WO2018042713A1

WO2018042713A1 - Settlement method and settlement assistance method

Info

Publication number: WO2018042713A1
Application number: PCT/JP2017/007916
Authority: WO
Inventors: 義博脇坂; 木村　淳一; 昌幸親松; 建太築地新; 真秀伴; 庄平山形
Original assignee: 株式会社日立製作所
Priority date: 2016-08-31
Filing date: 2017-02-28
Publication date: 2018-03-08
Also published as: JP2018036805A; JP6783097B2

Abstract

The present invention comprises: an information processing system executing a first step for transmitting a recommended commodity list that includes a commodity ID for specifying a commodity to a store system; the store system executing a second step for accepting input to select a desired commodity from the recommended commodity list as a selected commodity; the store system executing a third step for transmitting a commodity card issuance request that includes a commodity ID for specifying the selected commodity to the information processing system; the information processing system executing a fourth step for creating commodity card creation data for creating a commodity card that corresponds to the selected commodity; the information processing system executing a fifth step for transmitting the commodity card creation data to the store system; the store system executing a sixth step for creating a commodity card carrying purchase information on the basis of the commodity card creation data; the store system executing a seventh step for reading the purchase information from the commodity card; and the store system executing an eighth step for transmitting a delivery request to an external system on the basis of the purchase information.

Description

Settlement method and settlement support method

The present invention relates to a product sales method using information processing technology, and more particularly to a product settlement method.

As a product sales system using IT (Information Technology), for example, Patent Document 1 discloses a URL (Uniform Resource Locator) related to a two-dimensional code by reading an advertisement printed with a two-dimensional code for each product with a mobile phone. ) A shopping cart system for accessing an information web server is disclosed. In this system, the two-dimensional code is a two-dimensional code unique to the product and includes URL information of the Web page of the shopping cart, and the Web server is based on the URL information related to the two-dimensional code transmitted from the mobile phone. The purchase process is controlled using the terminal identification information of the mobile phone.

JP 2012-068868 A JP 2003-179030 A JP 2014-071555 A Japanese Patent Laying-Open No. 2015-043167 Japanese Unexamined Patent Publication No. 2016-133816 JP 2016-009426 A JP 2004-272673 A

The technology described in Patent Document 1 enables a purchaser to purchase a product using a two-dimensional code for each product, but does not consider cooperation with an actual store. In addition, it was not possible to reflect the recommended products and distribution status of the seller.

One aspect of the present invention for solving the above problems is a settlement method using a purchasing system including an information processing system and a store system. In this settlement method, a first step in which the information processing system transmits a recommended product list including a product ID for specifying a product to the store system, and an input in which the store system selects a desired product from the recommended product list as a selected product. The second step of accepting the product, the store system transmits a product card issuance request including the product ID specifying the selected product to the information processing system, the third step, the information processing system creates a product card corresponding to the selected product A fourth step of generating merchandise card creation data for processing, a fifth step of the information processing system transmitting the merchandise card creation data to the store system, and the store system obtaining purchase information based on the product card creation data. The sixth step of creating a product card to carry, the store system reads the purchase information from the product card Seventh step, store system that is based on the purchase information, the eighth step of transmitting the delivery request to the external system, to run.

Another aspect of the present invention is a settlement support method using an information processing system in a purchasing system including an information processing system and a store system. In this settlement support method, the information processing system recommends a step of transmitting a recommended product list including a product ID specifying a product to the store system, and a product card issuance including a product ID specifying a selected product selected from the recommended product list A request receiving step for receiving a request from the store system, a generation step for generating product card creation data for creating a product card corresponding to the selected product, and a transmission step for transmitting the product card creation data to the store system are executed.

Another aspect of the present invention is a settlement method using a store system in a purchase system including an information processing system and a store system. In this settlement method, the store system receives a recommended product receiving step for receiving a recommended product list including a product ID for identifying a product from the information processing system, and a product selection for receiving an input for selecting a desired product as a selected product from the recommended product list. Step, a card issuance request step for sending a merchandise card issuance request including a merchandise ID identifying the selected merchandise to the information processing system, a merchandise card corresponding to the selected merchandise sent from the information processing system in response to the merchandise card issuance request A card creation data receiving step for receiving product card creation data for creation, a card generation step for creating a product card carrying purchase information based on the product card creation data, a reading step for reading purchase information from the product card, and purchase information Send a delivery request to an external system based on Delivery request step that, to run.

