JP5622629B2 - Information processing system and program - Google Patents

Description

  The present invention relates to a technique for transmitting information to a wireless communication device carried by a customer and providing the customer with the information.

As a technique related to the present invention, there is a technique described in Patent Document 1.
Patent Document 1 discloses a technique for storing information from a mobile terminal carried by a customer located at a sales floor such as a retail store in an information management server device and generating marketing information using the stored information.
More specifically, the mobile terminal receives product information by communicating with a product or a wireless tag attached to a display shelf, stores product information, position information, and time information, and stores the stored product information and position. Information and time information are transmitted to the information management server.
The information management server accumulates information from a large number of mobile terminals, extracts information according to conditions set by those who need marketing information, and generates marketing information used for analyzing customer trends from the extracted information .

JP 2008-226209 A

In the case of the technique disclosed in Patent Document 1, an incentive (discount, points) or the like for providing information from the customer must be given to the customer, and the cost of providing the incentive on the store side is generated.
Without incentives from the store side, customers have no merit of providing information to the store side.
That is, there is no merit of enabling the function for receiving product information from the wireless tag disclosed in Patent Document 1, the function for measuring the position, the function for transmitting information to the information management server device, and the like. .
For this reason, if there is no incentive, it does not necessarily enable these functions in the store.
Further, if the function of the mobile terminal is disabled during purchase, customer information cannot be collected.
Further, in Patent Document 1, although it is possible to collect customer flow line information, real-time one-to-one marketing using the collected flow line information is not assumed.

The present invention has been made in view of the circumstances as described above, and has as its main object to provide information useful to a customer and promote the provision of information from the customer.
The main purpose is to realize real-time one-to-one marketing using flow line information collected from customers.

An information processing system according to the present invention includes:
For each product, a presentation information storage unit that stores information presented to the customer as presentation information;
The location of the customer in the sales floor obtained by wireless communication between the wireless access point arranged in the sales space where the product is displayed and the wireless communication device carried by the customer in the sales floor located in the sales space A product notification information receiving unit for receiving product notification information for notifying products displayed on the wireless access point; and
A presentation information extraction unit that extracts presentation information corresponding to the product notified by the product notification information from the presentation information storage unit;
An extracted presentation information transmitting unit that transmits the extracted presentation information extracted by the presentation information extraction unit to the wireless access point, and transmits the extracted presentation information from the wireless access point to the wireless communication device of the customer in the sales floor. It is characterized by.

  ADVANTAGE OF THE INVENTION According to this invention, information useful to a customer called the information regarding the goods currently displayed at the customer's location can be provided.

FIG. 3 is a diagram illustrating an example of a system configuration according to the first embodiment. 1 is a diagram illustrating a configuration example of an information processing system according to Embodiment 1. FIG. FIG. 4 is a diagram showing an example of member flow line information according to the first embodiment. The figure which shows the example of the merchandise master information which concerns on Embodiment 1. FIG. The figure which shows the example of the excellent member information which concerns on Embodiment 1. FIG. FIG. 4 shows an example of purchase history information according to the first embodiment. FIG. 5 is a diagram showing an example of member information according to the first embodiment. FIG. 6 is a diagram showing an example of transmission result information according to the first embodiment. The figure which shows the example of the recommendation information according to flow line which concerns on Embodiment 1. FIG. The figure which shows the example of the recommendation information according to the transmission flow line which concerns on Embodiment 1. FIG. The figure which shows the example of the recommendation information which concerns on Embodiment 1. FIG. FIG. 6 is a diagram showing an example of transmission recommendation information according to the first embodiment. FIG. 3 is a flowchart showing an operation example of the mobile terminal device according to the first embodiment. FIG. 3 is a flowchart showing an operation example of the information processing system according to the first embodiment. FIG. 3 is a flowchart showing an operation example of the mobile terminal device according to the first embodiment. FIG. 3 is a flowchart showing an operation example of the information processing system according to the first embodiment. FIG. 3 is a flowchart showing an operation example of the information processing system according to the first embodiment. The figure which shows the example of the production | generation procedure of the recommendation information according to flow line which concerns on Embodiment 1. FIG. The figure which shows the example of the production | generation procedure of the recommendation information according to flow line which concerns on Embodiment 1. FIG. FIG. 4 is a diagram illustrating an example of a system configuration according to a second embodiment. FIG. 4 is a diagram illustrating a configuration example of an information processing system according to a second embodiment. The figure which shows the example of the merchandise position information which concerns on Embodiment 2. FIG. FIG. 9 is a flowchart showing an operation example of the information processing system according to the second embodiment. FIG. 10 illustrates a configuration example of an information processing system according to a third embodiment. The figure which shows the hardware structural example of the information processing system which concerns on Embodiment 1-3.

In the first to third embodiments, a real-time recommendation system that collects flow line information from a mobile terminal device (for example, a mobile phone) held by a member customer via a wireless access point and uses it for analysis will be described.
In the real-time recommendation system according to the first to third embodiments, the flow line recommendation information and the recommendation information derived from the flow line information, the search product information, the purchase history, the member attribute, and the like to the mobile terminal device of the in-store customer. Send.
According to the real-time recommendation system according to the first to third embodiments, it is possible for a service provider (store) to make a promotion to a customer who is close to the product or who is searching for the product and has a high willingness to purchase. Become.
At the same time, member customers can obtain promotional information that meets their needs.
In addition, service providers can provide promotional information as a motivation for customers to provide flow line information, and reduce costs compared to the case where point grants, discounts, etc. are used as conditions for providing flow line information. Can do.

In the first to third embodiments, the member customer is a customer who is registered as a member of the service provider (store).
For example, the service provider holds attribute information such as the name, address, gender, date of birth, etc. of the member customer as member information.
A member customer is uniquely identified by a member code.
In the first to third embodiments, the service provider distinguishes member customers with a large purchase amount as excellent members.
In the case of a member customer who has a unique application program (hereinafter referred to as a unique application) installed on the mobile terminal device, the flow information of the member customer collected by the unique application is stored in the information processing system on the service provider side. Is done.
The flow line information is information representing the flow line (trajectory of movement) at the sales floor of the member customer. The time and the position of the member customer at that time are shown, and the product that was in front of the member customer at that time is Indicated.

In the first to third embodiments, the recommendation information for each flow line is information reflecting the analysis result of the flow line information of a good member whose customer attribute is similar to the member customer in the sales floor.
For example, when there is a product A in front of a member customer in the sales floor, a good member stops by the display shelf of the product B after visiting the display shelf of the product A, and purchases both the product A and the product B. If there are many cases, the recommendation information classified by flow line which shows the goods B as a recommendation goods is transmitted to the member customer in a sales floor.
The recommendation information is, for example, information that presents recommended products derived from member customer attributes and purchase history.
The recommendation information includes contents such as advertisements, coupons, and discount information.

