JP7368287B2 - Information processing device, information processing method, and information processing program - Google Patents

Description

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

Technology that updates the order quantity in the order planning database using a sales opportunity loss score calculated based on the proportion of products purchased at other retailers than the own retailer, and POS (Point of Sale) A technology has been disclosed for predicting demand for products using sales information, weather information, and local event information obtained from an information management system.

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

However, with the above-mentioned techniques, it may not be possible to create a store appropriately in response to changes in the environment around the store.

For example, with the above-mentioned technology, order planning and demand forecasting are only based on sales at other stores and the own store, as well as weather information and local event information known in advance. It cannot be said that the establishment of stores is supported appropriately according to the trends and needs of users.

This application was made in view of the above, and aims to support the creation of more appropriate stores.

An information processing device according to the present application includes an acquisition unit that acquires information regarding facilities located in a region and log data indicating network behavior of users who have relevance to the region, and information acquired by the acquisition unit. and an estimating unit that estimates the context of the area and the user based on log data; and an estimating unit that estimates the context of the area and the user based on the estimating unit; and a creation unit that creates a plan for adjusting the arrangement of the.

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

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

DESCRIPTION OF THE PREFERRED EMBODIMENTS Below, an information processing apparatus, an information processing method, and a form for implementing an information processing program (hereinafter referred to as an "embodiment") according to the present application will be described in detail with reference to the drawings. Note that the information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. In addition, in the following embodiments, the same parts are given the same reference numerals, and redundant explanations will be omitted.

[1. Overview of information processing method]
First, with reference to FIG. 1, an overview of an information processing method performed by an information processing apparatus according to an embodiment will be described. FIG. 1 is an explanatory diagram showing an overview of an information processing method according to an embodiment. Note that in FIG. 1, an example will be described in which the information processing device 100 supports the creation of an appropriate store in response to changes in the environment around the store.

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 that they can communicate with each other by wire or wirelessly. Note that the information processing system 1 shown in FIG. 1 may include any number of terminal devices 10, any number of information processing devices 100, any number of log servers 200, and store devices 300. .

The terminal device 10 is a smart device such as a smartphone or a tablet used by a user, and is capable of communicating with any server device via a wireless communication network such as 4G (Generation) or LTE (Long Term Evolution). It is a mobile terminal device that can Further, the terminal device 10 has a screen such as a liquid crystal display, which has a touch panel function, and allows a user to perform a tap operation, a slide operation, a scroll operation, etc. using a finger or a stylus, etc. to respond to display data such as content. Accepts various operations. Note that an operation performed on an area of the screen where 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 identified by the user ID "U" is referred to as "user U." That is, when "user U* (* is an arbitrary numerical value)" is written, it indicates that the user is the user specified by the user ID "U*". For example, when "user U1" is written, the user is the 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 user behavior that is related to each region (area). More specifically, the log server 200 acquires log data indicating the actions of users located in each region.

The information processing device 100 is an information processing device that acquires various types of log data from the log server 200 and supports the creation of an appropriate store in response to changes in the surrounding environment of a store such as a retail or service industry. This will be realized using cloud systems, etc.

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

Stores include, 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 restaurant. Note that 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 temporary store temporarily set up within the facility or outdoors. For example, it may be a street stall, a stall, a flea market, etc. Further, the store may be a mobile store (mobile store) using a small truck or the like. Furthermore, the products handled at the store are not limited to sales products, but may also be rental products, travel products, financial products, or information and application forms for various services. Furthermore, the product is not limited to a paid product, but 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 explained using FIG. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. In the example shown in FIG. 1, the log server 200 acquires various types of log data (step S1). Specifically, the log server 200 acquires log data indicating the actions of users located in each region. For example, the log server 200 acquires a location history, which is a history of the user's location, from the terminal device 10. The log server 200 also acquires a search history, which is a history of search queries input by the user, from the search server. The log server 200 also acquires a viewing history, which is a history of content viewed by the user, from the content server. Additionally, the log server 200 acquires a purchase history, which is a history of purchases by users, from the electronic commerce server. Note that the log server 200 may acquire a purchase history, which is a history of purchases made by users using electronic payments at physical stores, from an electronic payment service server. Further, the log server 200 acquires a posting history, which is a history of postings by users, from a posting server or an SNS (Social Networking Service) server that provides a word-of-mouth posting service. Furthermore, the log server 200 can acquire various types of information in addition to the information described above. For example, the log server 200 acquires information regarding user attributes such as the user's age, gender, family structure, and economic situation.

Additionally, the log server 200 acquires information on the network regarding stores located in each region. For example, the log server 200 acquires information on the network regarding users who visited stores located in each region. Specifically, the log server 200 acquires information about stores, which is information posted by users who visited stores located in each region, based on the acquired posting history. The log server 200 also records the location, average price (average price per customer) of stores located in each region, categories (for example, store business categories such as convenience stores and fast food restaurants, and products handled at the store such as coffee and hamburgers). (service categories, etc.) from terminal devices at each store. Furthermore, the log server 200 can acquire various types of information in addition to the information described above. For example, the log server 200 acquires information regarding the store, such as store business hours, whether smoking is allowed in the store, whether there is a restroom, and whether there is a parking lot.

The log server 200 also 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 or absence of a roof, presence or absence of street lights, crime rate, average land price, and census results in each region.

The information processing device 100 acquires various types of log data from the log server 200 (step S2). Specifically, the information processing device 100 acquires information on the network related to each region from the log server 200. More specifically, the information processing device 100 acquires log data on the network indicating the actions of users located in each region from the log server 200. For example, the information processing device 100 acquires a location history, which is a history of the user's location, from the log server 200. The information processing device 100 also acquires a search history, which is a history of search queries input by the user, from the log server 200. The information processing apparatus 100 also acquires a viewing history, which is a history of content viewed by the user, from the log server 200. Further, the information processing device 100 acquires a purchase history, which is a history of purchases by the user, from the log server 200. Furthermore, the information processing apparatus 100 acquires a posting history, which is a history of postings by users, from the log server 200. Note that the information processing apparatus 100 acquires various types of information in addition to the information described above. For example, the information processing device 100 acquires information related to user information such as the user's age, gender, family composition, and economic situation from the log server 200. Furthermore, in reality, it is not necessary to acquire all of the above log data, and it is sufficient to acquire the log data that is scheduled to be used.

The information processing device 100 acquires information on the network regarding stores located in each region from the log server 200. For example, the information processing device 100 acquires information on the network regarding users who visited stores located in each region. Specifically, the information processing device 100 acquires information about stores, which is information posted by users who visited stores located in each region, based on the posting history acquired from the log server 200. Further, the information processing device 100 acquires information regarding the location, average price (average unit price per customer), and category of stores located in each region from the log server 200. Note that the information processing apparatus 100 acquires various types of information in addition to the information described above. For example, the information processing device 100 acquires information about the store from the log server 200, such as the store's business hours, whether smoking is allowed in the store, whether there is a restroom, and whether there is a parking lot.

Note that the information processing device 100 acquires information on the network regarding each region from the log server 200. For example, the information processing device 100 stores information on the network regarding each region, such as temperature, weather, altitude, presence or absence of toilets, presence or absence of a roof, presence or absence of street lights, crime rate, average land price, and census results in each region. is obtained from the log server 200.

Subsequently, upon acquiring various types of log data, the information processing apparatus 100 identifies users who have a relationship with each region, and extracts the log data of the identified users (step S3). Specifically, the information processing device 100 identifies users located in each area based on the user's location history. Furthermore, the information processing device 100 identifies users (residents) who live in each area and users (visitors) who have visited each area based on the user's location history. Next, the information processing device 100 collects log data (resident log data) of each user identified as a user residing in each region, and log data (resident log data) of each user identified as a user who visited each region. visitor log data).

For example, the information processing device 100 identifies users #1, #2, #3, etc. who are located in area #1 based on the location history of the users. Subsequently, the information processing device 100 extracts log data of users #1, #2, #3, etc. who are located in area #1. For example, the information processing device 100 extracts user #1's search history, user #1's browsing history, user #1's purchase history, etc. as user #1's log data. The information processing apparatus 100 also extracts user #2's search history, user #2's browsing history, user #2's purchase history, etc. as user #2's log data. In this way, the information processing device 100 extracts log data of each user located in area #1.

