JP4387340B2 - Customer preference information collection apparatus and customer preference information collection method - Google Patents

Description

  The present invention relates to a technique for collecting customer preference information, and more particularly to a customer preference information collection apparatus and a customer preference information collection method for collecting customer preference information using an electronic tag.

  In store sales of expensive precious metals such as luxury watches and luxury glasses, face-to-face sales between customers and shop assistants are mainly performed. In general, the store clerk presents some recommended products according to the customer's request and takes the form of purchasing the products according to the customer's selection.

  In such a situation, there is an experienced salesperson called a charismatic salesclerk. Charismatic salesclerks have the skills to promote the quick and smooth purchase by looking at the customer's characteristics (age, clothes, companions, etc.) and presenting the best product that the customer likes most. Such a technique is a technique that can be said to be a craftsmanship skill that has been refined and acquired through years of experience and effort.

  In order to make this tacit knowledge a formal knowledge, questionnaires and consumer monitors are actively used as activities to collect customer preference information.

In addition, as a specific conventional technique for collecting customer preference information, the user's preference data is obtained from the use result of the accommodation facility used by the user (such as the type of dish, room type, etc.). A technique for uploading data from a client computer to a server computer via the Internet and constructing preference data relating to an arbitrary user as a database is described in Patent Document 1 below.
JP 2002-149705 A

  When purchasing expensive precious metals, it can be said that there is almost no decision to purchase from the beginning and head to the store. First, go to the store, see a lot of products, and pick up some of your favorite items, and then go to a different store, repeat the same thing, and finally Buy the products you like. It is ideal to record and analyze all these behaviors, but in reality it is difficult.

  In particular, the method of collecting customer preference information from a questionnaire or the like in the prior art is expensive and time consuming, and the customer's purchase behavior pattern itself cannot be measured and collected. The purchase behavior of the customer refers to the behavior from when the customer visits the store, after interacting with the store clerk, and finally purchasing the product at the store.

  Here, a data collection method using an electronic tag (for example, an IC tag) is widely used in various fields. The content to be collected is often used to collect location information such as base passage information in the logistics industry. Recently, it is also used for individual identification information in traceability. However, the use of electronic tags in sales management is centered on the acquisition of product identification information in the sale of goods, and has not yet acquired detailed customer preference information. The customer preference information refers to information including at least information related to the purchase behavior of the customer in the store and customer characteristic information.

  The present invention has been made in view of such circumstances, and a customer preference information collection apparatus and a customer preference information collection method for collecting detailed customer preference information by measuring purchase behavior in a customer's store using an electronic tag. About.

  In order to solve the above problems, the present invention has the following configuration, for example.

  (1) For example, when an electronic tag is attached in advance to each of the products 100 to 104 shown in FIG. 1 and the products 100 to 104 are presented to customers who have visited the store, the products 100 to 104 are temporarily placed on the tray 200. Each product is presented on The tray 200 is a device capable of writing time information on the electronic tag of each product, and writes the time information when each product is placed on the tray 200 in the electronic tag of the corresponding product.

  Therefore, the time information when the products 100 to 104 are first placed on the tray and the time information when each product is returned from the customer and placed on the tray 200 are written in the electronic tag.

  (2) Based on the time information written in the electronic tag attached to each product, for example, information on how many times the customer is picking up the product is acquired. Moreover, the difference of the time which returned the goods after returning the goods which had picked up the hand most recently is calculated, and it acquires as information on the time when the customer is picking up the goods. In addition, information on the number of times the corresponding product is picked up is collected for each product. Also, purchase result information indicating whether or not the corresponding product has been purchased is collected. The collected information is accumulated in the database as purchase behavior information.

  In the present invention, as purchase behavior information, in addition to the above-described information, information on the total time taken by each product, tendency of time taking the product (for example, gradually becomes longer) Etc.), a configuration in which presentation instruction information indicating whether each customer has specified and picked up each product, or has been picked up by a store clerk and has been picked up by the customer, is stored in the database You can also take

(3) Collect customer characteristics of the customers who have taken the purchase action by input from the operator . The customer characteristic information includes, for example, information on clothes, age, accompanying person, store visit pattern, and usage of purchased products.

  (4) The purchase behavior information and customer characteristic information collected for each product are combined and stored as customer preference information.

  (5) Collect customer preference information through the procedures (1) to (3) above.

  (6) Further, in the present invention, as the store clerk response information, when the product is purchased, the information on the number of products and response time presented for each store clerk, and further, the purchased product is the last It is also possible to adopt a configuration in which the identification information of other products obtained by the customer is stored in the database even after being taken.

  (7) In the present invention, product classification information of one or a plurality of products presented to the customer together with the purchased product is created as product combination information for each product category of the purchased product, It is also possible to take a configuration that accumulates in

That is, the present invention is a customer preference information collecting apparatus that collects customer preference information that is information including at least information related to a customer's purchase behavior in a store and customer characteristic information, and each product in the store includes: At least an electronic tag in which a product identifier that uniquely identifies a product is written is attached, time information when each product is first placed on a device for presenting products to the customer , and each product but the writing and the time information of when placed again after being picked up from the device for the commodity presented, in the electronic tag of each of the items by the writing means provided in the device for the merchandise presentation, purchase behavior of customers at the time of collection of information, reading the time information and the product identifier is written in the electronic tag of each product, on the basis of the read information, about the purchase behavior of customers The information, at least, the order of each item that uniquely identifies product identifier and the customer has picked up the respective product or even the customer time or each product is picked up each of said products, Purchase behavior information collection means for collecting purchase behavior information by creating purchase behavior information including information on purchase results indicating the number of times the product has been picked up or whether each of the products has been purchased, and storing the purchase behavior information in a purchase behavior information storage device And customer characteristic information input by the operator to the customer who took the purchase behavior , and at least a product identifier for uniquely identifying the product purchased by the customer, the customer's clothes, and the customer's age Or a store clerk identifier that uniquely identifies the store clerk who has served the customer or presented to the customer in the customer's purchase behavior Create a customer characteristic information including information about the presentation number of goods, the customer characteristic information collecting means for collecting the characteristic information of the customer by storing in the customer characteristic information storage device, stored in the purchase behavior information storage device Based on the purchase behavior information and the customer property information stored in the customer property information storage device, the purchase behavior information and the customer for each product by a product identifier included in the purchase behavior information and the customer property information. by combining the characteristic information, it creates customer preference information, wherein the benzalkonium a customer preference information creation means for storing the customer preference information storage device.

In the customer preference information collecting apparatus, the present invention further includes the purchase behavior information and information including product classification information for each product identifier of each product stored in advance in the product information storage device . Product combination information creating means for creating product combination information that is product classification information of one or a plurality of products presented to the customer together with the purchased product for each product classification of the purchased product, and the customer Based on the characteristic information of the product and the purchase behavior information, for each clerk who handled the customer when the product was purchased, at least the response time and the number of items presented to the customer in the purchase behavior of the customer And a store clerk response information creating means for creating store clerk response information that is information including information.

