Purchase Support Device and Purchase Support Method

Abstract

To make it possible to efficiently provide accurate purchase support information based on customer purchase actions in both an online store and in a physical store.SOLUTION: A purchase support device 100 includes: a storage device 101 that holds behavior information of a customer in at least one of a physical store and an online store; and a computing device 104 that executes processing of extracting behavior information of a specific customer observed with respect to a specific commodity in both the physical store and the online store from the behavior information, processing of specifying a difference between the physical store and the online store in relation to the behavior of the specific customer with respect to the specific commodity indicated by the behavior information, and processing of identifying a customer who exhibits a predetermined behavior with respect to the specific commodity based on the behavior information, and performing notification of information on the difference toward a terminal of the customer.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a purchase support device and a purchase support method.

Background Art

[0002] Conventionally, for MA (Marketing Automation) and CRM (Customer Relationship Management), the trends of customers and the market have been observed and analyzed using various tools, and based on the results, product proposals to customers and the market, relationship building and maintenance, etc. have been carried out. In addition, with the recent boom of online stores, such technologies have evolved into those that make highly accurate product proposals and suggest purchase behaviors based on the individual behavior histories of each customer online.

[0003] As a conventional technology that enables product proposals to customers as described above, for example, a technology for recommending the product lineup required by customers using a store (see Patent Document 1) has been proposed.

[0004] This technology relates to an item lineup recommendation device including an acquisition means for acquiring an identifier of a customer who visited the target store, an identifier of a customer who purchased a product at another store, and an identifier of the product, and a determination means for determining a recommended ordering product at the target store based on the purchase history at the other store of the product purchased by the customer who visited the target store at the other store.

[0005] Also, technologies for presenting a second product to be combined with a product held by a customer or a product similar to the product (see Patent Document 2) have been proposed.

[0006] This technology relates to an information processing apparatus, comprising: detection means for detecting, from an image of a customer, an action of the customer grasping a product; extraction means for extracting the product that has become the object of grasping detected by the detection means; second extraction means for extracting a second product to be combined with the product extracted by the extraction means or a product similar to the product; and presentation means for presenting the second product extracted by the second extraction means.

[0007] In addition, technologies such as a technology for providing information to customers at an appropriate timing (see Patent Document 3) have been proposed.

[0008] This technology relates to an information processing method for causing a computer to execute a process of acquiring customer's action attribute information from sensors including furniture cameras provided corresponding to furniture installed in a store, selecting promotion contents classified into a plurality of categories based on the action attribute information, and outputting the selected promotion contents from an output device including a first display unit provided corresponding to the furniture.

Prior Art Documents

Patent Documents

[0009]

Patent Document 1

Patent Document 2

Patent Document 3

Summary of the Invention

Problems to be Solved by the Invention

[0010] Certainly, the purchasing opportunities in online stores have increased rapidly, and it has become common for cases where products are purchased based only on images and information on the WEB screen without actually seeing the physical products. On the one hand, in addition to the detailed shape, delicate color usage, and size of a product, elements that can be perceived due to the nature of the physical object such as touch, scent, and texture are still important, and furthermore, the composite balance of these is also emphasized. There are many such products.

[0011] For customers who are interested in such products, it can be said that it is still difficult to decide to purchase the product based only on the information obtained on the Internet.

[0012] The above-mentioned points suggest the limitations of the conventional method of proposing products and services to customers based only on their behavior in online stores and the like. Therefore, the inventor focused on the problem that in order to truly make suitable product proposals that customers desire, it is necessary to consider the behavior of customers in the presence of the physical product.

[0013] Therefore, an object of the present invention is to provide a technology that can efficiently provide accurate purchase support information based on the purchase behavior of customers in both online and real stores.

Means for Solving the Problem

[0014] The purchase support device of the present invention for solving the above problems includes a storage device that holds customer behavior information, a process of extracting the behavior information of a specific customer observed regarding a specific product in both the physical store and the online store from the behavior information, a process of specifying the differences between the physical store and the online store regarding the behavior of the specific customer regarding the specific product indicated by the behavior information, and a process of specifying a customer who shows a predetermined behavior regarding the specific product based on the behavior information and notifying the customer's terminal of the information on the differences. in It is characterized by comprising an arithmetic device that executes the above processes. Also, the purchase support method of the present invention is such that an information processing device performs operations on a physical store and an online store in A memory device for storing customer behavior information is provided, and a process of extracting behavior information of a specific customer observed regarding a specific product in both the physical store and the online store from the behavior information, a process of identifying differences between the physical store and the online store regarding the behavior of the specific customer regarding the specific product indicated by the behavior information, and a process of identifying customers who exhibit a predetermined behavior regarding the specific product based on the behavior information and notifying the customers' terminals of the difference information are executed.

