JP2021149469A - Information processor, information processing method, and information processing program - Google Patents

Abstract

To provide an information processor which assists making up of an appropriate shop, an information processing method, and an information processing program.SOLUTION: In an information process system, an information processor 100 acquires from a log server 200 a variety of log data, estimates information about a user on the basis of acquired information, creates a plan for adjusting an arrangement of articles in a facility located in a community on the basis of information related to an estimated user, creates a plan for adjusting an arrangement of personnel in the facility on the basis of the information on the user, and creates a plan for adjusting the arrangement of articles in the facility located in the community in accordance with a target person to be the user located in the surroundings of the facility located in the community on the basis of the information on the user.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Technology to update the order quantity in the order planning database using the sales opportunity loss score calculated based on the ratio of the number of products purchased at other stores other than the self-sales store, and POS (Point of sale: point of sale) Information management) A technology for forecasting product demand using sales information, weather information, and local event information acquired from the system is disclosed.

Japanese Unexamined Patent Publication No. 2011-134043 Japanese Unexamined Patent Publication No. 2009-265747

However, with the above-mentioned technology, it may not be possible to create an appropriate store in response to changes in the environment surrounding the store.

For example, the above-mentioned technology merely makes order plans and demand forecasts based on sales at other stores and own stores, weather information and local event information that are known in advance, and is located around the stores. It cannot be said that we are appropriately supporting the creation of stores according to the tendencies and needs of users.

The present application has been made in view of the above, and an object of the present application is to support the creation of a more appropriate store.

The information processing device according to the present application estimates information about the user based on an acquisition unit that acquires information indicating the behavior of the user on the network related to the area and the information acquired by the acquisition unit. It is characterized by including an estimation unit for information processing and a creation unit for creating a plan for adjusting the arrangement of articles in a facility located in the area based on the information about the user estimated by the estimation unit. do.

According to one aspect of the embodiment, it is possible to support the creation of a more appropriate store.

FIG. 1 is an explanatory diagram showing an outline of an information processing method according to an embodiment. FIG. 2 is a diagram showing an example of layout evaluation according to the embodiment. FIG. 3 is a diagram showing a configuration example of the information processing system according to the embodiment. FIG. 4 is a diagram showing a configuration example of the terminal device according to the embodiment. FIG. 5 is a diagram showing a configuration example of the information processing device according to the embodiment. FIG. 6 is a diagram showing an example of a user information database according to the embodiment. FIG. 7 is a diagram showing an example of a history information database according to the embodiment. FIG. 8 is a diagram showing an example of an arrangement information database according to the embodiment. FIG. 9 is a diagram showing an example of the behavior information database according to the embodiment. FIG. 10 is a diagram showing an example of a collected information database according to the embodiment. FIG. 11 is a diagram showing an example of the evaluation information database according to the embodiment. FIG. 12 is a flowchart showing a processing procedure according to the embodiment. FIG. 13 is a diagram showing an example of a hardware configuration.

Hereinafter, the information processing apparatus according to the present application, the information processing method, and a mode for carrying out the information processing program (hereinafter, referred to as “the embodiment”) will be described in detail with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited by this embodiment. Further, in the following embodiments, the same parts are designated by the same reference numerals, and duplicate description is omitted.

[1. Information processing method overview]
First, with reference to FIG. 1, an outline of an information processing method performed by the information processing apparatus according to the embodiment will be described. FIG. 1 is an explanatory diagram showing an outline of an information processing method according to an embodiment. In addition, in FIG. 1, the case where the information processing apparatus 100 supports the creation of an appropriate store in response to changes in the environment around the store will be described as an example.

As shown in FIG. 1, the information processing system 1 includes a terminal device 10, an information processing device 100, a log server 200, and a store device 300. The terminal device 10, the information processing device 100, the log server 200, and the store device 300 are connected to each other via a network N (see FIG. 3) so as to be able to communicate with each other by wire or wirelessly. The information processing system 1 shown in FIG. 1 may include an arbitrary number of terminal devices 10, an arbitrary number of information processing devices 100, an arbitrary number of log servers 200, and a store device 300. ..

The terminal device 10 is a smart device such as a smartphone or tablet used by a user, and can communicate with an arbitrary server device via a wireless communication network such as 4G (Generation) or LTE (Long Term Evolution). It is a portable terminal device that can be used. Further, the terminal device 10 is a screen of a liquid crystal display or the like and has a screen having a touch panel function. Accepts various operations. The operation performed on the area of the screen on which the content is displayed may be an operation on the content. Further, the terminal device 10 may be not only a smart device but also an information processing device such as a desktop PC (Personal Computer) or a notebook PC.

Here, the user specified by the user ID "U" is referred to as "user U". That is, when "user U * (* is an arbitrary numerical value)" is described, it means that the user is a user specified by the user ID "U *". For example, when "user U1" is described, the user is a user specified by the user ID "U1".

The log server 200 is an information processing device that acquires various log data, and is realized by a server device, a cloud system, or the like. Specifically, the log server 200 acquires log data indicating the behavior of the user having a relationship with each area (area). More specifically, the log server 200 acquires log data indicating the behavior of users located in each area.

The information processing device 100 is an information processing device that acquires various log data from the log server 200 and supports the creation of an appropriate store in response to changes in the surrounding environment of the store in the retail industry, service industry, etc., and is a server device. It is realized by the cloud system and so on.

The store device 300 is an information processing device used by a business operator operating a store, a store manager, an employee, or the like. Similar to the terminal device 10, the store device 300 may be a smart device such as a smartphone or tablet, or an information processing device such as a desktop PC or notebook PC. Further, the store device 300 may be an information processing device realized by a server device, a cloud system, or the like, similarly to the information processing device 100 and the log server 200.

The stores are, for example, convenience stores, supermarkets, drug stores, home centers, discount stores, 100-yen shops, mass retailers, specialty stores, bookstores, bakeries, and the like. Alternatively, the store may be a restaurant such as a cafe or a restaurant. The store may be, for example, a tenant in a large commercial facility (shopping center / outlet mall / underground mall). Further, the store may be a facility similar to a store, or may be a sales office or a temporary store temporarily set up in the facility or outdoors. For example, it may be a stall, a stall, a flea market, or the like. Further, the store may be a mobile store (mobile store) using a small truck or the like. In addition, the products handled in the store are not limited to the products for sale, but may be rental products, travel products, financial products, information on various services, application forms, and the like. Further, the product is not limited to a paid product, and may be a free product such as a free sample or novelty goods. However, these are just examples.

[1-1. Information processing flow]
From here, the flow of information processing will be described with reference to FIG. FIG. 1 is a diagram showing an example of information processing according to an embodiment. In the example shown in FIG. 1, the log server 200 acquires various log data (step S1). Specifically, the log server 200 acquires log data indicating the behavior of users located in each area. For example, the log server 200 acquires a position history, which is a history of the user's position, from the terminal device 10. Further, the log server 200 acquires the search history, which is the history of the search query input by the user, from the search server. Further, the log server 200 acquires a browsing history, which is a history of the contents browsed by the user, from the content server. Further, the log server 200 acquires a purchase history, which is a purchase history by the user, from the electronic commerce server. The log server 200 may acquire the purchase history, which is the purchase history of the user by electronic payment at the actual store, from the electronic payment service server. Further, the log server 200 acquires the posting history, which is the history of posting by the user, from the posting server or the SNS (Social Networking Service) server that provides the word-of-mouth posting service. Further, the log server 200 can acquire various kinds of information in addition to the above-mentioned information. For example, the log server 200 acquires information on user attributes such as the user's age, gender, family structure, and financial status.

In addition, the log server 200 acquires information on the network regarding stores located in each area. For example, the log server 200 acquires information on the network regarding a user who has visited a store located in each area. Specifically, the log server 200 acquires information about the store, which is information posted by a user who visits a store located in each area, based on the acquired posting history. In addition, the log server 200 includes the location of stores located in each region, the average price (average customer unit price), the category (for example, the category of the store format such as a convenience store or a fast food store, and the products handled in stores such as coffee and hamburgers. And service categories, etc.) are acquired from the terminal devices of each store. Further, the log server 200 can acquire various kinds of information in addition to the above-mentioned information. For example, the log server 200 acquires information about the store such as the business hours of the store, the availability of smoking in the store, the presence / absence of a toilet, and the presence / absence of a parking lot.

In addition, the log server 200 acquires information on the network regarding each region. For example, the log server 200 acquires information on the network regarding each region such as temperature, weather, altitude, presence / absence of a roofed place, presence / absence of street lights, crime rate, average land price, and census result in each region.

The information processing device 100 acquires various log data from the log server 200 (step S2). Specifically, the information processing apparatus 100 acquires information on the network related to each region from the log server 200. More specifically, the information processing apparatus 100 acquires log data on the network indicating the behavior of users located in each area from the log server 200. For example, the information processing apparatus 100 acquires a position history, which is a history of the user's position, from the log server 200. Further, the information processing apparatus 100 acquires the search history, which is the history of the search query input by the user, from the log server 200. Further, the information processing apparatus 100 acquires a browsing history, which is a history of the contents browsed by the user, from the log server 200. Further, the information processing apparatus 100 acquires a purchase history, which is a purchase history by the user, from the log server 200. Further, the information processing apparatus 100 acquires the posting history, which is the history of posting by the user, from the log server 200. The information processing device 100 acquires various types of information in addition to the above-mentioned information. For example, the information processing device 100 acquires information on user information such as the age, gender, family structure, and financial status of the user from the log server 200. Moreover, in reality, it is not necessary to acquire all the above log data, it is sufficient to acquire the log data to be used.

The information processing device 100 acquires information on the network regarding stores located in each area from the log server 200. For example, the information processing device 100 acquires information on the network regarding a user who has visited a store located in each area. Specifically, the information processing apparatus 100 acquires information about the store, which is information posted by a user who visits a store located in each area, based on the posting history acquired from the log server 200. Further, the information processing apparatus 100 acquires information on the locations, average prices (average customer unit prices), and categories of stores located in each area from the log server 200. The information processing device 100 acquires various types of information in addition to the above-mentioned information. For example, the information processing device 100 acquires information about the store such as business hours of the store, smoking availability in the store, presence / absence of a toilet, presence / absence of a parking lot, and the like from the log server 200.

The information processing device 100 acquires information on the network related to each region from the log server 200. For example, the information processing device 100 provides information on a network regarding each region such as temperature, weather, altitude, presence / absence of a toilet, presence / absence of a roofed place, presence / absence of a street light, crime rate, average land price, and census result in each region. Is obtained from the log server 200.

Subsequently, when the information processing apparatus 100 acquires various log data, it identifies a user who is related to each region and extracts the log data of the specified user (step S3). Specifically, the information processing device 100 identifies users located in each area based on the user's position history. Further, the information processing device 100 identifies a user (resident) who resides in each area and a user (visitor) who has visited each area based on the position history of the user. Subsequently, the information processing apparatus 100 uses log data (resident log data) of each user specified as a user resident in each area and log data of each user specified as a user visiting each area (resident log data). Visitor log data) and is extracted.

For example, the information processing apparatus 100 identifies the user # 1, the user # 2, the user # 3, ..., Who are the users located in the area # 1, based on the position history of the user. Subsequently, the information processing apparatus 100 extracts log data of users # 1, users # 2, users # 3, ..., Who are users located in the area # 1. For example, the information processing apparatus 100 extracts the search history of the user # 1, the browsing history of the user # 1, the purchase history of the user # 1, and so on as the log data of the user # 1. Further, the information processing apparatus 100 extracts the search history of the user # 2, the browsing history of the user # 2, the purchase history of the user # 2, and so on as the log data of the user # 2. In this way, the information processing apparatus 100 extracts the log data of each user located in the area # 1.

