JP2007048324A - Vending machine system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To collect information through vending machines by paying attention to consumers who purchase commodities and achieve a new sales analysis based on the information thus obtained. <P>SOLUTION: A vending machine 100 and an information control server 830 perform a sales analysis method by using this vending machine system having a configuration connected through a network. The vending machine 100 transmits, after accepting data carrier presented by users 200 and extracting user information, sales information including at least the user information and information on the names of sold commodities, sales dates, or sales places to the information control server 830. The information control server 830 classifies the sales information for each user in the information control part 840, and prepares commodity purchase history information for each user. An information analysis part 833 performs a sales analysis based on the commodity purchase history information for each user. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a vending machine system that sells products through a vending machine based on monetary value information.

  Techniques for collecting information from the market and using it for sales analysis have been extensively studied. However, many of these have been aimed at grasping the sales quantity, the inventory quantity, etc. for each product, as represented by the POS system (point-of-sale information management). In such a technology, information is collected and utilized from the viewpoint of a company that provides products, and it has been difficult to perform sales analysis by focusing on consumers who purchase products.

  On the other hand, in recent years, a method of using an electronic money card storing electronic money instead of cash is being studied in a product sales system using vending machines. In this method, a predetermined amount of electronic money is supplemented in advance to your electronic money card, and when you purchase products using a vending machine, you can make a payment by presenting this card to the vending machine. (Patent Document 1). As described above, in the sales method using electronic money, there is a process in which the vending machine acquires user information, so the relationship between the vending machine and the user is closer than before. .

  Under such circumstances, a technique has been studied in which a vending machine is regarded as a terminal on a network and advertisements are distributed to users (Patent Document 2). However, the technology that uses vending machines as a means of collecting sales information has not yet been fully studied, and in particular, vending machines are used as information collecting means that focus on consumers who purchase products. Few examples have been examined for techniques to do this.

JP 2002-92702 A JP 2001-307189 A

  On the other hand, as the one-to-one business grows, the sense of distance between customers and the front end is shrinking. As a result, the importance of the customer evaluation method is increased, and it is required to improve the accuracy of basic information necessary for the customer evaluation.

  The present invention has been made in view of the above circumstances, collecting information through a vending machine with a focus on the consumer side who purchases a product, and performing a new sales analysis that has not been conventionally performed based on the obtained information. It aims to be realized.

According to the present invention, a vending machine system having a configuration in which a vending machine and an information management server are connected via a network,
The vending machine accepts the data carrier presented by the user, sells the product in response to the user's request, and information on the name of the sold product, the date and time of sale or the sales location, and the data carrier Send sales information including at least the extracted user information to the information management server,
There is provided a vending machine system, wherein the information management server accumulates the sales information, classifies the accumulated user information for each user, and creates product purchase history information for each user. The

  In this vending machine system, the information management server may be configured to perform sales analysis based on the user-specific product purchase history information.

  In the vending machine system, the sales information may include information related to advertisement content presented to a user by the vending machine when the product is sold.

Furthermore, according to the present invention, a vending machine system having a configuration in which a vending machine and an information management server are connected via a network,
The vending machine is:
Purchase request receiving means for receiving a product purchase request from a user, user information reading means for reading user information from the presented data carrier, product payout means for paying out the product, name of the sold product, date and time of sale Or a transmission means for transmitting sales information including at least information on a sales location and user information extracted from the data carrier to an information management server,
The information management server;
Sales information storage means for storing the sales information;
Purchase history creation means for classifying the sales information stored in the sales information storage means for each user and creating product purchase history information for each user;
An automatic vending machine system is provided.

  In the vending machine system, the information management server may further include a sales analysis unit that performs sales analysis based on the user-specific product purchase history information.

  In the vending machine system, the sales information may include information related to advertisement content presented to a user by the vending machine when the product is sold.

  According to the present invention, user information associated with sales information is accumulated in the information management server, and product purchase history information for each user is created from the accumulated information. can get.

  In this vending machine system, the sales analysis unit can analyze the influence of the presented advertising content on the purchasing activity based on the sales information. The analysis may be performed for each user, or may be performed for each group by dividing the users into groups according to customer demographics, gender, and preferences.

  ADVANTAGE OF THE INVENTION According to this invention, based on the analysis result of the advertising effect for every user, the optimal advertising content for the user can be selected. That is, it is possible to create a one-to-one marketing form with a vending machine as the front end.