Further, the present invention is a computer, a customer preference information collecting method of collecting customer preference information is information including the information and customer property information on purchasing behavior of customers in at least the store, each product in the store Includes an electronic tag in which a product identifier uniquely identifying at least a product is written, and time information when each of the products is first placed on a device for presenting products to the customer, the write and time information at which each product was placed again after taken up from the device for the products presented, in an electronic tag of each product by the write means provided in the device for the product presentation, the customer at the time of collection of the purchase behavior information, read the time information and the product identifier is written in the electronic tag of each product, on the basis of the read information, customers buy Which is information about actions, at least, the order of each item that uniquely identifies product identifier and the customer has picked up the respective product, or further the customers The times or the taking in hand the respective items Collecting purchase behavior information by creating purchase behavior information including information on purchase results indicating the number of times each product was picked up or whether each product was purchased, and storing the purchase behavior information in a purchase behavior information storage device ; and Customer characteristic information input by an operator to the customer who took the purchase behavior , at least a product identifier that uniquely identifies the product purchased by the customer and the customer's clothes and the customer's age, or And a clerk identifier that uniquely identifies a clerk who has served the customer, or is presented to the customer in the purchase behavior of the customer. Create a customer characteristic information including information about the presentation number of products, the step of collecting characteristic information of the customer by storing in the customer characteristic information storage device, and purchase behavior information stored in the purchase behavior information storage device Based on the customer property information stored in the customer property information storage device, the purchase behavior information and the customer property information for each product by a product identifier included in the purchase behavior information and the customer property information. combine to create a customer preference information, and wherein the Turkey which have a and storing the customer preference information storage device.

In the customer preference information collecting method, the present invention further includes the purchase behavior information and information including product classification information for each product identifier of at least each product stored in advance in a product information storage device . Generating product combination information that is product classification information of one or more products presented to the customer together with the purchased product for each product classification of the purchased product, and the customer characteristic information Based on the purchase behavior information, each store clerk who handles the customer when the product is purchased includes at least a response time and information on the number of items presented to the customer in the purchase behavior of the customer Creating clerk response information, which is information.

  The customer preference information collecting apparatus according to the present invention collects natural behavior at the time of purchase by a customer as time information. That is, according to the present invention, time information when a product is returned to the tray is written in an electronic tag attached to each product. And purchase action information is created and collected based on the written time information. Therefore, the reliability of the purchase behavior information collected by the present invention is high. Furthermore, customer preference information that combines purchase behavior information and customer characteristic information can be collected.

  For example, the customer preference information collected by the present invention can be used to search for customer purchase behavior based on customer characteristics or to search for customer characteristics based on product information. In addition, since the present invention can collect not only customer information but also store clerk's reception information, it can be used for evaluation of store clerk and can be expected to increase the store clerk's motivation.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 2 is a diagram showing an example of the configuration of the present invention. The customer preference information collection device 1 is a device that collects customer preference information in a store. The customer preference information collection device 1 includes a purchase behavior information collection unit 11, a customer characteristic information collection unit 12, a store clerk reception information creation unit 13, a product combination information creation unit 14, a customer preference information creation unit 15, and a purchase behavior information database (DB). 17, customer characteristic master 18, customer characteristic information database (DB) 19, clerk reception information database (DB) 20, product information master 21, product combination information database (DB) 22, and customer preference information database (DB) 23. In the figure, reference numeral 16 denotes an electronic tag attached to each product (not shown) in the store.

  Note that the customer preference information collection device 1 may be configured to include a module (not shown) that searches or sorts information in an arbitrary database in the customer preference information collection device 1. Further, in the embodiment of the present invention, for example, the purchase behavior information collecting unit 11 may include a product combination information creating unit 14.

  The purchase behavior information collecting means 11 collects purchase behavior information that is information indicating the purchase behavior of the customer. The purchase behavior information collecting means 11 is realized, for example, as the tray 200 as shown in FIG. 1 on which the product with the electronic tag 16 is placed, and writes information on the time when the product is placed on the electronic tag 16. Then, the purchase behavior information collection means 11 creates purchase behavior information based on the time information written in the electronic tag 16 and stores it in the purchase behavior information DB 17.

  Examples of the accumulated purchase behavior information include, as described above, information on how many times the customer is picking up the corresponding product, information on the time when the customer is picking up the corresponding product, and information on the corresponding product. Information on the number of times the product was taken, purchase result information indicating whether or not the product was purchased, information on the total time taken for each product, information on trends in the time the product was taken, and presentation instruction information Applicable.

  The customer characteristic information collecting means 12 collects customer characteristic information, which is information indicating customer characteristics, input using the customer characteristic classification information in the customer characteristic master 18 and accumulates it in the customer characteristic information DB 19. The customer characteristic information includes, for example, the customer's clothes, age, accompanying person, visit pattern of first visit or re-visit store, information on the use of the purchased product, etc. for each purchased product. Moreover, the structure which accumulate | stores the information of the number of goods shown as customer characteristic information in customer characteristic information DB19 can be taken.

  In the embodiment of the present invention, the customer characteristic information collecting unit 12 displays the customer characteristic classification information in the customer characteristic master 18 to an operator (for example, a clerk) of the customer preference information collecting apparatus 1. Can take.

  The store clerk reception information creating means 13 creates information about the store clerk's reception. That is, the clerk reception information creating means 13 receives the response for each clerk who has responded to the customer based on the customer characteristic information stored in the customer characteristic information DB 19 and the purchase behavior information stored in the purchase behavior information DB 17. Is created and stored in the store clerk response information DB 20. A data configuration example of the clerk reception information DB 20 will be described later.

  The product combination information creating unit 14 is a product that is information on a combination of product categories presented to the customer based on the purchase behavior information stored in the purchase behavior information DB 17 and the product information in the product information master 21. Combination information is created and stored in the product combination information DB 22. The product combination information corresponds to, for example, information on the product classification of the product presented when the corresponding product is purchased for each classification information of the purchased product.

  Based on the product information in the product information master 21 and the purchase behavior information stored in the purchase behavior information DB 17, the customer preference information creating means 15 creates customer preference information that is information related to the customer's preference, and the customer preference. Accumulate in the information DB 23. A data configuration example of the customer preference information DB 23 will be described later.

  The electronic tag 16 is attached to each product in the store. The electronic tag 16 is, for example, a wireless IC chip, and time information when each product is placed on the tray 200, that is, on the purchase behavior information collecting unit 11, is written.

  The purchase behavior information DB 17 stores purchase behavior information. The customer characteristic master 18 stores customer characteristic classification information. Customer characteristic information is stored in the customer characteristic information DB 19. Store clerk response information is stored in the store clerk response information DB 20. Product information is stored in the product information master 21. Product combination information is stored in the product combination information DB 22. Customer preference information is stored in the customer preference information DB 23. The merchandise information master 21 is stored in a storage unit (not shown).

  The purchase behavior information collecting means 11 includes time information writing means 111 for writing time information when a product is placed on the tray 200 to the electronic tag 16 attached to the product, and time information written to the electronic tag 16. A purchase behavior information creating unit 112 that reads out, creates purchase behavior information, and stores the purchase behavior information in the purchase behavior information DB 17 is provided.

  FIG. 3 is a diagram illustrating an example of time information written in the electronic tag. In the electronic tag 16, a product identifier for uniquely identifying the product to which each electronic tag 16 is attached is written in advance, time information when the product is first placed on the tray 200, and the product is stored in the tray 200. The time information when returning to is written. The time information when the product returns to the tray 200 is written to the electronic tag 16 by the time information writing unit 111 every time the product returns to the tray 200. In the example of the time information in the electronic tag 16 shown in FIG. 3, the time when the product returned to the first time, the time returned to the second time, and the time returned to the third time are written.