Subsequently, the information processing device 100 identifies users who may visit each store based on the log data of the users who are related to each region and the information about the stores located in each region. , Extract the log data of the specified user (step S4). Specifically, the information processing device 100 identifies a user (target person) located around each store based on the user's position history. Subsequently, the information processing device 100 extracts log data (target person log data) of each user specified as a user located around each store. Here, the information processing device 100 visits the log data (target resident log data) of each user who is a user resident in each area and is identified as a user located around each store, and visits each area. The log data (target visitor log data) of each user who has been identified as a user who is located around each store is extracted.

The “around the store” is within a predetermined range centered on the store (for example, within a radius of 500 m). Further, for example, it may be a regional mesh in which regions are divided into meshes (mesh) of substantially the same size based on latitude and longitude, and may be within the range of the regional mesh including the store. Further, it may be a block or a lot of land including the store, or may be within a predetermined range centered on these.

The information processing device 100 estimates the context of each region and the user based on the extracted log data of the user (step S5). For example, the information processing device 100 estimates information about a user located in each area as a context of each area. Further, the information processing device 100 estimates the context of the user's behavior in the area as the user's context. In addition, the information processing device 100 estimates information about the user's interests as the user's context. For example, the information processing apparatus 100 estimates the context of the user # 1 who visited the area # 1 based on the extracted log data of the user # 1. As a result, the information processing apparatus 100 can estimate, for example, the aging of the region as the context of each region. In addition, the information processing device 100 can estimate, for example, an elderly person who has a pain in the shoulder or lower back as the context of the user.

The information processing device 100 estimates the tendency and needs of users located around each store based on the estimated region and the context of the user, and arranges goods (layout) and personnel in each store according to the estimation. Create a store-building plan that adjusts the layout (shift), etc. (step S6). Specifically, the information processing device 100 determines which of the resident and the visitor accounts for the users located around each store. Then, when it is determined that there are more residents, the information processing device 100 creates a store-building plan that meets the demands of the residents. On the contrary, if it is determined that there are more visitors, a store development plan that meets the demands of the visitors is created. At this time, the information processing device 100 considers the attributes of the resident and the visitor, and creates a store-building plan that meets the demand of the resident and the visitor having the attribute with the largest number of people.

For example, in the information processing device 100, when the number of elderly people is increasing around the store due to the aging of the area where the store is located, the influx of population, etc. If it is presumed that there are many elderly people who are not feeling well, it is necessary to place products for the elderly and products that are in high demand by the elderly in the middle of the display shelves, and to bend over the upper tier where it is necessary to stretch their arms and back. In a certain lower row, we will create a store-building plan to change to shelving allocation to place products that are not in demand by the elderly. In addition, create a store-building plan that changes the layout to match the flow lines of the elderly. In addition, for heavy items that are difficult for the elderly to carry, either do not receive them or create a store-building plan for home delivery. In addition, a store development plan will be created to change the arrangement of equipment related to the store (for example, the arrangement of store fixtures and store tables and chairs) to a layout that considers the elderly. In addition, we will increase the number of people who can support the elderly and create a store planning plan to place them in major locations within the store.

Further, the information processing device 100 is used when a large number of young people are temporarily visiting the area where the store is located due to summer vacation, an event, etc. If it is estimated that the number of searches and posts related to insect repellent spray is increasing rapidly, temporarily change the store shelves and layout, and place leisure sheets and insect repellent spray at the entrance of the store and next to the cash register. Create a store planning plan. In addition, if it is estimated that the number of searches and posts related to specific beverages and foods is increasing rapidly around the store due to a temporary outbreak, etc., the specific beverage should be placed at the entrance of the store or next to the cash register. Create a store planning plan to place food and food.

The information processing device 100 creates proposal data related to the store creation plan and transmits it to the store device 300 (step S6). At this time, the store device 300 can receive the proposal data and display it on the screen. This makes it possible to support the creation of more appropriate stores. In addition, in order to adjust the arrangement of goods and personnel in the store by estimating the user base and their needs around the store from various log data, the occurrence of sudden events and the surrounding situation that are not known in advance It is possible to respond to changes in the user base and their needs due to sudden changes in the market.

Here, the store-building plan is a plan regarding the appropriate arrangement and flow of the components in the store. The components are people, goods, equipment, warehouses, offices, and the like. Equipment includes, for example, store fixtures such as display shelves, store tables and chairs, and the like. In the store development plan, for example, the goods and personnel to be actually placed (or moved), the position and place after the goods and personnel are placed, the timing and schedule for arranging the goods and personnel, and the time when the goods and personnel are placed. Contains various information about flow lines and the like. In addition, the store creation plan is not limited to the layout plan and flow line plan of the stores that are open, and may be used for store opening plans (new store openings) and renovation plans (store renovations).

[1-2. Evaluation of product layout]
Using FIG. 2, the information processing device 100 relates to the layout of the displayed products based on the presence or absence of the user's predetermined behavior with respect to the products (displayed products) displayed in the actual store (hereinafter, simply referred to as “store”). An example of calculating an evaluation value indicating evaluation will be described. FIG. 2 is a diagram showing an example of layout evaluation according to the embodiment. In the example of FIG. 2, the case where the user's predetermined action is the action of the user picking up the product is shown as an example, but the user's predetermined action is the user's action on the displayed product. If it is an action, it may be various actions such as purchase.

When a user enters a store, the terminal device 10 transmits information that identifies the user, such as a user ID, to the information processing device 100, the log server 200, or the store device 300. For example, when the terminal device 10 communicates with a predetermined beacon or the like installed in a store, the information processing device 100, the log server 200, or the store device can provide information that identifies a user who uses the terminal device 10 such as a user ID. It may be transmitted to 300. For example, when the terminal device 10 communicates with a predetermined beacon or the like installed on each shelf in the store, information identifying the user such as a user ID is transmitted to the information processing device 100, the log server 200, or the store device 300. You may send it. For example, when the terminal device 10 communicates with a predetermined beacon or the like installed near the entrance of the store, the terminal device 10 transmits information identifying the user such as a user ID to the information processing device 100, the log server 200, or the store device 300. You may. The above is an example, and the terminal device 10 transmits information identifying a user who uses the terminal device 10 such as a user ID to the information processing device 100, the log server 200, and the store device 300 at various timings. You may.

The store device 300 transmits the collected information to the information processing device 100. For example, the store device 300 collects information detected by various sensors arranged in the store, and transmits the collected information to the information processing device 100. For example, the store device 300 collects information detected by image sensors arranged on each shelf in the store, and transmits the collected information to the information processing device 100. Further, for example, the store device 300 collects information detected by an image sensor arranged near the entrance of the store, and transmits the collected information to the information processing device 100.

For example, the store device 300 may analyze the information detected by each sensor and transmit the information identifying the product that the user has contacted to the information processing device 100. Further, for example, the store device 300 may analyze the information detected by each sensor and transmit the information for identifying the user and the information for identifying the product with which the user has come into contact with the information processing device 100 to the information processing device 100. For example, the store device 300 analyzes the information detected by the image sensor provided in the store by appropriately using various conventional methods of image processing and image analysis, and the user comes into contact with the information that identifies the user. Information that identifies the product may be transmitted to the information processing apparatus 100. Any device may perform the process of extracting the information that identifies the user and the information that identifies the product that the user has contacted from the information detected by the sensor. For example, the information processing device 100 analyzes the information acquired from the store device 300 by appropriately using various conventional methods of image processing and image analysis, and obtains information that identifies the user and products that the user has contacted. Information to be specified may be extracted.

The information processing device 100 includes information on the layout of products displayed in the store (displayed products) and information indicating the displayed products in which the user who entered the store performed a predetermined action (action target product). Based on the above, the evaluation value related to the layout is calculated. Further, the information processing apparatus 100 may input information regarding the layout of products displayed in the store into the model and train the information (evaluation information) based on the calculated evaluation value as correct answer data. Further, the information processing device 100 may provide information (evaluation information) based on the calculated evaluation value to an external information processing device. For example, the information processing device 100 may transmit the evaluation information of the layout to the store device 300 of the store that has adopted the layout.

In the example of FIG. 2, the information processing device 100 calculates the evaluation values of the three layouts corresponding to the predetermined arrangement patterns of the shelves (shelf SC1) identified by the shelf ID “SC1” provided in the X store. show. In the example of FIG. 2, the case where the shelf SC1 is divided into four areas and products are displayed in each area (position) is shown. The shelf SC1 in FIG. 2 is divided into four areas: an upper left position PS1, an upper right position PS2, a lower left position PS3, and a lower right position PS4. Then, the information processing apparatus 100 displays individual products at each of the positions PS1 to PS4, and calculates an evaluation value of the layout for each display pattern.

The shelf SC1 schematically shows a display shelf. The shelf SC1 may indicate each shelf (each stage) of the display shelf. Further, the shelf SC1 may indicate the display shelf itself, and the positions PS1, PS2, PS3, and PS4 may indicate each shelf of the display shelf.

First, in the example of FIG. 2, the information processing apparatus 100 is identified by the layout ID “LT1”, and the layout (layout LT1) is set as the first layout (first layout), and the evaluation value is calculated. As shown in the first layout in FIG. 2, in the layout LT1, the product A is displayed at the position PS1 of the shelf SC1, the product B is displayed at the position PS2 of the shelf SC1, and the product B is displayed at the position PS3 of the shelf SC1. The product C is displayed on the shelf, and the product D is displayed on the position PS4 of the shelf SC1. For example, the layout LT1 corresponds to the first layout adopted on the shelf SC1 of the X store during the period TM1.

The information processing device 100 acquires various information about the X store during the period when the layout LT1 is adopted on the shelf SC1 (step S11). For example, the information processing device 100 acquires various information about the X store from the store device 300 (see FIG. 2) of the X store during the period when the layout LT1 is adopted on the shelf SC1 (for example, the period TM1 or the like). For example, the information processing device 100 acquires information indicating the number of times each product is picked up by a user in the layout LT1 and the number of users who have visited the X store.

For example, the information processing apparatus 100 acquires information about the X store during the period in which the layout LT1 is adopted, as shown in the store information TG1. Here, the "target store" in the store information TG1 indicates a store for which information is collected. In this case, the target store is "X store". The "number of store visits" indicates the number of users who visited the target store during the corresponding period. In this case, the number of store visits indicates the number of users who visited the X store during the period (period TM1) identified by the period ID "TM1". In addition, "target shelf" indicates a shelf for which information is collected. In this case, the target shelf is "shelf SC1". In the example of FIG. 2, as shown in the store information TG1, the information processing apparatus 100 acquires information indicating that the number of users visiting the X store during the period in which the layout LT1 is adopted is 1000.

Further, for example, as shown in the evaluation information RL1, the information processing apparatus 100 acquires information indicating the number of users who have picked up each product during the period in which the layout LT1 is adopted. Here, the "layout" in the evaluation information RL1 indicates a layout for which information is collected. In this case, the layout is "layout LT1". "Position" indicates a placement position in the corresponding layout. “Product” indicates a product placed at a corresponding position. In addition, the "contact number" indicates the number of users who have contacted the corresponding product during the corresponding period (the number of product contact users).

In the example of FIG. 2, the information processing apparatus 100 acquires information indicating that the product A is arranged at the position PS1 in the layout LT1. For example, the information processing apparatus 100 acquires information indicating that the number of users who have come into contact with the product A arranged at the position PS1 during the period TM1 is 30. Further, the information processing apparatus 100 acquires information indicating that the product B is arranged at the position PS2 in the layout LT1. Further, the information processing apparatus 100 acquires information indicating that the number of users who have come into contact with the product B arranged at the position PS2 during the period TM1 is 50.

Further, the information processing apparatus 100 acquires information indicating that the product C is arranged at the position PS3 in the layout LT1. Further, the information processing apparatus 100 acquires information indicating that the number of users who have come into contact with the product C arranged at the position PS3 during the period TM1 is five. Further, the information processing apparatus 100 acquires information indicating that the product D is arranged at the position PS4 in the layout LT1. Further, the information processing apparatus 100 acquires information indicating that the number of users who have come into contact with the product D arranged at the position PS4 during the period TM1 is 15.