Effect of the Invention

[0015] According to the present invention, it is possible to efficiently provide accurate purchase support information based on the purchase behavior of customers in both online and physical stores.

Brief Description of the Drawings

[0016]

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Mode for Carrying Out the Invention

[0017] <Network Configuration> Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. FIG. 1 is a network configuration diagram including a purchase support device 100 of this embodiment. The purchase support device 100 shown in FIG. 1 is a computer that can efficiently provide accurate purchase support information based on the purchase behavior of customers in both online and real stores.

[0018] As shown in FIG. 1, the purchase support device 100 of this embodiment is communicably connected to a user terminal 200, an online store server 300, a physical store system 400, and a business operator system 500 via a network 1. Therefore, these may be collectively referred to as a purchase support system 10.

[0019] The purchase support device 100 of this embodiment can be said to be a service providing device that acquires the behavior information of each customer in an online store or a physical store, which is observed and managed by an online store server 300, a physical store system 400, etc., and performs information distribution to customers and predetermined business operators based on this information.

[0020] Of course, at least any one of the online store server 300, the physical store system 400, and the business operator system 500 may operate as the purchase support device 100.

[0021] Among the above, the user terminal 200 is a terminal of a customer who visits an online store or a physical store to purchase goods. Specifically, a smartphone, a tablet terminal, a personal computer, etc. can be assumed.

[0022] In addition, the online store server 300 is a server device that publishes an online store on the Internet and executes information distribution, settlement processing, etc. in response to various requests from the user terminal 200 (e.g., a request to view product information or a request to purchase the product).

[0023] This online store server 300 observes the behavior of each customer in the online store and holds the observation results in an appropriate storage device. In this case, the observation of behavior extracts data related to events such as the number of accesses to each product page, the viewing time, and the purchase frequency from the access logs related to each customer, assuming the use of general web marketing techniques. The online store server 300 can distribute the data related to the behavior of each customer, which is the above-mentioned observation result, to the purchase support device 100 via the network 1 at regular intervals or in response to a request from the purchase support device 100.

[0024] In addition, the physical store system 400 is a store management system provided in a real store, and includes a POS (Point Of Sales) unit 430 and an observation sensor 450. Among these, the POS unit 430 performs each process of registering and settling the products brought in by the customer to the cash register. It is a unit to execute, and the information of the product targeted for settlement here is managed as the product purchase information by the customer and distributed to the purchase support device 100.

[0025] In addition, the observation sensor 450 is, for example, a sensor unit that senses an action of a customer who has moved in front of a predetermined product shelf in a physical store reaching for or actually lifting a desired product, that is, which product the customer has taken an interest in. This observation sensor 450 may appropriately employ units that have already been adopted for the same purpose, such as an infrared laser that observes the position of a hand or an arm, a camera for image recognition of the product targeted for the action, and a weight sensor that senses the lifting action of a specific product on a predetermined shelf. The actions of the customer targeted for sensing here and the information of the target product are managed by the physical store system 400 as the information of the customer's interest actions and distributed to the purchase support device 100.

[0026] In addition, the business operator system 500 is a system operated by an operator of an online store or a physical store, or a manufacturer of products sold in such stores. This business operator system 500 acquires information regarding the sales status of products in online stores or physical stores and the tendencies of interest actions and purchase actions of each customer from the purchase support device 100 and utilizes it for operations such as store operation, product development, and marketing strategies. <Hardware Configuration> In addition, the hardware configuration of the purchase support device 100 of the present embodiment is as follows in FIG. 2.

[0027] That is, the purchase support device 100 includes a storage device 101, a memory 103, an arithmetic device 104, and a communication device 105.

[0028] Among these, the storage device 101 is composed of an appropriate non-volatile memory element such as an SSD (Solid State Drive) or a hard disk drive.

[0029] In addition, the memory 103 is composed of a volatile memory element such as a RAM (Random Access Memory).

[0030] Also, the arithmetic unit 104 is a CPU that reads and executes the program 102 held in the storage device 101 into the memory 103 to perform overall control of the device itself and perform various determinations, arithmetic operations, and control processes.