Still another aspect of the present invention is a payment system, which includes a management system, an information processing vendor system, a store system, and a distribution system. The management system includes a recording unit that stores product sales data, and information The processing vendor system receives the merchandise sales data from the management system, and based on the data and the degree of reference in the media and external data at the time each item is sold, the current degree of mention in the media and the external data are currently high. Select a product group that is expected to sell, and select from the extracted product group a plurality of products that satisfy the constraints within the threshold of delivery time and are estimated to maximize profits from the top. The recommended product data is transmitted to the store system, the store system creates a product card based on the recommended product data, and the store system When payment is made based on the product card, the store system notifies the information processing vendor system of the delivery request for the product, the information processing vendor system determines the product delivery policy and notifies the management system, and the management system The distribution system is a payment system characterized by sending a product delivery request to the system and sending the product to a store system or a purchaser.

Even if there is no actual product, a purchaser who visits the store can make a purchase with the same feeling as normal purchase.

The whole block diagram which shows an example of the purchasing system of this invention. The table which shows an example of the physical distribution management table which a physical distribution system has. The table which shows an example of the goods which a management system has. The functional block diagram which shows an example of a processing system. The table which shows an example of a sales prospect goods list. The table which shows an example of a delivery cost table. The table which shows an example of a delivery cost definition table. A table showing an example of a recommended product list. The flowchart which shows the flow of the process which a processing system performs. The flowchart which shows the whole operation | movement of a purchasing system. The top view of a goods card. The algorithm outline figure of selection of recommended goods. The detailed flowchart of process S1208. The flowchart which shows the other example of the process in information processing system. The table which shows an example of a reservation goods list. The detailed flowchart of merchandise card data creation process S1403. The table which shows an example of a merchandise card management table. The detailed flowchart of merchandise purchase process S1002 in a store system. The block diagram which shows an example of a store system. The table which shows an example of a goods card list.

Embodiments will be described in detail with reference to the drawings. However, the present invention is not construed as being limited to the description of the embodiments below. Those skilled in the art will readily understand that the specific configuration can be changed without departing from the spirit or the spirit of the present invention.

In the structure of the invention described below, the same portions or portions having similar functions are denoted by the same reference numerals in different drawings, and redundant description may be omitted.

In this specification and the like, notations such as “first”, “second”, and “third” are attached to identify the constituent elements, and do not necessarily limit the number or order. In addition, a number for identifying a component is used for each context, and a number used in one context does not necessarily indicate the same configuration in another context. Further, it does not preclude that a component identified by a certain number also functions as a component identified by another number.

The position, size, shape, range, etc. of each component shown in the drawings and the like may not represent the actual position, size, shape, range, etc. in order to facilitate understanding of the invention. For this reason, the present invention is not necessarily limited to the position, size, shape, range, and the like disclosed in the drawings and the like.

The publications, patents and patent applications cited in this specification form a part of the description of this specification as they are.

<1. Overall structure of purchasing system>
FIG. 1 is an overall configuration diagram showing an example of a purchasing system according to the present invention. The purchasing system includes a physical distribution system 101, a management system 102, an information processing system 103, and a store system 104. Each of the systems 101 to 104 is basically an information processing apparatus represented by a server, and each server includes an input device, an output device, a processing device, and a storage device as hardware.

In the example of FIG. 1, the systems 101 to 104 are connected by a wired or wireless network 105, but the systems 101 to 104 may be integrated. When connecting to the network 105, each system includes a network interface for transmitting and receiving data to and from the network. Note that any part of the input device, output device, processing device, and storage device of each system may be configured by other information processing devices connected via a network.

In the following embodiments, functions such as calculation and control of the information processing apparatus are performed by a program (software) stored in the storage device being executed by the processing device, so that a predetermined process is cooperated with other hardware. This is explained as being realized. A program executed by an information processing apparatus, its function, or means for realizing the function may be called “function”, “means”, “part”, “unit”, “module”, etc. May be described.