The information processing device 100 may acquire various information (excluding the calculated evaluation value) shown in the store information TG1 and the evaluation information RL1 from the store device 300 of the X store, or the store device 300 or the terminal device. It may be extracted from the information obtained from 10. Further, the information processing device 100 may store information as shown in the store information TG1 and the evaluation information RL1 in the storage unit 120 (see FIG. 5) in association with the period TM1.

Then, the information processing apparatus 100 calculates the evaluation value of the layout LT1 (hereinafter, also referred to as “layout evaluation value”) (step S12). First, in the example of FIG. 2, the information processing apparatus 100 uses the evaluation values of the products A to D displayed at the positions PS1 to PS4 of the layout LT1 as information used for calculating the evaluation value of the layout LT1 (hereinafter, the evaluation values of the products A to D). (Also called "product evaluation value") is calculated.

For example, the information processing device 100 is a product of each product based on a value calculated by dividing the number of users who picked up each product (hereinafter, may be referred to as "contact number") by the number of store visits. Calculate the evaluation value. For example, the information processing device 100 calculates a product evaluation value of a product by the following formula (1).

Product evaluation value = number of contacts / number of store visits * 100 ・ ・ ・ (1)

The element (denominator) for dividing the number of contacts is not limited to the number of store visits, and may be, for example, the number of users located within a predetermined range from the shelf SC1. Further, the number of contacts is not limited to the number of users picked up, but may be the number of users who purchased the product (hereinafter, may be referred to as "the number of purchases"). Further, the number of contacts may be the number of users who have visually recognized the product when the information regarding the user's line of sight can be detected by a sensor or the like that detects the user's line of sight. In this case, the number of contacts may be measured using various conventional techniques such as eye tracking (line-of-sight measurement). Further, for example, the information processing apparatus 100 may calculate the product evaluation value of the product by the following formulas (2) and (3).

Product evaluation value = number of contacts / number of users located within a predetermined range * 100 ... (2)

Product evaluation value = Number of purchases / Number of store visits * 100 ・ ・ ・ (3)

The above equations (1) to (3) are examples, and the information processing device 100 enters the store or information about a user who has performed a predetermined action on the product by picking up the product or the like. The product evaluation value may be calculated by appropriately using various information such as information on a user who may perform a predetermined action on the product. In the following, the information processing apparatus 100 uses the formula (1) to calculate the product evaluation value of each product when it is displayed in the corresponding layout.

In the example of FIG. 2, the information processing apparatus 100 calculates the product evaluation values of the products A to D in the layout LT1 as shown in the evaluation information RL1. For example, the information processing apparatus 100 divides the number of contacts "30" of the product A displayed at the position PS1 of the layout LT1 by the number of visits "1000", so that the product A displayed at the position PS1 of the layout LT1 is displayed. Calculate the product evaluation value of. Specifically, the information processing apparatus 100 uses the above formula (1) to set the product evaluation value of the product A when it is displayed at the position PS1 of the layout LT1 to "3 (= 30/1000 * 100)". Is calculated.

Further, the information processing device 100 divides the number of contacts "50" of the product B displayed at the position PS2 of the layout LT1 by the number of visits "1000", so that the product B displayed at the position PS2 of the layout LT1 is displayed. Calculate the product evaluation value of. Specifically, the information processing apparatus 100 uses the above equation (1) to set the product evaluation value of the product B when it is displayed at the position PS2 of the layout LT1 to "5 (= 50/1000 * 100)". Is calculated.

Further, the information processing apparatus 100 divides the number of contacts "5" of the product C displayed at the position PS3 of the layout LT1 by the number of visits "1000", so that the product C displayed at the position PS3 of the layout LT1 is displayed. Calculate the product evaluation value of. Specifically, the information processing apparatus 100 uses the above formula (1) to set the product evaluation value of the product C when it is displayed at the position PS3 of the layout LT1 to "0.5 (= 5/1000 * 100). ) ”.

Further, the information processing apparatus 100 divides the number of contacts "15" of the product D displayed at the position PS4 of the layout LT1 by the number of visits "1000", so that the product D displayed at the position PS4 of the layout LT1 is displayed. Calculate the product evaluation value of. Specifically, the information processing apparatus 100 uses the above formula (1) to set the product evaluation value of the product D when it is displayed at the position PS4 of the layout LT1 to "1.5 (= 15/1000 * 100). ) ”.

Then, the information processing apparatus 100 calculates the evaluation value (layout evaluation value) of the layout LT1 based on the product evaluation values of the products A to D displayed at the positions PS1 to PS4 of the layout LT1. For example, the information processing device 100 calculates the average value of the product evaluation values of each product as the layout evaluation value. For example, the information processing device 100 calculates the product evaluation value of the layout by the following formula (4).

Layout evaluation value = Total product evaluation value of all displayed products / Number of displayed products ・ ・ ・ (4)

The above equation (4) is an example, and the information processing apparatus 100 may calculate the layout evaluation value by appropriately using various information that can be used for calculating the layout evaluation. In the following, the information processing apparatus 100 calculates the layout evaluation value using the equation (4). In the example of FIG. 2, since the number of products (displayed products) displayed on the shelf SC1 is "4", the information processing device 100 is the total of the product evaluation values of the products A to D displayed in the layout LT1. Is divided by the number of displayed products "4" to calculate the layout evaluation value of layout LT1.

In the example of FIG. 2, as shown in the evaluation information RL1, the information processing apparatus 100 displays the total “10 (= 3 + 5 + 0.5 + 1.5)” of the product evaluation values of the products A to D in the layout LT1 as the number of products displayed. The layout evaluation value of layout LT1 is calculated by dividing by "4". Specifically, the information processing apparatus 100 calculates the layout evaluation value of the layout LT1 as "2.5 (= 10/4)" by using the above equation (4).

Next, in the example of FIG. 2, the information processing apparatus 100 is identified by the layout ID “LT2”, and the layout (layout LT2) is set as the second layout (second layout), and the evaluation value is calculated. As shown in the second layout in FIG. 2, in the layout LT2, the product B is displayed at the position PS1 of the shelf SC1, the product A is displayed at the position PS2 of the shelf SC1, and the product A is displayed at the position PS3 of the shelf SC1. The product C is displayed on the shelf, and the product D is displayed on the position PS4 of the shelf SC1. For example, the layout LT2 corresponds to the second layout adopted on the shelf SC1 of the X store during the period TM2.

The information processing device 100 acquires various information about the X store during the period when the layout LT2 is adopted on the shelf SC1 (step S13). For example, the information processing device 100 acquires various information about the X store from the store device 300 (see FIG. 2) of the X store during the period when the layout LT2 is adopted on the shelf SC1 (for example, the period TM2 or the like). For example, the information processing device 100 acquires information indicating the number of times each product is picked up by the user in the layout LT2 and the number of users who have visited the X store.

For example, the information processing apparatus 100 acquires information about the X store during the period when the layout LT2 is adopted, as shown in the store information TG2. In this case, the number of store visits indicates the number of users who visited the X store during the period (period TM2) identified by the period ID "TM2". In the example of FIG. 2, as shown in the store information TG2, the information processing apparatus 100 acquires information indicating that the number of users visiting the X store during the period in which the layout LT2 is adopted is 1000.

Further, for example, as shown in the evaluation information RL2, the information processing apparatus 100 acquires information indicating the number of users who have picked up each product during the period in which the layout LT2 is adopted. Here, the "layout" in the evaluation information RL2 indicates a layout for which information is collected. In this case, the layout is "layout LT2". "Position" indicates a placement position in the corresponding layout. “Product” indicates a product placed at a corresponding position. In addition, the "contact number" indicates the number of users who have contacted the corresponding product during the corresponding period.

In the example of FIG. 2, the information processing apparatus 100 acquires information indicating that the product B is arranged at the position PS1 in the layout LT2. Further, the information processing apparatus 100 acquires information indicating that the number of users who have come into contact with the product B arranged at the position PS1 during the period TM2 is 40. Further, the information processing apparatus 100 acquires information indicating that the product A is arranged at the position PS2 in the layout LT2. Further, the information processing apparatus 100 acquires information indicating that the number of users who have come into contact with the product A arranged at the position PS2 during the period TM2 is 40.

In addition, information indicating that the product C is arranged at the position PS3 in the layout LT2 is acquired. Further, the information processing apparatus 100 acquires information indicating that the number of users who have come into contact with the product C arranged at the position PS3 during the period TM2 is five. Further, the information processing apparatus 100 acquires information indicating that the product D is arranged at the position PS4 in the layout LT2. Further, the information processing apparatus 100 acquires information indicating that the number of users who have come into contact with the product D arranged at the position PS4 during the period TM2 is 15.

The information processing device 100 may acquire various information (excluding the calculated evaluation value) shown in the store information TG2 and the evaluation information RL2 from the store device 300 of the X store, or the store device 300 or the terminal device. It may be extracted from the information obtained from 10. Further, the information processing device 100 may store information as shown in the store information TG2 and the evaluation information RL2 in the storage unit 120 (see FIG. 5) in association with the period TM2.

Then, the information processing apparatus 100 calculates the layout evaluation value of the layout LT2 (step S14). In the example of FIG. 2, the information processing apparatus 100 calculates the product evaluation values of the products A to D displayed at the positions PS1 to PS4 of the layout LT2 as the information used for calculating the evaluation value of the layout LT2.

For example, the information processing device 100 calculates the product evaluation value of each product based on the value calculated by dividing the number of contacts, which is the number of users who picked up each product, by the number of store visits. For example, the information processing device 100 calculates the product evaluation value of the product by the above formula (1).

In the example of FIG. 2, the information processing apparatus 100 calculates the product evaluation values of the products A to D in the layout LT2 as shown in the evaluation information RL2. For example, the information processing apparatus 100 divides the number of contacts "40" of the product B displayed at the position PS1 of the layout LT2 by the number of visits "1000", so that the product B displayed at the position PS1 of the layout LT2 is displayed. Calculate the product evaluation value of. Specifically, the information processing apparatus 100 uses the above equation (1) to set the product evaluation value of the product B when it is displayed at the position PS1 of the layout LT2 to "4 (= 40/1000 * 100)". Is calculated.

Further, the information processing device 100 divides the number of contacts "40" of the product A displayed at the position PS2 of the layout LT2 by the number of visits "1000", so that the product A displayed at the position PS2 of the layout LT2 is displayed. Calculate the product evaluation value of. Specifically, the information processing apparatus 100 uses the above formula (1) to set the product evaluation value of the product A when it is displayed at the position PS2 of the layout LT2 to "4 (= 40/1000 * 100)". Is calculated.

Further, the information processing apparatus 100 divides the number of contacts "5" of the product C displayed at the position PS3 of the layout LT2 by the number of visits "1000", so that the product C displayed at the position PS3 of the layout LT2 is displayed. Calculate the product evaluation value of. Specifically, the information processing apparatus 100 uses the above equation (1) to set the product evaluation value of the product C when it is displayed at the position PS3 of the layout LT2 to "0.5 (= 5/1000 * 100). ) ”.

Further, the information processing apparatus 100 divides the number of contacts "15" of the product D displayed at the position PS4 of the layout LT2 by the number of visits "1000", so that the product D displayed at the position PS4 of the layout LT2 is displayed. Calculate the product evaluation value of. Specifically, the information processing apparatus 100 uses the above formula (1) to set the product evaluation value of the product D when it is displayed at the position PS4 of the layout LT2 to "1.5 (= 15/1000 * 100). ) ”.