[0031] Also, the communication device 105 is assumed to be a network interface card or the like that connects to the network 1 and is responsible for communication processing with the user terminal 200, the online store server 300, the physical store system 400, the business operator system 500, and the like.

[0032] Also, in the storage device 101, in addition to the program 102 for implementing the functions necessary for the purchase support device 100 of the present embodiment, at least the personal behavior history DB 125, the product interest purchase change DB 126, the product comment DB 127, and the product DB 128 are stored. However, the details of these databases will be described later.

[0033] Subsequently, FIG. 3 shows a hardware configuration example of the online store server 300 in the present embodiment. The online store server 300 in the present embodiment includes a storage device 301, a memory 303, an arithmetic unit 304, and a communication device 305.

[0034] Among these, the storage device 301 is composed of an appropriate non-volatile memory element such as an SSD (Solid State Drive) or a hard disk drive.

[0035] Also, the memory 303 is composed of a volatile memory element such as a RAM (Random Access Memory).

[0036] Also, the arithmetic unit 304 is a CPU that reads and executes the program 302 held in the storage device 301 into the memory 303 to perform overall control of the device itself and perform various determinations, arithmetic operations, and control processes.

[0037] In addition, the communication device 305 is assumed to be connected to the network 1 and include a network interface card or the like responsible for communication processing with the purchase support device 100 and the like.

[0038] In addition, in the storage device 301, in addition to the program 302 for implementing the functions necessary for the online store server 300 of the present embodiment, at least the online behavior information 325 is stored. This online behavior information 325 is the observation result of the behavior of each customer in the online store, and corresponds to data such as the number of accesses to each product page, the browsing time, and the purchase history.

[0039] Note that the online store server 300 executes customer authentication upon receiving a log-on operation from a customer via the user terminal 200. The online store server 300 shall manage the information regarding various behaviors such as the customer's interest behavior and purchase behavior by associating the identification information (e.g., membership ID, etc.) of the customer.

[0040] Also, FIG. 4 shows a hardware configuration example of the physical store system 400 in the present embodiment. The physical store system 400 in the present embodiment includes a storage device 401, a memory 403, an arithmetic device 404, a communication device 405, a POS unit 430, and an observation sensor 450.

[0041] Among these, the storage device 401 is composed of an appropriate non-volatile memory element such as an SSD (Solid State Drive) or a hard disk drive.

[0042] Also, the memory 403 is composed of a volatile memory element such as a RAM (Random Access Memory).

[0043] Also, the arithmetic device 404 is a CPU that reads the program 402 held in the storage device 401 into the memory 403 and executes it to perform overall control of the device itself and perform various determinations, calculations, and control processes.

[0044] In addition, the communication device 405 is assumed to be connected to the network 1 and include a network interface card or the like that is responsible for communication processing with the purchase support device 100 and the like.

[0045] In addition, the POS unit 430 is a unit that executes processes such as registration and settlement of products brought in by customers to the cash register. Information on the products subject to settlement here is managed as one of the purchase information of the products by the customer, that is, the in-store behavior information 425.

[0046] In addition, the observation sensor 450 is, for example, a sensor unit that senses an action of a customer reaching for or actually lifting a desired product after moving in front of a predetermined product shelf in the physical store, that is, which product the customer has taken an interest in.

[0047] For this observation sensor 450, units already adopted for the same purpose, such as an infrared laser for observing the position of hands and arms, a camera for image recognition of the product being the action target, and a weight sensor for sensing the lifting action of a specific product on a predetermined shelf, may be appropriately adopted.

[0048] The actions of the customer and information on the target product that are the sensing targets here are managed as one of the information on the customer's interest actions, that is, the in-store behavior information 425.

[0049] Note that the physical store system 400 executes customer authentication upon receiving a log-on action from a customer via a predetermined store terminal or user terminal 200. Therefore, the physical store system 400 shall manage information on various behaviors of the customer, such as the customer's interest actions and purchase actions, while associating the identification information of the customer (e.g., membership ID, etc.).

[0050] In addition, in the storage device 401, in addition to the program 402 for implementing the functions necessary for the physical store system 400 of the present embodiment, at least the physical store behavior information 425 is stored. This physical store behavior information 425 is the observation result of the behavior of each customer in the physical store, and is composed of information obtained from the above-described POS unit 430 and observation sensor 450. <Example of data structure> Next, various types of information used by the purchase support device 100 of the present embodiment will be described. FIG. 5 shows an example of the personal behavior history DB 125 in the present embodiment.