Embodiment 1 FIG.
FIG. 1 shows a system configuration example of a real-time recommendation system according to the first embodiment.

In FIG. 1, the information processing system 100 collects information about the member customer 300, extracts information to be presented to the member customer 300, and transmits the information to the mobile terminal device 400 carried by the member customer 300.
Details of the information processing system 100 will be described later.

  A large number of products are displayed in the retail store space 200, and a member customer 300 or a non-member customer performs shopping.

  As described above, the member customer 300 is a customer who is registered as a member on the service provider (store) side, and is uniquely identified by a member code.

The mobile terminal device 400 is a wireless communication device carried by the member customer 300.
The mobile terminal device 400 has a short-range wireless communication function such as Bluetooth (registered trademark), and also has a wireless LAN (Local Area Network) communication function.
The mobile terminal device 400 stores the member customer 300 and has a clock function.
Furthermore, a unique application is installed in the mobile terminal device 400.

The unique application has a function of measuring the current position of the mobile terminal device 400 through communication with a wireless access point 500 described later.
The unique application has a function of receiving a product code from an RFID reader 602 (to be described later) by short-range wireless communication at a predetermined reception cycle (for example, once per second).
In addition, the unique application uses a member code, time, position information, and product code (hereinafter collectively referred to as member position information) via the wireless access point 500 at a predetermined transmission cycle (for example, once per second). ) To the information processing system 100.
Further, the unique application has a function of receiving the recommendation for each flow line and the recommendation information transmitted from the information processing system 100 via the wireless access point 500 and displaying them on the display of the mobile terminal device 400.
Note that it is necessary to obtain consent for collecting flow line information when distributing a unique application to the member customer 300.

A plurality of wireless access points 500 are provided in the retail store floor space 200.
The wireless access point 500 performs wireless communication with the mobile terminal device 400 of the member customer 300.

A plurality of types of merchandise are displayed on the merchandise shelf 600, and a price card in which the price of the merchandise is presented is arranged in the vicinity of the various merchandise.
In the price card, a price card RFID (Radio Frequency IDentification) tag 601 is arranged.
In the price card RFID tag 601, product attribute information of a corresponding product is registered.
The price card RFID tag 601 wirelessly transmits a product code, which is at least product ID (Identification) information, among the product attribute information.
In the commodity shelf 600, an RFID reader 602 is disposed in the vicinity of the price card RFID tag 601.
The RFID reader 602 reads a product code from the price card RFID tag 601.
The RFID reader 602 transmits the product code read from the price card RFID tag 601 by short-range wireless communication.
When the member customer 300 passes in front of the RFID reader 602 or when the member customer 300 stops in front of the RFID reader 602, in other words, when the member customer 300 passes in front of the product or the member customer 300 When the mobile terminal device 400 is stopped in front of the product, the mobile terminal device 400 receives the product code of the product from the RFID reader 602 by short-range wireless communication.
Then, the mobile terminal device 400 transmits the member position information including the product code to the information processing system 100 via the wireless access point 500 in real time.
When the member customer 300 moves within the retail store space 200, the merchandise displayed in front of the member customer 300 changes. However, transmission of the merchandise code from the RFID reader 602 to the portable terminal device 400 and mobile By transmitting member position information from the terminal device 400 to the information processing system 100, the information processing system 100 can always grasp the product in front of the member customer 300.
As described above, the product code transmitted to the information processing system 100 is used as information for notifying the information processing system 100 of the product displayed at the location of the member customer 300 in the retail store space 200. It corresponds to an example of information.

  The router 700 relays the plurality of wireless access points 500 and the information processing system 100.

  Next, a configuration example of the information processing system 100 will be described with reference to FIG.

The communication unit 101 receives member location information (member code, time, location information, product code) transmitted from the mobile terminal device 400 of the member customer 300 in the sales floor via the wireless access point 500 and the router 700.
In addition, the communication unit 101 receives the recommendation information extracted for the member customer 300 in the sales floor and the recommendation information for each flow line via the router 700 and the wireless access point 500, and the mobile terminal device 400 of the member customer 300 in the sales floor. Send to.
The communication unit 101 corresponds to an example of a product notification information receiving unit and an extracted presentation information transmitting unit.

  The flow line analysis unit 102 receives member position information from the communication unit 101 and stores the member position information in the member flow line information DB 105 as member flow line information.

The recommendation information generation unit 103 for each flow line generates recommendation information for each flow line.
As described above, the recommendation information according to the flow line is a product purchased by the excellent member on the same day as the product (currently referred to as the product) in front of the member customer 300 in the sales floor at the present time. This is information that indicates a product (referred to as a subsequent purchase product) whose stop at the display position is after the stop of the current product at the display position as a recommended product.
The recommendation information generation unit 103 for each flow line analyzes the flow and purchase history of the excellent member, derives the subsequent purchase product of the good member for each member customer, and moves the product for each member customer. Generate line-specific recommendation information.
The generation timing of the recommendation information for each flow line may be either real time or batch processing. However, if there is no problem in performance, it is preferable to generate in real time.
In addition, the production | generation procedure of the recommendation information classified by flow line is mentioned later.
The flow line-specific recommendation information generation unit 103 is an example of a subsequent purchase product derivation unit.
In addition, since the production | generation of recommendation information can utilize what has already been utilized, description of the production | generation procedure of recommendation information is abbreviate | omitted in this Embodiment.

The recommendation information management unit 104 inputs member position information from the communication unit 101, and recommends the recommendation information and the recommendation information for each flow line corresponding to the member code and the product code included in the member position information. Extracted from the DB 111 and the recommendation information DB 112.
Since the recommendation information for each flow line is generated for each member and each product, the recommendation information management unit 104 determines the item of the member customer 300 in the sales floor based on the member code and the product code included in the member position information. It is possible to extract the recommendation information according to the flow line about the product in front of.
Since the recommendation information is generated for each member, the recommendation information management unit 104 extracts the recommendation information for the member customer 300 in the sales floor based on the member code included in the member position information. Can do.
In addition, the extraction procedure of the recommendation information according to flow lines and the recommendation information will be described later.
The recommendation information management unit 104 corresponds to an example of a presentation information extraction unit.