Then, the information processing apparatus 100 calculates the layout evaluation value of the layout LT2 based on the product evaluation values of the products A to D displayed at the positions PS1 to PS4 of the layout LT2. For example, the information processing device 100 calculates the average value of the product evaluation values of each product as the layout evaluation value. For example, the information processing device 100 calculates the product evaluation value of the layout by the above formula (4).

In the example of FIG. 2, since the number of products (displayed products) displayed on the shelf SC1 is "4", the information processing device 100 is the total of the product evaluation values of the products A to D displayed in the layout LT2. Is divided by the number of displayed products "4" to calculate the layout evaluation value of layout LT2.

In the example of FIG. 2, as shown in the evaluation information RL2, the information processing apparatus 100 displays the total “10 (= 4 + 4 + 0.5 + 1.5)” of the product evaluation values of the products A to D in the layout LT2 as the number of products displayed. The layout evaluation value of layout LT2 is calculated by dividing by "4". Specifically, the information processing apparatus 100 calculates the layout evaluation value of the layout LT2 as "2.5 (= 10/4)" by using the above equation (4).

Next, in the example of FIG. 2, the information processing apparatus 100 is identified by the layout ID “LT3”, and the layout (layout LT3) is set as the third layout (third layout), and the evaluation value is calculated. As shown in the third layout in FIG. 2, in the layout LT3, the product A is displayed at the position PS1 of the shelf SC1, the product D is displayed at the position PS2 of the shelf SC1, and the product D is displayed at the position PS3 of the shelf SC1. The product C is displayed on the shelf, and the product B is displayed on the position PS4 of the shelf SC1. For example, the layout LT3 corresponds to the third layout adopted on the shelf SC1 of the X store during the period TM3.

The information processing device 100 acquires various information about the X store during the period when the layout LT3 is adopted on the shelf SC1 (step S15). For example, the information processing device 100 acquires various information about the X store from the store device 300 (see FIG. 2) of the X store during the period when the layout LT3 is adopted on the shelf SC1 (for example, the period TM3 or the like). For example, the information processing device 100 acquires information indicating the number of times each product is picked up by a user in the layout LT3 and the number of users who have visited the X store.

For example, the information processing apparatus 100 acquires information about the X store during the period in which the layout LT3 is adopted, as shown in the store information TG3. In this case, the number of store visits indicates the number of users who visited the X store during the period (period TM3) identified by the period ID "TM3". In the example of FIG. 2, as shown in the store information TG3, the information processing apparatus 100 acquires information indicating that the number of users visiting the X store during the period in which the layout LT3 is adopted is 1000.

Further, for example, as shown in the evaluation information RL3, the information processing apparatus 100 acquires information indicating the number of users who picked up each product during the period in which the layout LT3 was adopted. Here, the "layout" in the evaluation information RL3 indicates a layout for which information is collected. In this case, the layout is "layout LT3". "Position" indicates a placement position in the corresponding layout. “Product” indicates a product placed at a corresponding position. In addition, the "contact number" indicates the number of users who have contacted the corresponding product during the corresponding period.

In the example of FIG. 2, the information processing apparatus 100 acquires information indicating that the product A is arranged at the position PS1 in the layout LT3. Further, the information processing apparatus 100 acquires information indicating that the number of users who have come into contact with the product A arranged at the position PS1 during the period TM3 is 30. Further, the information processing apparatus 100 acquires information indicating that the product D is arranged at the position PS2 in the layout LT3. Further, the information processing apparatus 100 acquires information indicating that the number of users who have come into contact with the product D arranged at the position PS2 during the period TM3 is 50.

In addition, information indicating that the product C is arranged at the position PS3 in the layout LT3 is acquired. Further, the information processing apparatus 100 acquires information indicating that the number of users who have come into contact with the product C arranged at the position PS3 during the period TM3 is 10. Further, the information processing apparatus 100 acquires information indicating that the product B is arranged at the position PS4 in the layout LT3. Further, the information processing apparatus 100 acquires information indicating that the number of users who have come into contact with the product B arranged at the position PS4 during the period TM3 is 30.

The information processing device 100 may acquire various information (excluding the calculated evaluation value) shown in the store information TG3 and the evaluation information RL3 from the store device 300 of the X store, or the store device 300 or the terminal device. It may be extracted from the information obtained from 10. Further, the information processing device 100 may store information as shown in the store information TG3 and the evaluation information RL3 in the storage unit 120 (see FIG. 5) in association with the period TM3.

Then, the information processing apparatus 100 calculates the layout evaluation value of the layout LT3 (step S16). In the example of FIG. 2, the information processing apparatus 100 calculates the product evaluation values of the products A to D displayed at the positions PS1 to PS4 of the layout LT3 as the information used for calculating the evaluation value of the layout LT3.

For example, the information processing device 100 calculates the product evaluation value of each product based on the value calculated by dividing the number of contacts, which is the number of users who picked up each product, by the number of store visits. For example, the information processing device 100 calculates the product evaluation value of the product by the above formula (1).

In the example of FIG. 2, the information processing apparatus 100 calculates the product evaluation values of the products A to D in the layout LT 3 as shown in the evaluation information RL3. For example, the information processing apparatus 100 divides the number of contacts "30" of the product A displayed at the position PS1 of the layout LT3 by the number of visits "1000", so that the product A displayed at the position PS1 of the layout LT3 is displayed. Calculate the product evaluation value of. Specifically, the information processing apparatus 100 uses the above formula (1) to set the product evaluation value of the product A when it is displayed at the position PS1 of the layout LT3 to "3 (= 30/1000 * 100)". Is calculated.

Further, the information processing apparatus 100 divides the number of contacts "50" of the product D displayed at the position PS2 of the layout LT3 by the number of visits "1000", so that the product D displayed at the position PS2 of the layout LT3 is displayed. Calculate the product evaluation value of. Specifically, the information processing apparatus 100 uses the above equation (1) to set the product evaluation value of the product D when it is displayed at the position PS2 of the layout LT3 to "5 (= 50/1000 * 100)". Is calculated.

Further, the information processing apparatus 100 divides the number of contacts "5" of the product C displayed at the position PS3 of the layout LT3 by the number of visits "1000", so that the product C displayed at the position PS3 of the layout LT3 is displayed. Calculate the product evaluation value of. Specifically, the information processing apparatus 100 uses the above equation (1) to set the product evaluation value of the product C when it is displayed at the position PS3 of the layout LT3 to "1 (= 10/1000 * 100)". Is calculated.

Further, the information processing apparatus 100 divides the number of contacts "30" of the product B displayed at the position PS4 of the layout LT3 by the number of visits "1000", so that the product B displayed at the position PS4 of the layout LT3 is displayed. Calculate the product evaluation value of. Specifically, the information processing apparatus 100 uses the above equation (1) to set the product evaluation value of the product B when it is displayed at the position PS4 of the layout LT3 to "3 (= 30/1000 * 100)". Is calculated.

Then, the information processing apparatus 100 calculates the layout evaluation value of the layout LT3 based on the product evaluation values of the products A to D displayed at the positions PS1 to PS4 of the layout LT3. For example, the information processing device 100 calculates the average value of the product evaluation values of each product as the layout evaluation value. For example, the information processing device 100 calculates the product evaluation value of the layout by the above formula (4).

In the example of FIG. 2, since the number of products (displayed products) displayed on the shelf SC1 is "4", the information processing device 100 is the total of the product evaluation values of the products A to D displayed in the layout LT3. Is divided by the number of displayed products "4" to calculate the layout evaluation value of layout LT3.

In the example of FIG. 2, as shown in the evaluation information RL3, the information processing apparatus 100 divides the total of the product evaluation values of the products A to D in the layout LT3 “12 (= 3 + 5 + 1 + 3)” by the number of displayed products “4”. By doing so, the layout evaluation value of the layout LT3 is calculated. Specifically, the information processing apparatus 100 calculates the layout evaluation value of the layout LT3 as "3 (= 12/4)" by using the above equation (4).

In the example of FIG. 2, the calculation of the layout evaluation values of the three layouts LT1 to the third layout, which are the first layout to the third layout, is shown as an example, but the information processing apparatus 100 is adopted in the shelf SC1 of the X store. The layout evaluation value of each layout is calculated according to the number of layout patterns (types). For example, the information processing apparatus 100 calculates layout evaluation values of the fourth layout to the Nth layout (N is a number of 5 or more, for example, 100, etc.) in addition to the layout evaluation values of layout LT1 to layout LT3.

In this way, the information processing device 100 can appropriately calculate the evaluation of the product layout in the store by calculating the layout evaluation value of each layout based on the product evaluation value of the product displayed in the layout. can. In the example of FIG. 2, the information processing device 100 calculates a product evaluation value based on the number of users who picked up the displayed product and the number of users who visited the store, and based on the product evaluation value. Calculate the layout evaluation value. As a result, the information processing device 100 can calculate a product evaluation value for evaluating each product according to whether or not the user has performed a predetermined action such as contact with the actually displayed product. Further, the information processing device 100 can appropriately calculate the evaluation regarding the layout of the product in the store by calculating the layout evaluation value of the layout indicating the display mode of the product based on the calculated product evaluation value. ..

As described above, in the example of FIG. 2, the information processing apparatus 100 calculates the layout evaluation value of the layout LT1 as “2.5”, calculates the layout evaluation value of the layout LT2 as “2.5”, and lays out the layout. The layout evaluation value of LT3 is calculated as "3". In this case, the information processing apparatus 100 can determine that the layout LT3 having the highest layout evaluation value is the most appropriate layout among the layout LT1 to the layout LT3.

Similar to the above-mentioned evaluation regarding the layout of the product, it is also possible to evaluate the staffing in the store. In this case, the above "product" is read as "personnel", and "product that the user has contacted (or purchased)" is read as "personnel who has served (or responded to) the user". Similarly, "number of contacts (or number of purchases)" should be read as "number of customer service (or number of responses)". Further, "positions PS1 to 4 of the shelf SC1" are read as "positions PS1 to 4 around the shelf SC1". Alternatively, "the shelf identified by the shelf ID" SC1 "provided in the X store (shelf SC1)" is read as "the corner identified by the corner ID" SC1 "in the X store (corner SC1)".

[2. Information processing system configuration example]
Next, the configuration of the information processing system 1 including the information processing device 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. As shown in FIG. 3, the information processing system 1 according to the embodiment includes a terminal device 10 and an information processing device 100. These various devices are connected via network N so as to be communicable by wire or wirelessly. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

Further, the number of each device included in the information processing system 1 shown in FIG. 3 is not limited to that shown in the figure. For example, in FIG. 3, for simplification of the illustration, only one terminal device 10 is shown, but this is merely an example and is not limited, and may be two or more.

The terminal device 10 is an information processing device used by the user. For example, the terminal device 10 is a smart device such as a smartphone or tablet terminal, a feature phone, a PC (Personal Computer), a PDA (Personal Digital Assistant), a car navigation system, a wearable device such as a smart watch or a head-mounted display (Wearable Device). , Smart glasses, etc.

Further, the terminal device 10 includes a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), 5G (5th Generation: 5th generation mobile communication system), Bluetooth (registered trademark), and wireless LAN (Local). It can be connected to the network N via short-range wireless communication such as Area Network) and communicate with the information processing apparatus 100.

The information processing device 100 is, for example, a PC, a server, a mainframe, a workstation, or the like. The information processing device 100 may be realized by cloud computing.

[3. Terminal device configuration example]
Next, the configuration of the terminal device 10 will be described with reference to FIG. FIG. 4 is a diagram showing a configuration example of the terminal device 10. As shown in FIG. 4, the terminal device 10 includes a communication unit 11, a display unit 12, an input unit 13, a positioning unit 14, a sensor unit 20, a control unit 30 (controller), and a storage unit 40. Be prepared.

(Communication unit 11)
The communication unit 11 is connected to the network N (see FIG. 3) by wire or wirelessly, and transmits / receives information to / from the information processing device 100 via the network N. For example, the communication unit 11 is realized by a NIC (Network Interface Card), an antenna, or the like.