Also, in this embodiment, functions equivalent to the functions configured by software can be realized by hardware such as FPGA (Field Programmable Gate Array) and ASIC (Application Specific Integrated Circuit). Such an embodiment is also included in the scope of the present invention.

<2. Logistics system>
The distribution system 101 is a system for managing the distribution of goods, and stores a distribution management table in a storage device. The distribution data of the distribution management table is provided to the information processing system 103 via the network 105. In addition, the distribution system 101 gives an instruction for transportation / delivery and storage of goods to a worker through, for example, a portable terminal based on a goods delivery request received from the management system 102 via the network 105.

FIG. 2 is a table showing an example of a physical distribution management table. In the example of FIG. 2, the logistics management table 200 includes a product ID 201 that identifies a product as logistics data, a product name 202, the number of products 203, a location 204 where the product is located, a data update time 205, an environmental temperature 206 of the product, and the like. Contains information.

The logistics data in the logistics management table 200 includes at least information for identifying the product and information on where the product is located, but may include the number, properties, and other information of the product as described above. The distribution data in the distribution management table is updated periodically or at an arbitrary time as the goods are transported / delivered or stored.

2 can be collected using a portable recording medium as disclosed in Japanese Patent Laid-Open No. 2003-179030 (Patent Document 2). Alternatively, it can be collected using an IC tag as disclosed in JP 2014-071555 A (Patent Document 3). Moreover, it is not limited to the above method, and may be data created manually by an operator.

<3. Store system>
The store system 104 is a system provided in each actual store, and is typically a POS system or a part thereof. The store system 104 has a function of a normal POS system and a function to be described later.

<4. Management system>
The management system 102 receives sales data from the store system 104 via the network 105 and aggregates the sales data. Further, sales data is provided to the information processing system 103 via the network 105. Further, when a product delivery request is received from the information processing system 103 or the store system 104 via the network 105, it is reflected in the sales data as a sales record, and a product delivery request is made to the logistics system 101.

FIG. 3 is a table showing an example of the sales data table 300 stored in the storage device of the management system 102. The sales data table 300 in FIG. 3 includes a product ID 301 for specifying a product, a product name 302, and sales data 303. In the example of FIG. 3, the sales data is tabulated by month. Other granularity such as yearly or daily may be used as the temporal granularity of the sales data 303. Further, the sales data 303 can be subdivided by store, region, and the like.

<5. Information processing system>
FIG. 4 shows a functional block diagram of the information processing system 103. The information processing system 103 includes an input device 401, an output device 402, a processing device 403, and a storage device 404 as hardware. Each device can be linked via an internal bus 405. The storage device 404 may include different types such as a non-volatile storage device such as a magnetic disk device or a high-speed volatile storage device such as a semiconductor memory. Assume that the input device 401 and the output device 402 include an interface to the network 105. Further, a known input / output device such as an image monitor or a keyboard may be provided.

The information processing system 103 includes a sales data analysis function 406, a distribution data analysis function 407, a recommended product extraction function 408, a product delivery policy determination function 409, and a product card data generation function 410. In FIG. 4, for convenience, it is shown as a functional block in the storage device 404. As described above, the functions stored in the storage device 404 are executed by the processing device 403 to realize the functions 406 to 410. Needless to say.

<5-1. Sales data analysis function>
The sales data analysis function 406 is a function for extracting products that are highly likely to be purchased when accessed by the purchaser. An example of a product that is highly likely to be purchased is a product whose sales are expected to increase in the future. As a system for predicting sales, there is a system using a neural network as disclosed in, for example, JP-A-2015-043167 (Patent Document 4). In addition, as disclosed in Japanese Patent Application Laid-Open No. 2016-133816 (Patent Document 5), there is one that predicts a product that will be sold in the future from past purchase information of a plurality of products.

When the past sales data is necessary for the sales data analysis function 406, the data is obtained from the sales data table 400 of the management system 102. Moreover, not only the method of the said patent document but an operator may predict and may input a result as data by manual input.