The member flow line information DB 105 stores member flow line information 1050.
The member flow line information 1050 is, for example, the information shown in FIG. 3 and includes a member code, a position, a time, and a product code included in the member position information transmitted from the mobile terminal device 400 of the member customer 300 in the sales floor. The
Each time the member location information is transmitted from the mobile terminal device 400 of the member customer 300 in the sales floor (for example, every second), a record of the member flow line information 1050 is added. Items in front of 300 are recorded sequentially.
As described above, the member flow line information 1050 indicates what route the member customer 300 has moved through the retail store space 200, and products along the movement route of the member customer 300 indicate the member customer 300. It is information shown in time series according to the movement trajectory, and corresponds to an example of movement route product information.

The product master information DB 106 stores product master information 1060.
The merchandise master information 1060 is, for example, information illustrated in FIG. 4 and includes a merchandise code, a promotion flag, and merchandise information.
The promotion flag is information for determining whether or not the product is a product that generates recommendation information for each flow line.
For each product corresponding to the product code described in the record for which the promotion flag is turned on, recommendation information for each flow line is generated by the recommendation information generation unit for each flow line 103.
When the number of products handled at the store is small, the promotion flag may be turned on for all products.
The merchandise information includes information such as the merchandise name, merchandise characteristics, merchandise manufacturer and producer, and price.

The excellent member information DB 107 stores excellent member information 1070.
The excellent member information 1070 is, for example, information shown in FIG. 5 and includes a member code of an excellent member.
A service provider (store) arbitrarily determines which member customer is a good member.
The excellent member information 1070 is information for determining a specific type of customer (excellent member), and corresponds to an example of specific customer determination information.

The purchase history information DB 108 stores purchase history information 1080.
The purchase history information 1080 is, for example, information illustrated in FIG. 6 and includes a member code, a purchase time, and a purchase product code.
In the purchase history information 1080, it is managed when and which product is purchased for each member customer.

The member information DB 109 stores member information 1090.
The member information 1090 is information shown in FIG. 7, for example, and includes a member code and member attributes.
Member attributes are represented by gender and age group (for example, women in their 30s).

The transmission record information DB 110 stores transmission record information 1100.
The transmission result information 1100 is information for managing the recommendation information for each flow line and the transmission result of the recommendation information for each member customer.
The transmission record information 1100 is, for example, information illustrated in FIG. 8 and includes a member code, the number of transmissions, and the previous transmission time.
The number of transmissions indicates the number of times that the recommendation information and recommendation information for each flow line are transmitted on that day, and the previous transmission time indicates the time when the recommendation information for each flow line and the recommendation information are last transmitted.

The recommendation information DB 111 for each flow line stores the recommendation information 1110 for each flow line.
The recommendation information 1110 by flow line is, for example, information shown in FIG. 9 and includes a member code, a current product code, a recommended product code, a recommended product information address, and a priority order.
The current product code is a product code included in the member location information transmitted from the mobile terminal device 400 of the member customer 300 in the sales floor, and the product of the product (current product) in front of the member customer 300 in the sales floor at the current time. Code.
The recommended product code is a product code of a product introduced as a recommended product to the member customer 300 in the sales floor.
The recommended product is a product (subsequent purchase product) purchased by an excellent member having the same or similar member attribute as the member customer 300 in the sales floor by stopping at the product display position next to the product corresponding to the current product code.
The recommended product information address is a memory address in which product information of the recommended product (product information in the product master information 1060) is stored.
In FIG. 9, the recommended product information address is included in the recommendation information 1110 for each flow line, but instead of this, the product information itself of the recommended product may be included.
The priority order is a guide when selecting recommended products to be presented to the member customer 300 in the sales floor when there are many recommended products.
Usually, it is selected from recommended products with high priority and presented to the member customer 300.

The recommendation information management unit 104 extracts the recommendation information 1110 for each flow line extracted from the recommendation information DB 111 for each flow line. The recommendation information management unit 104 processes the recommendation information 1110 for each transmission flow line illustrated in FIG. 1111.
Then, the recommendation information 1111 for each transmission flow line is transmitted from the communication unit 101 toward the mobile terminal device 400 of the member customer 300 in the sales floor.
As shown in FIG. 10, the recommendation information for each transmission flow line 1111 includes a recommended product name and recommended product information.
The recommended product name is a product name included in the product information acquired from the recommended product information address of the recommendation information 1110 classified by flow line in FIG. 9.
The recommended product information is information (product characteristics, product manufacturer, producer, price, etc.) other than the product name in the product information acquired from the recommended product information address of the recommendation information 1110 by flow line in FIG.

The recommendation information DB 112 stores recommendation information 1120.
For example, as shown in FIG. 11, the recommendation information 1120 includes a member code, a recommended product code, a recommended product information address, and a PR information address.
The recommended product in the recommendation information 1120 is different from the recommendation information 1110 by flow line, and is a product derived from the attribute and purchase history of the member customer, not the product reflecting the flow line information of the excellent member.
The recommended product information address is a memory address in which product information of the recommended product (product information in the product master information 1060) is stored.
In FIG. 11, the recommended product information address is included in the recommendation information 1110 for each flow line, but instead of this, product information itself of the recommended product may be included.
The PR information address is a memory address where PR information is stored.
As the PR information, for example, coupons and time sale information can be considered.
Further, in the recommendation information 1120 in FIG. 11, the recommended product is associated with the product (current product) in front of the member customer 300 in the sales floor at the current time, as in the recommendation information 1110 by flow line in FIG. 9. However, as shown in FIG. 9, the recommended product may be defined in association with the current product.

The recommendation information 1120 extracted from the recommendation information DB 112 by the recommendation information management unit 104 is processed by the recommendation information management unit 104 to become transmission recommendation information 1121 illustrated in FIG.
Then, the transmission recommendation information 1121 is transmitted from the communication unit 101 to the mobile terminal device 400 of the member customer 300 in the sales floor.
As shown in FIG. 12, the transmission recommendation information 1121 includes a recommended product name, recommended product information, and PR information.
The recommended product name is a product name included in the product information acquired from the recommended product information address of the recommendation information 1120 in FIG.
The recommended product information is information (product characteristics, product manufacturer or producer, price, etc.) other than the product name in the product information acquired from the recommended product information address of the recommendation information 1120 in FIG.
The PR information is information acquired from the PR information address of the recommendation information 1120 in FIG.

  2 may be arranged in one server apparatus (computer), or the elements shown in FIG. 2 may be distributed and arranged in a plurality of server apparatuses (computers).

  Next, an operation example of the real-time recommendation system according to the present embodiment will be described.

