customer information, comprising the steps of: by aggregating the purchase information to generate a customer purchase analysis information,
The step of distributing the generated customer purchase analysis information and
Equipped with
Wherein the step of delivery, provide customer purchase analysis how to set the date and time to perform the confirmation of whether or not to perform the delivery.

The invention according to the fifth feature is
In the customer purchase analysis method system,
A step to analyze customer behavior based on the detection position of the identification code for the first image taken at the behavior analysis target location,
A step of acquiring customer information estimated by analysis of a second image including a customer and an identification code detected from the second image.
The step of acquiring the customer's purchase information acquired by the checkout processing device and the identification code carried by the customer,
And the identification code to the key, and the customer behavior, and the customer information, the step of generating a customer purchase analysis information by aggregating the purchase information,
Steps to distribute the generated customer purchase analysis information,
To execute ,
Wherein the step of delivery, to provide the order of the program to set the date and time to perform the confirmation of whether or not to perform the delivery.

According to the present invention, it is possible to provide a customer purchase analysis system, a customer purchase analysis method, and a program capable of grasping the purchase behavior of an individual or a specific attribute by an identifier carried by the customer. Become.

FIG. 1 is a diagram showing a first embodiment of the customer purchase analysis system 1. FIG. 2 is a diagram showing a flow char of a customer purchase analysis process executed by the customer purchase analysis system 1. FIG. 3 is a diagram showing a second embodiment of the customer purchase analysis system 1. FIG. 4 is a diagram showing a third embodiment of the customer purchase analysis system 1. FIG. 5 is a diagram showing a fourth embodiment of the customer purchase analysis system 1. FIG. 6 is a diagram showing a fifth embodiment of the customer purchase analysis system 1. FIG. 7 is a diagram showing a flow char of the customer purchase analysis process according to the fifth embodiment of the customer purchase analysis system 1.

Hereinafter, the best mode for carrying out the present invention will be described with reference to the drawings. It should be noted that this is only an example, and the technical scope of the present invention is not limited to this.

[Configuration of customer purchase analysis system 1]
A preferred embodiment (first embodiment) of the present invention will be described with reference to FIG. FIG. 1 is a diagram for explaining a customer purchase analysis system 1 which is a preferred embodiment of the present invention. The customer purchase analysis system 1 is a computer system that provides customer purchase analysis information capable of grasping the purchase behavior of an individual or a specific attribute.

The customer purchase analysis system 1 will be described in the present embodiment as being realized by the computer 10, the photographing device 4, and the settlement processing device 5, but the computer 10 may be realized by a plurality of computers such as a cloud computer. good. The photographing device 4 is an photographing device capable of photographing an identification code, a customer's face, a customer's whole body, a customer's periphery, etc. with a resolution sufficient for image analysis, and it is assumed that the photographed image can be transmitted to the computer 10. .. There may be a plurality of photographing devices 4A instead of one so that the entire sales floor can be photographed. Further, the photographing device 4 shall be provided at a position where the face image of the customer 2 can be clearly photographed at the time of checkout at the cash register. In that case, the photographing apparatus 4B may be integrated with the settlement processing apparatus 5 (registration) for accounting. For example, when the settlement processing device is a tablet terminal incorporating a cash register application, the camera function of the tablet terminal may be the photographing device 4B. Further, in the first embodiment, the customer purchase analysis system 1 is shown in a form in which the customer DB 6 is provided inside a communicable external device, but the customer DB 6 may be provided inside the computer 10. Further, when only the attribute of the customer is specified without specifying the individual customer, the customer DB 6 may not be included.

The customer purchase analysis system 1 includes a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), etc. as a control unit, and can be used as a communication unit for other terminals or other terminals. A device for enabling communication with a device or the like, for example, a Wi-Fi (Wi-Filess-Fidelity) compatible device compliant with IEEE802.11 or the like is provided. Further, the customer purchase analysis system 1 includes a data storage unit such as a hard disk, a semiconductor memory, a recording medium, and a memory card as a recording unit. Further, the processing unit includes various devices and the like that execute various processes.

In the customer purchase analysis system 1, the control unit reads a predetermined program, and in cooperation with the communication unit and the recording unit, the customer behavior analysis module 100, the customer identification module 110, the purchase information acquisition module 120, and the customer purchase analysis information. The module 130 and the customer purchase analysis information distribution module 140 are realized. When the customer purchase analysis information is not distributed, the customer purchase analysis information distribution module 140 can be omitted.