  In this vending machine system, the information management server may further include related information collection means for acquiring related information used for the sales analysis via a network different from the network, and the sales analysis means includes the sales analysis means, The sales analysis can be performed based on the user-specific product purchase history information and the related information.

  According to the present invention, this system enables multi-faceted analysis based on user-specific product purchase history and related information such as user preferences, and accuracy of basic information required for customer evaluation. Can be improved.

  In this vending machine system, the vending machine further includes detection means for detecting the remaining number of products, and a display processing unit that selectively displays the advertisement content to be presented according to the remaining number. Can do.

  ADVANTAGE OF THE INVENTION According to this invention, when goods are missing, it can prevent displaying the advertisement of the goods, and sales of goods which are not missing can be promoted.

  In this vending machine system, the information management server may further include a presentation condition generation unit that generates a presentation condition for the advertisement content according to the result of the sales analysis.

  ADVANTAGE OF THE INVENTION According to this invention, the display of the advertisement according to the customer layer using each vending machine is attained.

  In this vending machine system, the display processing unit may include a selection unit that selects advertisement content to be presented to the user based on the presentation condition and the remaining number.

  According to the present invention, it is possible to prevent display of advertisement content related to a missing product.

  According to the present invention, there is also provided a sales analysis method using a vending machine system having a configuration in which a vending machine and an information management server are connected via a network, wherein the vending machine is presented by a user. Sales information that accepts the data carrier and sells the product in response to the user's request, and includes at least information on the name, date and time or place of sale of the sold product, and user information extracted from the data carrier To the information management server, the information management server accumulates the sales information, classifies the accumulated user information for each user, creates product purchase history information for each user, There is provided a sales analysis method characterized in that sales analysis is performed based on product purchase history information.

  According to the present invention, there is also provided a sales analysis method using a vending machine system having a configuration in which a vending machine and an information management server are connected via a network, wherein the vending machine is presented by a user. Receiving the data carrier, presenting the advertising content to the user, selling the product in response to the user's request, information on the name of the sold product, the date and time of sale, or the sales location, and information on the advertising content , Transmitting sales information including at least user information extracted from the data carrier to an information management server, the information management server storing the sales information, and classifying the stored user information for each user. Product sales history information for each user, and sales analysis is performed based on the product purchase history information for each user. A method is provided.

  According to these sales analysis methods, sales analysis is performed based on the product purchase history information for each user, so it is possible to analyze from a new perspective that has never been seen before, and it is a useful guideline for launching new products and presenting advertisements. Is obtained.

  Technology that uses information collected from the market for sales trend analysis has been extensively studied, but many of these technologies statistically analyze sales information as represented by the POS system (point-of-sales information management). In addition, the information itself is limited to one aspect of consumption activity. On the other hand, in the present invention, product purchase history information is created and used to collect purchase information over a certain period and realize multi-dimensional information analysis.

  The present invention uses not only static information such as age and gender, but also dynamic information such as product purchase history, so that what kind of products the user has purchased in the past, or touches advertisements. Or sales analysis that has been difficult to realize in the past, such as how product preferences have changed due to contact with new products. Such sales analysis provides the following benefits:

  First, it can be determined whether the product purchaser is a fixed customer or a liquid customer. As described above, methods for analyzing product preferences and consumption trends by customer group classified by age and sex have often been used. On the other hand, according to the present invention, it is possible to perform analysis for each customer group from a new viewpoint of whether it is a fixed customer or a current customer. By analyzing the sales performance of products provided by companies by dividing them into such customer segments, it is possible to obtain effective guidelines for future advertising and new product development. Furthermore, by adding customer evaluation information obtained by using the company WAN, it is possible to perform more appropriate customer value calculation and obtain effective guidelines according to the value.

  Secondly, it is possible to accurately know customer needs for new products, and to accurately determine what products should be introduced in which season. Even in such a judgment, it is important to grasp customer needs by customer base of fixed customers and current customers. Further, for example, the product turnover rate in a vending machine that provides an advertisement related to a new product can be analyzed for each consumption layer. Similarly, it is possible to provide effective advertisements based on trends in new product sales in a predetermined area where the vending machine is installed. Further, the advertising effect can be analyzed together with the above analysis.