First, the overall flow of the operation will be described with reference to FIG. 1, FIG. 13, FIG. 14, and FIG.
FIG. 13 and FIG. 15 show an operation example of the mobile terminal device 400 carried by the member customer 300.
FIG. 14 shows an operation example of the information processing system 100.

First, in FIG. 13, a unique application is activated in the mobile terminal device 400, and the unique application receives a product code from the price card RFID tag 601 via the RFID reader 602 (S101). Then, it communicates with the wireless access point 500 to measure the current position of the mobile terminal device 400 (S102).
Measuring the current position through communication with the wireless access point 500 can be realized by existing technology.
Next, the mobile terminal device 400 transmits member location information (member code, time, location information, product code) to the wireless access point 500 using a unique application.
In the mobile terminal device 400, the above operations of S101 to S103 are repeated, for example, every second.
The member location information reaches the information processing system 100 via the wireless access point 500 and the router 700.

In the information processing system 100, as shown in FIG. 14, the communication unit 101 receives the member position information (S201), and the communication unit 101 outputs the member position information to the flow line analysis unit 102 and the recommendation information management unit 104. To do.
The flow line analysis unit 102 stores member position information in the member flow line information DB 105 as member flow line information 1050.
The recommendation information management unit 104 refers to the transmission record information 1100 in the transmission record information DB 110 and determines whether a transmission condition for the member customer 300 is satisfied (S202).
The transmission condition is, for example, that the upper limit (for example, 5 times) of the number of transmissions per day is not exceeded, that a predetermined time (for example, 5 minutes) has passed since the previous transmission time, and the like.
If the transmission condition is satisfied (YES in S202), the recommendation information management unit 104 transmits the recommendation information 1110 and the recommendation information 1120 by flow line to be presented to the member customer 300 to the recommendation information DB 111 by flow line and Extracted from the recommendation information DB 112 (S203).
And the recommendation information management part 104 produces | generates the recommendation information 1111 and transmission recommendation information 1121 classified by transmission flow line from the extracted recommendation information 1110 and recommendation information 1120 classified by flow line, and the communication part 101 transmits a transmission flow line. Separate recommendation information 1111 and transmission recommendation information 1121 are transmitted (S204).
The transmission flow-specific recommendation information 1111 and the transmission recommendation information 1121 reach the mobile terminal device 400 of the member customer 300 in the sales floor via the router 700 and the wireless access point 500.

As shown in FIG. 15, the mobile terminal device 400 receives the transmission flow-specific recommendation information 1111 and the transmission recommendation information 1121 by the unique application (S301).
Then, the received transmission flow line recommendation information 1111 and transmission recommendation information 1121 are displayed on the display (S302).
At this time, the mobile terminal device 400 may notify the member customer 300 of information reception by a received sound or vibration.

Next, details of a transmission procedure of the transmission flow line-specific recommendation information 1111 and the transmission recommendation information 1121 in the information processing system 100 will be described.
FIG. 16 is a flowchart illustrating an example of a transmission procedure of the transmission flow line-specific recommendation information 1111 and the transmission recommendation information 1121.

When the communication unit 101 receives the member position information (S401), the communication unit 101 outputs the member position information to the flow line analysis unit 102 and the recommendation information management unit 104 as described above.
The recommendation information management unit 104 determines whether it is received for the first time from the mobile terminal device 400 that is the transmission source of the member position information (S402).
More specifically, the recommendation information management unit 104 extracts the member code from the member position information, refers to the transmission result information 1100, and if the member code is not included in the transmission result information 1100, the first reception is performed. Judge.

If it is the first reception (YES in S402), the recommendation information management unit 104 creates a record of the member code included in the received member position information in the transmission record information 1100.
That is, the member code is described in the member code column, the reception time of the member position information is described in the previous transmission time column, and a record with the transmission count “0” is generated.
Here, an example will be described in which the transmission flow line-specific recommendation information 1111 and the like are not transmitted when the member position information is received for the first time.
However, the product code included in the received member position information may be subjected to the processing from S406 onward, and the transmission flow line-specific recommendation information 1111 and the like may be transmitted at the first reception.

If it is not the first reception in the determination of S402 (NO in S402), the recommendation information management unit 104 refers to the number of transmissions of the transmission record information 1100 and the previous transmission time based on the member code, and the transmission condition is satisfied. It is determined whether or not (S404).
The transmission condition is satisfied when the number of transmissions does not exceed a preset threshold and the time interval from the previous transmission time to the current time is greater than or equal to a preset threshold.

When the transmission condition is satisfied (YES in S405), the recommendation information management unit 104 extracts the recommendation information 1110 for each flow line corresponding to the member code and the product code included in the member position information ( S406).
Specifically, in the recommendation information for each flow line 1110, the member code record that matches the member code included in the member location information, and the product code included in the member location information is the current product code. To extract the records contained as.
When there are a large number of corresponding records, a record with a high priority is extracted within the range of the upper limit number of recommended products presented to the member customer 300.

Next, the recommendation information management unit 104 extracts recommendation information 1120 corresponding to the member code included in the member position information (S407).
Specifically, a member code record that matches the member code included in the member position information is extracted from the recommendation information 1120.

Next, the recommendation information management part 104 produces | generates the recommendation information 1111 by transmission flow line, and the transmission recommendation information 1121 from the extracted recommendation information 1110 by flow line and recommendation information 1120 (S408).
The generation procedure of the transmission flow line recommendation information 1111 and the transmission recommendation information 1121 is as described in the description of FIG. 10 and the description of FIG.

  Next, the communication unit 101 adds header information such as a transmission source address and a destination address to the transmission flow line recommendation information 1111 and the transmission recommendation information 1121, so that the transmission flow line recommendation information 1111 and the transmission recommendation are added. Information 1121 is transmitted (S409).

As described above, according to the present embodiment, the member customer 300 can obtain the recommendation information, recommendation information, and PR information for each flow line.
In addition, the service provider can execute a promotion on the premise of one-to-one marketing that matches the member attribute to the member customer 300 who is likely to purchase in the vicinity of the product.
Moreover, the merit of information reception becomes a motivation for the member to activate the wireless function, and at the same time, the risk of the member disabling the wireless function during the purchase can be reduced.
In addition, by presenting the purchase product (subsequent purchase product) of the excellent member to the member customer 300, the purchase tendency of the member customer 300 can be brought close to the excellent member.