[Purchasing customer analysis processing]
Next, the purchase customer analysis process executed by the customer purchase analysis system 1 will be described with reference to FIGS. 1 and 2. As a premise, it is assumed that the sales floor (store) visited by the customer 2 to purchase the product is the place to be behaviorally analyzed. Further, at the sales floor, the customer 2 possesses a shopping cart 3 to which an identification code is attached for customer behavior analysis. The identification code here may be a QR code, a one-dimensional or two-dimensional bar code, a URL (Uniform Resource Locator) address, a predetermined character string, or the like, and is unique to high speed by analyzing an image containing the QR code or a predetermined character string. It shall have information that can identify the position. The identification code does not have to be particular about being given to the shopping cart 3, and it is sufficient if it can be specified that the customer 2 possesses it.

The customer purchase analysis process will be described with reference to the flowchart of FIG. The photographing device 4A photographs the first image of the sales floor, which is the place of the behavior analysis target of the customer 2 (step S201). The first image may be a still image or a moving image, and includes an identification code assigned to the shopping cart 3 possessed by the customer 2, the face of the customer 2, the whole body of the customer 2, the periphery of the customer 2, and the like. , It is assumed that the resolution is sufficient for image analysis. The first image may be taken according to the instruction of the customer behavior analysis module 100 of the customer purchase analysis system 1 or may be taken at all times.

Next, the customer behavior analysis module 100 of the customer purchase analysis system 1 receives the first image taken in step S201, analyzes the first image, and detects the position of the customer 2 based on the identification code. Analyzing customer behavior (step S202). The customer behavior here is the behavior trajectory, staying time, etc. of the customer 2, and includes behaviors such as what kind of product was viewed in what order and for how long. In the flowchart of FIG. 2, steps S201 and S202 are described as being performed in order, but it is assumed that the processes may be performed in parallel at all times. Further, when there are a plurality of customers 3 in the sales floor, naturally, there are also a plurality of identification codes, so that the customer behavior analysis in step S202 is performed for each of the identification codes.

Next, the photographing device 4B photographs a second image including the face image of the customer 2 and the identification code at the time of checkout at the cash register (step S203). The second image in the first embodiment may be a still image or a moving image, includes an identification code assigned to the shopping cart 3 possessed by the customer 2, and the face of the customer 2 for image analysis. It is assumed that the resolution is sufficient. The second image may be taken according to the instruction of the customer identification module 110 of the customer purchase analysis system 1 or at the timing of accounting.

Next, the customer identification module 110 of the customer purchase analysis system 1 receives the second image taken in step S203 and analyzes the second image to estimate the customer information of the customer 2 and obtain an identification code. Acquire and specify the customer information (step S204). The customer information in the first embodiment includes customer ID, face image, name, age, gender, physical characteristics (height, weight, shoe size, etc.), contact information (email address, telephone number, SNS address, etc.). ) Customer 2 It shall be information for identifying an individual. Customer information shall be registered in the customer DB 6 in advance. The customer information is specified based on the data acquired from the customer DB 6 by using the face image of the customer 3 in the second image. Not only facial images but also information such as age, gender, and physical characteristics may be used to identify customer information. Although only one customer 3 is shown here, if the customer 3 is accounting for a plurality of people, the customer information of step S204 is naturally specified in parallel.

The purchase information acquisition module 120 of the customer purchase analysis system 1 acquires the purchase information of the customer 2 acquired by the settlement processing device 5 and the identification code assigned to the shopping cart 3 carried by the customer 2 (step S205). .. This may be done at the time of checkout at the checkout processing device 5 (register). The purchase information shall include information such as the type, color, size, quantity, price, discount rate, etc. of the purchased product.

Next, the customer purchase analysis information generation module 130 of the customer purchase analysis system 1 uses the identification code as a key to obtain the customer behavior in step S202, the customer information specified in step S204, and the purchase information acquired in step S205. To generate customer purchase analysis information (step S206). The customer purchase analysis information in the first embodiment includes attribute information based on customer information, purchase behavior based on customer behavior, and purchase information. The attribute information indicates the customer's attributes such as age, gender, and physical characteristics (height, weight, shoe size, etc.), and includes information that can be used for marketing. Purchasing behavior shall include behavioral trajectory, staying time, etc.