[0051] The personal behavior history DB 125 of the present embodiment is a database that stores behavior information acquired at regular intervals, for example, from the above-described online store server 300 and physical store system 400.

[0052] This personal behavior history DB 125 is, for example, a collection of linked records that associate a personal ID uniquely identifying a customer as a key with identification information (such as a previously assigned store number) of the store (online or physical store) visited by the customer, the date and time thereof, the ID of the product that was the target of the interesting behavior or purchase behavior, and the type of behavior (purchase or non-purchase (interest only)).

[0053] FIG. 6 also shows a configuration example of the product interest purchase change DB 126 in the present embodiment. The product interest purchase change DB 126 of the present embodiment is a database that specifies and processes each record of the personal behavior history DB 125 under predetermined conditions (temporal transition regarding interesting behavior or purchase behavior, that is, the presence or absence of change) and stores the results.

[0054] This product interest purchase change DB 126 is a collection of linked records that associate, as a key, the product ID of the product in which the behavior information is stored after the above-described specification and processing, the storage date of the behavior information regarding the product, the "type of change" of the interesting behavior or purchase behavior, and the ID of the product after the change (switch destination product) when the type is "switch", that is, product change.

[0055] The conditions for the above record identification are as follows. <Condition 1: Add01 (Love at first sight)> "Products with no purchase history in both physical stores and online stores for a certain period (e.g., in the past year) ", and "After the above certain period, a purchase history occurs in a physical store". The concept of this Condition 1 is illustrated in Fig. 7. <Condition 2: Add02 (Hesitated but purchased immediately after seeing the actual product)> "Products with no purchase history for a certain period (e.g., in the past year)", and "Products with a browsing history in the online store during the said certain period" ", and "After the elapse of the above certain period, a purchase history occurs in a physical store". The concept of this Condition 2 is illustrated in Fig. 8A. <Condition 3: Add03 (Hesitated but purchased later after seeing the actual product)> "Products with no purchase history for a certain period (e.g., in the past year)", and "Products with a browsing history in the online store during the said certain period = There is an interest behavior but no purchase" ", and "After the said certain period, a purchase history occurs in either a physical store or an online store". The concept of this Condition 3 is illustrated in Fig. 8B. <Condition 4: Switch01 (Love at first sight)> "In a situation where there exists "Product A with a purchase history occurring regularly (e.g., once every three months)" and "Product C with no purchase history and no browsing history for a certain period (e.g., in the past year)", "After the said certain period, a purchase history of Product C occurs in a physical store", and "After the occurrence of the purchase history, there is no purchase history of Product A for a period of more than a certain period". The concept of this Condition 4 is illustrated in Fig. 9. <Condition 5: Switch02 (Hesitated but purchased immediately after seeing the actual product)> "In a situation where there exists "Product A purchased regularly (e.g., once every three months)" and "Product C with no purchase history but with a browsing history in the online store for a certain period (e.g., in the past year)", "A purchase history of Product C occurs in a physical store", and "After the occurrence of the purchase history, there is no purchase history of Product A for a period of more than a certain period". The concept of this Condition 5 is illustrated in Fig. 10. <Condition 6: Switch03 (Hesitated but purchased later after seeing the actual product)> In a situation where there are "Product A that is purchased regularly (e.g., once every three months)" and "Product C that has no purchase history for a certain period (e.g., in the past year) but has a browsing history on the online store", after the browsing history of Product BC on the above-mentioned online store occurs, a browsing history also occurs in the physical store. After that browsing, after a certain period of time, a purchase history of Product B occurs on the online store or the physical store, and after the purchase history occurs, there is no purchase history of Product A for a certain period or more. Note that the concept of this Condition 6 is illustrated in FIG. 11. <Condition 7: Loss01 (was hesitant but lost interest after seeing the actual product)> "A product that has no purchase history for a certain period (e.g., in the past year) but has a browsing history on the online store", after the browsing history on the above-mentioned online store occurs, a browsing history also occurs in the physical store, and after that browsing, there is no purchase history of the product in the physical store or the online store for a certain period or more. Note that the concept of this Condition 7 is illustrated in FIG. 12.

