Store rental support device, store rental support method, and program

Abstract

To provide a technique for supporting rental of a space to a business operator.SOLUTION: A store rental support device includes: acquisition means which acquires action information of a customer on at least one of a display device and a commodity shelf installed in a store and rented out to a lessee business operator, and used by the lessee business operator to display commodities; detection means which detects a response of the customer to each of at least one area of the display device and the commodity shelf on the basis of the action information of the customer; evaluation means which evaluates whether the response to each of the areas is favorable or not on the basis of the detection results; determination means which determines a use condition for each of the areas on the basis of the determined responses; and output means which outputs the use condition.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present disclosure relates to a store lending support device, a store lending support method, and a program.

Background Art

[0002] There is a next-generation store service for selling products by installing a next-generation store housing in a store, which includes a signage for displaying product-related information and enabling product purchases on the Internet, and a display shelf for displaying product samples. In the next-generation store service, the store where the next-generation store housing is installed lends part or all of the next-generation store to another operator.

[0003] In the next-generation store service or the like, when lending a next-generation store or the like to another operator, the lending store desires to lend it to an operator with a high contribution degree to the lender or the like.

[0004] Patent Document 1 describes a technique for ranking each store using the evaluation value of each store and the contribution degree according to the profit amount of each store in a facility having a shared space where multiple stores open.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0006] Here, in order to lend the next-generation store to an operator with a high contribution degree to the lender or the like, there is a need to appropriately set usage conditions such as usage fees related to the lending of the next-generation store.

[0007] An example of the object of the present disclosure is to provide a technique for supporting the lending of space to an operator.

Means for Solving the Problem

[0008] A store lending support device according to an aspect of the present disclosure is installed in a store and lent to a borrowing business operator, and acquisition means for acquiring customer operation information regarding at least one of a display device and a product shelf on which the borrowing business operator displays products; detection means for detecting a customer's reaction to each of at least one area of the display device and the product shelf based on the customer's operation information; determination means for determining whether the reaction to each area is good or bad based on the detection result; determination means for determining the usage conditions for each area based on whether the reaction is good or bad; and output means for outputting the usage conditions.

[0009] A store lending support method according to an aspect of the present disclosure is a method in which a computer acquires customer operation information regarding at least one of a display device and a product shelf that is installed in a store and lent to a borrowing business operator and on which the borrowing business operator displays products, detects a customer's reaction to each of at least one area of the display device and the product shelf based on the customer's operation information, determines whether the reaction to each area is good or bad based on the detection result, determines the usage conditions for each area based on whether the reaction is good or bad, and outputs the usage conditions.

[0010] A program according to an aspect of the present disclosure causes a computer to execute a process of acquiring customer operation information regarding at least one of a display device and a product shelf that is installed in a store and lent to a borrowing business operator and on which the borrowing business operator displays products, detecting a customer's reaction to each of at least one area of the display device and the product shelf based on the customer's operation information, determining whether the reaction to each area is good or bad based on the detection result, determining the usage conditions for each area based on whether the reaction is good or bad, and outputting the usage conditions.

[0011] Each program may be stored in a non-transitory computer-readable recording medium.

Advantages of the Invention

[0012] One example of the effect according to the present disclosure is that it can assist in lending space to businesses.

Brief Description of the Drawings

[0013]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Modes for Carrying Out the Invention

[0014] Embodiments of the present disclosure will be described in detail with reference to the drawings.

[0015] FIG. 1 is a diagram showing an example of the configuration of a system including the store lending support device 100 of the present disclosure.

[0016] In FIG. 1, the store lending support device 100 is a device that supports lending to a borrowing business operator of product display means installed in a store. The store lending support device 100 acquires operation information of customers on the product display means installed in the store, determines usage conditions of the next-generation store housing according to the reaction of the customers, and outputs the determined usage conditions.

[0017] In FIG. 1, the store lending support device 100 is connected to the next-generation store housing 10, a camera, and a terminal device of the lending source business operator.

[0018] In FIG. 1, the next-generation store housing 10 is an example of a product display means. The next-generation store housing 10 will be described later. The product display means is a means for displaying products and the like. The product display means is at least one of a shelf for arranging products and a display device for displaying information regarding the products. The product display means is installed in a store. In the present disclosure, in particular, it is assumed that part or all of the product display means installed in the store is lent to another operator different from the operator who operates the store. For example, the product display means is used by another operator different from the operator who operates the store to promote and sell products different from the products normally handled in the store. The operator who borrows the product display means displays products and the like on the product display means.