Next, the customer purchase analysis information distribution module 140 of the customer purchase analysis system 1 confirms whether or not to distribute the customer purchase analysis information (step S207), and if the customer purchase analysis information is distributed, the customer purchase analysis information is distributed (step). S208), it ends when the delivery is not performed. Here, the customer purchase analysis information may be distributed electronically by e-mail or the like, or a paper-based document may be sent. The delivery destination is assumed to be a user who wants to use customer purchase analysis information such as a manufacturer or a retail store. There may be a plurality of delivery destinations at the same time. The date and time for confirming whether or not to deliver step S207 may be set, and may be set according to the delivery destination such as daily, weekly, or monthly time.

As described above, according to the first embodiment of the present invention, the customer can grasp the purchasing behavior of the customer for each attribute by specifying the customer information (customer individual) with the identification code carried by the customer 2. It becomes possible to provide a purchase analysis system, a customer purchase analysis method, and a program.

[Customer purchase analysis processing for each attribute]
Next, as a second embodiment, a purchasing customer analysis process performed by specifying the attributes of the customer without specifying the individual customer will be described. As a premise of the first embodiment, the main differences between FIGS. 1 and 3 will be described with reference to the flowchart of FIG. The difference from the first embodiment is that the customer DB 6 is not required.

In the first embodiment (FIG. 1), the individual customer is specified, whereas in the second embodiment (FIG. 3), the customer attribute is specified and the customer purchase analysis process is performed.

In the second embodiment, in step S204, the customer identification module 110 receives the second image taken in step S203 and analyzes the second image to estimate and identify the customer information of the customer 2. The code is acquired and the customer information is specified (step S204). The customer information in the second embodiment is assumed to be a customer attribute. The customer attribute indicates the customer attribute such as age, gender, physical characteristics (height, weight, shoe size, etc.), and includes information that can be used for marketing.

Since the customer attribute has already been specified in step S204, in step S206, the specified customer information (customer attribute) and the purchase information acquired in step S205 are aggregated to generate customer purchase analysis information. The customer purchase analysis information in the second embodiment includes attribute information, purchase behavior based on customer behavior, and purchase information.

As described above, according to the second embodiment of the present invention, the customer purchase analysis capable of specifying the customer information (customer attribute) by the identification code carried by the customer 2 and grasping the purchase behavior of the customer for each attribute. It will be possible to provide systems, customer purchase analysis methods, and programs.

[Customer purchase analysis processing that identifies attributes by posture]
Next, as a third embodiment, a purchasing customer analysis process for specifying customer attributes using the customer's posture will be described. As a premise of the second embodiment, the main differences between FIGS. 3 and 4 will be described with reference to the flowchart of FIG.

In the second embodiment (FIG. 3), the face image is used, whereas in the third embodiment (FIG. 4), the posture image is used to specify the customer attribute and perform the customer purchase analysis process. ..

In the third embodiment, in step S203, the photographing device 4B acquires a second image including the posture image of the customer 2 and the identification code at the time of checkout at the cash register. The second image in the third embodiment may be a still image or a moving image, and includes an identification code assigned to the shopping cart 3 possessed by the customer 2 and the posture of the customer 2 for image analysis. It is assumed that the resolution is sufficient. The second image may be taken according to the instruction of the customer identification module 110 of the customer purchase analysis system 1 or at the timing of accounting.

Next, in step S204, the customer identification module 110 receives the second image taken in step S203, analyzes the second image, estimates the customer information from the attitude of the customer 2, and obtains the identification code. Acquire and specify the customer information (step S204). The customer information in the third embodiment shall be a customer attribute. The customer attribute indicates the customer attribute such as age, gender, physical characteristics (height, weight, shoe size, etc.), and includes information that can be used for marketing.

As described above, according to the third embodiment of the present invention, the customer information (customer attribute) is specified by the attitude image of the customer 2 and the identification code carried by the customer 2, and each attribute is considered while considering the privacy of the customer 2. It becomes possible to provide a customer purchase analysis system, a customer purchase analysis method, and a program capable of grasping the purchase behavior of the customer.

[Customer purchase analysis process to specify group composition]
Next, as a fourth embodiment, a purchasing customer analysis process for specifying a group structure of customers will be described. As a premise of the second embodiment, the main differences between FIGS. 3 and 5 will be described with reference to the flowchart of FIG.