Next, a procedure for generating the recommendation information 1100 for each flow line by the recommendation information generation unit 103 for each flow line will be described with reference to FIGS. 17, 18, and 19.
FIG. 17 is a flowchart showing a procedure for generating the recommendation 1100 for each flow line, and FIGS. 18 and 19 are diagrams for explaining the procedure for generating the recommendation information 1100 for each flow line while showing the cooperation between the information.
In FIG. 18 and FIG. 19, solid arrows indicate the process of information change, and broken arrows indicate information reference.
In addition, although there exist real-time and batch processing as a generation timing of the recommendation information classified by flow line, here, the production | generation procedure in batch processing is demonstrated.

  First, the recommendation information generating unit for each flow line 103 extracts a record of a good member from the member flow line information 1050 based on the good member information 1070, and generates good member flow line information 2001 (S501).

That is, as shown in FIG. 18, the recommendation information generating unit for each flow line 103 extracts a record including the same member code as the good member code included in the good member information 1070 from the member flow line information 1050. To do.
Also, since the location information is not always necessary here, the location information is deleted, and as shown in FIG. 18, the excellent member flow line information 2001 including the excellent member code, the time, and the product code is generated. .

  Next, the recommendation information generating unit 103 for each flow line analyzes the context of the product code using the excellent member flow line information 2001 and the purchase history information 1080, and generates excellent member purchase product flow line information 2002 ( S502).

More specifically, for each record of the excellent member flow line information 2001, the recommendation information generating unit by flow line 103 generates a member code record that matches the member code of the good member flow line information 2001 in the purchase history information 1080. Extract.
Next, a record in which the purchase time is after the time of the excellent member flow line information 2001 and the purchased product code matches the product code of the good member flow line information 2001 is extracted from the extracted records of the purchase history information 1080. .
When the records of the purchase history information 1080 extracted in this way are arranged in time series in the order of the time of the excellent member flow line information 2001, the order in which the excellent member has stopped on the product shelf is obtained for the purchased products purchased by the excellent member. It is done.
For example, when a plurality of products are purchased at the cashier after a plurality of products are put in a cart as in a supermarket, the purchase time of the plurality of products is the same time. It is possible to extract the order of stopping at the product shelf in order to purchase the product.
Then, the recommendation information generating unit 103 by flow line identifies, for each purchase product of the excellent member, the purchase product that the good member has stopped at the product shelf next to the purchase product, and the good member purchase product illustrated in FIG. The flow line information 2002 is generated.

In the excellent member flow line information 2001, for example, a certain “excellent member X” stops by the product shelf of the product “coffee bean A” at “17:05:00” and the product “ Stopping at the product shelf of “Coffee Milk B”, and “17:08:10” shows that the product has dropped by the product shelf of the product “Coffee Paper Filter C” (in the excellent member flow line information 2001, Other products that were in front of the excellent member X during the movement are also shown with the time), "Coffee Bean A" and "Coffee Milk B" at "17:12:30" in the purchase history information 1080 And “coffee paper filter C” are shown to be purchased.
In this case, the excellent member purchased product flow line information 2002 includes [member code of “excellent member X”, current product code: product code of “coffee bean A”, next product code: “milk for coffee B”. Record of [Product code] and record of [Membership code of “excellent member X”, current product code: product code of “coffee milk B”, next product code: product code of “paper filter C for coffee”] Will be.

  Next, the recommendation information generating unit 103 for each flow line replaces the good member code of the good member purchase product flow line information 2002 with the member attribute, and groups the records with the common member attribute (S503).

More specifically, the recommendation information generating unit for each flow line 103 searches the member information 1090 for a member code record that matches the good member code of the good member purchase product flow line information 2002, and describes it in the corresponding record. The good member code of the good member purchase merchandise flow line information 2002 is rewritten with the registered member attribute.
Furthermore, the recommendation information generating unit 103 for each flow line groups the records of the excellent member purchase product flow line information 2002 by the member attribute.

Next, the recommendation information generating unit for each flow line 103 extracts a record including a product code having a promotion flag for each member attribute in the excellent member purchase product flow line information 2002 after the process of S503 ( S504).
Further, the recommendation information generating unit by flow line 103 groups the records in which the pair of the current product code and the next product code is common among the extracted records, and counts the number of records (S504).

More specifically, the recommendation information generating unit by flow line 103 extracts a record of the product master information 1060 in which the promotion flag is turned on.
Further, the recommendation information generating unit 103 for each flow line converts the record in which the product code described in the extracted record is described in the column of the next product code into the excellent member purchase product flow information after the processing of S503. Extract in 2002.
This extraction process is performed in units of records grouped by common member attributes.
Thereby, it is possible to extract a record in which the product code of the product to be promoted is described in the column of the next product code for each member attribute.
Next, the recommendation information generating unit for each flow line 103 groups the records in which the pair of the current product code and the next product code is common among the extracted records, and records the number of records for each pair of the current product code and the next product code. Count.

For example, in the above example, the promotion flag is turned on for “coffee milk B” in the product master information 1060, but “coffee beans A” and “coffee paper filter C” are not turned on. Are extracted as [current product code: product code of “coffee beans A”, next product code: product code of “coffee milk B”].
In the above description, it is decided to extract only records in which the product code for which the promotion flag is on is described in the column of the next product code, but the product code for which the promotion flag is on is currently displayed. Records described in the product code field may be extracted.
In this case, a record of [current product code: product code of “coffee milk B”, next product code: product code of “coffee paper filter C”] is also extracted.

  Next, the recommendation information generating unit 103 for each flow line arranges records by member attribute unit and product code pair unit in the excellent member purchase product flow line information 2002 after the processing of S504, and recommends product information, number of items Is added to generate purchase merchandise flow line information 2003 for each excellent member attribute (S505).

That is, the recommendation information generating unit by flow line 103 sorts out the excellent member purchase product flow line information 2002 so as to be one row of records for each pair of product codes in member attribute units.
Further, as shown in FIG. 19, the recommendation information generation unit 103 according to the flow line adds the address of the product information of the product of the recommended product code (next product code) to each record, and is counted by S504. Add the number of records for each pair as the number of records.
Thereby, the purchase member flow line information 2003 by excellent member attribute illustrated in FIG. 19 is generated.

  Next, the recommendation information generating unit for each flow line 103 expands the purchase product flow line information for each excellent member attribute 2003 to the member code unit with the matching member attribute, and generates the recommendation information for each flow line 1110 (S506). .

More specifically, the recommendation information generating unit by flow line 103 extracts the member code of the same member attribute from the member information 1090 for each member attribute of the purchase product flow line information 2003 by excellent member attribute, and the extracted member Generate a record for each code.
For example, if there are 100 members corresponding to the member attribute “30's female”, the same “current product code”, “recommended product code”, “ Records of “recommended product information address” and “priority order” are generated.
The “priority order” has a higher priority order for a pair of “current product code” and “recommended product code” having a larger “number of items” in the purchase product flow line information 2003 by excellent member attribute.