(Display unit 12)
The display unit 12 is a display device that displays various information such as position information. For example, the display unit 12 is a liquid crystal display (LCD) or an organic EL display (Organic Electro-Luminescent Display). Further, the display unit 12 is a touch panel type display, but the display unit 12 is not limited to this.

(Input unit 13)
The input unit 13 is an input device that receives various operations from the user. The input unit 13 has, for example, a button for inputting characters, numbers, and the like. When the display unit 12 is a touch panel type display, a part of the display unit 12 functions as an input unit 13. The input unit 13 may be a microphone or the like that receives voice input from the user. The microphone may be wireless.

(Positioning unit 14)
The positioning unit 14 receives a signal (radio wave) transmitted from a GPS (Global Positioning System) satellite, and based on the received signal, position information (for example, latitude) indicating the current position of the terminal device 10 which is its own device. And longitude). That is, the positioning unit 14 positions the terminal device 10. GPS is only an example of GNSS (Global Navigation Satellite System).

In addition, the positioning unit 14 can position the position by various methods other than GPS. For example, the positioning unit 14 may position the position by using various communication functions of the terminal device 10 as described below as an auxiliary positioning means for position correction or the like.

(Wi-Fi positioning)
For example, the positioning unit 14 positions the terminal device 10 by using the Wi-Fi (registered trademark) communication function of the terminal device 10 or the communication network provided by each communication company. Specifically, the positioning unit 14 determines the position of the terminal device 10 by performing Wi-Fi communication or the like and positioning the distance to a nearby base station or access point.

(Beacon positioning)
Further, the positioning unit 14 may position the position by using the Bluetooth (registered trademark) function of the terminal device 10. For example, the positioning unit 14 positions the terminal device 10 by connecting to a beacon transmitter connected by the Bluetooth function.

(Geomagnetic positioning)
Further, the positioning unit 14 positions the position of the terminal device 10 based on the geomagnetic pattern of the structure measured in advance and the geomagnetic sensor included in the terminal device 10.

(RFID positioning)
Further, for example, when the terminal device 10 has an RFID (Radio Frequency Identification) tag function equivalent to a contactless IC card used at a station ticket gate, a store, or the like, or has a function of reading an RFID tag. In this case, the used position is recorded together with the information that the terminal device 10 has settled. The positioning unit 14 may position the position of the terminal device 10 by acquiring such information. Further, the position may be determined by an optical sensor included in the terminal device 10, an infrared sensor, or the like.

The positioning unit 14 may position the position of the terminal device 10 by using one or a combination of the above-mentioned positioning means, if necessary.

(Sensor unit 20)
The sensor unit 20 includes various sensors mounted on the terminal device 10. In the example shown in FIG. 4, the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, a pressure sensor 23, a temperature sensor 24, a sound sensor 25, an optical sensor 26, a step count sensor 27, and an image sensor ( It is equipped with a camera) 28.

The sensors 21 to 28 described above are merely examples and are not limited thereto. That is, the sensor unit 20 may be configured to include a part of the sensors 21 to 28, or may include other sensors such as a humidity sensor in addition to or in place of the sensors 21 to 28. ..

The acceleration sensor 21 is, for example, a 3-axis acceleration sensor, and detects the physical movement of the terminal device 10 such as the moving direction, speed, and acceleration of the terminal device 10. The gyro sensor 22 detects the physical movement of the terminal device 10 such as the inclination in the three axial directions based on the angular velocity of the terminal device 10 and the like. The atmospheric pressure sensor 23 detects, for example, the atmospheric pressure around the terminal device 10.

Since the terminal device 10 includes the above-mentioned acceleration sensor 21, gyro sensor 22, pressure sensor 23, etc., technologies such as pedestrian autonomous navigation (PDR: Dead-Reckoning) using each of these sensors 21 to 23, etc. It becomes possible to determine the position of the terminal device 10 by using. This makes it possible to acquire indoor position information, which is difficult to acquire with a positioning system such as GPS.

The air temperature sensor 24 detects, for example, the air temperature around the terminal device 10. The sound sensor 25 detects, for example, the sound around the terminal device 10. The optical sensor 26 detects the illuminance around the terminal device 10. The step sensor 27 detects the number of steps of the user. The image sensor 28 captures an image of the surroundings of the terminal device 10.

The barometric pressure sensor 23, the temperature sensor 24, the sound sensor 25, the optical sensor 26, and the image sensor 28, respectively, detect the barometric pressure, the temperature, the sound, and the illuminance, and capture an image of the surroundings, so that the terminal device 10 It is possible to detect the surrounding conditions of the. This makes it possible to improve the accuracy of the position information of the terminal device 10 from the surrounding conditions of the terminal device 10.

(Control unit 30)
The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM, an input / output port, and various circuits. Further, the control unit 30 may be composed of hardware such as an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 30 includes a transmission unit 31, a reception unit 32, and a processing unit 33.

(Transmission unit 31)
The transmission unit 31 is, for example, various information input by the user using the input unit 13, various information detected by the sensors 21 to 28 mounted on the terminal device 10, and a terminal device positioned by the positioning unit 14. The position information of 10 and the like can be transmitted to the information processing device 100 via the communication unit 11.

(Receiver 32)
The receiving unit 32 can receive various information related to the Web service provided by the information processing device 100 and a request for position information from the information processing device 100 via the communication unit 11.

(Processing unit 33)
The processing unit 33 controls the entire terminal device 10 including the display unit 12 and the like. For example, the processing unit 33 can output various information related to the Web service received by the receiving unit 32 to the display unit 12 and display it.

(Memory unit 40)
The storage unit 40 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), or an optical disk. NS. Various programs, various data, and the like are stored in the storage unit 40.

[4. Information processing device configuration example]
Next, the configuration of the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 5 is a diagram showing a configuration example of the information processing device 100 according to the embodiment. As shown in FIG. 5, the information processing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Further, the communication unit 110 is connected to the network N (see FIG. 3) by wire or wirelessly.

(Memory unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. As shown in FIG. 5, the storage unit 120 includes a user information database 121, a history information database 122, an arrangement information database 123, an action information database 124, a collected information database 125, and an evaluation information database 126. ..

(User information database 121)
The user information database 121 stores various information about the user. For example, the user information database 121 stores various information such as user attributes. FIG. 6 is a diagram showing an example of the user information database 121. In the example shown in FIG. 6, the user information database 121 has items such as "user ID (Identifier)", "age", "gender", "home", "work location", and "interest".

The "user ID" indicates identification information for identifying a user. Further, "age" indicates the age of the user identified by the user ID. The "age" may be a specific age of the user identified by the user ID, for example, 35 years old. Further, "gender" indicates the gender of the user identified by the user ID.

Further, "home" indicates the location information of the user's home identified by the user ID. In the example shown in FIG. 6, "home" is illustrated with an abstract code such as "LC11", but may be latitude / longitude information or the like. Further, for example, "home" may be an area name or an address.

Further, the "work location" indicates the location information of the user's work location (school in the case of a student) identified by the user ID. In the example shown in FIG. 6, the “work location” is illustrated by an abstract code such as “LC12”, but may be latitude / longitude information or the like. Further, for example, the "work location" may be a region name or an address.

Further, "interest" indicates an article or matter that the user identified by the user ID is currently interested in or interested in. For example, "interest" indicates a search query (search keyword) entered by a user into a search engine or the like, a product or service posted on a clicked advertisement, a product or service purchased / used by electronic commerce, or the like. The number of "interests" may be plural.

For example, in the example shown in FIG. 6, the age of the user (user U1) identified by the user ID "U1" is "20's", and the gender is "male". Further, for example, the user (user U1) identified by the user ID "U1" indicates that his / her home is in the position indicated by "LC11". Further, for example, the user (user U1) identified by the user ID "U1" indicates that the work location is in the position indicated by "LC12". Further, for example, the user (user U1) identified by the user ID "U1" indicates that he / she is interested in the article or matter indicated by "interest # 11".

Here, in the example shown in FIG. 6, abstract values such as “U1”, “LC11”, “LC12”, and “interest # 1” are used for illustration, but “U1”, “LC11”, and “LC12”. And "interest # 1" shall store information such as specific character strings and numerical values. Hereinafter, abstract values may also be illustrated in figures relating to other information.

The user information database 121 is not limited to the above, and various information may be stored depending on the purpose. For example, the user information database 121 may store various information about the user's terminal device 10. In addition, the user information database 121 has attributes such as demographic (demographic attribute), psychographic (psychological attribute), geographic (geographical attribute), and behavioral (behavioral attribute) of the user. May remember information about. For example, the user information database 121 includes name, family structure, occupation, position, income, qualification, living style (detached house, apartment, etc.), presence / absence of a car, commuting time, commuting route, commuter pass section (commuter pass section). Stations, routes, etc.), frequently used stations (other than the nearest station to your home / work location), activity history (frequently used location information), lessons (location, time zone, etc.), hobbies, interests, lifestyle, etc. Information may be stored.

(History information database 122)
The history information database 122 stores various information related to the user's log data. An example of the history information database according to the embodiment will be described with reference to FIG. 7. FIG. 7 is a diagram showing an example of a history information database according to the embodiment. In the example shown in FIG. 7, the history information database 122 has "user ID", "location history", "search history", "browsing history", "purchasing history", "posting history", "location area", and "location area". It has items such as "location form".

The "user ID" indicates identification information for identifying a user. Further, the "position history" indicates the history of the user's position. Further, the "search history" indicates the history of the search query entered by the user. In addition, the "browsing history" indicates the history of the content browsed by the user. Further, the "purchase history" indicates the purchase history by the user. In addition, "posting history" indicates the history of postings by users.

In addition, "location area" indicates the area where the user is currently located. In addition, "location form" indicates the location form of the user in the area. For example, "location form" indicates whether the user is a resident living in the area or a visitor visiting the area.

The history information database 122 is not limited to the above, and various information may be stored depending on the purpose. For example, the history information database 122 may store information indicating stores located around the user (stores for which the user can be the target person).

(Arrangement information database 123)
The layout information database 123 according to the embodiment stores various information regarding the layout in the store. FIG. 8 is a diagram showing an example of an arrangement information database according to the embodiment. For example, the placement information database 123 stores information regarding the placement of products sold by the store. The arrangement information database 123 shown in FIG. 8 includes items such as "store ID", "store name", "shelf", "arrangement pattern", and "position".

The "store ID" indicates identification information for identifying the store that is the selling source of the product. Further, the "store name" indicates a specific name or the like of the store identified by the store ID. In the example of FIG. 4, the products are indicated by abstract codes such as "X store", but each store name is a specific store name such as "supermarket S ○○ store" or "convenience store C □□ store". And so on.

“Shelf” refers to a shelf placed in the corresponding store. “Arrangement pattern” indicates an arrangement pattern of goods on the corresponding shelf. In the example of FIG. 8, the arrangement pattern is indicated by an abstract code such as “PT1”, but each arrangement pattern provides information for specifying the number of products to be arranged on the corresponding shelf and the area occupied by each position on the shelf. include. “Position” indicates a position included in the corresponding arrangement pattern. In the example of FIG. 8, the position is indicated by an abstract reference numeral such as “PS1”, but each position includes information associated with information specifying an area occupied on the shelf in the information of the corresponding arrangement pattern. For example, in the arrangement pattern PT1, information of "upper left = position PS1", "upper right = position PS2", "lower left = position PS3", and "lower right = position PS4" is stored, and each position is stored in which part of the shelf. Correspondence is specified.

The layout information database 123 is not limited to the above, and various information may be stored depending on the purpose. For example, the placement information database 123 may store information regarding the staffing in the store as well as the goods placement.