Next, the information processing device 100 identifies users who are likely to visit each store based on log data of users who are associated with each region and information about stores located in each region. , extracts log data of the identified user (step S4). Specifically, the information processing device 100 identifies users (target persons) located around each store based on the user's location history. Subsequently, the information processing device 100 extracts log data (target person log data) of each user identified as a user located around each store. Here, the information processing device 100 stores log data (target resident log data) of each user identified as a user residing in each region and located around each store, and a user visiting each region. The log data (target visitor log data) of each user identified as the user who visited the store and who is located around each store is extracted.

Note that "around the store" is within a predetermined range centered around the store (for example, within a radius of 500 m). Alternatively, it may be a regional mesh that divides the region into meshes of approximately the same size based on latitude and longitude, and may be within the range of the regional mesh that includes the store. Further, it may be a city block or a section of land that includes the store, or it may be within a predetermined range around 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 regarding users located in each region as the context of each region. Furthermore, the information processing device 100 estimates the context of the user's behavior in the region as the user's context. Furthermore, the information processing apparatus 100 estimates information regarding the user's interests as the user's context. For example, the information processing device 100 estimates the context of user #1 who visited area #1 based on the extracted log data of user #1. Thereby, the information processing apparatus 100 can estimate, for example, that the aging of the population is progressing as the context of each region. Further, the information processing device 100 can estimate, as the user's context, that the user is an elderly person with shoulder or lower back pain, for example.

The information processing device 100 estimates the trends and needs of users located around each store based on the estimated context of each region and users, and adjusts the product arrangement (layout) and personnel in each store accordingly. A store development plan for adjusting layout (shifts), etc. is created (step S6). Specifically, the information processing device 100 determines whether residents or visitors account for more users around each store. If it is determined that there are more residents, the information processing device 100 creates a store development plan that meets the demands of the residents. On the other hand, if it is determined that there are more visitors, a store development plan is created that matches the demands of the visitors. At this time, the information processing device 100 takes into account the attributes of the residents and visitors and creates a store development plan that meets the demands of the residents and visitors who have the attribute with the largest number of people.

For example, the information processing device 100 may detect an increase in the number of elderly people around a store due to the aging of the population or an influx of people in the region where the store is located, and the information processing device 100 may detect the shoulders, hips, etc. from search history, posting history, etc. If you suspect that there are many elderly people who are not feeling well, place products for the elderly or products that are in high demand among the elderly in the middle of the display shelf, and place products on the upper shelves that require stretching your arms or back or bending over. A store development plan will be created in which the planogram will be changed to place products that are not in high demand among the elderly in the lower part of the store. In addition, a store development plan will be created to change the layout to suit the flow of elderly people. In addition, heavy products that are difficult for elderly people to carry will either not be stocked or a store development plan will be created to have them delivered to their homes. In addition, a store development plan will be created to change the layout of store-related equipment (for example, store fixtures, and the arrangement of store tables and chairs) to a layout that takes the elderly into consideration. The company will also create a store development plan that will increase the number of people who can support the elderly and place them in key locations within the store.

In addition, the information processing device 100 may be used to store leisure sheets and other information based on the search history, posting history, etc. when many young people are temporarily visiting the area where the store is located from outside the area due to summer vacations, events, etc. If we suspect that there is a sudden increase in searches and posts related to insect repellent spray, we will temporarily change the store planing and layout and place leisure sheets and insect repellent spray at the store entrance and next to the cash register. Create a store development plan. In addition, if it is assumed that there is a sudden increase in searches and posts related to a specific drink or food around the store due to a temporary outbreak of a pandemic, etc., a notice will be placed next to the entrance of the store or next to the cash register for that specific drink. Create a store development plan for arranging stores and food items.

The information processing device 100 creates proposal data regarding a store development 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 more appropriate store creation. In addition, in order to adjust the placement of goods and staff in the store by estimating the customer base and needs around the store from various log data, we are also able to handle the occurrence of sudden events that are not known in advance and the surrounding situation. It is also possible to respond to changes in user demographics and their needs due to sudden changes in the market.

Here, the store development plan is a plan regarding the appropriate arrangement and flow of components in the store. Components include people, products, equipment, warehouses, offices, etc. The fixtures include, for example, store fixtures such as display shelves, store tables and chairs, and the like. The store development plan includes, for example, the items and personnel to be actually placed (or moved), the positions and locations of the items and personnel after placement, the timing and schedule for placing the items and personnel, and the schedule for placing the items and personnel. Contains various information regarding flow lines, etc. Furthermore, the store development plan is not limited to the layout plan and flow line plan for stores in operation, but may be used for store opening plans (new store openings) and renovation plans (store renovations).

[1-2. Evaluation regarding product layout〕
Using FIG. 2, the information processing device 100 determines the layout of displayed products based on the presence or absence of a predetermined behavior of a user with respect to products displayed (displayed products) in a physical store (hereinafter simply referred to as a "store"). An example of calculating an evaluation value indicating evaluation will be described. FIG. 2 is a diagram illustrating an example of layout evaluation according to the embodiment. In addition, in the example of FIG. 2, the case where the user's predetermined action is that the user picks up the product is shown as an example, but the user's predetermined action is the user's action regarding the displayed product. As long as it is an action, it may be various actions such as purchasing.

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

Store device 300 transmits the collected information to information processing device 100. For example, the store device 300 collects information detected by various sensors placed 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 placed 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 placed 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 information identifying the product that the user has touched to the information processing device 100. Further, for example, the store device 300 may analyze the information detected by each sensor and transmit to the information processing device 100 information that identifies the user as well as information that identifies the product that the user has touched. For example, the store device 300 uses various conventional techniques such as image processing and image analysis as appropriate to analyze information detected by an image sensor installed in the store, and analyzes information that identifies the user as well as information that the user has come into contact with. Information specifying the purchased product may be transmitted to the information processing device 100. Note that any device may perform the process of extracting information that identifies the user and information that identifies the product that the user has come into contact with from the information detected by the sensor. For example, the information processing device 100 uses various conventional methods such as image processing and image analysis as appropriate to analyze information acquired from the store device 300 and determine information that identifies the user and products that the user has come into contact with. Specific information may be extracted.

The information processing device 100 stores information regarding the layout of products displayed in the store (displayed products), and information indicating which of the displayed products the user who entered the store performed a predetermined action (action target product). Based on this, an evaluation value regarding the layout is calculated. Further, the information processing device 100 may input information regarding the layout of products displayed in a store to the model, and cause the model to learn information based on the calculated evaluation value (evaluation information) as correct answer data. Further, the information processing device 100 may provide information based on the calculated evaluation value (evaluation information) to an external information processing device. For example, the information processing device 100 may transmit evaluation information of a 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 three layouts corresponding to a predetermined layout pattern of the shelf (shelf SC1) identified by the shelf ID "SC1" provided in the X store. show. The example in FIG. 2 shows a case where the shelf SC1 is divided into four areas and products are displayed in each area (position). 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 device 100 calculates a layout evaluation value for each display pattern in which individual products are displayed at each of the positions PS1 to PS4.

Note that the shelf SC1 is a schematic representation of a display shelf. Shelf SC1 may indicate each shelf (each stage) of a display shelf. Alternatively, 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 calculates an evaluation value by setting the layout (layout LT1) identified by the layout ID "LT1" as the first layout (first layout). As shown in the first layout in FIG. 2, in layout LT1, product A is displayed at position PS1 of shelf SC1, product B is displayed at position PS2 of shelf SC1, and product B is displayed at position PS3 of shelf SC1. Product C is displayed on shelf SC1, and product D is displayed on position PS4 of shelf SC1. For example, layout LT1 corresponds to the first layout adopted on shelf SC1 of store X in period TM1.

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

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

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

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

The information processing device 100 also acquires information indicating that the product C is placed at the position PS3 in the layout LT1. The information processing device 100 also acquires information indicating that the number of users who came into contact with the product C placed at the position PS3 during the period TM1 is five. The information processing device 100 also acquires information indicating that the product D is placed at the position PS4 in the layout LT1. The information processing device 100 also acquires information indicating that the number of users who came into contact with the product D placed at the position PS4 during the period TM1 is 15.