[0019] The camera is an example of a means for collecting the operation information of customers on the product display means. In FIG. 1, the camera is installed outside the product display means, but the camera may be provided on the product display means.

[0020] The terminal device of the lending source operator is a terminal device used by the person in charge of managing the next-generation store housing 10 in the lending source operator. The terminal device only needs to be one that allows the person in charge of managing the next-generation store housing 10 in the lending source operator to confirm the usage conditions determined by the store lending support device 100. The terminal device may be, for example, a smartphone, a personal computer, a tablet, etc., but is not limited to these examples.

[0021] Next, the next-generation store housing 10 will be described.

[0022] FIG. 2 is an example of the configuration of the next-generation store housing 10. In FIG. 2, the next-generation store housing 10 includes a display device 11, a product shelf 12, and a camera 13.

[0023] The display device 11 includes a display unit that displays information about products and information about the lessee business operator that leases the next-generation store housing 10. The display unit of the display device 11 includes one or more display areas. For example, in FIG. 2, the display unit of the display device 11 includes four display areas (display area A, display area B, display area C, and display area D).

[0024] In addition, the display unit of the display device 11 may include a touch panel. In this case, the display device 11 may display more detailed information and the like in response to a touch operation by a customer or the like.

[0025] The product shelf 12 is a shelf that displays products and POPs (Point Of Purchase) on which information about the products is described. The product shelf 12 includes one or more display areas. For example, in FIG. 2, the product shelf 12 includes three product shelf areas (product shelf area A, product shelf area B, and product shelf area C).

[0026] Note that the products displayed on the product shelf 12 may be sample products for display only, or may be products actually sold.

[0027] In the next-generation store housing 10, any combination of the display area and the product shelf area, only the display area, or only the product shelf area may be leased to the lessee business operator. The lessee business operator pays a fee to the lessor business operator to lease at least a part of the display area and the product shelf area and display products. Settlement for the sale of the displayed products and delivery of the products may be performed in the next-generation store housing 10, or may be performed on a sales web site accessible using a two-dimensional code or the like shown in the next-generation store housing 10.

[0028] The configurations such as the size and position of the display device 11 and the product shelf 12 in the next-generation store housing 10 are not limited to the example of FIG. 2. Also, the size and number of the display areas in the display device 11 and the size and number of the product shelf areas in the product shelf 12 are not limited to the example of FIG. 2. Also, the number of display areas and the number of product shelf areas may be the same or different.

[0029] The camera 13 is a camera that captures an image of the periphery of the next-generation store housing 10, which is an example of customer movement information. The image is an image of customers around the next-generation store housing 10. As described above, the camera 13 may be provided inside the next-generation store housing 10 or outside the next-generation store housing 10 as shown in FIG. 1.

[0030] Although the next-generation store housing 10 has been described so far, in the present disclosure, the merchandise display means for which the store lending support device determines the usage conditions is not limited to the next-generation store housing including the display device and the merchandise shelves. In the present disclosure, the merchandise display means may be only a display device, may be a merchandise shelf, or may be a combination of a display device and a merchandise shelf that are separate housings.

[0031] Next, the configuration of the store lending support device 100 in the embodiment will be described.

[0032] FIG. 3 is a block diagram showing an example of the functional configuration of the store lending support device 100. Referring to FIG. 2, the store lending support device 100 includes an acquisition unit 101, a detection unit 102, a determination unit 103, a decision unit 104, and an output unit 105.

[0033] Next, the configuration of the store lending support device 100 in the first embodiment will be described in detail.

[0034] In FIG. 3, the acquisition unit 101 is an example of acquisition means for acquiring customer movement information regarding at least one of the display device and the merchandise shelves.

[0035] At least one of the display device and the merchandise shelf is the above-described merchandise display means. The merchandise display means is installed in the store. Here, the merchandise display means may be installed inside the store or around the store. Also, the merchandise display means is lent to the lessee business operator and is a means for the lessee business operator to display merchandise. The merchandise display means is managed by the lessor business operator. The lessor business operator is, for example, a business operator that operates the store where the merchandise display means is installed.

[0036] Customer action information is information indicating the actions of the customer with respect to the merchandise display means. For example, the customer action information may be an image of a customer around the merchandise display means taken by a camera. In this case, the acquisition unit 101 may acquire the image from the camera. Also, for example, the customer action information may be the operation history of a display device having a touch panel among the merchandise display means. In this case, the acquisition unit 101 may acquire the customer's operation history from the display device. The operation history may be information indicating the buttons selected by a person such as a customer on the touch panel. Also, the operation history may be information indicating an image enlarged or reduced by a person such as a customer on the touch panel.