  Third, it is possible to accurately grasp the effect of advertisement. Conventionally, ARF (Advertising Research Foundation) media evaluation models and CPM (Cost Per Mill) have been widely known as methods for measuring advertising effects, but these evaluation methods are related to media exposure. It was based on the degree to reach the recipient. Therefore, it is difficult to understand how advertising recipients are affected by advertising and how product preferences have changed. Moreover, it is difficult to understand such changes for each consumer. It was extremely difficult. According to the present invention, the sales analysis using the product purchase history information can be realized, so that the effect of the advertisement can be accurately grasped. For example, since there are significant changes in the product turnover rate for new product brands, that is, changes in the product storage inventory, vending machines promptly send server information about shortage information and missing item information for these new products. The information is stored in the internal memory. As a result, when the advertising content prepared by the server is displayed on the display means of the vending machine, the vending machine selectively displays the advertising content related to the product that is not missing by referring to the missing item information. it can.

  As described above, according to the present invention, since the product purchase history for each user is grasped, it is possible to perform a new sales analysis that is not possible in the past, and to obtain an effective guideline for planning a sales strategy and an advertising strategy. Become.

  The configuration and operation of the present invention have been described above. However, any combination of these configurations, or the expression of the present invention converted between a method, an apparatus, a system, a recording medium, a computer program, and the like can also be used. This is effective as an aspect of the invention.

  As described above, according to the present invention, value information associated with sales information is stored in the information management server, and product purchase history information for each user is created from the stored value information. Useful information can be obtained. In addition, customer analysis can be performed according to RFM theory. Furthermore, sales analysis can be performed together with analysis of advertising effectiveness.

  The “product” in the present invention is not limited to the form of an article, and includes services and information.

  The “user” in the present invention refers to a person who purchases a product using the vending machine in the present invention.

  “Advertising content” in the present invention refers to the content of advertisements presented to users through vending machines, and includes introduction of existing products, new product information, and the like. The advertisement content is presented by means such as a moving image, text, or sound.

  The data carrier in the present invention includes both a contact type and a non-contact type, and can adopt various forms such as an IC card, an IC tag, and an IC chip housed in a mobile phone.

  When the data carrier in the present invention is a non-contact data carrier, a power carrier may be used. However, the data carrier rectifies by receiving radio waves from a predetermined location of the vending machine, and temporarily uses this as a power source on the card side. The thing of the structure to utilize can also be utilized. In the case of a non-contact data carrier, a memory unit for storing user information and the like is provided. As the memory unit, for example, a nonvolatile memory such as an EEPROM (Electrically Erasable Programmable Read-Only Memory) can be used.

  The data carrier in the present invention may have other functions such as a personal authentication function in addition to a function as a carrier for storing electronic money. For example, in the sale of cigarettes and alcoholic beverages, the form of providing the personal authentication function is effective when determining whether or not the user is an adult. When a data carrier is used as an authentication carrier for determining whether or not to sell, it is possible to determine whether or not to sell in consideration of factors other than user information. For example, even if it is determined that sales are possible from data acquired from user information, it may be determined that sales are not possible if a product purchase request is made within a certain period of time.

  The term “network” or “communication network” in the present invention is used synonymously, and connects a plurality of information processing apparatuses via a communication circuit, a cable, radio, or the like. The Internet, WAN (World Area Network), LAN (Local Area Network), and the like.

<First Embodiment>
FIG. 1 is a schematic configuration diagram of a vending machine system according to the first embodiment. The configuration shown in the figure can be realized in hardware by a CPU, memory, or other LSI of an arbitrary computer, and in software, it is realized by a program having a reservation management function loaded in memory. So, functional blocks that are realized by their cooperation are drawn. Accordingly, those skilled in the art will understand that these functional blocks can be realized in various forms by hardware only, software only, or a combination thereof.

  The vending machine 100 included in this system is configured to present an advertisement on the display unit when a product purchase request is received from a user and in a sales standby state. In addition, the vending machine adds information related to the situation when the product is sold to the value information and transmits it to the information management server. The information management server performs sales analysis based on the received information.

  The vending machine system of FIG. 1 sells products using an IC card 150 storing monetary value information. The IC card 150 includes an IC chip and an antenna. The internal structure of the IC chip 151 is as shown in FIG. 5, and has a configuration in which a control unit 153, ROM 154, RAM 155, EEPROM 156, and communication unit 157 are connected by a bus 158. The ROM 154 stores a storage circuit for storing various processing programs and data. Various data are stored in the RAM 155 and the EEPROM 156.