Note that the information processing device 100 may acquire various information (excluding the evaluation value to be calculated) such as the store information TG1 and the evaluation information RL1 from the store device 300 of store The information may be extracted from the information obtained from 10. Further, the information processing device 100 may store information such as 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 an evaluation value (hereinafter also referred to as "layout evaluation value") of the layout LT1 (step S12). First, in the example of FIG. 2, the information processing device 100 uses evaluation values (hereinafter referred to as (also referred to as "product evaluation value").

For example, the information processing device 100 calculates the product of each product based on the value calculated by dividing the number of users who picked up each product (hereinafter sometimes referred to as "number of contacts") by the number of store visits. Calculate the evaluation value. For example, the information processing device 100 calculates the product evaluation value of the product using the following equation (1).

Product evaluation value = Number of contacts / Number of store visits * 100 ... (1)

Note that the element (denominator) by which the number of contacts is divided is not limited to the number of visits to the store, but 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 who picked up the product, but may be the number of users who purchased the product (hereinafter sometimes referred to as "number of purchases"). Further, the number of contacts may be the number of users who visually recognized the product, if information regarding the user's line of sight can be detected by a sensor 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 device 100 may calculate the product evaluation value of the product using the following equations (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)

Note that the above equations (1) to (3) are just examples, and the information processing device 100 may collect information regarding a user who has taken a predetermined action toward a product, such as by picking up the product, or entering a store. The product evaluation value may be calculated using various information as appropriate, such as information regarding users who were likely to take a predetermined action toward the product due to certain reasons. In the following, the information processing device 100 uses equation (1) to calculate the product evaluation value of each product when displayed in the corresponding layout.

In the example of FIG. 2, the information processing device 100 calculates product evaluation values for each of products A to D in the layout LT1, as shown in evaluation information RL1. For example, the information processing device 100 divides the number of contacts of the product A displayed at the position PS1 of the layout LT1 by "30" by the number of store visits "1000", and calculates the number of contacts of the product A displayed at the position PS1 of the layout LT1. Calculate the product evaluation value of. Specifically, the information processing device 100 uses the above equation (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)". It is calculated as follows.

Further, the information processing device 100 calculates the number of contacts of the product B displayed at the position PS2 of the layout LT1 by dividing the number of contacts "50" by the number of store visits "1000". Calculate the product evaluation value of. Specifically, the information processing device 100 uses the above equation (1) to set the product evaluation value of the product B when displayed at the position PS2 of the layout LT1 to "5 (=50/1000*100)". It is calculated as follows.

Further, the information processing device 100 calculates the number of contacts of the product C displayed at the position PS3 of the layout LT1 by dividing the number of contacts "5" by the number of store visits "1000", and calculates the number of contacts of the product C displayed at the position PS3 of the layout LT1. Calculate the product evaluation value of. Specifically, the information processing device 100 uses the above equation (1) to calculate the product evaluation value of the product C when it is displayed at the position PS3 of the layout LT1 as “0.5 (=5/1000*100 )” is calculated.

In addition, the information processing device 100 calculates the number of contacts of the product D displayed at the position PS4 of the layout LT1 by dividing the number of contacts "15" by the number of store visits "1000". Calculate the product evaluation value of. Specifically, the information processing device 100 uses the above equation (1) to set the product evaluation value of the product D when displayed at the position PS4 of the layout LT1 to "1.5 (=15/1000*100 )” is calculated.

Then, the information processing device 100 calculates the evaluation value (layout evaluation value) of the layout LT1 based on the product evaluation values of each of the products A to D displayed at 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 using equation (4) below.

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

Note that 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 to calculate the layout evaluation. In the following, the information processing apparatus 100 calculates a layout evaluation value using equation (4). In the example of FIG. 2, the number of products displayed on the shelf SC1 (displayed products) is "4", so the information processing device 100 calculates the total product evaluation value of products A to D displayed in the layout LT1. The layout evaluation value of layout LT1 is calculated by dividing by the number of displayed products "4".

In the example of FIG. 2, the information processing device 100 calculates the total product evaluation value of products A to D in layout LT1 as "10 (=3+5+0.5+1.5)" as the number of displayed products, as shown in evaluation information RL1. 4'', the layout evaluation value of the layout LT1 is calculated. Specifically, the information processing apparatus 100 uses the above equation (4) to calculate the layout evaluation value of the layout LT1 as "2.5 (=10/4)".

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

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

For example, the information processing device 100 acquires information regarding store X during the period in which layout LT2 was adopted, as shown in store information TG2. In this case, the number of visits to the store 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, the information processing device 100 acquires information indicating that the number of users visiting X store during the period in which layout LT2 was adopted was 1000, as shown in store information TG2.

Further, for example, the information processing device 100 acquires information indicating the number of users who picked up each product during the period in which layout LT2 was adopted, as shown in evaluation information RL2. Here, "layout" in the evaluation information RL2 indicates a layout that is the target of information collection. In this case, the layout is "layout LT2". “Position” indicates the placement position in the corresponding layout. "Product" indicates a product placed at a corresponding position. Further, the "number of contacts" 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 product B is placed at position PS1 in layout LT2. The information processing device 100 also acquires information indicating that the number of users who came into contact with the product B placed at the position PS1 during the period TM2 is 40. The information processing device 100 also acquires information indicating that product A is placed at position PS2 in layout LT2. The information processing device 100 also acquires information indicating that the number of users who came into contact with the product A placed at the position PS2 during the period TM2 is 40.

Furthermore, information indicating that product C is placed at position PS3 in layout LT2 is acquired. The information processing device 100 also acquires information indicating that the number of users who came into contact with the product C placed at the position PS3 during the period TM2 is five. The information processing device 100 also acquires information indicating that the product D is placed at the position PS4 in the layout LT2. The information processing device 100 also acquires information indicating that the number of users who came into contact with the product D placed at the position PS4 during the period TM2 is 15.

Note that the information processing device 100 may acquire various information (excluding the evaluation value to be calculated) such as the store information TG2 and the evaluation information RL2 from the store device 300 of store The information may be extracted from the information obtained from 10. Further, the information processing device 100 may store information such as 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 device 100 calculates the layout evaluation value of the layout LT2 (step S14). In the example of FIG. 2, the information processing device 100 calculates the product evaluation values of each of the products A to D displayed at each position PS1 to PS4 of the layout LT2, as information used to calculate 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 using the above equation (1).

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

In addition, the information processing device 100 calculates the number of contacts for the product A displayed at the position PS2 of the layout LT2 by dividing the number of contacts "40" by the number of visits to the store "1000". Calculate the product evaluation value of. Specifically, the information processing device 100 uses the above equation (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)". It is calculated as follows.

In addition, the information processing device 100 calculates the number of contacts of the product C displayed at the position PS3 of the layout LT2 by dividing the number of contacts "5" by the number of store visits "1000". Calculate the product evaluation value of. Specifically, the information processing device 100 uses the above equation (1) to set the product evaluation value of the product C when displayed at the position PS3 of the layout LT2 to “0.5 (=5/1000*100 )” is calculated.

In addition, the information processing device 100 calculates the number of contacts of the product D displayed at the position PS4 of the layout LT2 by dividing the number of contacts "15" by the number of store visits "1000". Calculate the product evaluation value of. Specifically, the information processing device 100 uses the above equation (1) to set the product evaluation value of the product D when displayed at the position PS4 of the layout LT2 to "1.5 (=15/1000*100 )” is calculated.

Then, the information processing device 100 calculates the layout evaluation value of the layout LT2 based on the product evaluation values of each of the products A to D displayed at 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 using the above equation (4).

In the example of FIG. 2, the number of products (displayed products) displayed on the shelf SC1 is "4", so the information processing device 100 calculates the total product evaluation value of the products A to D displayed in the layout LT2. The layout evaluation value of layout LT2 is calculated by dividing by the number of displayed products "4".

In the example of FIG. 2, the information processing device 100 calculates the total product evaluation value of products A to D in layout LT2 as "10 (=4+4+0.5+1.5)" as the number of displayed products, as shown in evaluation information RL2. 4'', the layout evaluation value of the layout LT2 is calculated. Specifically, the information processing device 100 uses the above equation (4) to calculate the layout evaluation value of the layout LT2 as "2.5 (=10/4)".