(Behavior information database 124)
The behavior information database 124 according to the embodiment stores various information regarding the behavior of the user in the store. FIG. 9 is a diagram showing an example of the behavior information database according to the embodiment. For example, the behavior information database 124 stores various behavior information collected via the terminal device 10, the log server 200, and the store device 300 of each user. The action information database 124 shown in FIG. 9 includes items such as "user ID", "action ID", "type", "content", and "date and time".

The "user ID" indicates identification information for identifying a user. Further, the "behavior ID" indicates information that identifies the user's behavior. In addition, "type" indicates information regarding the type of behavior of the corresponding user. In addition, "content" indicates the content targeted in the corresponding user's behavior. "Date and time" indicates the date and time when the corresponding user's action was performed. Although the "date and time" is abstractly illustrated as "dt11" or the like, a specific date and time such as "February 15, 2020 14:37:58" may be stored.

For example, in the example of FIG. 9, the user (user U1) identified by the user ID “U1” is identified by the action (behavior AC11) or the action ID “AC12” identified by the action ID “AC11”. Indicates that the user has performed an action (action AC12) or the like. In the example of FIG. 9, it is shown that the user U1 made contact with the product A (action AC11) at the X store at the date and time dt11. Specifically, in the example of FIG. 9, it is shown that the user U1 performed the action of picking up the product A at the X store (behavior AC11) at the date and time dt11. Further, in the example of FIG. 9, it is shown that the user U1 purchased the product A at the X store at the date and time dt12 after picking up the product A at the date and time dt11.

Further, for example, in the example of FIG. 9, it is shown that the user (user U5) identified by the user ID “U5” has performed an action (behavior AC51) identified by the action ID “AC51”. .. In the example of FIG. 9, it is shown that the user U5 made contact with the product B (action AC51) at the X store at the date and time dt51. Specifically, in the example of FIG. 9, it is shown that the user U5 performed the action of picking up the product B (action AC51) at the X store at the date and time dt51.

The behavior information database 124 is not limited to the above, and various information may be stored depending on the purpose. For example, the action information database 124 may store the user's position information when each action information is acquired in association with each action information. Further, FIG. 9 shows a case where the behavior information is stored in the behavior information database 124 for each user ID, but the behavior information is not limited to each user ID and may be stored, for example, in chronological order.

(Collection information database 125)
The collected information database 125 according to the embodiment stores various information extracted as information on which the evaluation calculation is based. FIG. 10 is a diagram showing an example of a collected information database according to the embodiment. For example, the collection information database 125 shows information collected based on various information acquired from the store apparatus 300. Further, for example, the collected information database 125 stores information that is extracted from the behavior information database 124 and is the basis of the collected evaluation calculation. The collected information database 125 shown in FIG. 10 includes items such as "target store", "period", "number of store visits", "target shelf", "layout", "position", "product", and "number of contacts". Is done. For example, the information processing device 100 may acquire information indicating the period during which the product is sold in each layout and the number of store visits during the sale in the layout from the store device 300 of the target store.

In addition, "target store" indicates a store for which information is collected. A store ID or the like may be stored in the "target store". “Period” indicates the period for which the corresponding information is collected. The "number of store visits" indicates the number of users who visited the target store during the corresponding period. In addition, "target shelf" indicates a shelf for which information is collected. “Layout” indicates a layout for which information is collected. In this case, the "layout" indicates the layout of the arrangement of goods on the target shelf during the corresponding information collection period. In the example of FIG. 10, in the period TM1, the layout LT1 is adopted on the shelf SC1 and the products A to D are sold. "Position" indicates a placement position in the corresponding layout. “Product” indicates a product placed at a corresponding position. In addition, the "contact number" indicates the number of users who have contacted the corresponding product during the corresponding period.

For example, in the example of FIG. 10, for the X store which is the target store, the information collected about the sale by the shelf SC1 in each of the period TM1 to the period TM3 is illustrated. For example, it shows that the number of users who visited the X store during the period TM1 is 1000. Further, it is shown that the layout adopted for the shelf SC1 in the period TM1 is the layout LT1.

Further, it is shown that the product A is arranged at the position PS1 in the layout LT1. It is shown that the number of users who have come into contact with the product A arranged at the position PS1 in the period TM1 is 30. Further, it is shown that the product B is arranged at the position PS2 in the layout LT1. It is shown that the number of users who have come into contact with the product B arranged at the position PS2 in the period TM1 is 50.

Further, it is shown that the product C is arranged at the position PS3 in the layout LT1. It is shown that the number of users who have come into contact with the product C arranged at the position PS3 in the period TM1 is five. Further, it is shown that the product D is arranged at the position PS4 in the layout LT1. It is shown that the number of users who have come into contact with the product D arranged at the position PS4 in the period TM1 is 15.

Further, for example, the number of users who visited the X store during the period TM2 is 1000. Further, it is shown that the layout adopted for the shelf SC1 in the period TM2 is the layout LT2.

Further, it is shown that the product B is arranged at the position PS1 in the layout LT2. It is shown that the number of users who have come into contact with the product A arranged at the position PS1 in the period TM2 is 40. Further, it is shown that the product A is arranged at the position PS2 of the layout LT12. It is shown that the number of users who have come into contact with the product A arranged at the position PS2 in the period TM2 is 40.

Further, it is shown that the product C is arranged at the position PS3 in the layout LT1. It is shown that the number of users who have come into contact with the product C arranged at the position PS3 in the period TM2 is five. Further, it is shown that the product D is arranged at the position PS4 in the layout LT1. It is shown that the number of users who have come into contact with the product D arranged at the position PS4 in the period TM2 is 15.

The collected information database 125 is not limited to the above, and various information may be stored depending on the purpose. For example, the collected information database 125 may store information that identifies a user who has contacted each product for each product.

(Evaluation information database 126)
The evaluation information database 126 according to the embodiment stores various information related to the evaluation. The evaluation information database 126 stores various information such as the calculated layout and evaluation of the product. FIG. 11 is a diagram showing an example of the evaluation information database according to the embodiment. The evaluation information database 126 shown in FIG. 11 includes items such as "target store", "layout", "evaluation value", "product", and "evaluation value".

In addition, "target store" indicates a store for which information is collected. A store ID or the like may be stored in the "target store". “Layout” indicates a layout to be evaluated and calculated. In this case, the "layout" stores information corresponding to the information that identifies the layout stored in the collected information database 125. The "evaluation value" indicates an evaluation value (layout evaluation value) of the corresponding layout. “Product” refers to a product sold in the corresponding layout. In addition, the "evaluation value" indicates the evaluation value (product evaluation value) of the product when it is sold in the corresponding layout.

For example, in the example of FIG. 11, the evaluation values for each layout of layout LT1 to layout LT3 based on the information collected at the X store are shown. For example, it is shown that the evaluation value of the layout LT1 in the X store is "2.5".

Further, it is shown that the evaluation value of the product A sold in the layout LT1 is "3". That is, it is shown that the evaluation value of the product A sold at the position PS1 of the shelf SC1 is "3". Further, it is shown that the evaluation value of the product B sold in the layout LT2 is “5”. That is, it is shown that the evaluation value of the product B sold at the position PS2 of the shelf SC1 is "5".

Further, it is shown that the evaluation value of the product C sold in the layout LT1 is "0.5". That is, it is shown that the evaluation value of the product C sold at the position PS3 of the shelf SC1 is "0.5". Further, it is shown that the evaluation value of the product D sold in the layout LT4 is "1.5". That is, it is shown that the evaluation value of the product D sold at the position PS4 of the shelf SC1 is "1.5".

Further, the evaluation information database 126 is not limited to the above, and various information may be stored depending on the purpose. Further, the collected information database 125 and the evaluation information database 126 may be integrated. In this case, for example, the collected information database 125 may store the evaluation values stored in the evaluation information database 126. For example, the collection information database 125 may store the layout evaluation value in association with each layout and store the product evaluation value in association with each combination of each position and the product. In this case, the information processing device 100 does not have to have the evaluation information database 126.

(Control unit 130)
Returning to FIG. 5, the description will be continued. The control unit 130 is a controller, and is an information processing device 100 using, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like. Various programs (corresponding to an example of an information processing program) stored in the internal storage device of the ASIC are executed by executing a storage area such as a RAM as a work area. In the example shown in FIG. 5, the control unit 130 includes an acquisition unit 131, an estimation unit 132, a creation unit 133, an extraction unit 134, a calculation unit 135, a learning unit 136, and a provision unit 137.

(Acquisition unit 131)
The acquisition unit 131 acquires various log data from the log server 200 via the communication unit 110.

The acquisition unit 131 acquires information on the network regarding each region from the log server 200 via the communication unit 110. For example, the acquisition unit 131 acquires the location information of each area from the log server 200. Further, the acquisition unit 131 may acquire, for example, the address of each area from the log server 200 as the name information of each area. In addition, for example, the acquisition unit 131 is on a network related to each region such as temperature, weather, altitude, presence / absence of toilet, presence / absence of roofed place, presence / absence of street light, crime rate, average land price, and census result in each region. Information is acquired from the log server 200.

In addition, the acquisition unit 131 acquires information indicating the behavior of the user on the network, which is related to each region, from the log server 200 via the communication unit 110. The acquisition unit 131 acquires information indicating the behavior of the users located in each area on the network. For example, the acquisition unit 131 acquires a position history, which is a history of the user's position. In addition, the acquisition unit 131 acquires the search history, which is the history of the search query input by the user. In addition, the acquisition unit 131 acquires the browsing history, which is the history of the content browsed by the user. In addition, the acquisition unit 131 acquires a purchase history, which is a purchase history by the user. In addition, the acquisition unit 131 acquires the posting history, which is the history of posting by the user. Subsequently, when the acquisition unit 131 acquires information indicating the behavior of the user on the network, the acquisition unit 131 stores the acquired information in the history information database 122 in association with the user ID. The acquisition unit 131 acquires various types of information in addition to the above-mentioned information. For example, the acquisition unit 131 acquires information on user attributes such as the user's age, gender, family structure, and financial status from the log server 200.

Further, the acquisition unit 131 acquires information on the network regarding the stores located in each area from the log server 200 via the communication unit 110. For example, the acquisition unit 131 acquires information on the network regarding a user who has visited a store located in each area from the log server 200. For example, the acquisition unit 131 acquires information about the store, which is information posted by a user who visits a store located in each area. The acquisition unit 131 acquires information about the store, which is information posted by a user who has visited a store located in each area, based on the posting history acquired from the log server 200. In addition, the acquisition unit 131 acquires information on the locations, average prices (average customer unit prices), and categories of stores located in each region from the log server 200. The acquisition unit 131 acquires various types of information in addition to the above-mentioned information. For example, the acquisition unit 131 acquires information about the store from the log server 200, such as the business hours of the store, the availability of smoking in the store, the availability of eating and drinking, the presence / absence of a toilet, the presence / absence of a roofed place, and the presence / absence of a parking lot.

Further, the acquisition unit 131 acquires various information from an external information processing device such as the terminal device 10, the log server 200, or the store device 300 via the communication unit 110. For example, the acquisition unit 131 indicates information on the layout of the displayed products, which are the products displayed in the store, and the action target products, which are the products on which the user who entered the store has performed a predetermined action among the displayed products. Get information and. In addition, the acquisition unit 131 acquires information indicating the action target product detected by a predetermined sensor arranged in the store.

In addition, the acquisition unit 131 includes information indicating the number of users who have entered the store during a predetermined period and the number of behavioral users who have performed a predetermined action during the predetermined period. And get the information that indicates. In addition, the acquisition unit 131 uses information indicating the number of users entering the store who have entered the store during a predetermined period, and the use of performing a predetermined action on one action target product during the predetermined period. Acquire information indicating the number of behavioral users who are persons. In addition, the acquisition unit 131 acquires information on a plurality of layouts in which the display products are arranged differently, and information indicating an action target product for each of the plurality of layouts.