In the second embodiment (FIG. 3), only the face image is used, whereas in the fourth embodiment (FIG. 5), the image around the customer is used in addition to the face image to specify the group composition. Perform customer purchase analysis processing.

In the third embodiment, in step S203, the photographing device 4B photographs the second image including the peripheral image of the customer 2 together with the face image and the identification code of the customer 2 at the time of checkout at the cash register. The second image in the fourth embodiment may be a still image or a moving image, and may be an identification code assigned to the shopping cart 3 possessed by the customer 2, a face image of the customer 2, and a peripheral image of the customer 2. It is assumed that the resolution is sufficient for image analysis. The second image may be taken according to the instruction of the customer identification module 110 of the customer purchase analysis system 1 or at the timing of accounting.

Next, in step S204, the customer identification module 110 receives the second image taken in step S203, analyzes the second image, and estimates customer information from the face image and the peripheral image of the customer 2. In addition to acquiring the identification code and specifying the customer information, the number and attributes of the person accompanying the customer are estimated by analyzing the image including the customer, and the group composition is determined (step S204). .. The group composition in the fourth embodiment is information on what kind of group the customer 2 such as a family member, a couple, a friend, a person, etc. belongs to.

As described above, according to the fourth embodiment of the present invention, the customer information (customer attribute) and the group structure are specified by the face image and the peripheral image of the customer 2 and the identification code carried by the customer 2, and each customer attribute, It is possible to provide a customer purchase analysis system, a customer purchase analysis method, and a program that can grasp the purchase behavior of a customer in a more detailed classification such as for each group structure.

[Customer purchase analysis processing using RF tag ID]
Next, as a fifth embodiment, a customer purchase analysis process that uses an RF tag ID instead of an identification code will be described. As a premise of the second embodiment, the main differences between FIGS. 3 and 6 will be described with reference to the flowchart of FIG. 7. The difference between the second embodiment (FIG. 3) and the fifth embodiment (FIG. 6) is that the RF tag ID is used instead of the identification code.

The customer purchase analysis system 1 of the fifth embodiment will be described in the present embodiment as being realized by the computer 10, the photographing device 4B, the settlement processing device 5, and the RF tag reader 7, but the computer 10 is a cloud computer. As such, it may be realized by a plurality of computers. The photographing device 4B is an photographing device capable of photographing a customer's face, the whole body of the customer, the periphery of the customer, and the like with a resolution sufficient for image analysis, and it is assumed that the photographed image can be transmitted to the computer 10. The photographing device 4B shall be provided at a position where the face image of the customer 2 can be clearly photographed at the time of checkout at the cash register. In that case, the photographing apparatus 4B may be integrated with the settlement processing apparatus 5 (registration) for accounting. For example, when the settlement processing device is a tablet terminal incorporating a cash register application, the camera function of the tablet terminal may be the photographing device 4B. It is assumed that the RF tag reader 7 can detect at which position in the sales floor the RF tag is located by arranging a plurality of units at regular intervals.

In the fifth embodiment, in the customer purchase analysis system 1, the control unit reads a predetermined program and cooperates with the communication unit and the recording unit to acquire the customer behavior analysis module 100, the customer identification module 110, and the purchase information. A module 120, a customer purchase analysis information module 130, a customer purchase analysis information distribution module 140, an RF tag acquisition module 150, and a customer information generation module 160 are realized. When the customer purchase analysis information is not distributed, the customer purchase analysis information distribution module 140 can be omitted.

As a premise of the fifth embodiment, it is assumed that the sales floor (store) visited by the customer 2 to purchase the product is the place to be the target of the behavior analysis. Further, at the sales floor, the customer 2 possesses a shopping cart 3 to which an RF tag is attached for customer behavior analysis. The RF tag here may be an RF tag or other non-contact tag, and has information capable of specifying the position by reading by an RF tag reader 7 in which a plurality of units are arranged at regular intervals. It shall be.

The customer purchase analysis process will be described with reference to the flowchart of FIG. 7. The RF tag reader 7 acquires the position information of the RF tag ID in the sales floor which is the place where the behavior analysis target of the customer 2 is performed (step S701). It is not necessary to be particular about assigning the RF tag ID to the shopping cart 3, and it is sufficient if it can be specified that the customer 2 possesses it. The position information of the RF tag ID may be acquired by the instruction of the customer behavior analysis module 100 of the customer purchase analysis system 1, or may be performed at all times or at regular time intervals.