In order to generate the recommendation information for each flow line by the above procedure and present the recommendation information for each flow line to the member customer 300, the member customer 300 can be guided to the same flow line as a good member with similar preferences. Therefore, it can be expected to promote the same purchase as a good member.
In the example of “Coffee Bean A”, “Coffee Milk B”, and “Coffee Paper Filter C” described above, when the member customer 300 is in front of “Coffee Bean A”, “Coffee Milk B” Is sent as recommended product information according to the transmission flow line.
As a result, it is possible to urge the member customer 300 to be interested in “milk for coffee B” and to promote purchasing behavior similar to that of a good member.

In this embodiment, the example of generating the recommendation information 1111 for each transmission flow line using the recommendation information 1110 for each flow line has been shown. You may do it.
In this case, the operation of the recommendation information management unit 104 is as follows.
The recommendation information management unit 104 collates the member code included in the member position information from the mobile terminal device 400 with the member information 1090 to determine the member attribute of the member customer 300 that is the transmission source.
Then, the recommendation information management unit 104 extracts a target record from the purchase member flow line information 2003 for each excellent member attribute based on the determined member attribute and the product code of the member position information.
Then, the recommendation information management part 104 produces | generates the recommendation information 1111 classified by transmission flow line from the extracted record.

Further, in the present embodiment, an example has been described in which an excellent member presents a product (subsequent purchase product) purchased by visiting the product shelf next to the current product as a recommended product. A product purchased on the same day as the current product (a product purchased on the same day) may be presented as a recommended product.
In the example of “Coffee Bean A”, “Coffee Milk B”, and “Coffee Paper Filter C” described above, when the member customer 300 is in front of “Coffee Bean A”, “Coffee Milk B” And the recommendation information 1111 classified by transmission flow line in which “paper filter C for coffee” is presented as a recommended product is transmitted.

Embodiment 2. FIG.
In the present embodiment, an example in which the information processing system 100 transmits the transmission flow line-specific recommendation information 1111 and the transmission recommendation information 1121 in response to a product position search request from the member customer 300 will be described.

  FIG. 20 shows a system configuration example of the real-time recommendation system according to the second embodiment.

20, elements with the same reference numerals as those in FIG. 1 are the same as those in FIG.
20 is the same as FIG. 1 except that the information transmitted from the mobile terminal device 400 is a product location search request and product location notification information is added to the information transmitted from the wireless access point 500. is there.

The product position search request is information that requests the information processing system 100 to search and present the display position of the product.
The product position notification information is information for notifying the display position of the product searched by the information processing system 100.

  FIG. 21 shows a configuration example of the information processing system 100 according to the present embodiment.

In FIG. 21, the elements having the same reference numerals as those in FIG. 2 are the same as those in FIG.
21 is the same as FIG. 2 except that a product position search unit 113 and a product position information DB 114 are added.

The product position search unit 113 refers to the product position information stored in the product position information DB 114, searches the display position of the product requested by the product position search request, and notifies the display position of the searched display Generate information.
In addition, the product position search unit 113 sets the generated product position notification information, the member code of the member customer 300 that is the transmission source of the product position search request, and the product code of the product that is the search target to the recommendation information management unit 104. To pass.

The product position information DB 114 stores, for example, product position information 1140 shown in FIG.
The product position information 1140 includes a product code, a product position, a product name, and a manufacturer or a producer.
In addition to the elements shown in FIG. 22, the product position information 1140 may include abbreviations and nicknames of product names, and the product names may be written using regular expressions.
Note that the merchandise position information 1140 may be generated using a merchandise code read from the price card RFID tag 601 by the RFID reader 602, or may be generated by another method.

In the present embodiment, the recommendation information management unit 104 inputs the merchandise position notification information, the member code, and the merchandise code from the merchandise position search unit 113, and transmits the member code and the transmission code corresponding to the input merchandise code. Recommendation information 1111 and transmission recommendation information 1121 are generated.
In addition, the communication unit 101 transmits product position notification information to the mobile terminal device 400 together with the transmission flow line-specific recommendation information 1111 and the recommendation information 1121.
In the present embodiment, the communication unit 101 is also an example of a product position search request receiving unit.

  Next, an operation example of the information processing system 100 according to the present embodiment will be described with reference to the flowchart of FIG.

First, the communication unit 101 receives a product position search request transmitted from the mobile terminal device 400 of the member customer 300 in the sales floor (S601).
It is assumed that the product location search request includes the product name to be searched and the member code of the member customer 300.
The communication unit 101 passes the received product position search request to the product position search unit 113.

  Next, the product position search unit 113 that has acquired the product position search request searches the product position information DB 114, determines the product position of the search target product, and generates product position notification information indicating the product position (S602). .

  Next, the product position search unit 113 outputs the generated product position notification information, the member code included in the product position search request, and the product code of the search target product to the recommendation information management unit 104 (S603). .

Next, the recommendation information management unit 104 extracts the recommendation information 1110 for each flow line corresponding to the member code and the product code input from the product position search unit 113 (S604).
In this Embodiment, the record in which the product code input from the product position search part 113 is shown as present product code among the recommendation information 1110 classified by flow line is extracted.
Except for this point, the procedure for extracting the recommendation information 1110 by flow line is the same as that shown in the first embodiment.

Next, the recommendation information management unit 104 extracts the recommendation information 1120 corresponding to the member code input from the product position search unit 113 (S605).
The procedure for extracting the recommendation information 1120 is the same as that shown in the first embodiment.

Next, the recommendation information management part 104 produces | generates the recommendation information 1111 by transmission flow line, and the transmission recommendation information 1121 (S606).
The procedure for generating the transmission flow-specific recommendation information 1111 and the transmission recommendation information 1121 is the same as that shown in the first embodiment.

  The recommendation information management unit 104 outputs the generated transmission flow-specific recommendation information 1111 and the transmission recommendation information 1121 and the product position notification information input from the product position search unit 113 to the communication unit 101, and the communication unit 101 The transmission flow line-specific recommendation information 1111, transmission recommendation information 1121, and product position notification information are transmitted to the mobile terminal device 400 (S <b> 607).

  In the mobile terminal device 400, the product position notification information is displayed on the display, the display position of the search target product is notified to the member customer 300, and the transmission flow line-specific recommendation information 1111 and the transmission recommendation information 1121 are displayed on the display. To display.