  The operation of the vending machine system shown in FIG. 1 will be described below. In the system shown in FIG. 1, a product purchase request from the user 200 is received by the product purchase receiving unit 103. Receiving this information, the display unit 102 selects the advertisement content from the display advertisement database 172 and displays it. On the other hand, the card reading unit 101 in the standby mode shifts to the operation mode, and a display (not shown) for requesting the user 200 to present the IC card 150 is made. The IC card 150 presented by the user 200 is received by the card reading unit 101. Here, value information is created and sent to the money amount information updating unit 170. The amount information update unit 170 subtracts the value corresponding to the price of the selected product from the value information in the IC card 150 and updates the value information. The updated value information is sent to the information adding unit 171. Here, sales information is added to both the value information corresponding to the IC card balance and the value information corresponding to the product price used for the settlement. The information adding unit 171a adds sales information to the IC card balance, and the information adding unit 171b adds sales information to value information corresponding to the newly generated product price. The sales information here includes, as will be described later, user main information, sales products, sales quantities, sales dates and the like in the product sales. The card balance to which the sales information is added is recorded on the IC card 150 via the card recording unit 105. On the other hand, the sales information added to the new value information corresponding to the product price is transmitted to the information management server 830 via the communication unit 128, the relay server 940, and the communication network 950.

  Along with the above processing, product purchase request information by the user is sent from the information adding unit 171 to the payout unit 104 via the control unit 129. The payout unit 104 pays out the product requested for purchase to the user 200.

  The value information transmitted to the information management server 830 is transmitted to the information management unit 840 via the communication unit 831. In the information management unit 840, first, value information is received by the information receiving unit 832 and then stored in the sales information database 841. The stored data has a form in which sales information is added to value information. An example of the data structure of this information is shown in FIG. As shown in the figure, the data stored in the sales information database 841 includes value information 1010 and sales information 1000. The sales information 1000 includes user information 1002, purchased product information 1003, and sales status information 1004. It is comprised by. Here, the user information 1002 includes a user ID 1002a, a user age 1002b, and a gender 1002c. These pieces of information are obtained from the presented data carrier. The purchased product information 1003 includes a product type 1003a and a quantity 1003b. The sales status information 1004 includes a purchase date and time 1004a, a purchase area 1004b, a vending machine ID 1004c, a purchase environmental condition 1004d, and a presentation advertisement 1004e. Purchased merchandise information 1003 and sales status information 1004 are acquired from a merchandise purchase acceptance unit 103, a timekeeping unit (not shown), a memory (not shown), or the like in the vending machine.

  The presented advertisement 1004e refers to information related to the advertisement content presented to the user, and includes an advertisement medium type (type of moving image, character, and sound), an advertisement posted product (brand name), an identification number that identifies the advertisement content, and the like. By specifying these advertisement medium types, advertisement posted products, and identification numbers, the advertisement content presented to the user is specified.

  The purchase history creation unit 834 creates a user-specific product purchase history file as shown in FIG. 4 using the data stored in the sales information database 841 shown in FIG. 3 as a master file. FIG. 4 shows the past purchase history of the user with the user ID 123456. In the figure, the past two purchase histories are shown, but in reality, all histories when a product is purchased by a vending machine using a data carrier are created. It can be understood how the user's product preference has been changed by the presented advertisement. Further, in the data file of FIG. 4, since the identification number, the medium, and the advertisement product are included as the data related to the presentation advertisement, it is possible to analyze the change in the product preference due to the advertisement presentation from various angles. For example, it is possible to grasp by user stratification (age, gender, etc.) as to what kind of medium is effective for advertisement.

  FIG. 6 shows another example of the user-specific product purchase history file. This file is stored in a form associated with the announcement date of the new product E. The contents of the merchandise purchase history information are almost the same as in FIG. According to this history file, it is possible to easily and accurately grasp how the consumer's product preference has changed since the time when a new product was announced. In the example of FIG. 6, a user who has previously purchased the product D purchases the product E when the new product E is announced on December 1, 2001 and contacts the advertisement of the new product E. You can read the situation. As described above, the product purchase information is stored in association with the announcement date of the new product, the posted advertisement, and the like, so that the effect of the new product announcement and the advertising effect can be specifically grasped. The data shown in FIG. 6 is a purchase history for one user, but by collecting a plurality of such data, it is possible to grasp the advertising effect and the like more quantitatively.