Next, the customer behavior analysis module 100 of the customer purchase analysis system 1 receives the location information acquired in step S701 and analyzes the customer behavior based on the location information (step S702). The customer behavior here is the behavior trajectory, staying time, etc. of the customer 2, and includes behaviors such as what kind of product was viewed in what order and for how long. In the flowchart of FIG. 7, steps S701 and S702 are described as being performed in order, but it is assumed that the processes may be performed in parallel at all times. Further, when there are a plurality of customers 3 in the sales floor, naturally, there are also a plurality of RF tags, so the customer behavior analysis in step S702 is performed for each of the RF tags.

Next, the photographing device 4B photographs an image including the face image of the customer 2 at the time of checkout at the cash register (step S203). At this time, the time information is acquired together with the shooting of the face image. This image may be a still image or a moving image, includes a face image of the customer 2, has a resolution sufficient for image analysis, and has time information taken together. .. The second image may be taken according to the instruction of the customer identification module 110 of the customer purchase analysis system 1 or at the timing of accounting.

Next, the customer identification module 110 of the customer purchase analysis system 1 receives the image taken in step S703 and the time information, and estimates the customer information of the customer 2 by image analysis of the image (step S704). The customer information in the second embodiment is assumed to be a customer attribute. The customer attribute indicates the customer attribute such as age, gender, physical characteristics (height, weight, shoe size, etc.), and includes information that can be used for marketing. Although only one customer 3 is shown here, when the customer 3 is accounting for a plurality of people, the customer information of step S704 is naturally specified in parallel.

The RF tag ID acquisition module 150 of the customer purchase analysis system 1 acquires an image including the customer acquired in step S703, an RF tag ID detected at the shooting location of the image, and the detected time (step S705).

The customer information generation module 160 of the customer purchase analysis system 1 uses the time information as a key based on the customer information and time information specified by the customer identification module 110 and the RF tag ID and time information acquired by the RF tag ID acquisition module 160. Then, the customer information and the RF tag ID are merged and aggregated to generate the customer information (step S706).

Next, the purchase information acquisition module 120 of the customer purchase analysis system 1 acquires the purchase information of the customer 2 acquired by the settlement processing device 5, the RF tag ID, or the settlement time (step S707). This may be done at the time of checkout at the checkout processing device 5 (register). The purchase information shall include information such as the type, color, size, quantity, price, discount rate, etc. of the purchased product.

The customer purchase analysis information generation module 130 of the customer purchase analysis system 1 uses the RF tag ID or the RF tag ID and the time as keys to obtain the customer behavior in step S702, the customer information acquired in step S706, and the step. The purchase information acquired in S707 is aggregated to generate customer purchase analysis information (step S708). The customer purchase analysis information in the fifth embodiment includes attribute information based on customer information, purchase behavior based on customer behavior, and purchase information. The attribute information indicates the customer's attributes such as age, gender, and physical characteristics (height, weight, shoe size, etc.), and includes information that can be used for marketing. Purchasing behavior shall include behavioral trajectory, staying time, etc.

Next, the customer purchase analysis information distribution module 140 of the customer purchase analysis system 1 confirms whether or not to distribute the customer purchase analysis information (step S709), and if so, distributes the customer purchase analysis information (step). S710), it ends when the delivery is not performed. Here, the customer purchase analysis information may be distributed electronically by e-mail or the like, or a paper-based document may be sent. The delivery destination is assumed to be a user who wants to use customer purchase analysis information such as a manufacturer or a retail store. There may be a plurality of delivery destinations at the same time. The date and time for confirming whether or not to deliver step S709 may be set, and may be set according to the delivery destination such as daily, weekly, or monthly time.

As described above, according to the fifth embodiment of the present invention, by specifying the customer information (customer attribute) with the RF tag carried by the customer 2, the customer can grasp the purchasing behavior of the customer for each attribute. It becomes possible to provide a purchase analysis system, a customer purchase analysis method, and a program.

The above-mentioned means and functions are realized by a computer (including a CPU, an information processing device, and various terminals) reading and executing a predetermined program. The program is provided, for example, in the form of being provided via a network from one or more computers (Cloud Service, SaaS: Software as a Service). The program is also provided, for example, in the form of being recorded on a computer-readable recording medium. In this case, the computer reads the program from the recording medium, transfers it to an internal recording device or an external recording device, records the program, and executes the program. Further, the program may be recorded in advance on a recording device (recording medium) such as a magnetic disk, an optical disk, or a magneto-optical disk, and the program may be provided from the recording device to a computer via a communication line.