[0037] Note that the customer action information may be at least one of the image and the operation history of the customer's touch panel.

[0038] Next, the detection unit 102 is an example of detection means for detecting the customer's reaction to each of at least one area of the display device and the merchandise shelf based on the customer action information. The area of the display device and the area of the merchandise shelf may be regarded as one area that the lessee business operator uses, or may be a predefined area.

[0039] The customer's reaction indicates whether the customer is interested in the merchandise display means and how interested the customer is in the merchandise display means. The customer's reaction is the action and emotion of the customer with respect to at least one of the display device and the merchandise shelf.

[0040] For example, the detection unit 102 detects the actions and emotions of customers based on the video of the customers around the product display means. The detection unit 102 may detect these customer reactions using a known method for detecting the actions of a person using the video.

[0041] An example of the customer reaction detected by the detection unit 102 will be described. For example, the customer reaction is an action of the customer looking at the product display means. The detection unit 102 detects, for example, using the video, which area of the product display means the customer has looked at by detecting the line of sight or the orientation of the face. The detection unit 102 may detect that the customer has looked at the product display means when the customer performs an action of looking at the product display means continuously for a predetermined time such as 3 seconds or more. Also, the detection unit 102 may detect how much area of the product display means the customer has looked at. The degree may be, for example, the time the customer has looked at the product display means, or whether the customer has turned their body towards the product display means, or whether the customer has stayed in front of the product display means.

[0042] Also, for example, the customer reaction is an action of the customer trying to look more closely at the exhibit displayed on the product display means. The action of the customer trying to look more closely at the exhibit displayed on the product display means is, for example, an action of touching the exhibit. The action of the customer touching the exhibit is, for example, an action of operating the display device or an action of picking up the product displayed on the product shelf. Also, the action of the customer trying to look more closely at the exhibit displayed on the product display means may be the reading of a two-dimensional code or the like for displaying information about the product, which is displayed on the display device or the product shelf. The detection unit 102 may detect access to the two-dimensional code or the like by detecting the action of the customer in the video holding a terminal device such as a smartphone in front of the two-dimensional code of the customer.

[0043] Also, for example, the customer's reaction may be an action of purchasing a product sold in the store where the product display means is installed by a customer who has reacted to the product display means. The detection unit 102 may track a customer who has reacted to the product display means in the video captured inside the store and detect whether the customer who has reacted to the product display means has purchased a product in the store. A known method may be used for tracking a person in the video.

[0044] Also, for example, the customer's reaction may be a change in the expression of a customer who has taken an action with respect to the product display means. The detection unit 102 may detect the expression of a customer who has taken an action with respect to the product display means from the video using a known method.

[0045] Also, the detection unit 102 may detect the customer's reaction using the customer's motion information other than the video.

[0046] For example, the detection unit 102 may detect the customer's reaction based on the operation history of a display device that is a touch panel among the product display means. The detection unit 102 may detect an operation of operating the display device, which is an action of a customer trying to view in more detail an exhibit displayed by the product display means, based on the operation history. Also, for example, the detection unit 102 may detect an action of a customer purchasing a product displayed by the product display means based on the operation history.

[0047] Further, for example, the detection unit 102 may detect the customer's reaction based on the access history to the two-dimensional code displayed on the product display means. For example, the detection unit 102 may detect that the customer has accessed the two-dimensional code based on the access history to the two-dimensional code. Further, the detection unit 102 may detect that the customer has registered a product as a favorite product or has purchased a product on the website accessed by the two-dimensional code based on the operation history on the website accessed by the two-dimensional code displayed on the product display means. In these cases, the acquisition unit 101 may acquire the access history to the two-dimensional code displayed on the product display means and the operation history on the website accessed by the two-dimensional code displayed on the product display means from a server or the like that provides the website.

[0048] The customer's reaction and the customer's action information are not limited to these examples. Further, the detection unit 102 may detect one or more of the various customer reactions described above.

[0049] Note that the detection unit 102 may further detect the attributes of the customers who have reacted to the product display means. For example, the detection unit 102 detects the attributes of the customers who have reacted to the product display means based on the information input by the customers among the video or the operation history of the display device.

[0050] Next, the determination unit 103 is an example of a determination means for determining whether the customer's reaction to each of at least one of the display device and the product shelf is good or bad based on the detection result of the detection unit 102.

[0051] Whether the customer's reaction is good or bad may be determined, for example, by the customer's interest in the product display means and the contribution of the product display means to the store. The contribution of the product display means to the store is the profit brought to the store by installing the product display means. The profit brought to the store by installing the product display means is, for example, an increase in customer traffic and sales.