Thus, in the present embodiment, the member customer 300 can obtain recommendation information and PR information about the searched product.
In addition, the service provider can execute a promotion on the premise of one-to-one marketing to a member who has a high possibility of purchasing after executing the search.
In addition, since the member customer 300 presents the purchased product (subsequent purchase product) purchased by the excellent member by stopping at the product shelf next to the product to be searched, it can be guided to the same flow line as the excellent member. It can be expected to encourage purchasing behavior similar to that of good members.

Embodiment 3 FIG.
In the present embodiment, a configuration for extracting a product group with low exposure to customers will be described.

  FIG. 24 shows a configuration example of the information processing system 100 according to the present embodiment.

24, elements having the same reference numerals as those in FIG. 21 are the same as those in FIG.
24 is the same as FIG. 21 except that a low-exposure product extraction unit 115 and a low-exposure product information DB 116 are added.

The low-exposure product extraction unit 115 uses the member flow line information 1050 and the product position information 1140 to extract a product that the member customer does not frequently visit the display position as a low-exposure product.
The low exposure product information DB 116 stores the product code of the low exposure product extracted by the low exposure product extraction unit 115 as the low exposure product information.

  The system configuration example of the real-time recommendation system according to the present embodiment is the same as that shown in FIGS.

  Next, an operation example of the information processing system 100 according to the present embodiment will be described.

In the present embodiment, the low-exposure product extraction unit 115 extracts a product code that exists in the product position information 1140 but does not exist in the member flow line information 1050, and extracts the product code of the extracted low-exposure product as a low-exposure product. Accumulate in the information DB 116.
The low-exposure product extraction unit 115 also extracts a product code that is present in the product position information 1140 but has a small number of items in the member flow line information 1050, and extracts the product code of the extracted low-exposure product as a low-exposure product information DB To accumulate.

And in the production | generation of the recommendation information 1110 classified by flow line by the recommendation information production | generation part 103 classified by flow line, a high priority is set about the low exposure goods accumulate | stored in low exposure product information DB116.
Thereby, the recommendation information 1110 classified by flow line can be transmitted preferentially about the product which has not touched the member customer's eyes, and the member customer's recognition to the low exposure product can be improved.
In addition, even when transmitting the transmission recommendation information 1111, when there are a plurality of recommended products, the low exposure products stored in the low exposure product information DB 116 are preferentially recommended to the member customers, so that the member customers' It can be expected to improve the recognition of products that have not been seen.

Finally, a hardware configuration example of the information processing system 100 shown in the first to third embodiments will be described.
FIG. 25 is a diagram illustrating an example of hardware resources of the information processing system 100 illustrated in the first to third embodiments.
The configuration in FIG. 25 is merely an example of the hardware configuration of the information processing system 100, and the hardware configuration of the information processing system 100 is not limited to the configuration illustrated in FIG. Also good.

In FIG. 25, the information processing system 100 includes a CPU 911 (also referred to as a central processing unit, a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, and a processor) that executes a program.
The CPU 911 is connected to, for example, a ROM (Read Only Memory) 913, a RAM (Random Access Memory) 914, a communication board 915, a display device 901, a keyboard 902, a mouse 903, and a magnetic disk device 920 via a bus 912. Control hardware devices.
Further, the CPU 911 may be connected to an FDD 904 (Flexible Disk Drive), a compact disk device 905 (CDD), a printer device 906, and a scanner device 907. Further, instead of the magnetic disk device 920, a storage device such as an SSD (Solid State Drive), an optical disk device, or a memory card (registered trademark) read / write device may be used.
The RAM 914 is an example of a volatile memory. The storage media of the ROM 913, the FDD 904, the CDD 905, and the magnetic disk device 920 are an example of a nonvolatile memory. These are examples of the storage device.
The “˜information DB” described in the first to third embodiments is realized by the RAM 914, the magnetic disk device 920, and the like.
A communication board 915, a keyboard 902, a mouse 903, a scanner device 907, an FDD 904, and the like are examples of input devices.
The communication board 915, the display device 901, the printer device 906, and the like are examples of output devices.

As shown in FIG. 1, the communication board 915 is connected to a network.
For example, the communication board 915 may be connected to a WAN (wide area network), the Internet, a SAN (storage area network), etc. in addition to a LAN (local area network).

The magnetic disk device 920 stores an operating system 921 (OS), a window system 922, a program group 923, and a file group 924.
The programs in the program group 923 are executed by the CPU 911 using the operating system 921 and the window system 922.

The RAM 914 temporarily stores at least part of the operating system 921 program and application programs to be executed by the CPU 911.
The RAM 914 stores various data necessary for processing by the CPU 911.

The ROM 913 stores a BIOS (Basic Input Output System) program, and the magnetic disk device 920 stores a boot program.
When the information processing system 100 is started, the BIOS program in the ROM 913 and the boot program for the magnetic disk device 920 are executed, and the operating system 921 is started by the BIOS program and the boot program.

  The program group 923 stores a program for executing the function described as “˜unit” in the description of the first to third embodiments. The program is read and executed by the CPU 911.

In the file group 924, in the description of the first to third embodiments, “to determination”, “to determination”, “to calculation”, “to extraction”, “to collation”, and “to setting” ”,“ Selection of ”,“ input of ”,“ output of ”, etc., information, data, signal values, variable values, and parameters indicating the results of the processing are represented by“ ˜file ”or“ ˜ It is stored as each item of “Database”.
The “˜file” and “˜database” are stored in a recording medium such as a disk or a memory.
Information, data, signal values, variable values, and parameters stored in a storage medium such as a disk or memory are read out to the main memory or cache memory by the CPU 911 via a read / write circuit.
The read information, data, signal value, variable value, and parameter are used for CPU operations such as extraction, search, reference, comparison, calculation, calculation, processing, editing, output, printing, and display.
Information, data, signal values, variable values, and parameters are stored in the main memory, registers, cache memory, and buffers during the CPU operations of extraction, search, reference, comparison, calculation, processing, editing, output, printing, and display. It is temporarily stored in a memory or the like.
In addition, the arrows in the flowcharts described in Embodiments 1 to 3 mainly indicate input and output of data and signals.
Data and signal values are recorded on a recording medium such as a memory of the RAM 914, a flexible disk of the FDD 904, a compact disk of the CDD 905, a magnetic disk of the magnetic disk device 920, other optical disks, a mini disk, and a DVD.
Data and signals are transmitted online via a bus 912, signal lines, cables, or other transmission media.