  The purchase history file is referred to by the information analysis unit 833 in FIG. 1 and utilized as data useful for sales analysis. By using the purchase history file, the product purchase record can be analyzed over a predetermined period, so that various sales analyzes that could not be realized in the past can be performed. For example, the user's favorite product, purchase time zone, purchase area, etc. can be grasped. In addition, it is possible to grasp how a favorite product changes depending on environmental factors such as temperature and humidity, and how a purchased product changes depending on a time zone. Further, the effect of the presented advertisement can be grasped from the change in the purchased product before and after the advertisement is presented. By such analysis, it is possible to grasp the advertising content having the highest advertising effect for the user, and to obtain a guideline for selecting an advertisement to be presented by the vending machine. Further, when various advertisements are sent to the user by mail or electronic mail, a guideline for selecting advertisement contents can be obtained.

  FIG. 2 shows the main part of the flow of merchandise sales by the vending machine system shown in FIG. First, the vending machine reads the card information of the IC card presented by the user (S101). The vending machine creates value information from the read card information, deducts the value corresponding to the product price from here, and updates the value information (S102). Next, the sales information is added to the value information that has been removed (S103), and the value information with the sales information added is transmitted to the information management server. The information management server accumulates this value information (S104). A purchase history for each user is created from the accumulated value information (S105), and sales information analysis is performed based on the purchase history (S106).

<Second Embodiment>
FIG. 7 is a configuration diagram of a vending machine system 300 according to the second embodiment. The configuration with the same reference numerals as those already described in this figure is the same as the configuration with the same reference numerals already described in terms of function or operation. In the following description, a configuration having different functions or operations will be mainly described. The in-company information management device 304 collects various information such as opinions on customer products from the front-end system 306 via the in-company network 302 and manages the information according to the purpose of use of the information. The front-end system 306 can be realized by, for example, a POS point, web, e-mail, telephone, fax, sales representative SFA (Sales Force Automation), call center system, or the like. The in-company information management apparatus 304 has a function as a so-called back end that performs customer evaluation for each customer based on various information related to the customer such as the purchase status of the customer. The “customer evaluation” is a sales index that quantifies the value of the customer in the company, for example, the value or profit that each customer brings to the company. The in-company information management device 304 performs customer evaluation for each customer and stores it as customer evaluation information. The in-company information management device 304 manages various information related to the customer such as customer preference information and address collected by the front-end system 306.

  The related information collection unit 322 collects various types of customer-related information such as customer evaluation information and preference information from the in-company information management apparatus 304 for each customer. The related information collection unit 322 performs this collection work based on an instruction from the information analysis unit 330, and outputs the collected related information to the information analysis unit 330. The information analysis unit 330 receives purchase history information for each customer from the purchase history creation unit 834. Then, the information analysis unit 330 instructs the related information collection unit 322 to acquire the related information of those customers. The information analysis unit 330 performs various types of analysis based on the related information and purchase history information supplied from the related information collection unit 322. The information analysis unit 330 takes in not only the sales information supplied from the vending machine 250 but also various types of information from the in-company information management apparatus 304 and performs analysis, so that the accuracy of the analysis can be improved, and the analysis contents Can also have a degree of freedom.

  FIG. 8 is an internal block diagram of the information analysis unit 330 of FIG. The information integration unit 336 associates the purchase history information supplied from the purchase history creation unit 834 with the related information supplied from the related information collection unit 322 and stores it in the history information storage unit 312. FIG. 9 is a diagram illustrating an example of a data structure of the history information storage unit 312 of FIG. The history information storage unit 312 stores a user ID 1002a, customer evaluation information 352, characteristic information 354, and purchase history information 356 in association with each other. The user ID 1002a is information for uniquely identifying a customer. The customer evaluation information 352 includes, for example, the customer type and the date on which the customer type calculation process is performed. The “customer type” is customer type information determined based on recent purchase history such as a fixed bed product non-flow type and a fluid bed product flow type. The characteristic information 354 is information such as a customer's preference characteristic, and is, for example, a residential area, occupation, preference, behavior characteristic, event characteristic, or the like. The “behavior characteristic” is information for classifying the customer based mainly on the time zone in which the customer is active, such as morning type, day type, night type, and midnight type. “Event characteristics” is information for estimating the user's positiveness, sociality, and the like, such as presence / absence of application for a sweepstakes, presence / absence of participation in various events. The purchase history information 356 is information relating to the status of purchases supplied from the purchase history creation unit 834.