[0052] The determination unit 103 may determine whether the customer's reaction is good or bad not only in two stages of whether the customer's reaction is good or not, but also in multiple stages, or may be determined by a numerical value indicating good or bad. For example, the determination unit 103 determines whether the customer's reaction is good or bad using a determination criterion for the customer's reaction detected by the detection unit 102. The determination criterion may be determined in advance or may be determined according to the statistics of the customer's reaction. Also, the determination criterion may be determined for each area. The determination criterion determined for each area may be determined according to, for example, the size or position of the area.

[0053] For example, the determination unit 103 may determine whether the customer's reaction is good or bad using the number of customers who reacted to the product display means. For example, the determination unit 103 determines that the customer's reaction is better as the number of customers who reacted to the product display means is larger.

[0054] Also, the determination unit 103 may determine whether the customer's reaction is good or bad using the attributes of the customers who reacted to the product display means. For example, the determination unit 103 may determine whether the customer's reaction is good or bad using the number of customers with a specific attribute among the customers who reacted to the product display means. In this case, the specific attribute for which the determination unit 103 makes a determination of good or bad reaction may be, for example, an attribute that the store wants to attract customers, and may be determined as appropriate. Also, for example, the determination unit 103 may determine whether the customer's reaction is good or bad using the similarity between the ratio of the attributes of the customers who reacted to the product display means and the ratio of the attributes that are the determination criterion. In this case, the determination unit 103 may determine that the customer's reaction is better as the similarity is higher. Note that the ratio of the attributes that is the determination criterion may be, for example, the ratio of the attributes that attracted customers to the store, and may be determined as appropriate.

[0055] Further, the determination unit 103 may determine whether the customer's reaction is good or bad according to the customer's actions with respect to the product display means. For example, the determination unit 103 may determine whether the customer's reaction is good or bad based on the presence or absence and the number of a specific one of the customer's actions with respect to the product display means. Also, for example, the determination unit 103 may determine whether the customer's reaction is good or bad based on the presence or absence and the number of a plurality of types of the customer's actions with respect to the product display means. In this case, for example, the determination unit 103 may calculate the magnitude of the customer's reaction by summing the values obtained by multiplying weights for each of the plurality of the customer's actions. The weights may be set, for example, according to the magnitude of the customer's interest in the product display means for each action. Also, in this case, the determination unit 103 may determine that the greater the calculated value, the better the customer's reaction. The order of the customer's actions that are presumed to have a greater interest in the product display means may be, for example, in the order of greater interest, the action of the customer purchasing the product, the action of the customer touching the exhibit of the product display means, the action of the customer staying in front of the product display means, the action of the customer turning the body towards the product display means, the action of the customer turning the face towards the product display means, the action of the customer directing the line of sight towards the product display means, and the like. The weights indicating the magnitude of the interest in the product display means for each of the customer's actions may be appropriately determined according to such an order.

[0056] Further, the determination unit 103 may determine whether the reaction is good or bad according to the fact that a customer who has reacted to the product display means has purchased a product sold in the store where the product display means is installed. The product sold in the store is a product different from the product displayed or sold in the product display means. For example, the determination unit 103 may determine that the better the customer's reaction, the greater the number of customers who have reacted to the product display means and have purchased the product sold in the store where the product display means is installed. Also, the determination unit 103 may determine that the better the customer's reaction, the greater the amount of the product sold in the store where the product display means is installed that the customer who has reacted to the product display means has purchased. Thereby, it can be determined that the customer's reaction is good, indicating that installing the product display means in the store has had a positive effect on the store's sales.

[0057] In addition, the determination unit 103 may determine whether the customer's reaction is good or bad according to the change in the customer's expression with respect to the product display means. For example, the determination unit 103 may determine that the better the customer's reaction is, the larger the number of customers with good expression changes. A good expression means, for example, a smiling face or a serious-looking expression.

[0058] In addition, the determination unit 103 may determine whether the customer's reaction is good or bad by using a learned model that has learned the customer's motion information acquired by the acquisition unit 101 or the customer's reaction detected by the detection unit 102 and whether the customer's reaction is good or bad. When the determination unit 103 determines whether the customer's reaction is good or bad by using a learned model that has learned the customer's motion information acquired by the acquisition unit 101 and whether the customer's reaction is good or bad, the detection unit 102 may not be provided.

[0059] Although an example of the method for determining whether the customer's reaction is good or bad has been described, the method for determining whether the customer's reaction is good or bad is not limited to these examples, and how to determine that a customer's reaction is good may be determined as appropriate.