  FIG. 4 is a diagram illustrating an example of a data configuration of purchase behavior information in the purchase behavior information DB. The purchase behavior information stored in the purchase behavior information DB 17 is created for each purchase behavior of the customer. FIG. 4 illustrates an example of purchase behavior information in the case where the products presented in a certain purchase behavior are four items from product identifiers “10101” to “10104”.

  The purchase behavior information shown in FIG. 4 includes, for example, “product identifier”, “time for picking up the hand (1)” indicating the first time that the customer picks up the product, and the customer picks up the product. "Time to pick up (2)" indicating the second time being held, "Time to pick up" indicating the third time the customer is picking up the product, 1 “Order taken by hand (1)”, which indicates the order of picking up the product through all products when picked up the second time. Hand through all products when the customer picks up the product for the second time. "Order taken by hand (2)", which indicates the order taken by the customer, and "Order taken by hand (3)", which indicates the order taken by the customer through all products when the customer picks up the product for the third time. ”,“ Number of times ”indicating the number of times the product was picked up,“ Total time ”indicating the total time the product was picked up, “Trend” that indicates the trend of the time that the product is purchased, “result” that indicates whether the product was purchased, whether the product was picked up by the customer or picked up by the store clerk and presented to the customer It has a data structure such as a “presentation instruction” indicating whether or not it has been taken. In the “trend”, for example, when the time for picking up the product is gradually increased, “1” is stored, and the time for picking up the product is gradually shortened. “2” is stored, and “3” is stored when the time when the item is picked up is random (when there is no tendency).

  FIG. 5 is a diagram illustrating an example of customer characteristic classification information in the customer characteristic master. The customer characteristic master 18 has a data structure such as “master category”, “sub category”, “selection number”, and “meaning”. The “master classification” stores, for example, numbers for identifying information indicating customer attributes such as customer clothes information, age information, physical feature information, companion information, store visit pattern information, and usage information. . For example, “master category” includes “10” for clothes information, “20” for age information, “30” for physical feature information, “40” for companion information, and store visit pattern information. “50” and “60” are stored for the usage information. The usage information means information related to the usage of the product purchased by the customer (for example, whether it is a gift, a souvenir, or for self-consumption).

  The “sub-category” stores a number for identifying detailed information on customer attributes. For example, “1” is stored for the color information in the clothing information, “2” for the overall feeling, and “3” for the design classification.

  The “selection number” stores a number for identifying the specific content of the customer attribute corresponding to the number stored in the “subdivision” (content stored in a “meaning” item described later). For example, among the customer attributes of color information, the number “1” for “red”, the number “2” for “pink”, and the number “3” for “yellow” The number “4” is stored for “blue”. For example, among the age information, there is a number for identifying specific contents of the age information, such as “1” for “10's” and “2” for “early 20s”. Stored.

  In the “meaning”, information on the specific contents of the above-described customer attributes is stored. For example, information such as “large”, “medium profile”, “small” is stored as specific contents of physical feature information, and “single”, “mother”, “ Information such as “friends”, “sex” and “father” is stored. In addition, as the specific contents of the store visit pattern information, information such as “first time”, “re-visit (on the day)”, “re-visit (after the day)” is stored. “First time” indicates that the customer has visited the store for the first time, “Reincoming (on the day)” indicates that the customer has returned to the store on the same day, and “Reincoming (after the day)” indicates that the customer has changed the date. It indicates that the store has returned to the store. In addition, information such as “gift”, “souvenir”, and “self-consumption” is stored as usage information.

  Each specific content of the age information in the customer characteristic master 18 shown in FIG. 5 includes the name of a celebrity serving as a reference for judging the customer's age. For example, the name of a celebrity such as “Ryoko Hirosue” is also written in “early 20s”.

  In the embodiment of the present invention, for example, the customer characteristic information collecting unit 12 displays the customer characteristic classification information in the customer characteristic master 18 to an operator (for example, a store clerk). The operator can input the customer characteristic information to the customer characteristic information collecting means 12 by using the displayed customer characteristic classification information. For example, the operator can determine the age of the customer based on the name of the celebrity displayed, and can input the number corresponding to the age to the customer characteristic information collecting means 12. Uniformity of standards when collecting.

  FIG. 6 is a diagram illustrating a data configuration example of the customer characteristic information DB. The customer characteristic information DB 19 includes, for example, “customer identifier” which is an identifier for uniquely identifying a customer, “product identifier” which is an identifier for identifying a purchased product, “clothing information (1)”, “clothing information (2 ) ”,“ Clothing information (3) ”,“ age ”indicating customer's age information,“ physical feature ”indicating customer physical feature information,“ “accompanying person” indicating customer companion information, customer visit pattern “Purchase pattern” indicating information, “Usage” indicating usage information of the purchased product, “Clerk identifier” indicating an identifier for uniquely identifying the store clerk who handled the customer, and the product presented when the product is purchased It has a data structure such as “presentation points” indicating the number of points.

  “Clothing information (1)” indicates, for example, color information in the customer's clothing information, and “Clothing information (2)” indicates, for example, the overall feeling in the customer's clothing information. “3)” indicates, for example, the design classification in the customer's clothing information.

  “Clothing information (1)”, “Clothing information (2)”, “Clothing information (3)”, “Year”, “Physical characteristics”, “Accompanying person”, “Visit pattern”, “Usage”, etc. In the data item, for example, the number stored in the “selection number” in the customer characteristic master 18 shown in FIG. 5 is stored. For example, when the physical feature of the customer is “middle fillet”, the number “2” stored in the “selection number” corresponding to the physical feature “middle fillet” in the customer characteristic master 18. Is stored as the item content “physical features” in the customer characteristic information DB 19. In addition, the data item “clerk identifier” stores the identification number of the clerk who handled the customer.

  FIG. 7 is a diagram illustrating a data configuration example of the product information master. The product information master 21 includes, for example, a “product identifier” that is an identifier for uniquely identifying a product, a “product classification” that indicates a product classification, a “size” that indicates the size of the product, a “color” that indicates the color of the product, It has a data structure such as “price” indicating the price of the product.

  FIG. 8 is a diagram illustrating a data configuration example of the clerk reception information DB. The store clerk reception information DB 20 has, for example, a “store clerk identifier” indicating an identifier for uniquely identifying a store clerk who receives a customer, a “presentation score” indicating a score of a product presented when a product is purchased, and a customer It has a data structure such as “response time” indicating time, and “product obtained after purchase” in which an identification number of another product obtained by the customer after purchasing the product is stored.

  FIG. 9 is a diagram illustrating a data configuration example of the customer preference information DB. The customer preference information DB 23 has a data structure such as “product identifier”, “product information”, “purchase behavior information”, and “customer characteristic information”. The “Product Information” item has a data structure such as “Product Classification”, “Size”, “Color”, and “Price”, and the “Purchase Behavior Information” item indicates the number of times the customer has picked up the product. “Number of times”, “Total time” indicating the total time the customer picked up the product, “Trend” indicating the trend of the time the customer picked up the product, the customer picking up the product for the first time "The order of picking up the hand (1)", which indicates the order of picking up the product through all products, and the order of picking up the hand through all the products when the customer picks up the product for the second time Data structure such as “order taken by hand (2)” and “order taken by hand (3)” indicating the order of picking up the hand through all products when the customer picks up the product for the third time. Have.