  Returning to FIG. 8, the vending machine-specific information analysis unit 332 analyzes the sales of products for each vending machine 250 connected to the vending machine system 300 based on the data held in the history information storage unit 312. . Based on the “vending machine ID” held in the history information storage unit 312, the purchase history information for each vending machine 250 is analyzed, and the purchase trend of each product is calculated for each vending machine 250. For example, the vending machine-specific information analysis unit 332 may analyze the sales of a specific product such as a sales promotion target product for each vending machine 250. The vending machine-specific information analysis unit 332 may analyze the sales of each product for each vending machine 250 according to the customer's age group, sex, occupation, hobbies and preferences. Such analysis contents are preferably set arbitrarily. The vending machine-specific information analysis unit 332 stores these analysis results in the vending machine-specific purchase trend data storage unit 314.

  Similar to the vending machine-specific information analysis unit 332, the regional-specific information analysis unit 334 determines the sales of products for each region where the vending machine 250 is installed, based on the data held in the history information storage unit 312. To analyze. The “region” may be a predetermined geographical range, or may be an assigned area determined for each person who performs loading work on each vending machine 250. The regional information analysis unit 334 divides a plurality of vending machines 250 into a plurality of groups under a predetermined condition, and analyzes sales of products for each group. One of the conditions for the grouping is the region. The area-specific information analysis unit 334 in this figure performs analysis for each “purchase area” held in the history information storage unit 312 in FIG. 9. It is preferable that the analysis content can be arbitrarily set as in the vending machine-specific information analysis unit 332. The regional information analysis unit 334 stores the analysis result in the regional purchase trend data storage unit 316.

  The presentation condition generation unit 324 determines a presentation condition when each vending machine 250 presents an advertisement based on the analysis result held in the vending machine-specific purchase trend data storage unit 314 and the regional-specific purchase trend data storage unit 316. Generate. For example, when an analysis result is obtained that the sex of a purchaser of a product in a certain vending machine 250 is overwhelmingly “female”, the presentation condition generation unit 324 presents an advertisement for the product targeting the woman. Generate the condition as follows. Further, in the vending machine 250 in the office building, the purchaser is fixed. Therefore, the presentation condition generation unit 324 may generate a condition for designating an advertisement to be presented for each purchaser or an advertisement genre. In addition, presentation conditions may be set based on analysis results in other regions. Thus, by generating advertisement presentation conditions for each vending machine 250 according to the analysis result, it is possible to provide advertisements according to, for example, the user group of the vending machine 250. The presentation condition generation unit 324 supplies the generated presentation condition to the vending machine 250 via the communication unit 831. In addition, the presentation condition generation unit 324 outputs the presentation condition to the advertisement providing unit 326.

  The advertisement providing unit 326 reads the advertisement content corresponding to the presentation condition from the advertisement storage unit 318 based on the presentation condition generated by the presentation condition generation unit 324. Then, the advertisement providing unit 326 supplies the read advertisement content to the vending machine 250 via the communication unit 831. Thereby, the vending machine 250 holds in advance the advertising content to be displayed based on the presentation conditions.

  When the communication unit 202 in the vending machine 250 receives the presentation condition and the advertisement content, the communication unit 202 outputs it to the storage processing unit 204. The storage processing unit 204 stores the advertisement content in the display advertisement database 172 and stores the presentation condition in the presentation condition storage unit 206. In addition to the operation described with reference to FIG. 1, the card reading unit 101 outputs personal information read from the IC card 150 to the display processing unit 210. The display processing unit 210 selects the advertisement content based on the personal information and the presentation condition and causes the display unit 102 to display the advertisement content. The missing item detection unit 218 detects the missing item status of the product in the vending machine 250 and supplies information on the missing item product to the display processing unit 210. In addition, the shortage detection unit 218 outputs the remaining number for each product to the information management server 310.

  FIG. 10 is an internal block diagram of the display processing unit 210 of FIG. The personal information discriminating unit 212 identifies the purchaser based on the personal information supplied from the card reading unit 101 in FIG. For example, the personal information determination unit 212 outputs the purchaser's user ID to the selection unit 214. The selection unit 214 refers to the presentation condition storage unit 206 based on the user ID, and confirms that the product related to the advertisement content corresponding to the presentation condition is not a missing item. If it is not a shortage, the selection unit 214 reads out the advertisement content corresponding to the presentation condition from the display advertisement database 172. Then, the selection unit 214 outputs the selected advertisement content to the display unit 102. The clock 216 supplies the current date and time to the selection unit 214. When there is a presentation condition corresponding to the time zone, the selection unit 214 selects advertisement content corresponding to the presentation condition using the date and time. Thus, for example, the vending machine 250 can present an advertisement for tobacco A from 7 am to 10 am, and can present an advertisement for tobacco B from 10 am to 12 am. The presentation condition generation unit 324 in FIG. 7 can also generate the presentation condition according to such a time zone by using the vending machine-specific purchase trend data storage unit 314 or the regional-specific purchase trend data storage unit 316.