[0060] The decision unit 104 is an example of a decision means for determining the usage conditions for at least one area each of the display device and the product shelf based on whether the reaction determined by the determination unit 103 is good or bad.

[0061] The usage conditions are the conditions when the borrowing destination business operator uses the product display means. The usage conditions may be, for example, the conditions when newly lent out or the conditions when updating the usage. The conditions when updating the usage are determined for each borrowing destination business operator. The conditions when newly lent out are, for example, the usage fee. In addition, the conditions when updating the usage may be the priority of the update, the presence or absence of the right to update, the usage fee at the time of update, the period during which update is possible, the size and position of the area at the time of update, and the like.

[0062] First, an example of determining the conditions when newly lending out will be described. For example, the determination unit 104 may determine the conditions when a region is newly lent out so that the better the customer's reaction to at least one of the display device and the merchandise shelf, the better the conditions for the lender business operator. For example, the determination unit 104 may determine a higher usage fee for a region with a good customer reaction and a lower usage fee for a region with a poor customer reaction. Thereby, since it is considered that the demand is high in the region where the customer's reaction is easily obtained, the determination unit 104 can set usage conditions according to the demand.

[0063] For example, the determination unit 104 may determine the conditions when newly lending out by referring to a table that defines the relationship between the goodness or badness of the reaction and the conditions when newly lending out. Also, for example, the determination unit 104 may determine the conditions when newly lending out using a learned model that has learned the goodness or badness of the reaction and the conditions when newly lending out.

[0064] Next, an example of determining the conditions when updating the usage will be described.

[0065] For example, the determination unit 104 may determine the conditions when updating the usage so that the better the customer's reaction to at least one of the display device and the merchandise shelf, the better the conditions for the borrower business operator. Also, for example, the determination unit 104 may determine the conditions when updating the usage so that the worse the customer's reaction to at least one of the display device and the merchandise shelf, the better the conditions for the borrower business operator.

[0066] In an example of determining conditions when updating usage, whether to offer favorable or unfavorable conditions to the lessee business operator according to the quality of the customer's response may be determined for each type of usage condition. For example, the usage fee at the time of update, the priority of the update, the presence or absence of the right to update, and the period during which the update is possible may be determined to be favorable conditions for the lessee business operator when the customer's response is good, and the size and location of the area at the time of update may be determined to be favorable conditions for the lessee business operator when the customer's response is bad, but it is not limited to these examples.

[0067] For example, the determination unit 104 may determine the conditions when updating usage by referring to a table that defines the relationship between the quality of the response and the conditions when updating usage. Also, for example, the determination unit 104 may determine the conditions when updating usage by using a learned model that has learned the quality of the response and the conditions when updating usage.

[0068] The output unit 105 is an example of output means that outputs the usage conditions determined by the determination unit 104. The output unit 105 may output the conditions when newly leased for each area. Also, the output unit 105 may output the conditions when updating usage for each lessee business operator. The output unit 105 outputs the determined usage conditions to, for example, a database that manages usage conditions, the terminal device of the lessor business operator, or the terminal device of the lessee business operator that borrows part or all of the product display means. The output method by the output unit 105 is, for example, recording in a database or the like, display on a display device, or voice output to a voice output device, but it is not limited to these examples.

[0069] Also, the output unit 105 may output the customer's response and the quality of the customer's response used in determining the usage conditions together with each usage condition.

[0070] FIG. 4 is a diagram showing an example of an output screen that outputs conditions when updating the usage for each borrower business operator. The output screen in FIG. 4 is an example of the output to the terminal device of the lender business operator by the output unit 105. As described above, the output screen includes, as usage conditions, the usage fee at the time of update and the priority of the update. Further, as described above, the output screen includes information indicating the customer's reaction to the current exhibition. Further, the output screen includes, as information for identifying the borrower business operator, the business operator ID (Identifier) of the borrower business operator and the name of the borrower business operator. Further, the output screen includes, as the current state of the borrower business operator, the products on display and the lending status indicating the area being lent out.

[0071] The operation of the store lending support device 100 configured as described above will be described with reference to the flowchart of FIG. 5.

[0072] As shown in FIG. 5, first, the acquisition unit 101 acquires the operation information of the customer with respect to at least one of the display device and the product shelf on which the borrower business operator displays the product (step S101).

[0073] Next, the detection unit 102 detects the customer's reaction to each area of at least one of the display device and the product shelf based on the customer's operation information (step S102).

[0074] Next, the determination unit 103 determines whether the reaction to each area of at least one of the display device and the product shelf is good or bad based on the detection result in step S102 (step S103).