[0056] FIG. 13 also shows a configuration example of the product comment DB 127 in the present embodiment. The product comment DB 127 of the present embodiment is a database that stores comments generated by the purchase support device 100 based on the contents of the records in the above-mentioned product interest purchase change DB 126.

[0057] Specifically, it is an aggregate of records that associate the product ID that uniquely indicates the product to be commented on as a key, the storage date and time of the comment regarding the product, and data such as the comment.

[0058] As a method for generating comments, it is a method based on the "product ID", the "type of change" of the interest action or purchase action, and the values of the "switch" included in the records in the product interest purchase change DB 126. For example, when the "type of change" is "Switch", the purchase support device 100 extracts the values of the "product ID" and "switch" items in the record, and sets the values of the respective items in a prepared template sentence to complete the comment.

[0059] However, rather than generating the comment based only on the existence of one record, it is preferable to generate the comment when a certain number or more of records, that is, when a corresponding number of customers assumed in advance show the same behavior.

[0060] More specifically, when the above-mentioned template sentence is "When many people see the actual product, they switch from 'from' to 'to'!", the purchase support device 100 sets the product name corresponding to the extracted "product ID" for "from", and also sets the product name corresponding to the product ID of the extracted "switch" for "to", and generates a comment such as "When many people see the actual product, they switch from product A to product B!".

[0061] Also, for example, when the "type of change" is "Add", the purchase support device 100 extracts the value of the "product ID" item in the record, and sets the value of each item in a prepared template sentence to complete the comment.

[0062] More specifically, when the above-mentioned template sentence is "When many people see the actual product, they are purchasing 'Add'!", the purchase support device 100 sets the product name corresponding to the extracted "product ID" for "Add", and generates a comment such as "When many people see the actual product, they are purchasing product C!".

[0063] Also, FIG. 14 shows a configuration example of the product DB 128 in the present embodiment. The product DB 128 in the present embodiment is a database that is generated and managed by receiving information distribution of the product from a business operator system 500 operated by, for example, a manufacturer of products sold in an online store or a physical store.

[0064] This product DB 128 is a collection of records that associate data such as the major product classification, minor product classification, product category, and product name of the product with a product ID that uniquely indicates the product as a key. <Flow Example> Hereinafter, the actual procedure of the purchase support method in this embodiment will be described with reference to the drawings. Various operations corresponding to the purchase support method described below are realized by a program that the purchase support device 100 reads into a memory or the like and executes. And this program is composed of codes for performing various operations described below.

[0065] FIG. 15 is a diagram showing an example of a flow of the purchase support method in this embodiment. In this case, the purchase support device 100 extracts records that match the above-described conditions 1 to 7 (illustrated in FIGS. 7 to 12) from the personal behavior history DB 125 of the storage device 101 (s10).

[0066] Also, the purchase support device 100 identifies the differences between the physical store and the online store regarding the behavior of the customer regarding the specific product indicated by the record extracted in s10 (s11). Regarding the identification of this difference, the preliminary preparation is completed by the extraction of records that match the conditions 1 to 7 in s10, and here, it is a process of selecting the records regarding the customer of the "specific product" among the records extracted in s10.

[0067] What the "specific" product means is that a certain number or more (for example, a certain ratio or more of the total number of records, etc.) of records are extracted, that is, those with a certain degree of universality regarding the behavior information. Therefore, even if a record is extracted as matching any of the conditions 1 to 7 in s10, for example, if only 1 record is extracted regarding the "product", it can be determined that there is no universality.

[0068] Therefore, when the number of records regarding the same product (for example, product A) or products of the same genre (for example, cosmetics, lipsticks) that match the same condition (for example, condition 1) is above a certain standard, and those records are stored regarding a certain number or more of customers (that is, not just the record of only one customer), it is considered that the "difference" regarding the customer of the "specific product" has been identified.

[0069] Note that the above-mentioned "differences" are as shown in Conditions 1 to 7, and such differences include, for example, changes in purchasing behavior along the visit order of the online store and the physical store (e.g., the order of online store → physical store) (e.g., the purchase of a product that was being continuously purchased at the online store was stopped or switched to another product after being confirmed at the visited physical store), changes in interest behavior and purchasing behavior that occurred when visiting the physical store from a state where there was no interest behavior or purchasing behavior at the online store, changes in interest behavior along the visit order of the online store and the physical store (e.g., the interest in a product that was being continuously shown interest in at the online store stopped or switched to another product after being confirmed at the visited physical store), and so on.