  In addition, “customer characteristic information” items are “clothing information (1)”, “clothing information (2)”, “clothing information (3)”, “age”, “physical characteristics”, “accompanied person”, “visit” The data structure includes “pattern”, “use”, “clerk identifier”, and “presentation point”.

  FIG. 10 is a diagram illustrating a data configuration example of the product combination information DB. The product combination information DB 22 includes, for example, “purchased product category” indicating the product category of the purchased product and “sales number” indicating the number of sales (cumulative value) of products belonging to the product category stored in the “purchased product category” item. ”,“ Presentation product classification (1) ”indicating the classification of the first product presented to the customer together with the purchased product, and the classification of the second product presented to the customer together with the purchased product. It has a data structure such as “presented product category (2)” to be displayed and “presented product category (3)” to indicate the category of the third product presented to the customer together with the purchased product.

  FIG. 11 is a diagram for explaining an example of purchase behavior information collection processing and product combination information creation processing. In the processing example shown in FIG. 11, the time when the customer purchases the product is not set as the end time of the processing. In other words, it is assumed that even after the customer decides on a product to purchase, he picks up some of the product and sees it.

  First, a product is placed on the tray 200, that is, on the purchase behavior information collecting means 11 (step S1). That is, the store clerk takes out some products from the product display shelf and places them on the tray 200 in response to the customer's request or the store clerk himself.

  Next, the purchase behavior information collecting unit 11 writes time information when the product is placed on the tray 200 in the electronic tag 16 (step S2). When the product to be presented remains (step S3), the process returns to step S1, and when all the products to be presented are placed on the tray 200, the product is taken from the tray 200 (step S4). That is, the product taken from the tray 200 is delivered to the customer.

  When the product is returned to the tray 200 (step S5), the purchase behavior information collecting means 11 writes the time information when the product is placed on the tray 200 in the electronic tag (step S6). When all the products are returned to the tray 200 and are no longer taken from the tray 200 (step 7), the process proceeds to step S8, and the process returns to step S4 as long as there are still products taken from the tray 200.

  Then, when the customer's reception ends (step S8) and the customer leaves the store, purchase behavior information is created through the processing of steps S9 to S16 described later. If the customer response continues in step S8, the process returns to step S1.

  When the customer's reception is completed in step S8, the purchase behavior information collecting unit 11 calculates the order in which the customer picks up each product (step S9). That is, the purchase behavior information collecting unit 11 reads and integrates the time information in the electronic tag 16 attached to each product, and creates data as shown in FIG. 12, for example. And based on the created data, the order which picked up each goods is calculated. Note that the order calculated here is the order to be obtained through all products.

  For example, based on the data shown in FIG. 12, when the order of picking up each product is calculated, the order when the product with the product identifier “10101” is picked up for the first time is the first and second times. The order when the product is picked up is the fourth when the product is picked up for the third time, and the order when the product with the product identifier “10102” is picked up for the first time is the second. It is. The order when the product with the product identifier “10103” is picked up for the first time is the third, the order when the product is picked up with the second time is the fifth, and the product identifier “10104” The order when the product is picked up for the first time is the seventh.

  Next, the purchase behavior information collecting means 11 calculates the number of times each product has been picked up by the customer (step S10). For example, in the data shown in FIG. 12, the number of times that the product with the product identifier “10101” is picked up is 3 times, the number of times that the product with the product identifier “10102” is picked up is 1 time, and the product identifier “ It can be seen that the number of times the product of “10103” has been picked up is two, and the number of times that the product of the product identifier “10104” has been picked up is one.

  Next, the purchase behavior information collection means 11 calculates the time that each product was taken by the customer (step S11). Based on the time information shown in the data shown in FIG. 12 and the order in which each product was picked up calculated in step S9, the purchase behavior information collecting means 11 was picked up by the customer. Calculate time. For example, the first time when the product with the product identifier “10101” shown in FIG. 12 is picked up is the time when the first product (the product with the product identifier “10101”) picked up is returned to the tray. It is 3 minutes obtained by subtracting the time “14:50” when the product is first placed on the tray from “14:53”. Further, for example, the second time when the product with the product identifier “10103” is picked up is the time “15” when the fifth product (the product with the product identifier “10103”) picked up is returned to the tray. : 08 ”is the third order obtained by subtracting the time“ 15:05 ”when the fourth product (the product with the product identifier“ 10101 ”) is returned to the tray.

  By the same method, the second time for picking up the product with the product identifier “10101” is 5 minutes, the third time for picking up the product with the product identifier “10101” is 10 minutes, and the product identifier “ The first time to pick up the product “10102” is 2 minutes, the first time to pick up the product with the product identifier “10103” is 5 minutes, and the product with the product identifier “10104” is picked up. The first time is calculated as 5 minutes.

  Next, the purchase behavior information collecting means 11 calculates the total time that each product has been taken (step S12). For example, according to the calculation example described in step S11 above, the total time that the product with the product identifier “10101” was taken is 3 minutes + 5 minutes + 10 minutes = 18 minutes, and the product with the product identifier “10102” is The total time taken was 2 minutes, the total time taken for the product with the product identifier “10103” was 5 minutes + 3 minutes = 8 minutes, and the product with the product identifier “10104” was taken. The total time was 5 minutes.

  Next, the tendency of the time when the customer picks up each product is determined (step S13). For example, it is determined whether the time for picking up a product is gradually getting longer, gradually getting shorter, or the time for picking up a product is random (no trend) Is done. For example, as calculated in the above step S11, the product with the product identifier “10101” is gradually getting longer, “3 minutes”, “5 minutes”, and “10 minutes”. Also, the product with the product identifier “10103” is gradually shortened to “5 minutes” and “3 minutes”. In addition, for the product with the product identifier “10102” and the product with the product identifier “10104”, there is no trend in the time taken.

  Next, purchase result information indicating whether the product has been purchased is input to the purchase behavior information collecting means 11 (step S14). For example, “1” is input for a purchased product, and “0” is input for a product that has not been purchased.

  In addition, the purchase behavior information collecting means 11 is input with presentation instruction information indicating whether the product is designated and picked up by the customer, or selected by the clerk and presented to the customer (step). S15). For example, “1” is input as the presentation instruction information for a product designated and picked up by a customer, and “2” is input for a product selected and presented by a store clerk.

  Then, the purchase behavior information collecting unit 11 creates purchase behavior information as shown in FIG. 4 based on the processing results in the processes of steps S9 to S15, and accumulates them in the purchase behavior information DB 17 (step S16). .

  For example, the purchase behavior information collection means 11 calculates the order in which the customer picked up each product calculated in step S9 from the “order taken by hand (1)” to “hand” of the purchase behavior information shown in FIG. 4 is stored as the specific contents of the data item “order taken (3)”, and the number of times each product has been picked up by the customer calculated in step S10 is “number of times” in the purchase behavior information shown in FIG. Is stored as the specific contents of the data item.