  FIG. 11 is a diagram showing an example of a sequence between devices in the vending machine system 300 of FIG. The card reading unit 101 in FIG. 7 reads information from the IC card (S101). The amount information update unit 170 in FIG. 7 creates value information from the read card information, updates the value information by deducting the value corresponding to the product price (S102). Next, the information adding unit 171 in FIG. 7 adds sales information to the value information that has been removed (S103), and transmits the sales information to the information management server 310 in FIG. The information management server 310 stores this value information in the sales information database 841 of FIG. 7 (S104). Then, the purchase history creation unit 834 in FIG. 7 creates a purchase history for each user based on the value information accumulated in the sales information database 841 (S105). The information analysis unit 330 in FIG. 7 performs a predetermined analysis (S108). With this analysis, the related information collection unit 322 in FIG. 7 requests related information such as customer evaluation information from the in-company information management apparatus 304, and the in-company information management apparatus 304 provides the requested related information. (S116). The information analysis unit 330 performs analysis based on purchase history information and related information.

  FIG. 12 shows an example of a detailed flowchart of step 108 in FIG. The vending machine-specific information analysis unit 332 in FIG. 8 analyzes the sales of goods for each vending machine 250 (S120), and stores the analysis result in the vending machine-specific purchase trend data storage unit 314 in FIG. Next, the region-specific information analysis unit 334 in FIG. 8 analyzes the sales of products for each region (S122), and stores the analysis result in the region-by-region purchase trend data storage unit 316. Returning to FIG. 11, the presentation condition generation unit 324 of FIG. 7 generates a presentation condition based on the data held in the vending machine purchase trend data storage unit 314 and the regional purchase trend data storage unit 316 (S <b> 110). Then, the presentation condition generation unit 324 transmits the presentation condition to the vending machine 250. The vending machine 250 stores the presentation condition in the presentation condition storage unit 206 of FIG. 7 (S112). Then, the display processing unit 210 in FIG. 7 displays the advertisement on the user interface unit 102 in FIG. 7 based on the presentation condition (S114).

  As mentioned above, although one Embodiment of this invention was described, this is an illustration of this invention and various structures other than the above are also employable.

  For example, in the present embodiment, the sales information is added to both the value information corresponding to the IC card balance and the value information corresponding to the product price used for payment. The sales information can be added only to the value information corresponding to the product price, that is, the value information transmitted to the information management server. In this case, in FIG. 1, the information adding unit 171a may be omitted and only the information adding unit 171b may be provided.

  Further, the purchase history creation unit 834 and the information analysis unit 833 do not have to be arranged inside the information management server 830, and one or both of them can be arranged outside the information management server 830. In this case, the sales information database 841 and the like are accessed via the network.

  In this embodiment, a relay server 940 that connects to a plurality of vending machines is provided, but this may be omitted and the vending machine may directly access the communication network 950.

1 is a configuration diagram of a vending machine system according to a first embodiment. It is a figure which shows the sequence between apparatuses in the vending machine system of FIG. It is a figure which shows an example of the data structure stored in the sales information database of FIG. It is a figure which shows the data structure of the purchase history information classified by user of FIG. It is a figure which shows the internal structure of the IC card of FIG. It is a figure which shows an example of the data structure stored in the sales information database of FIG. It is a block diagram of the vending machine system which concerns on 2nd Embodiment. It is an internal block diagram of the information analysis part of FIG. It is a figure which shows an example of the data structure of the log | history information storage part of FIG. It is an internal block diagram of the display process part of FIG. It is a figure which shows the sequence between apparatuses in the vending machine system of FIG. It is an example of the detailed flowchart of the sales information analysis of FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 Vending machine 101 Card reading part 102 Display part 103 Merchandise purchase acceptance part 104 Delivery part 105 Card recording part 128 Communication part 129 Control part 150 IC card 151 IC chip 153 Control part 154 ROM
155 RAM
156 EEPROM
157 Communication unit 158 Bus 170 Amount information update unit 171, 171 a, 171 b Information addition unit 172 Display advertisement database 200 User 202 Communication unit 204 Storage processing unit 206 Presentation condition storage unit 210 Display processing unit 212 Personal information determination unit 214 Selection unit 216 Clock 250 Vending machine 300 Vending machine system 302 Corporate network 304 Corporate information management device 310 Information management server 312 History information storage unit 314 Vending machine-specific purchase trend data storage unit 316 Regional purchase trend data storage unit 318 Advertisement storage unit 322 Related information collection unit 324 Presentation condition generation unit 326 Advertisement providing unit 330 Information analysis unit 332 Information analysis unit by vending machine 334 Information analysis unit by region 336 Information integration unit 352 Item customer evaluation information 354 Characteristic information 356 Purchase history information 830 Broadcast management server 831 communication unit 832 information accepting section 833 information analysis section 834 Purchase history creation section 840 information management unit 841 sales information database 940 relay server 950 communication network 1000 sales information 1002 user information 1002a user ID
1002b User's age 1002c Gender 1003 Purchased product information 1003a Product type 1003b Quantity 1004 Sales status information 1004a Purchase date and time 1004b Purchase area 1004c Vending machine ID
1004d Environmental conditions at the time of purchase 1004e Presented advertisement 1010 Value information