[0070] Subsequently, the purchase support device 100 applies the values included in the records that match the differences identified in s11, that is, the records that meet any of Conditions 1 to 7, to a predetermined template sentence to generate a comment (s12). Regarding such a comment generation method, it has already been described. A template sentence is selected according to the "type of change" in the record, and the product name corresponding to the value of the "product ID" item in the above-mentioned record (identified in the product DB128 based on the product ID) is set in the value setting field of the template sentence to complete the comment.

[0071] Specifically, when the above-mentioned template sentence is "When many people see the real thing, they are purchasing 'Add'!", the purchase support device 100 sets the product name (e.g., Product C) corresponding to the extracted "product ID" for "Add" and generates a comment such as "When many people see the real thing, they are purchasing Product C!".

[0072] In addition, the purchase support device 100 identifies customers who show a predetermined behavior (e.g., interest behavior or purchase behavior) regarding the above-mentioned specific product based on the individual behavior history DB125 (s13).

[0073] Subsequently, the purchase support device 100 notifies the user terminal 200 of the customer identified in s13 with the comment generated in s12 (see FIGS. 16 to 18) (s14) and ends the process.

[0074] In addition, in the above-mentioned s11, if the difference cannot be specified, that is, if records that match any of Conditions 1 to 7 cannot be specified, the purchase support device 100 shall notify the user terminal 200 to that effect.

[0075] As described above, the best mode for carrying out the present invention has been specifically described. However, the present invention is not limited thereto, and various modifications can be made without departing from the gist thereof.

[0076] According to this embodiment, it is possible to efficiently provide accurate purchase support information based on the purchase behavior of customers in both online and real stores.

[0077] From the description in this specification, at least the following is clarified. That is, in the purchase support device of this embodiment, when the arithmetic device specifies the difference, it may be configured to specify the change in the purchase behavior along the order of visits to the online store and the physical store, and notify the terminal of the information on the change.

[0078] According to this, for example, for a product that a customer has been continuously purchasing at an online store until visiting a physical store, when the customer gets the actual product in the physical store, it is possible to identify changes such as stopping the purchase, switching to another product, or additionally purchasing another product, and notify customers who have made multiple purchases or viewed the product many times at the online store about the changes in purchase behavior (e.g., whether to stop the purchase, switch to another product, or additionally purchase another product) when actually checking the product in the physical store.

[0079] That is, by visiting not only the online store but also the physical store to actually check the products, it becomes possible to efficiently output suggestions for purchase avoidance, purchase target change, or additional products that the customer should purchase. As a result, it becomes possible to efficiently provide more accurate purchase support information based on the purchase behavior of customers in both online and real stores.

[0080] Further, in the purchase support device of the present embodiment, when specifying the difference, the arithmetic device determines, from a state where there is no interest behavior or purchase behavior in the online store, the change in interest behavior or purchase behavior that occurs when visiting the physical store and notifies the terminal of the information on the change.

[0081] According to this, in response to the situation where many customers who have not even checked the products in the online store make an immediate purchase when they actually check the products in the physical store, it becomes possible to propose information on this situation to other customers having the same or similar attributes as the customers who have made the immediate purchase. As a result, it becomes possible to efficiently provide more accurate purchase support information based on the purchase behavior of customers in both online and real stores.

[0082] Further, in the purchase support device of the present embodiment, when specifying the difference, the arithmetic device may specify the change in interest behavior along the order of visiting the online store and the physical store and notify the terminal of the information on the change.

[0083] According to this, for example, when a customer who has only browsed a product online in a physical store actually holds the physical product in the physical store, they may lose interest, or may directly make a purchase in the physical store, or may make a purchase in the next visited online store. It is possible to identify such changes and provide information such as "in many cases, customers will make a purchase after actually checking the product in the physical store" to customers who show a certain degree of interest in the product, such as browsing the product many times online. That is, not only online stores but also visiting physical stores to actually check the product may lead to a good purchase experience for the customer, or it is possible to efficiently output a suggestion that it may lead to a loss of interest. As a result, it is possible to efficiently provide more accurate purchase support information based on the purchase behavior of customers in both online and physical stores.

[0084] Also, in the purchase support device of the present embodiment, when the arithmetic device cannot identify the difference, it may notify the terminal to that effect.