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

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

For example, the information processing device 100 acquires information regarding store X during the period in which layout LT3 was adopted, as shown in store information TG3. In this case, the number of visits to the store 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, the information processing device 100 acquires information indicating that the number of users visiting X store during the period in which layout LT3 was adopted was 1000, as shown in store information TG3.

Further, for example, the information processing device 100 acquires information indicating the number of users who picked up each product during the period in which layout LT3 was adopted, as shown in evaluation information RL3. Here, "layout" in the evaluation information RL3 indicates a layout that is a target of information collection. In this case, the layout is "Layout LT3". “Position” indicates the placement position in the corresponding layout. "Product" indicates a product placed at a corresponding position. Further, the "number of contacts" 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 product A is placed at position PS1 in layout LT3. The information processing device 100 also acquires information indicating that the number of users who came into contact with the product A placed at the position PS1 during the period TM3 is 30. The information processing device 100 also acquires information indicating that the product D is placed at the position PS2 in the layout LT3. The information processing device 100 also acquires information indicating that the number of users who came into contact with the product D placed at the position PS2 during the period TM3 is 50.

Furthermore, information indicating that product C is placed at position PS3 in layout LT3 is acquired. The information processing device 100 also acquires information indicating that the number of users who came into contact with the product C placed at the position PS3 during the period TM3 is 10. The information processing device 100 also acquires information indicating that product B is placed at position PS4 in layout LT3. The information processing device 100 also acquires information indicating that the number of users who came into contact with the product B placed at the position PS4 during the period TM3 is 30.

Note that the information processing device 100 may acquire various information (excluding the evaluation value to be calculated) as shown in the store information TG3 and the evaluation information RL3 from the store device 300 of the The information may be extracted from the information obtained from 10. Further, the information processing device 100 may store information such as 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 device 100 calculates the layout evaluation value of the layout LT3 (step S16). In the example of FIG. 2, the information processing device 100 calculates the product evaluation values of each of the products A to D displayed at each position PS1 to PS4 of the layout LT3, as information used to calculate 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 using the above equation (1).

In the example of FIG. 2, the information processing device 100 calculates product evaluation values for each of products A to D in layout LT3, as shown in evaluation information RL3. For example, the information processing device 100 divides the number of contacts of the product A displayed at the position PS1 of the layout LT3 by "30" by the number of store visits "1000", and calculates the number of contacts of the product A displayed at the position PS1 of the layout LT3. Calculate the product evaluation value of. Specifically, the information processing device 100 uses the above equation (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)". It is calculated as follows.

In addition, the information processing device 100 calculates the number of contacts of the product D displayed at the position PS2 of the layout LT3 by dividing the number of contacts "50" by the number of visits to the store "1000". Calculate the product evaluation value of. Specifically, the information processing device 100 uses the above equation (1) to set the product evaluation value of the product D when displayed at the position PS2 of the layout LT3 to "5 (=50/1000*100)". It is calculated as follows.

In addition, the information processing device 100 calculates the number of contacts of the product C displayed at the position PS3 of the layout LT3 by dividing the number of contacts of the product C displayed at the position PS3 of the layout LT3 by the number of visits to the store "1000". Calculate the product evaluation value of. Specifically, the information processing device 100 uses the above equation (1) to set the product evaluation value of the product C when displayed at the position PS3 of the layout LT3 to "1 (=10/1000*100)". It is calculated as follows.

Further, the information processing device 100 calculates the number of contacts of the product B displayed at the position PS4 of the layout LT3 by dividing the number of contacts "30" by the number of store visits "1000". Calculate the product evaluation value of. Specifically, the information processing device 100 uses the above equation (1) to set the product evaluation value of the product B when displayed at the position PS4 of the layout LT3 to "3 (=30/1000*100)". It is calculated as follows.

Then, the information processing device 100 calculates the layout evaluation value of the layout LT3 based on the product evaluation values of each of the products A to D displayed at 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 using the above equation (4).

In the example of FIG. 2, the number of products (displayed products) displayed on the shelf SC1 is "4", so the information processing device 100 calculates the total product evaluation value of the products A to D displayed in the layout LT3. The layout evaluation value of layout LT3 is calculated by dividing by the number of displayed products "4".

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

In the example of FIG. 2, calculation of the layout evaluation values of three layouts LT1 to LT3, which are the first to third layouts, is shown as an example, but the information processing device 100 is configured to calculate the layout evaluation values of the three layouts LT1 to LT3, which are the first to third layouts. A layout evaluation value for each layout is calculated according to the number of layout patterns (types). For example, the information processing device 100 calculates the 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 the layouts LT1 to LT3.

In this way, the information processing device 100 calculates the layout evaluation value of each layout based on the product evaluation value of the products displayed in that layout, thereby making it possible to appropriately calculate the evaluation regarding the product layout in the store. 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. Thereby, the information processing device 100 can calculate a product evaluation value for evaluating each product depending on whether or not the user has performed a predetermined action such as touching the product actually displayed. 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 device 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 calculates the layout evaluation value of the layout LT1 as "2.5". The layout evaluation value of LT3 is calculated as "3". In this case, the information processing apparatus 100 can determine that the layout LT3 with the highest layout evaluation value is the most appropriate layout among the layouts LT1 to LT3.

Note that, in the same way as the evaluation regarding the layout of the products described above, it is also possible to perform an evaluation regarding the personnel allocation within the store. In this case, the above-mentioned "product" shall be read as "personnel", and "product that the user has come into contact with (or purchased)" should be read as "personnel who served (or responded to) the user". Similarly, the "number of contacts (or number of purchases)" should be read as "the number of customers served (or the number of interactions)." Further, "positions PS1 to PS4 of shelf SC1" are read as "positions PS1 to PS4 around shelf SC1". Alternatively, "shelf (shelf SC1) provided in X store and identified by shelf ID "SC1"" is read as "corner (corner SC1) identified by corner ID "SC1" in X store".

[2. Configuration example of information processing system]
Next, the configuration of the information processing system 1 including the information processing apparatus 100 according to the embodiment will be described using FIG. 3. 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 a network N so that they can communicate 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 what is illustrated. For example, in FIG. 3, only one terminal device 10 is shown for simplification of illustration, but this is just an example and is not limited, and there may be two or more terminal devices.

The terminal device 10 is an information processing device used by a user. For example, the terminal device 10 is a smart device such as a smartphone or a 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. , smart glasses, etc.

The terminal device 10 also supports wireless communication networks such as LTE (Long Term Evolution), 4G (4th Generation), and 5G (5th Generation), Bluetooth (registered trademark), and wireless LAN (Local The information processing device 100 can be connected to the network N via short-distance wireless communication such as an area network) and can communicate with the information processing device 100.

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

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

(Communication Department 11)
The communication unit 11 is connected to a network N (see FIG. 3) by wire or wirelessly, and transmits and receives information to and 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 section 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 electro-luminescent display (EL display). Further, the display unit 12 is a touch panel type display, but is not limited to this.

(Input section 13)
The input unit 13 is an input device that accepts various operations from the user. The input unit 13 includes, for example, buttons for inputting characters, numbers, and the like. Further, when the display section 12 is a touch panel display, a part of the display section 12 functions as the input section 13. Note that 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) sent from a GPS (Global Positioning System) satellite, and based on the received signal, determines position information (for example, latitude and longitude). That is, the positioning unit 14 positions the terminal device 10 . Note that GPS is just one example of GNSS (Global Navigation Satellite System).

Further, the positioning unit 14 can measure the position using various methods other than GPS. For example, the positioning unit 14 may use various communication functions of the terminal device 10 to measure the position as an auxiliary positioning means for position correction and the like, as described below.

(Wi-Fi positioning)
For example, the positioning unit 14 positions the terminal device 10 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 performs Wi-Fi communication, etc., and determines the position of the terminal device 10 by measuring the distance to nearby base stations and access points.

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

(geomagnetic positioning)
Furthermore, the positioning unit 14 positions 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, if the terminal device 10 is equipped with an RFID (Radio Frequency Identification) tag function equivalent to a contactless IC card used at station ticket gates, shops, etc., or has a function to read an RFID tag. In this case, the location where the terminal device 10 used the terminal device 10 is recorded together with the information that the payment was made. The positioning unit 14 may measure the position of the terminal device 10 by acquiring such information. Further, the position may be determined by an optical sensor, an infrared sensor, or the like provided in the terminal device 10.