Further, as disclosed in, for example, Japanese Patent Application Laid-Open No. 2016-009426 (Patent Document 6), the sales data analysis function 406 is used for inventory management in consideration of both product trends in social media and product trends in stores. Important products may be extracted.

FIG. 5 is a table showing an example of a sales expected product list in which products extracted by the sales data analysis function 406 are listed. In the example of FIG. 5, the sales prospective merchandise list 500 includes information such as a merchandise ID 501, a merchandise name 502, and an importance 503 that identify the merchandise. The importance level 503 is the degree to which sales are expected. In this example, the importance level 503 is set to 0 to 100. The importance is, for example, a numerical value obtained by normalizing the sales forecast amount, and the larger the numerical value, the higher the degree. Or you may use a customer's attention degree as importance. The customer's attention level includes, for example, the appearance frequency of the product on social media.

<5-2. Logistics data analysis function>
The distribution data analysis function 407 calculates a delivery cost for delivering the product to each store based on the distribution data in the distribution management table 200, and creates a delivery cost table.

FIG. 6 is a diagram illustrating an example of the delivery cost table 600. When there are a plurality of stores, the delivery cost table 600 is created for each store. The example of FIG. 6 is a delivery cost table for the store A, and includes information such as a product ID 601 specifying a product, a product name 602, the number of products 603, a location 604 where the product is located, and a delivery cost 605.

From the delivery cost table 600 in FIG. 6, it can be seen that the delivery cost from the warehouse A to the store A is 99 for beer, and the delivery cost for the juice from the warehouse B to the store A is 5. In addition, since bread is in store A, the delivery cost is zero.

The delivery cost 605 is a value determined by a combination of the current position of the product and the store that is the delivery destination. In order to determine the delivery cost to a predetermined store for each product, the physical distribution data analysis function 407 includes a delivery cost definition table. The delivery cost is, for example, a numerical value obtained by normalizing an actual value (average value) of delivery time from a current position of a product to a store that is a delivery destination. It may reflect not only time but also economic costs.

Fig. 7 shows an example of the delivery cost definition table. In the delivery cost definition table 700 of FIG. 7, the delivery cost 703 is indicated by a value from 0 to 100 for the combination of the shipping place 701 and the receiving place 702, and the larger the numerical value, the higher the cost. The shipping place 701 is a normal warehouse or a collection place, and the receiving place 702 is a normal store. In FIG. 7, for example, the delivery cost from the warehouse A to the store A is 99, and the delivery cost from the warehouse A to the store B is 50. This indicates that delivery from store A is easier at store B than store A. The delivery cost 703 in the delivery cost definition table 700 may be automatically generated from a past distribution data by a predetermined program, or may be determined by a worker from the past distribution data and converted into data by manual input.

<5-3. Recommended product extraction function>
The recommended product extraction function 408 extracts recommended products from the data of the sales expected product list 500 and the delivery cost table 600. At this time, out of the products in the sales prospective product list 500, products whose importance 503 is equal to or higher than a predetermined threshold and products whose delivery cost 605 in the delivery cost table 600 is equal to or lower than the predetermined threshold are extracted. As a result, it is possible to extract a product for which sales are expected for each store and the delivery status is considered.

FIG. 8 is a table showing an example of a recommended product list in which recommended products are listed. The recommended product list 800 includes information such as a product ID 801 that identifies a product, a product name 802, a product shipping source (location where the current product is located) 803, a product shipping destination (store name) 804, and a reserved quantity 805. . In this example, products having an importance 503 of 80 or more in the expected sales product list 500 and a delivery cost 605 of 20 or less in the delivery cost table 600 are extracted using the AND condition.

The extracted product is notified via the network 105 to each store system 104 serving as a shipping destination. For example, the store A is notified that juice is recommended and the number 20 is secured. For the store F, chocolate is recommended, and the fact that the number 10 is secured is notified. In response to this, the store system 104 creates a product card. At each store, a purchaser purchases a product using a product card. The store system 104 and the product card will be described later.