Although the embodiments of the present invention have been described above, the present invention is not limited to these embodiments described above. Further, the effects described in the embodiments of the present invention merely list the most suitable effects arising from the present invention, and the effects according to the present invention are limited to those described in the embodiments of the present invention. is not it.

1 Customer purchase analysis system, 2 Customers, 3 Shopping basket, 4 Shooting device, 5 Settlement processing device, 6 Customer DB, 7 RF tag reader, 10 Computer, 100 Customer behavior analysis module, 110 Customer identification module, 120 Purchase information acquisition module , 130 Customer purchase analysis information generation module, 140 Customer purchase analysis information distribution module, 150 RF tag ID acquisition module, 160 Customer information generation module

Claims (5)

A customer behavior analysis method that analyzes customer behavior based on the detection position of the identification code for the first image taken at the location targeted for behavior analysis.
Customer information estimated by analysis of a second image including a customer, customer identification means for acquiring an identification code detected from the second image, and
The customer's purchase information acquired by the checkout processing device, the purchase information acquisition method for acquiring the identification code carried by the customer, and the purchase information acquisition method.
Customer purchase analysis that aggregates the customer behavior acquired by the customer behavior analysis means, the customer information acquired by the customer identification means, and the purchase information acquired by the purchase information acquisition means using the identification code as a key. Information generation means and
A customer purchase analysis information distribution means for distributing customer purchase analysis information generated by the customer purchase analysis information generation means, and a customer purchase analysis information distribution means.
Equipped with
The customer purchase analysis information delivery means, to set the date and time to perform the confirmation of whether or not to perform the delivery customer purchase analysis system. RF tag ID of the place to be behaviorally analyzed, customer behavior analysis means to analyze customer behavior based on the location information, and
Customer information estimated by analysis of images including customers, customer identification means for acquiring the time recorded in the image data, and
The RF tag ID detected at the shooting location of the image, the RF tag ID acquisition means for acquiring the detected time, and the RF tag ID acquisition means.
A customer information generation means that aggregates the customer information specified by the customer identification means and the RF tag ID acquired by the RF tag ID acquisition means using the time as a key.
The customer's purchase information acquired by the settlement processing device, the RF tag ID, or the purchase information acquisition means for acquiring the settlement time,
Using the RF tag ID or the RF tag ID and time as a key, the customer behavior acquired by the customer behavior analysis means, the customer information acquired by the customer information generation means, and the purchase information acquisition means. A customer purchase analysis information generation means that aggregates the acquired purchase information,
A customer purchase analysis information distribution means for distributing customer purchase analysis information generated by the customer purchase analysis information generation means, and a customer purchase analysis information distribution means.
Equipped with
The customer purchase analysis information delivery means, to set the date and time to perform the confirmation of whether or not to perform the delivery customer purchase analysis system. In the customer identification means, the number and attributes of the person accompanying the customer are estimated by analyzing the image including the customer, and the determined group composition is also acquired.
The customer purchase analysis system according to claim 1. A computer-run customer purchase analysis method
A step to analyze customer behavior based on the detection position of the identification code for the first image taken at the behavior analysis target location,
The step of acquiring the customer information estimated by the analysis of the second image including the customer and the identification code detected from the second image, and
The customer's purchase information acquired by the checkout processing device, the step to acquire the identification code carried by the customer, and
And the identification code to the key, and the customer behavior, and the customer information, comprising the steps of: by aggregating the purchase information to generate a customer purchase analysis information,
The step of distributing the generated customer purchase analysis information and
Equipped with
Step is to set the date and time to perform the confirmation of whether or not to perform the delivery customer purchase analysis method for the distribution. For a customer purchase analysis system run by a computer
A step to analyze customer behavior based on the detection position of the identification code for the first image taken at the behavior analysis target location,
A step of acquiring customer information estimated by analysis of a second image including a customer and an identification code detected from the second image.
The step of acquiring the customer's purchase information acquired by the checkout processing device and the identification code carried by the customer,
And the identification code to the key, and the customer behavior, and the customer information, the step of generating a customer purchase analysis information by aggregating the purchase information,
Steps to distribute the generated customer purchase analysis information,
To execute ,
Step, because of the program to set the date and time to perform the confirmation of whether or not to perform the delivery to the distribution.

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