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

(sensor section 20)
The sensor unit 20 includes various sensors installed in the terminal device 10. In the example shown in FIG. 4, the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, an atmospheric pressure sensor 23, an air temperature sensor 24, a sound sensor 25, an optical sensor 26, a step sensor 27, and an image sensor ( camera) 28.

Note that each of the sensors 21 to 28 described above is merely an example and is not limited to the above. That is, the sensor unit 20 may be configured to include a portion of each of the sensors 21 to 28, or may include other sensors such as a humidity sensor in addition to or instead of each of the sensors 21 to 28. .

The acceleration sensor 21 is, for example, a three-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 physical movements of the terminal device 10 such as tilt in three axes directions based on the angular velocity of the terminal device 10 and the like. The atmospheric pressure sensor 23 detects the atmospheric pressure around the terminal device 10, for example.

Since the terminal device 10 is equipped with the above-mentioned acceleration sensor 21, gyro sensor 22, atmospheric pressure sensor 23, etc., it is possible to implement technologies such as pedestrian autonomous navigation (PDR) using these sensors 21 to 23, etc. It becomes possible to measure the position of the terminal device 10 using the . This makes it possible to obtain indoor position information that is difficult to obtain using positioning systems such as GPS.

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

The above-mentioned atmospheric pressure sensor 23, temperature sensor 24, sound sensor 25, optical sensor 26, and image sensor 28 each detect atmospheric pressure, temperature, sound, and illuminance, and capture images of the surroundings, so that the terminal device 10 It is possible to detect the surrounding situation, etc. This makes it possible to improve the accuracy of the location information of the terminal device 10 based on the surrounding situation of the terminal device 10 and the like.

(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, etc., and various circuits. Further, the control unit 30 may be configured with hardware such as an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control section 30 includes a transmitting section 31, a receiving section 32, and a processing section 33.

(Transmission unit 31)
The transmitting unit 31 transmits, for example, various information input by the user using the input unit 13, various information detected by the sensors 21 to 28 installed in the terminal device 10, and the terminal device positioned by the positioning unit 14. 10 can be transmitted to the information processing device 100 via the communication unit 11.

(Receiving unit 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 location 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 types of information related to the Web service received by the receiving unit 32 to the display unit 12 and display the information.

(Storage 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, or a storage device such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), or an optical disk. Ru. The storage unit 40 stores various programs, various data, and the like.

[4. Configuration example of information processing device]
Next, the configuration of the information processing device 100 according to the embodiment will be described using FIG. 5. FIG. 5 is a diagram illustrating 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 section 110, a storage section 120, and a control section 130.

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

(Storage 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, 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, a placement 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 regarding users. 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 includes items such as "user ID (identifier),""age,""gender,""home,""worklocation," and "interest."

"User ID" indicates identification information for identifying a user. Moreover, "age" indicates the age of the user identified by the user ID. Note that the "age" may be a specific age of the user identified by the user ID, such as 35 years old. Furthermore, “gender” indicates the gender of the user identified by the user ID.

Moreover, "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 as an abstract code such as "LC11," but it may also be latitude and longitude information. Furthermore, for example, "home" may be a region name or address.

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

Moreover, "interest" indicates an item or matter in which the user identified by the user ID is currently interested. For example, "interest" indicates a search query (search keyword) entered by the user into a search engine or the like, a product or service posted in an advertisement clicked, a product or service purchased/used through electronic commerce, etc. Note that there may be a plurality of "interests".

For example, in the example shown in FIG. 6, the age of the user (user U1) identified by the user ID "U1" is "20s", and the gender is "male". Further, for example, the user identified by the user ID "U1" (user U1) indicates that his home is located at the location indicated by "LC11". Further, for example, the user identified by the user ID "U1" (user U1) indicates that the work location is at the location 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, the example shown in FIG. 6 is illustrated using abstract values such as "U1", "LC11", "LC12", and "interest #1", but "U1", "LC11", "LC12" It is assumed that information such as specific character strings and numerical values is stored in "Interest #1." Below, abstract values may be illustrated in diagrams related to other information as well.

Note that the user information database 121 is not limited to the above, and may store various information depending on the purpose. For example, the user information database 121 may store various information regarding the user's terminal device 10. The user information database 121 also includes user attributes such as demographics, psychographics, geographics, and behavioral attributes of the users. Information regarding the information may be stored. For example, the user information database 121 includes name, family composition, occupation, position, income, qualifications, residence type (single-family house, condominium, etc.), presence or absence of a car, commuting/commuting time, commuting/commuting route, commuter pass section ( Stations, routes, etc.), frequently used stations (other than the nearest station to home/work), behavioral history (frequently used location information), lessons (location, time of day, etc.), hobbies, interests, lifestyle, etc. information may be stored.

(History information database 122)
The history information database 122 stores various information regarding user log data. An example of the history information database according to the embodiment will be described using FIG. 7. FIG. 7 is a diagram illustrating an example of the history information database according to the embodiment. In the example shown in FIG. 7, the history information database 122 includes "user ID", "location history", "search history", "browsing history", "purchase history", "posting history", "location history", " It has items such as "location type".

"User ID" indicates identification information for identifying a user. Further, "location history" indicates the history of the user's location. Moreover, "search history" indicates the history of search queries input by the user. In addition, "browsing history" indicates the history of content viewed by the user. Moreover, "purchase history" indicates the history of purchases by the user. Moreover, "posting history" indicates the history of postings by users.

Furthermore, the "location area" indicates the area where the user is currently located. Furthermore, the "location type" indicates the user's location type in the area. For example, "location type" indicates whether the user is a resident of the area or a visitor who visited the area.

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

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

“Store ID” indicates identification information for identifying a store that is a sales source that sells a product. Moreover, "store name" indicates the specific name of the store identified by the store ID. In the example in Figure 4, the products are indicated by abstract codes such as "X store", but each store name is a specific store name such as "Super S○○ store", "Convenience store C□□ store", etc. etc.

"Shelf" indicates a shelf placed in the corresponding store. "Arrangement pattern" indicates the arrangement pattern of products on the corresponding shelf. In the example of FIG. 8, the placement patterns are indicated by abstract codes such as "PT1," but each placement pattern includes information that specifies the number of products to be placed 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 positions are indicated by abstract symbols such as "PS1", but each position includes information associated with information specifying the area occupied on the shelf in the information of the corresponding arrangement pattern. For example, in the layout pattern PT1, information such as "Top left = position PS1", "Top right = position PS2", "Bottom left = position PS3", and "Bottom right = position PS4" is stored, and each position corresponds to which part of the shelf. Compatibility is specified.

Note that the arrangement information database 123 is not limited to the above, and may store various information depending on the purpose. For example, the placement information database 123 may store information regarding personnel placement within the store, as well as product placement.

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

"User ID" indicates identification information for identifying a user. Moreover, "behavior ID" indicates information that identifies the user's behavior. Further, "type" indicates information regarding the type of behavior of the corresponding user. Further, "content" indicates the content targeted in the corresponding user's action. "Date and time" indicates the date and time when the corresponding user action was performed. Although the "date and time" is illustrated abstractly such as "dt11", 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 behavior (behavior AC11) identified by the behavior ID "AC11" or the behavior ID "AC12". Indicates that the person has performed an action such as action (action AC12). The example in FIG. 9 shows that the user U1 touched the product A (behavior AC11) at the X store at the date and time dt11. Specifically, the example in FIG. 9 shows that the user U1 performed an action (action AC11) of picking up product A at store X at date and time dt11. Further, the example of FIG. 9 indicates that the user U1 purchased product A at store X at date and time dt12 after picking up product A at date and time dt11.

For example, in the example of FIG. 9, the user (user U5) identified by the user ID "U5" has performed the action (action AC51) etc. identified by the action ID "AC51". . The example in FIG. 9 shows that user U5 touched product B (behavior AC51) at store X at date and time dt51. Specifically, the example in FIG. 9 shows that the user U5 performed an action (action AC51) to pick up product B at store X at date and time dt51.

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

(Collected information database 125)
The collected information database 125 according to the embodiment stores various types of information extracted as information on which evaluation calculations are based. FIG. 10 is a diagram illustrating an example of the collected information database according to the embodiment. For example, the collected information database 125 shows information collected based on various information acquired from the store device 300. Further, for example, the collected information database 125 stores information that is extracted from the behavior information database 124 and is the basis for 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". It will be done. For example, the information processing device 100 may acquire information indicating the period during which products were sold in each layout and the number of customers visiting the store during the sales period in each layout from the store device 300 of the target store.