In addition, the acquisition unit 131 acquires information indicating the action target product that the user has come into contact with. In addition, the acquisition unit 131 acquires information indicating the action target product picked up by the user. In addition, the acquisition unit 131 acquires information indicating the action target product picked up by the user. In addition, the acquisition unit 131 acquires information indicating the action target product purchased by the user. The acquisition unit 131 acquires information indicating an action target product, which is a product in which a user who has entered the store has performed a predetermined action, among the displayed products that are displayed in the store. The acquisition unit 131 acquires information regarding the layout of the displayed products.

(Estimation unit 132)
The estimation unit 132 estimates information about the user based on the information acquired by the acquisition unit 131. For example, the estimation unit 132 estimates the information about the user by using a model that estimates the information about the user based on the information acquired by the acquisition unit 131. In addition, the estimation unit 132 estimates the context of the user's behavior in the area. For example, the estimation unit 132 may estimate the behavior context in the user's area by using a model that estimates the behavior context in the user's area based on the information acquired by the acquisition unit 131.

Further, the estimation unit 132 may estimate the type of the user's behavior based on the user's position history acquired by the acquisition unit 131. For example, the estimation unit 132 estimates the visit location of the user based on the position history of the user acquired by the acquisition unit 131. Subsequently, the estimation unit 132 estimates the user's behavior based on the estimated visit location. For example, the estimation unit 132 estimates that the user has visited the restaurant when the estimated visit location is a restaurant. Further, the estimation unit 132 may estimate the user's behavior based on the purchase history of the user acquired by the acquisition unit 131. For example, the estimation unit 132 identifies the goods or services purchased by the user based on the purchase history of the user acquired by the acquisition unit 131. For example, the estimation unit 132 estimates the user's behavior based on the comparison between the date and time of the user's position history and the date and time of the purchase history. For example, in the estimation unit 132, when the same user is using the restaurant based on the purchase history at the date and time when the user is estimated to have visited the restaurant based on the location history, the user is at the restaurant. You may presume that you have purchased the item.

Further, the estimation unit 132 may calculate the moving speed of the user based on the position history of the user acquired by the acquisition unit 131. Subsequently, the estimation unit 132 may estimate the user's moving means based on the calculated moving speed. For example, the estimation unit 132 estimates that the user is walking in the area when the calculated moving speed is a predetermined speed per hour. Further, when the calculated moving speed exceeds a predetermined speed, the estimation unit 132 estimates that the user has boarded a car in the area. Further, when the estimation unit 132 stays in the same place in a predetermined time zone (for example, 9:00 to 17:00, etc.) based on the position history of the user acquired by the acquisition unit 131. Estimates that the user is working at that location.

In addition, the estimation unit 132 estimates information regarding the interests of the user. For example, the estimation unit 132 estimates the information on the user's interest based on the information acquired by the acquisition unit 131 by using a model for estimating the information on the user's interest.

Further, the estimation unit 132 may estimate the user's field of interest based on the user's search history acquired by the acquisition unit 131. For example, the estimation unit 132 is used when the user has searched for a search query related to the economic field more than a predetermined number of times within a predetermined period based on the search history of the user acquired by the acquisition unit 131. It is presumed that the field of interest of the person is the economic field.

Further, the estimation unit 132 may estimate the user's field of interest based on the browsing history of the user acquired by the acquisition unit 131. For example, if the user has browsed the content related to overseas travel more than a predetermined number of times within a predetermined period based on the browsing history of the user acquired by the acquisition unit 131, the estimation unit 132 uses the user. Is presumed to be interested in traveling abroad.

In addition, the estimation unit 132 estimates the users (residents) who live in each area and the users (visitors) who visited each area based on the position history of the users acquired by the acquisition unit 131. do. In addition, the estimation unit 132 estimates the users (target users) located around each store acquired by the acquisition unit 131. Further, the estimation unit 132 estimates the target resident who is the target person and the resident and the target visitor who is the target person and the visitor. At this time, the estimation unit 132 may function as a specific unit that identifies a resident, a visitor, a target person, a target resident, and a target visitor.

In addition, the estimation unit 132 estimates the number of residents and visitors. In addition, the estimation unit 132 estimates the number of each of the target resident and the target visitor. At this time, the estimation unit 132 may function as a determination unit for determining which of the resident and the visitor (or the target resident and the target visitor) is larger.

(Creation department)
The creation unit 133 estimates the tendency and needs of the users located around each store based on the information acquired by the acquisition unit 131 and the information about the user estimated by the estimation unit 132, and adjusts accordingly. Create a store creation plan that adjusts the arrangement of goods (layout) and staffing (shift) in each store.

For example, the creation department 133 creates a store creation plan that adjusts the arrangement of goods in each store according to the physical concerns (such as back pain) of the majority of users located around each store. ..

In addition, the creation unit 133 creates a store creation plan that adjusts the arrangement of goods in each store according to the rapidly increasing interests and interests of users around each store.

Further, the creation unit 133 creates proposal data regarding the store development plan in order to propose the store development plan to the business operator who operates the store, the store manager, the employee, or the like.

(Extractor 134)
The extraction unit 134 extracts various information. For example, the extraction unit 134 extracts information from various information from the storage unit 120. For example, the extraction unit 134 extracts various information from the user information database 121, the history information database 122, the arrangement information database 123, the behavior information database 124, the collection information database 125, the evaluation information database 126, and the like.

For example, the extraction unit 134 extracts information indicating an action target product that the user has come into contact with from the user's behavior information acquired by the acquisition unit 131. For example, the extraction unit 134 sets various information (calculated evaluation values) as shown in the store information TG1 to the store information TG3 and the evaluation information RL1 to the evaluation information RL3 based on the information acquired from the store device 300 and the terminal device 10. Excludes) may be extracted. Further, the extraction unit 134 may store the extracted information shown in the store information TG1 to the store information TG3 and the evaluation information RL1 to the evaluation information RL3 in the storage unit 120 in association with each of the period TM1 to the period TM3. ..

For example, the extraction unit 134 extracts various information about the X store during the period when the layout LT1 is adopted on the shelf SC1 based on the information stored in the storage unit 120 such as the behavior information storage unit 124. Further, the extraction unit 134 uses X in the period (for example, period TM1 or the like) in which the layout LT1 is adopted on the shelf SC1 from the store apparatus 300 (see FIG. 3) of the X store based on the information stored in the storage unit 120. Extract various information about the store. Further, the extraction unit 134 extracts information indicating the number of times each product is picked up by the user in the layout LT1 and the number of users who have visited the X store based on the information stored in the storage unit 120. Further, the extraction unit 134 extracts information about the X store during the period in which the layout LT1 as shown in the store information TG1 is adopted, based on the information stored in the storage unit 120. In addition, the extraction unit 134 extracts information indicating that the number of users who have visited the X store during the period in which the layout LT1 as shown in the store information TG1 is adopted is 1000.

(Calculation unit 135)
The calculation unit 135 calculates various information. For example, the calculation unit 135 calculates various evaluation information. For example, the calculation unit 135 calculates various evaluation values.

The calculation unit 135 calculates an evaluation value indicating an evaluation regarding the layout based on the information indicating the action target product acquired by the acquisition unit 131. The calculation unit 135 calculates the evaluation value based on the number of users entering the store and the number of behavioral users. The calculation unit 135 calculates an evaluation value for one action target product based on the number of store entry users and the number of action users. The calculation unit 135 calculates the evaluation value for each of the plurality of layouts based on the information indicating the action target product for each of the plurality of layouts acquired by the acquisition unit 131.

(Learning Department 136)
The learning unit 136 inputs information on the layout of the products displayed in the store into the model, and learns the information (evaluation information) based on the evaluation value calculated by the calculation unit 135 as correct answer data.

Any type of model can be adopted as the model. For example, the information processing apparatus 100 may use an SVM (Support Vector Machine) or a DNN (Deep Neural Network) as a model. Here, the DNN may be a CNN (Convolutional Neural Network) or an RNN (Recurrent Neural Network). Further, the RNN may be an LSTM (Long short-term memory) or the like. That is, any type of model can be adopted as the model. Further, the model may be a model realized by combining a plurality of models, for example, a model in which a CNN and an RNN are combined. In this way, the information processing apparatus 100 converts the information on the network into a multidimensional quantity by using a model having an arbitrary structure such as a regression model or a neural network.

The learning is, for example, deep learning (deep learning) using a deep neural network (DNN). Data mining and other machine learning algorithms may also be used. The learning unit 136 learns the model by the various learning methods described above.

Further, the learning unit 136 inputs the information acquired by the acquisition unit 131 into the model for estimating the information about the user, and learns the information about the user as correct answer data. Further, the learning unit 136 inputs the information acquired by the acquisition unit 131 into a model for estimating the behavior context in the user's area, and learns the behavior context in the user's area as correct answer data. At this time, the estimation unit 132 uses these learned models to estimate information about the user and the context of the user's behavior in the area.

(Providing Department 137)
The providing unit 137 provides the proposal data regarding the store building plan to an external information processing device (for example, the store device 300) via the communication unit 110.

Further, the providing unit 137 may provide information (evaluation information) based on the evaluation value calculated by the calculating unit 135 to an external information processing device via the communication unit 110.

Further, the providing unit 137 transmits information indicating that the layout in the store has been changed and information indicating the changed layout to the terminal device 10 of the user located around the store via the communication unit 110. May be provided. In this way, in order to encourage users to come to the store, it is preferable to positively appeal that the convenience of the users has been improved by changing the layout in the store.

[5. Processing procedure]
Next, the processing procedure by the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 12 is a flowchart showing a processing procedure according to the embodiment. The processing procedure shown below is repeatedly executed by the control unit 130 of the information processing apparatus 100.

The control unit 130 of the information processing device 100 acquires information on the network related to each region from the log server 200 via the communication unit 110 (step S101).

The control unit 130 acquires information on the network regarding the stores located in each area from the log server 200 via the communication unit 110 (step S102).

The control unit 130 acquires information on the network regarding a user who has visited a store located in each area via the communication unit 110 (step S103).

The control unit 130 identifies the users (residents) who live in each area and the users (visitors) who visited each area based on the position history of the users acquired from the log server 200. , Identify the users (target users) located around each store (step S104).

The control unit 130 estimates the tendency and needs of the users located around each store based on various information acquired from the log server 200, and arranges the goods (layout) and personnel in each store according to the tendency and needs. Create a store-building plan that adjusts shifts), etc. (step S105).

The control unit 130 creates proposal data related to the store creation plan and transmits it to the store device 300 via the communication unit 110 (step S106).

The control unit 130 acquires information regarding the store in which the layout based on the store creation plan is adopted and the layout in the store via the communication unit 110 (step S107).

The control unit 130 acquires information indicating the number of users (the number of product contact users) who picked up each product in the store where the layout is adopted via the communication unit 110 (step S108).

The control unit 130 calculates the layout evaluation value (layout evaluation value) based on the information indicating the number of users who picked up each product in the store where the layout is adopted (step S109).

[6. Modification example]
The terminal device 10 and the information processing device 100 described above may be implemented in various different forms other than the above-described embodiment. Therefore, a modified example of the embodiment will be described below.

In the above embodiment, the information processing device 100 identifies a user (resident) who lives in the area where the store is located and a user (visitor) who visits the area, but in reality, , The resident and the visitor may not be specified, but only the user (target person) located around the store may be specified. In other words, regardless of the resident and the visitor, the store creation plan is to estimate the tendency and needs of the users who are located around the store at that time, and adjust the arrangement of goods and personnel in each store accordingly. create.

Further, in the above embodiment, the information processing device 100 specifies a user located around the store as a target person, but in reality, the information processing device 100 is not limited to the user located around the store, and the store is not limited to the user. Users who are located in the entire area where the information is located may be specified as the target person. In other words, create a store creation plan that estimates the tendencies and needs of users located not only around the store but throughout the area where the store is located, and adjusts the arrangement of goods and personnel in each store accordingly. do.