[0075] Next, the determination unit 104 determines the usage conditions for each area of at least one of the display device and the product shelf based on whether the reaction determined in step S103 is good or bad (step S104).

[0076] Then, the output unit 105 outputs the usage conditions determined in step S104 (step S105).

[0077] With the above, the store lending support device 100 finishes a series of operations.

[0078] The store lending support device in the above-described embodiment includes an acquisition unit, a detection unit, a determination unit, a decision unit, and an output unit. The acquisition unit is installed in a store, lent to a borrowing business operator, and acquires customer operation information regarding at least one of a display device and a product shelf on which the borrowing business operator displays products. The detection unit detects a customer's reaction to each area of at least one of the display device and the product shelf based on the customer operation information. The determination unit determines whether the reaction to each area is good or bad based on the detection result. The decision unit determines usage conditions for each area based on whether the reaction is good or bad. The output unit outputs the usage conditions.

[0079] As a result, the store lending support device in this embodiment can support the lending of space to business operators. For example, the store lending support device in this embodiment can more appropriately set usage conditions such as usage fees for lending next-generation store enclosures installed in stores.

[0080] [Modification Example] When determining conditions for updating usage, the decision unit 104 may use information regarding the presence or absence of a borrowing business operator who wishes to use at least one of the display device and the product shelf.

[0081] For example, the decision unit 104 may determine conditions when newly lending according to the presence or absence of a borrowing business operator who wishes to use at least one of the display device and the product shelf. For example, when there are many borrowing business operators who wish to use at least one of the display device and the product shelf, the decision unit 104 may determine conditions when newly lending so as to be favorable conditions for the lending source business operator. Also, for example, when there are few borrowing business operators who wish to use at least one of the display device and the product shelf, the decision unit 104 may determine conditions when newly lending so as to be favorable conditions for the borrowing business operator.

[0082] Further, for example, the determination unit 104 may determine whether to offer good or bad terms to the lending destination operator according to the customer's reaction, depending on whether there is a lending destination operator who wishes to use at least one of the display device and the merchandise shelf. For example, when there is a lending destination operator who wishes to use at least one of the display device and the merchandise shelf, the determination unit 104 may determine better terms for the lending source operator as the customer's reaction is better. Also, for example, when there is no lending destination operator who wishes to use at least one of the display device and the merchandise shelf, the determination unit 104 may determine better terms for the lending destination operator as the customer's reaction is better.

[0083] In determining the conditions when updating the usage, by using information on whether there is a lending destination operator who wishes to use at least one of the display device and the merchandise shelf, it becomes possible to determine usage conditions according to the demand for the merchandise display means. For example, even if the customer's reaction to the area of the lending destination operator currently borrowing the merchandise display means is not good, if there is no other lending destination operator to borrow from, it may be better for the lending source operator to have the current lending destination operator continue borrowing. Conversely, if the customer's reaction to the area of the lending destination operator currently borrowing the merchandise display means is not good and there is another lending destination operator to borrow from, the lending source operator may want to lend to a lending destination operator with a good customer reaction. Thus, the determination unit 104 can make a more appropriate determination of the usage conditions according to the demand for the merchandise display means by using information on whether there is a lending destination operator who wishes to use the merchandise display means in determining the conditions when updating the usage.

[0084] [Hardware Configuration] Part or all of each component of each device or system in each embodiment of the present disclosure described above is realized by an arbitrary combination of, for example, an information processing apparatus 1000 and a program as shown in FIG. 6. The information processing apparatus 1000 includes, as an example, the following configuration.

[0085] ·CPU (Central Processing Unit) 1001 ·ROM (Read Only Memory) 1002 ·RAM (Random Access Memory) 1003 · Program 1004 loaded into RAM 1003 · Storage device 1005 that stores program 1004 · Drive device 1007 that reads and writes to recording medium 1006 · Communication I / F 1008 connected to communication network 1009 · Input / output I / F 1010 for inputting and outputting data · Bus 1011 connecting each component Note that I / F is an abbreviation for Interface.

[0086] Each component of each device or system in each embodiment is realized by the CPU 1001 acquiring and executing a program that realizes these functions. The program that realizes the functions of each component of each device is stored, for example, in advance in the storage device 1005 or the RAM 1003, and is read by the CPU 1001 as needed. Note that the program 1004 may be supplied to the CPU 1001 via the communication network, or may be stored in advance in the recording medium 1006, and the drive device 1007 may read the program and supply it to the CPU 1001.

[0087] There are various variations in the method of realizing each device. For example, each device or system may be realized by an arbitrary combination of separate information processing devices 1000 and programs for each component. Also, a plurality of components provided in each device may be realized by an arbitrary combination of one information processing device 1000 and a program.