Moreover, "target store" indicates a store that is a target of information collection. A store ID or the like may be stored in the "target store". "Period" indicates the collection period of the corresponding information. Furthermore, the "number of visits" indicates the number of users who visited the target store during the corresponding period. Furthermore, "target shelf" indicates a shelf that is the target of information collection. "Layout" indicates a layout from which information is collected. In this case, the "layout" indicates the layout of the arrangement of products on the target shelf during the corresponding information collection period. The example in FIG. 10 shows that during period TM1, layout LT1 was adopted on shelf SC1, and products A to D were on sale. “Position” indicates the placement position in the corresponding layout. "Product" indicates a product placed at a corresponding position. Further, the "number of contacts" indicates the number of users who have contacted the corresponding product during the corresponding period.

For example, in the example of FIG. 10, information collected regarding the sales on the shelf SC1 in each of periods TM1 to TM3 for store X, which is the target store, is illustrated. For example, the number of users who visited store X during 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 product A is placed at position PS1 in layout LT1. This shows that the number of users who came into contact with product A placed at position PS1 during period TM1 is 30. It also shows that product B is placed at position PS2 in layout LT1. This indicates that the number of users who came into contact with product B placed at position PS2 during period TM1 is 50.

It also shows that product C is placed at position PS3 in layout LT1. This shows that the number of users who came into contact with the product C placed at position PS3 during period TM1 is five. It also shows that product D is placed at position PS4 in layout LT1. This shows that the number of users who came into contact with the product D placed at position PS4 during period TM1 is 15.

Further, for example, the number of users who visited store X during 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 product B is placed at position PS1 in layout LT2. This shows that the number of users who came into contact with product A placed at position PS1 during period TM2 is 40. Further, it is shown that product A is placed at position PS2 of layout LT12. This indicates that the number of users who came into contact with product A placed at position PS2 during period TM2 is 40.

It also shows that product C is placed at position PS3 in layout LT1. This shows that the number of users who came into contact with the product C placed at position PS3 during period TM2 is five. It also shows that product D is placed at position PS4 in layout LT1. This shows that the number of users who came into contact with product D placed at position PS4 during period TM2 is 15.

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

(Evaluation information database 126)
The evaluation information database 126 according to the embodiment stores various information regarding evaluation. The evaluation information database 126 stores various information such as calculated layouts and evaluations regarding products. FIG. 11 is a diagram illustrating 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,""evaluationvalue,""product," and "evaluation value."

Moreover, "target store" indicates a store that is a target of information collection. A store ID or the like may be stored in the "target store". “Layout” indicates a layout to be evaluated. In this case, "layout" stores information corresponding to information that specifies the layout stored in the collected information database 125. "Evaluation value" indicates the evaluation value (layout evaluation value) of the corresponding layout. "Product" indicates a product sold in the corresponding layout. Further, the "evaluation value" indicates the evaluation value of the product (product evaluation value) when sold in the corresponding layout.

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

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

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

Furthermore, the evaluation information database 126 is not limited to the above, and may store various information 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 collected information database 125 may store layout evaluation values in association with each layout, and store product evaluation values in association with each combination of position and product. In this case, the information processing device 100 does not need to have the evaluation information database 126.

(Control unit 130)
Returning to FIG. 5, the explanation will be continued. The control unit 130 is a controller, and controls the information processing device 100 using, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), or an FPGA (Field Programmable Gate Array). This is achieved by executing various programs (corresponding to an example of an information processing program) stored in an internal storage device using 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 types of 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 location information for each area from the log server 200. Further, the acquisition unit 131 may acquire, for example, the address of each region from the log server 200 as the name information of each region. For example, the acquisition unit 131 also acquires information on the network regarding each region, such as temperature, weather, altitude, presence or absence of toilets, presence or absence of a roof, presence or absence of street lights, crime rate, average land price, and census results in each region. Information is acquired from the log server 200.

In addition, the acquisition unit 131 acquires from the log server 200, via the communication unit 110, information indicating the network behavior of users associated with each region. The acquisition unit 131 acquires information indicating the network behavior of users located in each region. For example, the acquisition unit 131 acquires a location history that is a history of the user's location. The acquisition unit 131 also acquires a search history that is a history of search queries input by the user. The acquisition unit 131 also acquires a viewing history that is a history of content viewed by the user. Further, the acquisition unit 131 acquires a purchase history that is a history of purchases by the user. The acquisition unit 131 also acquires a posting history that is a history of postings by users. Subsequently, upon acquiring information indicating the user's behavior on the network, the acquiring unit 131 stores the acquired information in the history information database 122 in association with the user ID. Note that the acquisition unit 131 acquires various types of information in addition to the information described above. For example, the acquisition unit 131 acquires information regarding user attributes such as the user's age, gender, family composition, and economic situation from the log server 200.

The acquisition unit 131 also acquires information on the network regarding stores located in each area from the log server 200 via the communication unit 110. For example, the acquisition unit 131 acquires from the log server 200 information on the network regarding users who visited stores located in each region. For example, the acquisition unit 131 acquires information about stores, which is information posted by users who visited stores located in each region. The acquisition unit 131 acquires information about stores, which is information posted by users who visited stores located in each region, based on the posting history acquired from the log server 200. The acquisition unit 131 also acquires information regarding the location, average price (average unit price per customer), and category of stores located in each region from the log server 200. Note that the acquisition unit 131 acquires various types of information in addition to the information described above. For example, the acquisition unit 131 acquires information about the store from the log server 200, such as business hours of the store, whether smoking is allowed in the store, whether eating and drinking is allowed in the store, whether there is a restroom, whether there is a covered area, whether there is a parking lot, etc.

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

The acquisition unit 131 also obtains information indicating the number of in-store users who have entered the store in a predetermined period, and the number of behavioral users who have performed a predetermined action in a predetermined period. Obtain information indicating. In addition, the acquisition unit 131 obtains information indicating the number of in-store users who have entered the store in a predetermined period, and information indicating the number of in-store users who have entered the store in a predetermined period, and users who have performed a predetermined action on one action target product in a predetermined period. information indicating the number of behavioral users who are active users. Further, the acquisition unit 131 acquires information regarding a plurality of layouts in which displayed products are arranged differently, and information indicating an action target product for each of the plurality of layouts.

Further, the acquisition unit 131 acquires information indicating the action target product that the user has contacted. Further, the acquisition unit 131 acquires information indicating the action target product picked up by the user. Further, the acquisition unit 131 acquires information indicating the action target product picked up by the user. Further, 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 for which a user who entered the store performed a predetermined action, among displayed products that are products displayed at the store. The acquisition unit 131 acquires information regarding the layout of displayed products.

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

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 estimating unit 132 estimates the location visited by the user based on the user's position history acquired by the acquiring unit 131. Next, the estimation unit 132 estimates the user's behavior based on the estimated visited places. For example, if the estimated visited place is a restaurant, the estimation unit 132 estimates that the user visited a restaurant. Further, the estimation unit 132 may estimate the user's behavior based on the user's purchase history acquired by the acquisition unit 131. For example, the estimating unit 132 identifies products or services purchased by the user based on the user's purchase history acquired by the acquiring unit 131. For example, the estimation unit 132 estimates the user's behavior based on a comparison between the date and time of the user's location history and the date and time of the purchase history. For example, if 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 estimating unit 132 determines that the user is It may be assumed that the product has been purchased.

Further, the estimation unit 132 may calculate the user's moving speed based on the user's position history acquired by the acquisition unit 131. Subsequently, the estimating unit 132 may estimate the means of transportation of the user based on the calculated travel speed. For example, if the calculated moving speed is a predetermined speed per hour, the estimation unit 132 estimates that the user is walking in the area. Furthermore, if the calculated moving speed exceeds a predetermined speed, the estimating unit 132 estimates that the user has boarded a car in that area. Furthermore, based on the user's location history acquired by the acquisition unit 131, the estimation unit 132 calculates whether the user stays at the same place during a predetermined time period (for example, from 9:00 to 17:00, etc.). assume that the user works at that location.