  Further, the purchase behavior information collecting means 11 calculates, for example, the time taken for each product by the customer, calculated in step S11, as “the time (1 ) ”To“ time taken by hand (3) ”, which is stored as the specific contents of the data item. For example, the total time taken for each product calculated in step S12 is shown in FIG. It is stored as specific contents of the data item “total time” of the purchase behavior information shown.

  Further, the purchase behavior information collecting means 11 uses the number determined in step S13 according to the trend of the time when the customer picks up each product in the data item “trend” of the purchase behavior information shown in FIG. Store as specific contents. For example, “1” is used for products that are gradually getting longer, and “2” is used for items that are gradually getting shorter. “3” is stored for products that are random (no trend is seen).

  Further, the purchase behavior information collecting means 11 stores, for example, the purchase result information input in step S14 as the specific contents of the data item “result” of the purchase behavior information shown in FIG. 4, and is input in step S15. The presenting instruction information is stored as specific contents of the data item “presentation instruction” of the purchase behavior information shown in FIG. By storing the presentation instruction information, it can be used to determine whether the customer has purchased the product selected by the customer or the store clerk has purchased the product, and can be used as evaluation data for the store clerk.

  Next, the product combination information creating unit 14 creates product combination information based on the purchase behavior information and the product information in the product information master 21, and stores it in the product combination information DB 22 (step S17). For example, product combination information as shown in FIG. 10 is created. The accumulated product combination information can be used when determining an optimal combination of products recommended for purchase by the customer.

  Then, the purchase behavior information collecting unit 11 resets the time information written in each electronic tag 16 (step S18).

  FIG. 13 is a diagram for explaining an example of collection processing of customer characteristic information and creation processing of store clerk response data. First, customer characteristic information is collected through the processes in steps S21 to S30 described below, and stored in the customer characteristic information DB 19. The customer characteristic information collecting means 12 stores a customer identifier in the customer characteristic information DB 19 (step S21). For example, the customer identifier is stored in the data item “customer identifier” of the customer characteristic information shown in FIG. As a customer identifier to be stored, for example, if there is a customer member number, the member number is stored, and if it is a non-member, a temporary member number is stored.

  Next, the customer characteristic information collecting means 12 stores the clothing information in the customer characteristic information DB 19 (step S22). For example, when the color of the customer's clothes is “red”, the overall feeling is “casual”, and the design classification is “blouse”, the operator of the customer preference information collection device 1 (for example, a clerk) is displayed. Referring to the information in the customer characteristic master 18 shown in FIG. 5, numbers corresponding to “red”, “casual”, and “blouse” (numbers stored in the “selection number” item) are input. . The customer characteristic information collecting means 12 stores the input number in the customer characteristic information DB 19.

  For example, “1”, which is a number corresponding to “red”, is stored in “clothing information (1)” of the customer characteristic information shown in FIG. 6, and “casual” is corresponded to “clothing information (2)”. The number “1” is stored, and “2” which is the number corresponding to “blouse” is stored in “clothes information (3)”.

  Next, the customer characteristic information collecting means 12 stores the age information in the customer characteristic information DB 19 (step S23). For example, when the customer's appearance is in the early 20s, the operator of the customer preference information collecting apparatus 1 refers to the displayed information in the customer characteristic master 18 shown in FIG. “2”, which is a number corresponding to the data item “early 20s” (the number stored in the “selection number” item), is input as age information. The customer characteristic information collecting means 12 stores the input number “2” as the specific contents of the data item “age” of the customer characteristic information shown in FIG.

  Next, the customer characteristic information collecting means 12 stores physical feature information in the customer characteristic information DB 19 (step S24). For example, when the physical feature of the customer is “small”, the operator of the customer preference information collecting apparatus 1 refers to the displayed information in the customer characteristic master 18 shown in FIG. “3”, which is a number corresponding to the “small” data item (the number stored in the “selection number” item), is input as physical feature information. The customer characteristic information collecting means 12 stores the input number “3” as the specific contents of the data item “physical feature” of the customer characteristic information shown in FIG.

  Next, the customer characteristic information collecting means 12 stores the accompanying person information in the customer characteristic information DB 19 (step S25). For example, when the customer companion is “mother”, the operator of the customer preference information collecting apparatus 1 refers to the displayed information in the customer characteristic master 18 shown in FIG. “2”, which is the number corresponding to the “mother” of the item (the number stored in the “selected number” item), is input as accompanying person information. The customer characteristic information collecting means 12 stores the input number “2” as the specific contents of the data item “accompanied person” of the customer characteristic information shown in FIG.

  Next, the customer characteristic information collecting means 12 stores the store visit pattern information in the customer characteristic information DB 19 (step S26). For example, when the customer visits the store again on that day, the operator of the customer preference information collecting apparatus 1 refers to the displayed information in the customer characteristic master 18 shown in FIG. “2”, which is the number corresponding to “Reincoming (on the day)” (the number stored in the “Selection Number” item), is input as store visit pattern information. The customer characteristic information collecting means 12 stores the input number “2” as specific contents of the data item “visit pattern” of the customer characteristic information shown in FIG.

  Next, the customer characteristic information collecting means 12 stores the usage information in the customer characteristic information DB 19 (step S27). For example, when the product purchased by the customer is a souvenir, the operator of the customer preference information collecting apparatus 1 refers to the displayed information in the customer characteristic master 18 shown in FIG. “2” that is a number corresponding to the “souvenir” of the data item (a number stored in the “selection number” item) is input as usage information. The customer characteristic information collecting means 12 stores the input number “2” as the specific contents of the data item “use” of the customer characteristic information shown in FIG.

  As described above, the information stored in the customer characteristic information DB 19 in the processing from step S22 to step S27 is stored in the customer characteristic information collecting unit 12 by an operator who refers to the customer characteristic master 18 shown in FIG. It is the information that was input. By inputting customer characteristic information using the customer characteristic master 18, the input load on the operator is reduced, and variations in input contents due to individual differences are eliminated, so that highly accurate customer characteristic information can be collected.

  Next, the customer characteristic information collecting means 12 stores the product identifier of the purchased product in the customer characteristic information DB 19 (step S28). That is, the customer characteristic information collecting means 12 refers to the purchase behavior information in the purchase behavior information DB 17 and purchases the product purchased in each purchase behavior (for example, in the purchase behavior information shown in FIG. 4, the product identifier is “10101”. For example, the “product identifier” item of the customer characteristic information shown in FIG.

  Next, the customer characteristic information collecting means 12 stores the store clerk identifier in the customer characteristic information DB 19 (step S29). For example, the customer characteristic information collecting means 12 stores the inputted clerk identifier for identifying the clerk who has received the customer as the specific contents of the data item “clerk identifier” of the customer characteristic information shown in FIG.

  Next, the customer characteristic information collecting means 12 stores the point of the presented product when the product is purchased as the presentation point information in the customer characteristic information DB 19 (step S30). For example, the customer characteristic information collection means 12 refers to the purchase behavior information corresponding to the purchase behavior, acquires the presentation point information, and the specific contents of the data item “presentation point” of the customer characteristic information shown in FIG. Store as. For example, in the purchase behavior information shown in FIG. 4, since the product identifiers of the four products are stored as the identifiers of the presented products, “4” is added to the data item “presentation score” of the customer characteristic information. Stored.