[0085] According to this, it is possible to present to the customer side an event where there is no difference in the interest behavior or purchase behavior regarding the product, whether the product is actually checked in the physical store or the product information is browsed in the online store. As a result, it is possible to efficiently provide more accurate purchase support information based on the purchase behavior of customers in both online and physical stores.

[0086] Also, in the purchase support method of the present embodiment, when the information processing device identifies the difference, it may identify the change in the purchase behavior along the order of visiting the online store and the physical store, and notify the terminal of the information of the change.

[0087] Also, in the purchase support method of the present embodiment, when the information processing device identifies the difference, it may identify the change in which the interest behavior or purchase behavior occurs when visiting the physical store from a state where there is no interest behavior or purchase behavior in the online store, and notify the terminal of the information of the change.

[0088] Also, in the purchase support method of the present embodiment, when the information processing apparatus identifies the difference, it may identify a change in the user's behavior of interest along the order of visiting the online store and the physical store, and notify the terminal of the information on the change.

[0089] Also, in the purchase support method of the present embodiment, when the information processing apparatus cannot identify the difference, it may notify the terminal to that effect.

Explanation of Reference Numerals

[0090] 1 Network 10 Purchase Support System 100 Purchase Support Device 101 Storage Device 102 Program 103 Memory 104 Arithmetic Unit 105 Communication Device 125 Personal Behavior History DB 126 Product Interest Purchase Change DB 127 Product Comment DB 128 Product DB 200 User Terminal 300 Online Store Server 301 Storage Device 302 Program 303 Memory 304 Arithmetic Unit 305 Communication Device 325 Online Behavior Information 400 Physical Store System 401 Storage Device 402 Program 403 Memory 404 Arithmetic Unit 405 Communication Device 425 Physical Store Behavior Information 430 POS Unit 450 Observation Sensor 500 Operator System

Claims

1. A storage device that stores customer behavior information in a physical store and an online store, Among the behavior information, a process of extracting the behavior information of a specific customer observed for a specific product in both the physical store and the online store, and a process of identifying the difference between the physical store and the online store regarding the behavior of the specific customer regarding the specific product indicated by the behavior information, and a process of identifying a customer showing a predetermined behavior regarding the specific product based on the behavior information and notifying the customer's terminal of the difference information, A purchase support device comprising the same.

2. The arithmetic device, When identifying the difference, it identifies the change in the purchase behavior along the visit order of the online store and the physical store, and notifies the terminal of the change information. The purchase support device according to claim 1, characterized in that.

3. The arithmetic device, When identifying the difference, it identifies the change in which an interest behavior or a purchase behavior occurs when visiting the physical store from a state where there is no interest behavior or purchase behavior in the online store, and notifies the terminal of the change information. The purchase support device according to claim 2, characterized in that.

4. The arithmetic device, When identifying the difference, it identifies the change in the interest behavior along the visit order of the online store and the physical store, and notifies the terminal of the change information. The purchase support device according to claim 1, characterized in that.

5. The arithmetic device, When the difference cannot be identified, it notifies the terminal to that effect. The purchase support device according to claim 1, characterized in that.

6. An information processing device, Comprises a storage device that stores customer behavior information in a physical store and an online store, Among the behavior information, a process of extracting the behavior information of a specific customer observed for a specific product in both the physical store and the online store, and a process of identifying the difference between the physical store and the online store regarding the behavior of the specific customer regarding the specific product indicated by the behavior information, and a process of identifying a customer showing a predetermined behavior regarding the specific product based on the behavior information and notifying the customer's terminal of the difference information, A purchase support method characterized by executing the same.

7. The information processing device, When identifying the difference, identify the change in the purchasing behavior along the order of visiting the online store and the physical store, and notify the terminal of the information on the change. The purchasing support method according to claim 6, characterized in that.

8. When the information processing apparatus When identifying the difference, identify the change in which the interest behavior or purchasing behavior occurs at the time of visiting the physical store from the state where there is no interest behavior or purchasing behavior in the online store, and notify the terminal of the information on the change. The purchasing support method according to claim 7, characterized in that.

9. When the information processing apparatus When identifying the difference, identify the change in the interest behavior along the order of visiting the online store and the physical store, and notify the terminal of the information on the change. The purchasing support method according to claim 6, characterized in that.

10. When the information processing apparatus When the difference cannot be identified, notify the terminal to that effect. The purchasing support method according to claim 6, characterized in that.

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