[0088] Also, some or all of the components of each device or system are implemented by general-purpose or dedicated circuitry including a processor or the like, or a combination thereof. The circuitry is, for example, a CPU, a GPU (Graphics Processing Unit), an FPGA (Field Programmable Gate Array), or an LSI (Large Scale Integration) for AI (Artificial Intelligence) processing. These may be constituted by a single chip or may be constituted by a plurality of chips connected via a bus. Some or all of the components of each device may be implemented by a combination of the above-described circuitry or the like and a program.

[0089] When some or all of the components of each device or system are implemented by a plurality of information processing devices, circuitry, etc., the plurality of information processing devices, circuitry, etc. may be centrally arranged or may be distributed. For example, the information processing devices, circuitry, etc. may be implemented in a form in which each is connected via a communication network, such as a client-server system or a cloud computing system.

[0090] As described above, the present disclosure has been described with reference to each embodiment, but the present disclosure is not limited to the above embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure.

[0091] Also, although a plurality of operations are described in order in the form of a flowchart, the described order does not limit the order of executing the plurality of operations. Therefore, when implementing each embodiment, the order of the plurality of operations may be changed as long as there is no problem in terms of content.

[0092] Some or all of the above embodiments may be described as follows in the appended claims, but are not limited thereto.

[0093] [Appended Note 1] An acquisition means that is installed in a store and lent to a borrower business operator, and acquires customer operation information regarding at least one of a display device and a product shelf on which the borrower business operator displays products; A detection means that detects the customer's reaction to each of at least one area of the display device and the product shelf based on the customer's operation information; A determination means that determines whether the reaction to each of the areas is good or bad based on the detection result; A determination means that determines usage conditions for each area based on whether the reaction is good or bad; An output means that outputs the usage conditions; A store lending support device comprising the above.

[0094] [Appendix 2] The usage conditions are usage conditions for the borrower business operator to whom the area is lent. The store lending support device according to Appendix 1.

[0095] [Appendix 3] The determination means determines, as usage conditions for each area, usage conditions when newly lending to the borrower business operator for each area based on the customer's reaction. The store lending support device according to Appendix 1 or 2.

[0096] [Appendix 4] The determination means determines the usage conditions to be more favorable for the borrower business operator as the customer's reaction to the exhibit in the area lent to the borrower business operator is better. The store lending support device according to any one of Appendices 1 to 3.

[0097] [Appendix 5] The determination means determines the usage conditions to be more favorable for the lender business operator as the customer's reaction to the area is better. The store lending support device according to any one of Appendices 1 to 4.

[0098] [Appendix 6] The determination means determines that the better the customer response is, the more responses from the customers to the area there are. The store lending support device according to any one of Appendices 1 to 6.

[0099] [Appendix 7] The customer response to the area is at least one of the customer looking at the area, the customer staying in front of the area, the customer operating the area of the display device, and the customer picking up the product displayed on the product shelf. The store lending support device according to Appendix 6.

[0100] [Appendix 8] The determination means determines that the better the customer response is, the higher the degree of fitness between the ratio of the attributes of the customers who have responded to the area and the ratio of the attributes set by the lending source business operator is. The store lending support device according to any one of Appendices 1 to 7.

[0101] [Appendix 9] The determination means determines that the better the customer response is, the larger the number of customers who have purchased products at the store of the lending source business operator where at least one of the display device and the product shelf is installed among the customers who have responded to the area is. The store lending support device according to any one of Appendices 1 to 8.

[0102] [Appendix 10] The determination means determines the usage conditions based on the quality of the response and information indicating the presence or absence of a business operator who wishes to lease the area. The store lending support device according to any one of Appendices 1 to 9.

[0103] [Appendix 11] The determination means determines the usage conditions based on the customer response and lending request information, which is information on the exhibits of the business operator who wishes to lease the area. The store lending support device according to any one of Appendices 1 to 10.

[0104] [Appendix 12] The operation information of the customer is a video that captures the customer around the display device or the shelf. The store lending support device according to any one of Appendices 1 to 11.

[0105] [Appendix 13] The operation information of the customer is information indicating the operation history of the display device. The store lending support device according to any one of Appendices 1 to 12.

[0106] [Appendix 14] The usage conditions are update conditions that are usage conditions when updating the lending of the area to the borrowing business operator. The store lending support device according to any one of Appendices 1 to 13.

[0107] [Appendix 15] The update conditions are at least one of the priority of the update, the permissibility of the update, and the fee in the update. The store lending support device according to Appendix 14.