  Next, the clerk reception information creation means 13 creates clerk reception information and stores it in the clerk reception information DB 20 (step S31). For example, the store clerk reception information creating means 13 refers to the customer characteristic information DB 19 shown in FIG. 6 and stores the store clerk identifier “001” of the store clerk who has responded to the customer when the product with the product identifier “10101” is purchased. And the presentation score “4” corresponding to the clerk identifier “001” in the customer characteristic information DB 19 shown in FIG. 6 is stored in the clerk reception information DB 20. In addition, the reception time of each clerk in the purchase behavior is calculated with reference to the purchase behavior information and stored in the clerk response information DB 20. For example, in the purchase behavior information shown in FIG. 4, the total time stored in the data item “total time” corresponding to each product identifier is 18 + 2 + 8 + 5 = 33. “33” is stored in the data item.

  Further, the store clerk response information creating means 13 refers to the purchase behavior information in the purchase behavior information DB 17 and acquires the product identifier of another product that was picked up after the purchased product was picked up at the end. Then, the acquired product identifier is stored as the specific content of the data item “product purchased after purchase” of the clerk reception information shown in FIG. 8, for example. For example, in the purchase behavior information shown in FIG. 4, after the purchased product with the product identifier “10101” is picked up last (third time), the product with the product identifier “10104” is still in hand. It can be seen that Therefore, for example, the product identifier “10104” is stored as the specific contents of the data item “product purchased after purchase” of the clerk reception information shown in FIG.

  FIG. 14 is a diagram for explaining an example of processing for accumulating customer preference information in the customer preference information DB. The customer preference information creating means 15 reads the purchase behavior information DB 17, acquires the product identifier of the product purchased in the purchase behavior, and stores it in the customer preference information DB 23 (step S41). Further, the customer preference information creating means 15 acquires purchase behavior information about the purchased product from the purchase behavior information DB 17 and stores it in the customer preference information DB 23 (step S42). For example, the customer preference information creating means 15 selects “number of times”, “total time”, “trend”, “hand” corresponding to the product identifier “10101” of the purchased product based on the purchase behavior information shown in FIG. The information stored in the data items “order taken (1)”, “order taken (2)”, “order taken (3)”, for example, the customer preference information DB 23 shown in FIG. Is stored as specific contents of the data item “purchase behavior information”.

  Next, the customer preference information creating unit 15 refers to the product information master 21, acquires product information corresponding to the product identifier stored in step S41, and stores it in the customer preference information DB 23 (step S43).

  Further, the customer preference information creating means 15 reads the customer property information DB 19 to acquire customer property information when the product is purchased and stores it in the customer preference information DB 23 (step S44). For example, the customer preference information creating means 15 obtains “clothing information (1)”, “clothing information (2)”, “clothing information (3) corresponding to the product identifier“ 10101 ”of the purchased product from the customer characteristic information DB 19. ) ”,“ Age ”,“ physical features ”,“ accompanied person ”,“ store visit pattern ”,“ use ”,“ store clerk identifier ”, the information stored in the data items is acquired, and the customer preference shown in FIG. It is stored as specific contents of the data item “customer characteristic information” of the information.

  In the following, a specific embodiment of the present invention will be described by taking, for example, a case where a customer A, a customer B, and a customer C purchase products as an example. For example, customer A purchases a ring from three presented products, customer B purchases a brooch from five presented products, and customer C purchases a brooch from seven presented products. Assume that you have purchased.

  After the customer A purchases the ring, the purchase behavior information collecting means 11 collects and integrates the time information written in the electronic tag 16 attached to each product, for example, creates data as shown in FIG. To do. In FIG. 15, a product identifier “10103” is a product identifier of a ring that is a purchased product.

  Further, the purchase behavior information collecting means 11 creates purchase behavior information of the customer A as shown in FIG. 16 based on the data content shown in FIG. 15 and stores it in the purchase behavior information DB 17. Further, the customer characteristic information collecting means 12 creates, for example, customer characteristic information as shown in FIG. 17 and stores it in the customer characteristic information DB 19.

  Similarly, after the customer B purchases the broach, the purchase behavior information collecting means 11 collects and integrates the time information written in the electronic tag 16 attached to each product. For example, as shown in FIG. The correct data. In FIG. 18, the product identifier “10104” is a product identifier of a brooch that is a purchased product. Further, for example, purchase behavior information of the customer B as shown in FIG. 19 is created and stored in the purchase behavior information DB 17. Further, for example, customer characteristic information of the customer B as shown in FIG. 20 is created and stored in the customer characteristic information DB 19.

  Similarly, after the customer C purchases the broach, the purchase behavior information collecting means 11 collects and integrates the time information written in the electronic tag 16 attached to each product, for example, as shown in FIG. The correct data. In FIG. 21, the product identifier “10104” is a product identifier of a brooch that is a purchased product. Further, for example, purchase behavior information of the customer C as shown in FIG. 22 is created and stored in the purchase behavior information DB 17. Further, for example, as shown in FIG. 23, customer characteristic information of the customer C is created and stored in the customer characteristic information DB 19.

  Here, as described above, when the customer preference information collection device 1 is configured to include a module for searching or sorting information in an arbitrary database in the customer preference information collection device 1, the module is used to Can be analyzed.

  For example, the purchase behavior information of the customer A, the purchase behavior information of the customer B, and the purchase behavior information of the customer C in the purchase behavior information DB 17 are merged to create, for example, data as shown in FIG. Then, by sorting the product identifiers in ascending order, for example, data as shown in FIG. 25 is created.

  Looking at the data contents shown in FIG. 25, it can be seen that two products with the product identifier “10104” and one product with the product identifier “10103” have been purchased. In addition, the number of times each product was picked up was 2 times, and the order in which it was picked up for the first time was the fourth for the product with the product identifier “10104” and 3 for the product with the product identifier “10103”. You can see that In addition, some products are picked up three times, but it is understood that they have not been purchased.

  Therefore, for example, it can be seen that there is a higher probability that a product taken in the middle order is purchased than a product obtained for the first time. It can also be seen that the purchase probability is higher when the number of times of picking up is two.

  Furthermore, it can be seen from the data content shown in FIG. 25 that many purchased products are specified by the customer.

  Next, an application example of customer preference information collected by the present invention will be described. For example, if you want to know an efficient sales method for customers in their early 30s, for example, if you search for a record in which “4” is stored in the data item “age” of the customer preference information shown in FIG. Data that is useful in determining what items are presented to customers in what order and the probability of purchase is high. In addition, data that is useful for customers in this age group to determine what products should be presented in what clothes. Therefore, the data obtained as a result of the search can be used as basic data for a store clerk's instruction manual.

  Further, the customer preference information collected by the present invention is useful for grasping the best selling of a specific product. For example, if customer preference information is searched for a specific product category, data useful for grasping at what age it is sold can be obtained. In addition, it is possible to obtain data that is useful for grasping the best-selling items according to fashionable clothing such as what kind of clothing should be matched with this product. Therefore, the data obtained as a result of the search can be used for product planning.

  Further, the customer preference information collected by the present invention is useful for grasping the purchased item according to the customer's use. For example, if the customer preference information shown in FIG. 9 is searched for a specific use, it is useful for grasping which product is often sold as a souvenir and which product is often sold as a gift. Data is obtained.