Furthermore, the estimating unit 132 estimates information regarding the user's interests. For example, the estimating unit 132 estimates information regarding the user's interests based on the information acquired by the acquiring unit 131 using a model for estimating information regarding the user's interests.

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, based on the user's search history acquired by the acquisition unit 131, if the user has searched for a search query related to the economic field a predetermined number of times or more within a predetermined period, the estimation unit 132 determines that It is assumed that the person's field of interest is economics.

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

Furthermore, the estimation unit 132 estimates users (residents) living in each area and users (visitors) who have visited each area based on the user's location history acquired by the acquisition unit 131. do. Furthermore, the estimation unit 132 estimates users (target persons) located around each store acquired by the acquisition unit 131. Further, the estimation unit 132 estimates a target resident who is a target person and a resident, and a target visitor who is a target person and a visitor. At this time, the estimating unit 132 may function as a specifying unit that specifies a resident, a visitor, a target person, a target resident, and a target visitor.

Furthermore, the estimation unit 132 estimates the number of residents and visitors. Furthermore, the estimating unit 132 estimates the number of target residents and target visitors. At this time, the estimation unit 132 may function as a determination unit that determines whether there are more residents or visitors (or target residents or target visitors).

(Creation Department)
The creation unit 133 estimates the trends and needs of users located around each store based on the information acquired by the acquisition unit 131 and the information about the users estimated by the estimation unit 132, and generates information according to the trends and needs of users located around each store. Create a store development plan that adjusts the product placement (layout) and personnel assignment (shifts) within each store.

For example, the creation unit 133 creates a store development plan that adjusts the arrangement of items in each store depending on the physical concerns (back pain, etc.) of the majority of users located around each store. .

In addition, the creation unit 133 creates a store development plan for adjusting the arrangement of items within each store in accordance with the products that are rapidly increasing in interest and interest from users around each store.

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

(Extraction unit 134)
The extraction unit 134 extracts various information. For example, the extraction unit 134 extracts information from various types of information from the storage unit 120. For example, the extraction unit 134 extracts various information from the user information database 121, history information database 122, placement information database 123, behavior information database 124, collected information database 125, evaluation information database 126, and the like.

For example, the extraction unit 134 extracts, from the user behavior information acquired by the acquisition unit 131, information indicating the behavior target product that the user has contacted. For example, based on the information acquired from the store device 300 and the terminal device 10, the extraction unit 134 extracts various information (e.g., the evaluation value to be calculated) as shown in store information TG1 to store information TG3 and evaluation information RL1 to evaluation information RL3. ) may be extracted. Further, the extraction unit 134 may store information such as the extracted store information TG1 to store information TG3 and evaluation information RL1 to evaluation information RL3 in the storage unit 120 in association with each of the periods TM1 to TM3. .

For example, the extraction unit 134 extracts various information regarding the X store during the period when the layout LT1 was adopted on the shelf SC1, based on information stored in the storage unit 120 such as the behavior information storage unit 124. Further, based on the information stored in the storage unit 120, the extraction unit 134 extracts the Extract various information regarding the store. Furthermore, based on the information stored in the storage unit 120, the extraction unit 134 extracts information indicating the number of times each product was picked up by a user in the layout LT1 and the number of users who visited the X store. Furthermore, based on the information stored in the storage unit 120, the extraction unit 134 extracts information regarding the X store during the period in which the layout LT1 as shown in the store information TG1 was adopted. Further, the extraction unit 134 extracts information indicating that the number of users who visited the X store during the period when the layout LT1 as shown in the store information TG1 was adopted was 1000 people.

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

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

Note that any type of model can be adopted as the model. For example, the information processing apparatus 100 may employ SVM (Support Vector Machine) or 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 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, such as a model combining CNN and RNN. In this way, the information processing apparatus 100 converts information on a network into a multidimensional quantity using a model having an arbitrary structure, such as a regression model or a neural network.

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

Furthermore, the learning unit 136 inputs the information acquired by the acquisition unit 131 into a model that estimates information about the user, and causes the model to learn the information about the user as correct data. Further, the learning unit 136 inputs the information acquired by the acquisition unit 131 into a model that estimates the context of the user's behavior in the region, and causes the model to learn the context of the user's behavior in the region as correct data. At this time, the estimation unit 132 uses these learned models to estimate information regarding the user and the context of the user's behavior in the area.

(Providing Department 137)
The providing unit 137 provides proposal data regarding the store development 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 sends information indicating that the layout in the store has been changed and information indicating the changed layout to the terminal devices 10 of users located around the store, via the communication unit 110. may be provided. In this way, in order to encourage users to visit the store, it is preferable to actively emphasize that convenience for users has been improved by changing the layout within the store.

[5. Processing procedure]
Next, a processing procedure by the information processing apparatus 100 according to the embodiment will be described using FIG. 12. FIG. 12 is a flowchart showing the processing procedure according to the embodiment. Note that the processing procedure shown below is repeatedly executed by the control unit 130 of the information processing device 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 stores located in each region from the log server 200 via the communication unit 110 (step S102).

The control unit 130 acquires, via the communication unit 110, information on the network regarding users who visited stores located in each region (step S103).

The control unit 130 identifies users (residents) who live in each area and users (visitors) who visited each area based on the user's location history obtained from the log server 200. , users (target persons) located around each store are identified (step S104).

The control unit 130 estimates the trends and needs of users located around each store based on various information acquired from the log server 200, and adjusts the product arrangement (layout) and personnel arrangement ( A store development plan for adjusting shifts (shifts), etc. is created (step S105).

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

The control unit 130 acquires, via the communication unit 110, information regarding the store in which the layout based on the store development plan has been adopted and the layout within the store (step S107).

The control unit 130 acquires, via the communication unit 110, information indicating the number of users who picked up each product (the number of users who came into contact with the product) at the store where the layout was adopted (step S108).

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

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

In the above embodiment, the information processing device 100 identifies users (residents) who live in the area where the store is located and users (visitors) who visited the area. Instead of specifying residents and visitors, only users (target persons) located around the store may be specified. In other words, we estimate the trends and needs of the users around the store at the time, regardless of whether they are residents or visitors, and create a store development plan that adjusts the distribution of goods and personnel within each store accordingly. create.

Further, in the above embodiment, the information processing device 100 specifies users located around the store as target users, but in reality, the information processing device 100 is not limited to users located around the store; Users who are located in the entire area where is located may be specified as target users. In other words, we estimate the trends and needs of users not only in the area surrounding the store, but in the entire area where the store is located, and create a store development plan that adjusts the distribution of goods and personnel within each store accordingly. do.

Furthermore, in the above embodiment, the information processing device 100 identifies users (residents) who live in the area where the store is located and users (visitors) who visited the area. Instead of simply identifying residents and visitors, users included in the daytime population and users included in the nighttime population may be identified. For example, if the area where the store is located is an office district, commuter town, etc., the daytime population and nighttime population are significantly different. Therefore, during the daytime or if the area where the store is located is an office district, we estimate the trends and needs of users included in the daytime population, and adjust the distribution of goods and personnel within each store accordingly. Create a store development plan. On the other hand, when operating at night or in areas where stores are located in commuter towns, we estimate the trends and needs of users included in the nighttime population, and adjust the arrangement of goods and personnel within each store accordingly. Create a store development plan to be adjusted.

[7. effect〕
As described above, the information processing device 100 according to the present application includes an acquisition section 131, an estimation section 132, and a creation section 133. The acquisition unit 131 acquires information indicating the actions of users on the network that are related to the region. The estimation unit 132 estimates information regarding the user based on the information acquired by the acquisition unit 131. The creation unit 133 creates a plan for adjusting the arrangement of items in facilities located in the area, based on the information regarding the users estimated by the estimation unit 132. This makes it possible to support more appropriate store creation.

The creation unit 133 creates a plan in which items to be placed on shelves within the facility are placed at positions on the shelves according to the users, based on information regarding the users. This makes it possible to support more appropriate planograms.

The creation unit 133 creates a plan for adjusting the placement of personnel within the facility based on information regarding users. This can support more appropriate personnel allocation.

The estimating unit 132 estimates a target person who is a user located around a facility located in a region, based on information regarding the user. The creation unit 133 creates a plan for adjusting the arrangement of items in facilities located in the area, according to the target person. This makes it possible to support the creation of a more appropriate store, targeting users who may visit the store.