[0108] [Appendix 16] A computer is installed in a store and lent to a borrowing business operator, and acquires operation information of a customer with respect to at least one of a display device and a product shelf on which the borrowing business operator displays products. Based on the operation information of the customer, detects the reaction of the customer with respect to each of at least one area of the display device and the product shelf. Based on the detection result, determines the goodness or badness of the reaction with respect to each of the areas. Based on the goodness or badness of the reaction, determines the usage conditions for each area. Outputs the usage conditions. Store lending support method.

[0109] [Appendix 17] Installed in a store and lent to a borrower business operator, it acquires customer operation information regarding at least one of a display device and a merchandise shelf on which the borrower business operator displays products. Based on the customer operation information, it detects the customer's reaction to each of at least one area of the display device and the merchandise shelf. Based on the detection result, it determines whether the reaction to each of the areas is good or bad. Based on whether the reaction is good or bad, it determines the usage conditions for each area. It outputs the usage conditions. A program that causes a computer to execute the processing.

[0110] Also, part or all of the configurations described in Appendices 2 to 15 that are subordinate to the store lending support device of Appendix 1 described above can be subordinate to the store lending support method of Appendix 16 and the program of Appendix 17 in the same subordinate relationship as Appendices 2 to 15. Furthermore, not limited to Appendices 1, 16, and 17, within the scope not departing from the above-described embodiments, the same applies to various hardware, software, various recording means for recording software, or systems. Part or all of the configurations described as appendices can be made subordinate.

Explanation of Signs

[0111] 100 Store lending support device 101 Acquisition unit 102 Detection unit 103 Judgment unit 104 Decision unit 105 Output unit 1000 Information processing device 1001 CPU 1002 ROM 1003 RAM 1004 Program 1005 Storage device 1006 Recording medium 1007 Drive device 1008 Communication I / F 1009 Communication network 1010 Input / Output I / F 1011 Bus

Claims

1. An acquisition means for acquiring customer operation information for at least one of a display device and a merchandise shelf that are installed in a store and lent to a borrower business operator, and where the borrower business operator displays products; A detection means for detecting the customer's reaction to each of at least one area of the display device and the merchandise shelf based on the operation information; A determination means for determining whether the reaction to each of the areas is good or bad based on the detection result; A determination means for determining the usage conditions for each area based on whether the reaction is good or bad; An output means for outputting the usage conditions; A store lending support device comprising the above.

2. The usage conditions are the usage conditions for the borrower business operator to whom the area is lent. The store lending support device according to Claim 1.

3. The usage conditions for each area are the usage conditions when newly lending to the borrower business operator for each area. The store lending support device according to Claim 1.

4. The determination means determines the usage conditions to be more favorable for the borrower business operator as the customer's reaction to the exhibits in the area lent to the borrower business operator is better. The store lending support device according to Claim 1.

5. The determination means determines the usage conditions to be more favorable for the lending source business operator, which is the business operator lending at least one of the display device and the merchandise shelf, as the customer's reaction to the area is better. The store lending support device according to Claim 1.

6. The determination means determines that the customer's reaction is better as the customer's reaction to the area is greater. The store lending support device according to Claim 1.

7. The customer's reaction to the area is at least one of the customer looking at the area, the customer staying in front of the area, the customer operating the area of the display device, and the customer picking up the products displayed on the merchandise shelf. The store lending support device according to Claim 6.

8. The determination means determines that the customer's reaction is better as the degree of fitness between the ratio of the attributes of the customers who reacted to the area and the ratio of the attributes set by the lending source business operator, which is the business operator lending at least one of the display device and the merchandise shelf, is higher. The store lending support device according to Claim 1.

9. A computer is Installed in a store and lent to a borrower business operator, it acquires customer movement information regarding at least one of a display device and a merchandise shelf on which the borrower business operator displays products, Based on the movement information, it detects the customer's reaction to each of at least one area of the display device and the merchandise shelf, Based on the detection result, it determines whether the reaction to each of the areas is good or bad, Based on whether the reaction is good or bad, it determines the usage conditions for each area, Outputs the usage conditions, Store lending support method.

10. Installed in a store and lent to a borrower business operator, it acquires customer movement information regarding at least one of a display device and a merchandise shelf on which the borrower business operator displays products, Based on the movement information, it detects the customer's reaction to each of at least one area of the display device and the merchandise shelf, Based on the detection result, it determines whether the reaction to each of the areas is good or bad, Based on whether the reaction is good or bad, it determines the usage conditions for each area, Outputs the usage conditions, A program that causes a computer to execute the process.

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