  In addition, if the clerk response information created by the present invention is searched for a specific clerk identifier, it is possible to grasp the response time at the time of purchase by the customer and the number of products presented, which leads to the clerk's behavior evaluation. It becomes possible. Furthermore, if you search for clerk response information, you will be able to know information about other products that you have obtained even after you have picked up the purchased product. Can be used as That is, when a certain product is purchased, it is possible to grasp which product may be purchased at the next visit.

  The present invention can also be implemented as a program that is read and executed by a computer. The program for realizing the present invention can be stored in an appropriate recording medium such as a portable medium memory, a semiconductor memory, or a hard disk, which can be read by a computer, provided by being recorded on these recording media, or communication. It is provided by transmission / reception using a network via an interface.

  As can be understood from the above, the features of the embodiment of the present invention are described as follows.

(Supplementary Note 1) A customer preference information collecting apparatus that collects customer preference information that is information including at least information related to customer purchase behavior in a store and customer characteristic information,
An electronic tag is attached to each product in the store,
Write the time information when each product is first presented to the customer and the time information when each product is returned from the customer in the electronic tag of each product, and in the electronic tag of each product Purchase behavior information collection means for collecting purchase behavior information, which is information related to the purchase behavior of the customer, based on the written time information;
Customer characteristic information collecting means for collecting inputted customer characteristic information;
Customer preference information creating means for creating the customer preference information based on the collected purchase behavior information and customer characteristic information,
The purchase behavior information is, for each product presented to the customer in the purchase behavior of the customer, at least a product identifier that uniquely identifies each product, a time when the customer picks up each product, Including the order in which the customer picked up each product, the number of times each product was picked up, and information on the purchase result indicating whether each product was purchased;
The customer characteristic information includes at least a product identifier that uniquely identifies the product purchased by the customer, the clothes of the customer, the age of the customer, a store clerk identifier that uniquely identifies the store clerk who has served the customer, A customer preference information collecting device comprising information related to the number of items presented to a customer in purchase behavior.

(Supplementary Note 2) In the customer preference information collecting apparatus described in Supplementary Note 1,
Based on the purchase behavior information and information including at least product classification information for each product identifier stored in the storage means in advance, along with the purchased products for each product classification of the purchased products Product combination information creating means for creating product combination information that is product classification information of one or more products presented to the customer;
Based on the customer characteristic information and the purchase behavior information, for each clerk who deals with the customer when the product is purchased, at least the reception time and the presentation of the product presented to the customer in the customer purchase behavior A customer preference information collecting device comprising: clerk reception information creating means for creating clerk reception information that is information including information related to points.

(Supplementary Note 3) A customer preference information collecting method for collecting customer preference information, which is information including at least information related to customer purchase behavior in a store and customer characteristic information,
An electronic tag is attached to each product in the store,
Write the time information when each product is first presented to the customer and the time information when each product is returned from the customer in the electronic tag of each product, and in the electronic tag of each product Collecting purchase behavior information, which is information about the customer's purchase behavior, based on the written time information;
Collecting input customer characteristic information;
Creating the customer preference information based on the collected purchase behavior information and customer characteristic information;
The purchase behavior information is, for each product presented to the customer in the purchase behavior of the customer, at least a product identifier that uniquely identifies each product, a time when the customer picks up each product, Including the order in which the customer picked up each product, the number of times each product was picked up, and information on the purchase result indicating whether each product was purchased;
The customer characteristic information includes at least a product identifier that uniquely identifies the product purchased by the customer, the clothes of the customer, the age of the customer, a store clerk identifier that uniquely identifies the store clerk who has served the customer, A method for collecting customer preference information, comprising information related to the number of items presented to a customer in purchase behavior.

(Supplementary note 4) In the customer preference information collecting method described in supplementary note 3,
Based on the purchase behavior information and information including at least product classification information for each product identifier stored in the storage means in advance, along with the purchased products for each product classification of the purchased products Creating product combination information that is product classification information of one or more products presented to a customer;
Based on the customer characteristic information and the purchase behavior information, for each clerk who deals with the customer when the product is purchased, at least the reception time and the presentation of the product presented to the customer in the customer purchase behavior A method for collecting customer preference information, comprising the step of: creating salesclerk reception information that is information including information related to points.

(Additional remark 5) It is a program for making the computer of the customer preference information collection apparatus which collects the customer preference information which is the information containing the information regarding the purchase behavior of the customer in a store and the customer's characteristic information at least,
An electronic tag is attached to each product in the store,
The computer,
Write the time information when each product is first presented to the customer and the time information when each product is returned from the customer in the electronic tag of each product, and within the electronic tag of each product Purchase behavior information collection means for collecting purchase behavior information, which is information related to the purchase behavior of the customer, based on the written time information;
Customer characteristic information collecting means for collecting inputted customer characteristic information;
A program for functioning as customer preference information creating means for creating the customer preference information based on the collected purchase behavior information and customer characteristic information,
The purchase behavior information is, for each product presented to the customer in the purchase behavior of the customer, at least a product identifier that uniquely identifies each product, a time when the customer picks up each product, Including the order in which the customer picked up each product, the number of times each product was picked up, and information on the purchase result indicating whether each product was purchased;
The customer characteristic information includes at least a product identifier that uniquely identifies the product purchased by the customer, the clothes of the customer, the age of the customer, a store clerk identifier that uniquely identifies the store clerk who has served the customer, A customer preference information collection program characterized by including information related to the number of items presented to customers in purchase behavior.

(Appendix 6) In the customer preference information collection program described in Appendix 5,
The computer,
Based on the purchase behavior information and information including at least product classification information for each product identifier stored in the storage means in advance, along with the purchased products for each product classification of the purchased products Product combination information creating means for creating product combination information that is product classification information of one or more products presented to the customer;
Based on the customer characteristic information and the purchase behavior information, for each clerk who deals with the customer when the product is purchased, at least the reception time and the presentation of the product presented to the customer in the customer purchase behavior A customer preference information collection program for functioning as a clerk reception information creating means for creating clerk reception information that is information including information on the score.

(Supplementary note 7) Computer-readable recording of a program to be executed by a computer of a customer preference information collecting apparatus that collects customer preference information that is information including at least information on purchase behavior of a customer in a store and customer characteristic information A recording medium,
An electronic tag is attached to each product in the store,
The computer,
Write the time information when each product is first presented to the customer and the time information when each product is returned from the customer in the electronic tag of each product, and in the electronic tag of each product Purchase behavior information collection means for collecting purchase behavior information, which is information related to the purchase behavior of the customer, based on the written time information;
Customer characteristic information collecting means for collecting inputted customer characteristic information;
A program for functioning as customer preference information creating means for creating the customer preference information based on the collected purchase behavior information and customer characteristic information,
The purchase behavior information is, for each product presented to the customer in the purchase behavior of the customer, at least a product identifier that uniquely identifies each product, a time when the customer picks up each product, Including the order in which the customer picked up each product, the number of times each product was picked up, and information on the purchase result indicating whether each product was purchased;
The customer characteristic information includes at least a product identifier that uniquely identifies the product purchased by the customer, the clothes of the customer, the age of the customer, a store clerk identifier that uniquely identifies the store clerk who has served the customer, The recording medium which recorded the customer preference information collection program characterized by including the information regarding the presentation score of the goods shown with respect to the customer in purchase behavior.