Claims (13)

A vending machine system having a configuration in which a vending machine and an information management server are connected via a network,
The vending machine accepts the data carrier presented by the user, sells the product in response to the user's request, and information on the name of the sold product, the date and time of sale or the sales location, and the data carrier Send sales information including at least the extracted user information to the information management server,
The vending machine system, wherein the information management server stores the sales information, classifies the stored user information for each user, and creates product purchase history information for each user. 2. The vending machine system according to claim 1, wherein the information management server performs sales analysis based on the user-specific product purchase history information. 3. The vending machine system according to claim 1, wherein the sales information includes information related to advertising content presented to a user by the vending machine when the product is sold. system. A vending machine system having a configuration in which a vending machine and an information management server are connected via a network,
The vending machine is:
Purchase request receiving means for receiving a product purchase request from a user, user information reading means for reading user information from the presented data carrier, product payout means for paying out the product, name of the sold product, date and time of sale Or a transmission means for transmitting sales information including at least information on a sales location and user information extracted from the data carrier to an information management server,
The information management server;
Sales information storage means for storing the sales information;
Purchase history creation means for classifying the sales information stored in the sales information storage means for each user and creating product purchase history information for each user;
A vending machine system characterized by comprising: 5. The vending machine system according to claim 4, wherein the information management server further comprises sales analysis means for performing sales analysis based on the user-specific product purchase history information. 6. The vending machine system according to claim 4 or 5, wherein the sales information includes information on advertising content presented to a user by the vending machine when the product is sold. system. 7. The vending machine system according to claim 6, wherein the sales analysis means analyzes the influence of the presented advertising content on purchasing activities based on the sales information. 8. The vending machine system according to claim 4, wherein the information management server further includes related information collection means for acquiring related information used for the sales analysis via a network different from the network. The vending machine system, wherein the sales analysis means performs the sales analysis based on the user-specific product purchase history information and the related information. The vending machine system according to any one of claims 4 to 8, wherein the vending machine includes detection means for detecting the number of remaining items.
A vending machine system further comprising: a display processing unit that selectively displays advertisement content to be presented according to the remaining number. 10. The vending machine system according to claim 5, wherein the information management server further includes a presentation condition generation unit that generates a presentation condition for the advertisement content according to the result of the sales analysis. And vending machine system. 11. The vending machine system according to claim 10, wherein the display processing unit includes selection means for selecting advertisement content to be presented to a user based on the presentation condition and the remaining number. Machine system. A sales analysis method using a vending machine system having a configuration in which a vending machine and an information management server are connected via a network,
The vending machine accepts the data carrier presented by the user, sells the product in response to the user's request, and information on the name of the sold product, the date and time of sale, or the sales location, from the data carrier Send sales information including at least the extracted user information to the information management server,
The information management server accumulates the sales information, classifies the accumulated user information for each user, creates user-specific product purchase history information, and sells based on the user-specific product purchase history information A sales analysis method characterized by performing analysis. A sales analysis method using a vending machine system having a configuration in which a vending machine and an information management server are connected via a network,
The vending machine accepts the data carrier presented by the user, presents the advertising content to the user, sells the product in response to the user's request, and sells the name of the sold product, the sales date or time Send sales information including at least information about the location, information about the advertising content, and user information extracted from the data carrier to the information management server,
The information management server accumulates the sales information, classifies the accumulated user information for each user, creates user-specific product purchase history information, and sells based on the user-specific product purchase history information A sales analysis method characterized by performing analysis.

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