In addition, what is described as “˜unit” in the description of the first to third embodiments may be “˜circuit”, “˜device”, “˜device”, and “˜step”, It may be “˜procedure” or “˜processing”.
That is, the processing of the information processing system 100 can be regarded as a data processing method by the steps, procedures, and processes shown in the flowcharts described in the first to third embodiments.
Further, what is described as “˜unit” may be realized by firmware stored in the ROM 913.
Alternatively, it may be implemented only by software, or only by hardware such as elements, devices, substrates, and wirings, by a combination of software and hardware, or by a combination of firmware.
Firmware and software are stored as programs in a recording medium such as a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, and a DVD.
The program is read by the CPU 911 and executed by the CPU 911.
That is, the program causes the computer to function as “to part” in the first to third embodiments. Alternatively, the computer executes the procedure and method of “to part” in the first to third embodiments.

As described above, the information processing system 100 according to the first to third embodiments includes a CPU that is a processing device, a memory that is a storage device, a magnetic disk, a keyboard that is an input device, a mouse, a communication board, and a display device that is an output device and a communication device. A computer including a board or the like.
Then, as described above, the functions indicated as “˜units” are realized using these processing devices, storage devices, input devices, and output devices.

  DESCRIPTION OF SYMBOLS 100 Information processing system, 101 Communication part, 102 Flow line analysis part, 103 Recommendation information generation part according to flow line, 104 Recommendation information management part, 105 Member flow line information DB, 106 Goods master information DB, 107 Good member information DB , 108 Purchasing history information DB, 109 Member information DB, 110 Transmission record information DB, 111 Recommendation information DB by flow line, 112 Recommendation information DB, 113 Product position search unit, 114 Product position information DB, 115 Low exposure product extraction Department, 116 Low Exposure Product Information DB, 200 Retail Store Space, 300 Member Customer, 400 Mobile Terminal Device, 500 Wireless Access Point, 600 Product Shelf, 601 Price Card RFID Tag, 602 RFID Reader, 700 Router, 105 Membership flow information, 1,060 product master information, 070 excellent member information, 1080 purchase history information, 1,090 member information, 1100 transmission result information, 1110 recommendation information by flow line, 1111 recommendation information by transmission line, 1120 recommendation information 1121 Transmission recommendation information, 1140 Product position information.

Claims (8)

For each product, a product of a specific type purchased by the customer on the same day as the target product, and the visit to the display position by the specific type of customer is after the stop of the display of the target product A presentation information storage unit for storing presentation information in which a certain product is indicated as a subsequent purchase product ;
The location of the customer in the sales floor obtained by wireless communication between the wireless access point arranged in the sales space where the product is displayed and the wireless communication device carried by the customer in the sales floor located in the sales space A product notification information receiving unit for receiving product notification information for notifying products displayed on the wireless access point; and
A presentation information extraction unit that extracts the presentation information corresponding to the product notified by the product notification information and indicating the subsequent purchase product of the product from the presentation information storage unit;
An extracted presentation information transmitting unit that transmits the extracted presentation information extracted by the presentation information extraction unit to the wireless access point, and transmits the extracted presentation information from the wireless access point to the wireless communication device of the customer in the sales floor. An information processing system characterized by The information processing system further includes:
A product location search request receiving unit that receives a product location search request for requesting a search for a display location of a product transmitted from a wireless communication device carried by the customer in the sales floor to the wireless access point; and
A product position search unit that searches the display position of the product requested in the product position search request and generates product position notification information that notifies the searched display position;
The presentation information extraction unit
The presentation information corresponding to the product requested by the product position search request is extracted from the presentation information storage unit,
The extracted presentation information transmitting unit
The product location notification information generated by the product location search unit and the extracted presentation information extracted by the presentation information extraction unit are transmitted to the wireless access point, and the wireless communication device of the customer in the sales floor from the wireless access point the information processing system according to claim 1, characterized in that to transmit the extracted presentation information and product position notification information. The presentation information storage unit
For each product, memorize the presentation information that a specific type of customer shows the product purchased on the same day as the target product as the same-day purchase product,
The presentation information extraction unit
3. The information processing system according to claim 2 , wherein presentation information corresponding to the product requested by the product position search request and indicating the same-day purchase product of the product is extracted from the presentation information storage unit. The presentation information storage unit
For each product, a product of a specific type purchased by the customer on the same day as the target product, and the visit to the display position by the specific type of customer is after the stop of the display of the target product Remembers the presentation information that a product is shown as a subsequent purchase product,
The presentation information extraction unit
3. The information processing system according to claim 2 , wherein presentation information corresponding to the product requested by the product position search request is extracted from the presentation information storage unit and the subsequent purchase product of the product is indicated. The information processing system further includes:
For each customer, travel route product information in which the products along the travel route when the customer moved in the sales space is shown in time series according to the travel trajectory of the customer;
For each customer, purchase history information that shows the history of purchased products purchased by the customer,
Using a specific customer determination information for determining the specific type of customer, and for each product, a subsequent purchase product deriving unit for deriving a subsequent purchase product of the specific type of customer,
The presentation information storage unit
The information processing system according to claim 1 , wherein presentation information indicating a subsequent purchased product derived by the subsequent purchased product deriving unit is stored. The information processing system further includes:
For each customer, using the travel route product information that indicates the product along the travel route when the customer moved in the sales space,
The information processing system according to claim 1, further comprising a low-exposure product extraction unit configured to extract a product with a low frequency of customer visit to the display position as a low-exposure product. The product notification information receiving unit
Product ID (Identification) information, which is read by the wireless communication device of the customer in the sales floor from the wireless tag placed on the product or the display shelf of the product, and transmitted from the wireless communication device to the wireless access point, as a product notification information for notifying the commodities displayed in the location of the shop the customer, the information processing system according to claim 1, characterized in that receiving from the wireless access point. For each product, a product of a specific type purchased by the customer on the same day as the target product, and the visit to the display position by the specific type of customer is after the stop of the display of the target product In a computer having a presentation information storage unit for storing presentation information in which a certain product is shown as a subsequent purchase product ,
The location of the customer in the sales floor obtained by wireless communication between the wireless access point arranged in the sales space where the product is displayed and the wireless communication device carried by the customer in the sales floor located in the sales space Product notification information receiving processing for receiving product notification information for notifying products displayed on the wireless access point; and
In correspondence with the product notified by the product notification information, the presentation information extracting process for extracting the presentation information indicating the subsequent purchase product of the product from the presentation information storage unit,
The extracted presentation information extracted by the presentation information extraction process is transmitted to the wireless access point, and the extracted presentation information transmission process is performed to transmit the extracted presentation information from the wireless access point to the wireless communication device of the customer in the sales floor. A program characterized by that.

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