Further, the information processing device 100 according to the present application further includes a specifying section and a determining section. Both the identifying unit and the determining unit correspond to the estimating unit 132 in the above embodiment. The identification unit identifies residents, who are users who live in the area, and visitors, who are users who visited the area, based on information about the users. The determination unit determines whether there are more residents or visitors. This makes it possible to estimate whether among the users who have acquired log data, there are more residents or visitors to the area.

When there are more residents than visitors, the creation unit 133 creates a plan for adjusting the arrangement of items in facilities located in the area according to the residents. As a result, if the majority of residents are residents, it is possible to support the creation of stores tailored to the residents.

When there are more visitors than residents, the creation unit 133 creates a plan for adjusting the arrangement of items in facilities located in the area according to the number of visitors. As a result, if the number of visitors is the majority, it is possible to support store creation tailored to the number of visitors.

Based on the information about users, the identification section identifies target residents who live in the area and are located around facilities located in the area, and users who visited the area and are located in the area. Identify target visitors who are users located around the facility located in The determination unit determines whether there are more target residents or target visitors. This makes it possible to estimate whether there are more users around the store, target residents or target visitors.

If there are more target residents than target visitors, the creation unit 133 creates a plan for adjusting the arrangement of items in facilities located in the area according to the target residents. As a result, if the target residents are in the majority, it is possible to support the creation of stores tailored to the target residents.

If there are more target visitors than target residents, the creation unit 133 creates a plan for adjusting the arrangement of items in facilities located in the area according to the target visitors. As a result, if the target visitors are the majority, it is possible to support store creation tailored to the target visitors.

Furthermore, the information processing device 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. Thereby, the created store development plan can be provided to a terminal device or the like on the store side.

Furthermore, the information processing device 100 according to the present application further includes an evaluation section. The evaluation section corresponds to the calculation section 135 in the above embodiment. The evaluation department evaluates the layout within the facility located in the area that has been changed according to the plan. This makes it possible to evaluate the validity of the layout changed according to the plan.

Furthermore, the information processing device 100 according to the present application further includes a learning section 136. The learning unit 136 inputs information regarding the layout within the facility to the model, and causes the model to learn the layout evaluation results as correct data. This makes it possible to create a more appropriate store development plan by reflecting the layout evaluation results.

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

The arithmetic unit 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and performs various processes. The arithmetic device 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 such as a RAM (Random Access Memory) that temporarily stores data used by the calculation device 1030 for various calculations. Further, the secondary storage device 1050 is a storage device in which data used by the arithmetic unit 1030 for various calculations and various databases are registered, and includes a ROM (Read Only Memory), an HDD (Hard Disk Drive), and an SSD (Solid Disk Drive). This is realized using flash memory, etc. The secondary storage device 1050 may be a built-in storage or an 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), a 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 the output device 1010 that outputs various information such as a display, a projector, and a printer. (Digital Visual Interface) and HDMI (registered trademark) (High Definition Multimedia Interface). Further, the input I/F 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, keypad, button, scanner, etc., and is realized by, for example, a USB or the like.

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, output device 1010 and input device 1020 may be wireless devices.

Moreover, 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 an input/output I/F.

Note that the input device 1020 is, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or 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.

Network I/F 1080 receives data from other devices via network N and sends it to computing device 1030, and also sends data generated by computing device 1030 to other devices via network N.

Arithmetic device 1030 controls output device 1010 and input device 1020 via output I/F 1060 and input I/F 1070. For example, the arithmetic device 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 functions of the control unit 130 by executing a program loaded onto the primary storage device 1040. Further, the arithmetic device 1030 of the computer 1000 may load a program obtained from another device via the network I/F 1080 onto the primary storage device 1040, and execute the loaded program. Furthermore, the arithmetic unit 1030 of the computer 1000 may cooperate with other devices via the network I/F 1080, and may call and use program functions, data, etc. from other programs of other devices.

[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. Furthermore, the above-mentioned components include those that can be easily assumed by those skilled in the art, those that are substantially the same, and those that are in a so-called equivalent range. Furthermore, the aforementioned components can be combined as appropriate. Furthermore, various omissions, substitutions, or modifications of the constituent elements can be made without departing from the gist of the embodiments described above.

Further, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. All or part of this can also be performed automatically using known methods. In addition, information including the processing procedures, specific names, and various data and parameters shown in the above documents and drawings may be changed arbitrarily, unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

Furthermore, each component of each device shown in the drawings is functionally conceptual, and does not necessarily need to be physically configured as shown in the drawings. In other words, the specific form of distributing and integrating each device is not limited to what is shown in the diagram, and all or part of the devices can be functionally or physically distributed or integrated in arbitrary units depending on 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 depending on the function, it may be realized by calling an external platform etc. using an API (Application Programming Interface), network computing, etc. can be changed flexibly.

Furthermore, the above-described embodiments and modifications can be combined as appropriate within a range that does not conflict with the processing contents.

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

1 Information processing system 10 Terminal device 100 Information processing device 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 Estimation Department 133 Creation Department 134 Extraction Department 135 Calculation Department 136 Learning Department 137 Provision Department 200 Log Server 300 Store Device

Claims (15)

an acquisition unit that acquires information regarding facilities located in the region and log data indicating network actions of users associated with the region;
an estimation unit that estimates the region and the context of the user based on the information and log data acquired by the acquisition unit;
Information characterized by comprising: a creation unit that creates a plan for adjusting the arrangement of items in a facility located in the area based on the area and the context of the user estimated by the estimation unit; Processing equipment. The creation unit creates, based on the region and the user 's context , a plan in which items to be placed on the shelves in the facility are placed at shelf positions according to the user 's context. The information processing device according to claim 1. The information processing device according to claim 1 or 2, wherein the creation unit creates a plan for adjusting the arrangement of personnel within the facility based on the region and the user 's context . The estimation unit estimates a target person who is a user located around a facility located in the area based on the location history of the user,
According to any one of claims 1 to 3, the creation unit creates a plan for adjusting the arrangement of items in a facility located in the area according to the target person. Information processing device. an identification unit that identifies residents, who are users who live in the area, and visitors, who are users who visited the area, based on the location history of the users;
The information processing device according to any one of claims 1 to 4, further comprising: a determination unit that determines whether there are more residents or more visitors. A claim characterized in that, when the number of residents is greater than the number of visitors, the creation unit creates a plan for adjusting the arrangement of items within a facility located in the area in accordance with the number of residents. Item 5. Information processing device according to item 5. Claim characterized in that, when the number of visitors is greater than the number of residents, the creation unit creates a plan for adjusting the arrangement of items in facilities located in the area according to the number of visitors. The information processing device according to item 5 or 6. The identification unit identifies target residents who are users who live in the area and are located around facilities located in the area, and the area based on the context of the area and the user. Identifying target visitors who are users who visited and are 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 residents and the target visitors is more numerous. When the number of target residents is greater than the number of target visitors, the creation unit is configured to create a plan for adjusting the arrangement of items in a facility located in the area in accordance with the target residents. The information processing device according to claim 8. The creation unit is characterized in that when the number of target visitors is greater than the number of target residents, the creation unit creates a plan for adjusting the arrangement of items within a facility located in the area in accordance with the target visitors. The information processing device 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 regarding 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 that evaluates a layout within a facility located in the area that has been changed according to the plan. The information processing device according to claim 12, further comprising: a learning unit that inputs information regarding a layout within the facility to a model and causes the model to learn an evaluation result of the layout as correct data. An information processing method executed by an information processing device, the method comprising:
an acquisition step of acquiring information regarding facilities located in the region and log data indicating network actions of users associated with the region;
an estimation step of estimating the context of the region and the user based on the information and log data acquired in the acquisition step;
and a creation step of creating a plan for adjusting the arrangement of items in a facility located in the region based on the region and the context of the user estimated in the estimation step. Processing method. an acquisition procedure for acquiring information regarding facilities located in a region and log data indicating network actions of users associated with the region;
an estimation step of estimating the region and the user 's context based on the information and log data acquired in the acquisition step;
a creation step for creating a plan for adjusting the placement of items in a facility located in the region based on the region and the user 's context estimated in the estimation step; and information for causing a computer to execute the following steps. Processing program.

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