Further, in the above embodiment, the information processing device 100 identifies a user (resident) who lives in the area where the store is located and a user (visitor) who visits the area, but actually. May identify users included in the daytime population and users included in the nighttime population, rather than simply resident and visitor. For example, when the area where the store is located is an office district, a commuter town, or the like, the daytime population and the nighttime population are significantly different. Therefore, in the daytime or when the area where the store is located is an office district, the tendency and needs of users included in the daytime population are estimated, and the arrangement of goods and personnel in each store is adjusted accordingly. Create a store building plan. On the contrary, at night or when the area where the store is located is a bed town, etc., the tendency and needs of the users included in the nighttime population are estimated, and the arrangement of goods and personnel in each store is adjusted accordingly. Create a store planning plan to coordinate.

[7. effect〕
As described above, the information processing apparatus 100 according to the present application includes an acquisition unit 131, an estimation unit 132, and a creation unit 133. The acquisition unit 131 acquires information indicating the behavior of the user on the network that is related to the area. The estimation unit 132 estimates information about the user based on the information acquired by the acquisition unit 131. The preparation unit 133 creates a plan for adjusting the arrangement of articles in the facility located in the area based on the information about the user estimated by the estimation unit 132. This makes it possible to support the creation of more appropriate stores.

Based on the information about the user, the creation unit 133 creates a plan in which the articles to be placed on the shelves in the facility are placed at the positions of the shelves according to the user. This makes it possible to support more appropriate shelving allocation.

The preparation unit 133 creates a plan for adjusting the staffing in the facility based on the information about the user. This can support more appropriate staffing.

The estimation unit 132 estimates the target person who is a user located around the facility located in the area based on the information about the user. The preparation unit 133 prepares a plan for adjusting the arrangement of goods in the facility located in the area according to the target person. As a result, it is possible to support the creation of a more appropriate store for users who may visit the store.

Further, the information processing apparatus 100 according to the present application further includes a specific unit and a determination unit. Both the specific unit and the determination unit correspond to the estimation unit 132 in the above embodiment. The specific department identifies the resident who is a user who lives in the area and the visitor who is a user who visited the area based on the information about the user. The determination unit determines whether there are more residents or visitors. This makes it possible to estimate which of the users who have acquired the log data is the resident or the visitor in the area.

If the number of residents is larger than the number of visitors, the preparation unit 133 creates a plan for adjusting the arrangement of goods in the facility located in the area according to the residents. As a result, when the number of residents is large, it is possible to support the creation of stores tailored to the residents.

If the number of visitors is larger than the number of residents, the preparation unit 133 creates a plan for adjusting the arrangement of goods in the facility located in the area according to the visitors. As a result, when the number of visitors is large, it is possible to support the creation of a store tailored to the visitor.

Based on the information about the user, the specific department is the target resident who is a user who lives in the area and is a user who is located around the facility located in the area, and the user who visited the area and is the area. Identify the target visitors who are users located around the facility located in. The determination unit determines which of the target resident and the target visitor is more. As a result, it is possible to estimate which of the target resident and the target visitor is the number of users located around the store.

When the target resident is larger than the target visitor, the preparation unit 133 creates a plan for adjusting the arrangement of the goods in the facility located in the area according to the target resident. As a result, when the target resident is a majority, it is possible to support the creation of a store tailored to the target resident.

When the target visitor is larger than the target resident, the preparation unit 133 creates a plan for adjusting the arrangement of the goods in the facility located in the area according to the target visitor. As a result, when the target visitor is a majority, it is possible to support the creation of a store tailored to the target visitor.

Further, the information processing apparatus 100 according to the present application further includes a providing unit 137. The providing unit 137 provides information regarding the plan created by the creating unit 133 to an external information processing device. As a result, the created store-building plan can be provided to the terminal device or the like on the store side.

Further, the information processing apparatus 100 according to the present application further includes an evaluation unit. The evaluation unit corresponds to the calculation unit 135 in the above embodiment. The evaluation department evaluates the layout of the facility located in the area modified according to the plan. This makes it possible to evaluate the validity of the layout modified according to the plan.

Further, the information processing device 100 according to the present application further includes a learning unit 136. The learning unit 136 inputs information on the layout in the facility into the model, and learns the evaluation result of the layout as correct answer data. As a result, it is possible to create a more appropriate store development plan by reflecting the evaluation result of the layout.

[8. Hardware configuration]
Further, the terminal device 10 and the information processing device 100 according to the above-described embodiment are realized by, for example, a computer 1000 having a configuration as shown in FIG. Hereinafter, the information processing apparatus 100 will be described as an example. FIG. 13 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to the output device 1010 and the input device 1020, and the arithmetic unit 1030, the primary storage device 1040, the secondary storage device 1050, the output I / F (Interface) 1060, the input I / F 1070, and the network I / F 1080 are bused. It has a form connected by 1090.

The arithmetic unit 1030 operates based on a program stored in the primary storage device 1040 or the secondary storage device 1050, a program read from the input device 1020, or the like, and executes various processes. The arithmetic unit 1030 is realized by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like.

The primary storage device 1040 is a memory device that temporarily stores data used by the arithmetic unit 1030 for various calculations, such as a RAM (Random Access Memory). Further, the secondary storage device 1050 is a storage device in which data used by the calculation device 1030 for various calculations and various databases are registered, and is a ROM (Read Only Memory), an HDD (Hard Disk Drive), and an SSD (Solid). State Drive), flash memory, etc. The secondary storage device 1050 may be internal storage or external storage. Further, the secondary storage device 1050 may be a removable storage medium such as a USB memory or an SD (Secure Digital) memory card. Further, the secondary storage device 1050 may be a cloud storage (online storage), NAS (Network Attached Storage), a file server, or the like.

The output I / F 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various information such as a display, a projector, and a printer. For example, USB (Universal Serial Bus) or DVI. (Digital Visual Interface), HDMI (registered trademark) (High Definition Multimedia Interface), etc. are realized by standard connectors. The input I / F 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, keypad, buttons, and a scanner, and is realized by, for example, USB.

Further, the output I / F 1060 and the input I / F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. That is, the output device 1010 and the input device 1020 may be wireless devices.

Further, the output device 1010 and the input device 1020 may be integrated like a touch panel. In this case, the output I / F 1060 and the input I / F 1070 may also be integrated as input / output I / F.

The input device 1020 is, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), or a tape. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like.

The network I / F 1080 receives data from another device via the network N and sends it to the arithmetic unit 1030, and also transmits the data generated by the arithmetic unit 1030 to the other device via the network N.

The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output I / F 1060 and the input I / F 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040, and executes the loaded program.

For example, when the computer 1000 functions as the information processing device 100, the arithmetic unit 1030 of the computer 1000 realizes the function of the control unit 130 by executing the program loaded on the primary storage device 1040. Further, the arithmetic unit 1030 of the computer 1000 may load a program acquired from another device via the network I / F 1080 onto the primary storage device 1040 and execute the loaded program. Further, the arithmetic unit 1030 of the computer 1000 may cooperate with other devices via the network I / F 1080 to call the functions and data of the program from other programs of the other devices and use them.

[9. others〕
Although the embodiments of the present application have been described above, the present invention is not limited to the contents of these embodiments. In addition, the above-mentioned components include those that can be easily assumed by those skilled in the art, those that are substantially the same, that is, those in a so-called equal range. Furthermore, the components described above can be combined as appropriate. Further, various omissions, replacements or changes of the components can be made without departing from the gist of the above-described embodiment.

Further, among the processes described in the above-described embodiment, all or a part of the processes described as being automatically performed can be manually performed, or the processes described as being manually performed can be performed. All or part of it can be done automatically by a known method. In addition, the processing procedure, specific name, and information including various data and parameters shown in the above document and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or part of the device is functionally or physically dispersed / physically distributed in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

For example, the information processing device 100 described above may be realized by a plurality of server computers, or may be realized by calling an external platform or the like by API (Application Programming Interface), network computing, or the like depending on the function. Can be changed flexibly.

Further, the above-described embodiments and modifications can be appropriately combined as long as the processing contents do not contradict each other.

Further, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the acquisition unit can be read as an acquisition means or an acquisition circuit.

1 Information processing system 10 Terminal equipment 100 Information processing equipment 110 Communication unit 120 Storage unit 121 User information database 122 History information database 123 Location information database 124 Behavior information database 125 Collected information database 126 Evaluation information database 130 Control unit 131 Acquisition unit 132 Estimate Department 133 Creation Department 134 Extraction Department 135 Calculation Department 136 Learning Department 137 Providing Department 200 Log Server 300 Store Equipment

Claims (15)

An acquisition department that acquires information indicating the behavior of users on the network that is related to the region,
An estimation unit that estimates information about the user based on the information acquired by the acquisition unit, and an estimation unit.
An information processing device including a creation unit that creates a plan for adjusting the arrangement of articles in a facility located in the area based on the information about the user estimated by the estimation unit. The claim is characterized in that the creating unit creates a plan in which articles to be placed on shelves in the facility are placed at the positions of the shelves according to the user, based on the information about the user. The information processing apparatus according to 1. The information processing apparatus according to claim 1 or 2, wherein the creating unit creates a plan for adjusting the arrangement of personnel in the facility based on the information about the user. Based on the information about the user, the estimation unit estimates the target person who is a user located around the facility located in the area.
The preparation unit according to any one of claims 1 to 3, wherein the preparation unit prepares a plan for adjusting the arrangement of articles in the facility located in the area according to the target person. Information processing device. A specific unit that identifies a resident who is a user who lives in the area and a visitor who is a user who visited the area based on the information about the user.
The information processing device according to any one of claims 1 to 4, further comprising a determination unit for determining which of the resident and the visitor is more. The claim is characterized in that, when the number of residents is larger than the number of visitors, the preparation unit prepares a plan for adjusting the arrangement of articles in the facility located in the area according to the residents. Item 5. The information processing apparatus according to item 5. The claim is characterized in that, when the number of visitors is larger than that of the resident, the preparation unit prepares a plan for adjusting the arrangement of articles in the facility located in the area according to the visitor. Item 5. The information processing apparatus according to item 5 or 6. Based on the information about the user, the specific unit is a target resident who is a user who lives in the area and is a user who is located around a facility located in the area, and a user who visits the area. Identify the target visitor who is a person and a user located around the facility located in the area.
The information processing device according to any one of claims 5 to 7, wherein the determination unit determines which of the target resident and the target visitor is larger. When the target resident is larger than the target visitor, the preparation unit creates a plan for adjusting the arrangement of articles in the facility located in the area according to the target resident. The information processing apparatus according to claim 8. When the target visitor is larger than the target resident, the preparation unit creates a plan for adjusting the arrangement of articles in the facility located in the area according to the target visitor. The information processing apparatus according to claim 8 or 9. The information processing device according to any one of claims 1 to 10, further comprising a providing unit that provides information on the plan created by the creating unit to an external information processing device. The information processing apparatus according to any one of claims 1 to 11, further comprising an evaluation unit for evaluating a layout in a facility located in the area modified according to the plan. The information processing apparatus according to claim 12, further comprising a learning unit for inputting information on the layout in the facility into a model and learning the evaluation result of the layout as correct answer data. It is an information processing method executed by an information processing device.
The acquisition process to acquire information indicating the behavior on the network of users who are related to the area,
An estimation process that estimates information about the user based on the information acquired in the acquisition process, and an estimation process.
An information processing method including a creation step of creating a plan for adjusting the arrangement of goods in a facility located in an area based on the information about the user estimated in the estimation step. Acquisition procedure to acquire information indicating the behavior on the network of users who are related to the area,
An estimation procedure for estimating information about the user based on the information acquired in the acquisition procedure, and an estimation procedure.
An information processing program for causing a computer to perform a creation procedure for creating a plan for adjusting the arrangement of articles in a facility located in an area based on the information about the user estimated by the estimation procedure.

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