(Supplementary note 8) In the recording medium on which the customer preference information collecting program described in supplementary note 7 is recorded,
The computer,
Based on the purchase behavior information and information including at least product classification information for each product identifier stored in the storage means in advance, along with the purchased products for each product classification of the purchased products Product combination information creating means for creating product combination information that is product classification information of one or more products presented to the customer;
Based on the customer characteristic information and the purchase behavior information, for each clerk who deals with the customer when the product is purchased, at least the reception time and the presentation of the product presented to the customer in the customer purchase behavior The recording medium which recorded the customer preference information collection program for functioning as a salesclerk reception information creation means which produces the salesclerk reception information which is information including the information regarding a score.

  INDUSTRIAL APPLICABILITY The present invention can be used for face-to-face sales between a customer and a store clerk in a store selling expensive precious metals such as luxury watches, luxury glasses, luxury stationery, and luxury clothing.

It is a figure which shows the goods placed on the tray. It is a figure which shows an example of a structure of this invention. It is a figure which shows an example of the time information written in an electronic tag. It is a figure which shows an example of a data structure of the purchase action information in purchase action information DB. It is a figure which shows the example of the classification information of the customer characteristic in a customer characteristic master. It is a figure which shows the example of a data structure of customer characteristic information DB. It is a figure which shows the data structural example of a merchandise information master. It is a figure which shows the data structural example of salesclerk reception information DB. It is a figure which shows the data structural example of customer preference information DB. It is a figure which shows the data structural example of goods combination information DB. It is a figure explaining an example of collection processing of purchase action information, and creation processing of merchandise combination information. It is a figure which shows the example of data obtained as a result of integration of the time information in an electronic tag. It is a figure explaining an example of collection processing of customer characteristic information, and creation processing of salesclerk reception data. It is a figure explaining an example of the process which accumulate | stores customer preference information in customer preference information DB. It is a figure which shows the example of data obtained as a result of integration of the time information in an electronic tag. It is a figure which shows an example of purchase action information DB. It is a figure which shows an example of customer characteristic information DB. It is a figure which shows the example of data obtained as a result of integration of the time information in an electronic tag. It is a figure which shows an example of purchase action information DB. It is a figure which shows an example of customer characteristic information DB. It is a figure which shows the example of data obtained as a result of integration of the time information in an electronic tag. It is a figure which shows an example of purchase action information. It is a figure which shows an example of customer characteristic information. It is a figure which shows an example of the data obtained by merging purchase action information. It is a figure which shows the example of a sort of the data obtained by merging purchase action information.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Customer preference information collection apparatus 11 Purchase action information collection means 12 Customer characteristic information collection means 13 Salesclerk reception information creation means 14 Product combination information creation means 15 Customer preference information creation means 16 Electronic tag 17 Purchase action information DB
18 Customer characteristic master 19 Customer characteristic information DB
20 Sales clerk reception information DB
21 Product information master 22 Product combination information DB
23 Customer preference information DB
100, 101, 102, 103, 104 Product 111 Time information writing means 112 Purchasing action information creating means 200 Tray

Claims (4)

A customer preference information collecting device that collects customer preference information, which is information including at least information related to customer purchase behavior in a store and customer characteristic information,
Each product in the store has an electronic tag in which a product identifier that uniquely identifies the product is written ,
Time information when each product is first placed on the device for product presentation to the customer , and time information when each product is placed again after being picked up from the device for product presentation The time information written in the electronic tag of each product and the product identifier at the time of collecting the customer purchase behavior information by writing in the electronic tag of each product by the writing means provided in the device for product presentation And at least a product identifier for uniquely identifying each product and the order in which the customer picked up each product, or further the customer based on the read information. Purchase including information about the time when each item is picked up, the number of times each item is picked up or the purchase result indicating whether each item is purchased And purchase behavior information collecting means for collecting the purchasing behavior information by creating a dynamic information, stored in the purchase behavior information storage device,
Customer characteristic information input by an operator to the customer who took the purchase behavior , at least a product identifier that uniquely identifies the product purchased by the customer and the customer's clothes and the customer's age, or Further, a customer characteristic information storage device that creates customer characteristic information including a clerk identifier that uniquely identifies a clerk who serves the customer or information related to the number of items presented to the customer in the purchase behavior of the customer, a customer characteristic information collecting means for collecting the characteristic information of the customer by storing in,
Based on the purchase behavior information stored in the purchase behavior information storage device and the customer property information stored in the customer property information storage device, the product identifier included in the purchase behavior information and the customer property information and coupling the said purchase behavior information for each product the customer characteristic information, it creates customer preference information, customer preference information, wherein the Ru and a customer preference information creation means for storing the customer preference information storage device Collection device. The customer preference information collecting apparatus according to claim 1, further comprising:
Based on the purchase behavior information and information that is stored in advance in the product information storage device and includes at least product classification information for each product identifier of each product, a purchase is made for each product category of the purchased product. Product combination information creating means for creating product combination information that is product classification information of one or more products presented to the customer together with the products;
Based on the customer characteristic information and the purchase behavior information, for each clerk who deals with the customer when the product is purchased, at least the reception time and the presentation of the product presented to the customer in the customer purchase behavior A customer preference information collecting device comprising: clerk reception information creating means for creating clerk reception information that is information including information related to points. A computer is a customer preference information collection method for collecting customer preference information, which is information including at least information related to customer purchase behavior in a store and customer characteristic information,
Each product in the store has an electronic tag in which a product identifier that uniquely identifies the product is written ,
Time information when each product is first placed on the device for product presentation to the customer , and time information when each product is placed again after being picked up from the device for product presentation The time information written in the electronic tag of each product and the product identifier at the time of collecting the customer purchase behavior information by writing in the electronic tag of each product by the writing means provided in the device for product presentation And at least a product identifier for uniquely identifying each product and the order in which the customer picked up each product, or further the customer based on the read information. Purchase including information about the time when each item is picked up, the number of times each item is picked up or the purchase result indicating whether each item is purchased And collecting the purchasing behavior information by creating a dynamic information, stored in the purchase behavior information storage device,
Customer characteristic information entered by an operator for the customer who has taken the purchase behavior , at least a product identifier that uniquely identifies the product purchased by the customer and the clothes of the customer and the age of the customer, or Further, a customer characteristic information storage device that creates customer characteristic information including a clerk identifier that uniquely identifies a clerk who serves the customer or information related to the number of items presented to the customer in the purchase behavior of the customer, Collecting customer characteristic information by storing in
Based on the purchase behavior information stored in the purchase behavior information storage device and the customer property information stored in the customer property information storage device, the product identifier included in the purchase behavior information and the customer property information and coupling the said purchase behavior information for each product the customer characteristic information, creates customer preference information, customer preference information collecting method characterized by that having a and storing the customer preference information storage device. The customer preference information collecting method according to claim 3, further comprising:
Based on the purchase behavior information and information that is stored in advance in the product information storage device and includes at least product classification information for each product identifier of each product, a purchase is made for each product category of the purchased product. Creating product combination information that is product classification information for one or more products presented to the customer along with the products;
Based on the customer characteristic information and the purchase behavior information, for each clerk who deals with the customer when the product is purchased, at least the reception time and the presentation of the product presented to the customer in the customer purchase behavior A method for collecting customer preference information, comprising the step of: creating salesclerk reception information that is information including information related to points.

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