<5-4. Product delivery policy decision function>
The product delivery policy determination function 409 receives a product delivery request transmitted from the store system 104 via the network 105 in response to purchase of the product. The merchandise delivery request includes the name of the merchandise to be delivered and information on the delivery destination. The merchandise delivery policy determination function 409 refers to the distribution data based on the merchandise delivery request, determines which merchandise is delivered to where, and sends a merchandise delivery request to the management system 102 via the network 105. As a delivery destination of goods, there are delivery destinations such as a purchaser's home in addition to the own store.

<5-5. Processing flow of processing system>
FIG. 9 is a flowchart showing a flow of processing executed by the information processing system 103. In the figure, thick arrows indicate the flow of processing, and thin arrows indicate data reference or generation.

In process S901, the sales data analysis function 406 reads sales data from the sales data table 400.

In process S902, the sales data analysis function 406 analyzes the sales data, extracts a group of products for which sales can be expected, and creates a sales expected product list 500.

In process S903, the distribution data analysis function 407 reads distribution data from the distribution management table 200.

In process S904, the logistics data analysis function 407 creates a delivery cost table 600 from the logistics data and the delivery cost definition table 700.

Note that the order of the analysis processing S902 and S904 is not limited. The order of the data reading processes S901 and S903 is not limited as long as it is before the process of analyzing the data.

In process S905, the recommended product extraction function 408 uses the information of the sales prospective product list 500 and the delivery cost table 600 to extract products that satisfy predetermined requirements as recommended products, and creates a recommended product list 800. The recommended product list 800 lists recommended products corresponding to each store. Based on the recommended product list, the recommended product is notified to each store. Thereafter, when there is a merchandise delivery request from the store system 104, the merchandise delivery policy determination function 409 determines the delivery policy in step S906 and notifies the management system 102 of it.

<6. Overall operation of purchasing system>
FIG. 10 is a flowchart showing the overall operation of the purchasing system shown in FIG. Here, operations of the distribution system 101, the management system 102, the information processing system 103, the store system 104, and the purchaser 1000 will be described. The operation of the information processing system 103 described with reference to FIG.

For example, the store system 104 is assumed to be a small server or an input / output terminal arranged in a retail store. A POS system (point of sales system) may be used. Each store employee can use the store system 104 to input sales data and request a product delivery. The distribution system 101 is a server that manages delivery of merchandise to the store system 104. The management system 102 is a server that manages the store system 104 and the logistics system 101 as a whole. The management system 102 manages sales data of each store and issues a delivery instruction to the distribution system 101.

The information processing system 103 is a vendor server connected to the store system 104 via a network, for example, and provides a service that provides useful information to the store system 104. In addition, data can be obtained from the distribution system 101 and the management system 102 for this service.

9, after the processing described in FIG. 9, the information processing system 103 notifies the store system 104 of recommended products via the network 105 based on the recommended product list 800 created in step S <b> 905. For example, according to the example of FIG. 8, for the store A, the juice that is expected to be sold is in stock in the warehouse B with a low delivery cost, so the juice is notified as a recommended product. In response to this, the store system 104 creates a product card.

In addition, as will be described in the second and subsequent embodiments, the store system 104 can select a product for which a product card is actually created from the recommended product list 800. Also, authentication information for ensuring the authenticity of the product card can be created. The product card data generation function 410 generates data related to these product cards.

<7. Product card>
FIG. 11 is an external view (plan view) of the product card. There is a hole in the upper part of the product card 1100 so that it can be hung from the sales floor. The merchandise card 1100 describes information indicating that it is a merchandise card, a merchandise name that can be purchased with the merchandise card, a price, a merchandise photo, bar code information, bar code numerical information, and an expiration date on which the merchandise card can be used. ing.

The barcode information includes an identifier indicating that the barcode is a product card, and a product ID for specifying the product. In addition, information indicating the price of the product, expiration date, authentication information, unique Information may be included. Since the merchandise card can place an order for merchandise, it is preferable to ensure that the merchandise card is authentic, and it is desirable to provide authentication information.

The authentication information is information of a certificate (electronic signature) indicating that the barcode is generated by a predetermined issuer (authorized issuer), and the barcode is generated by the authorized issuer in the store system. It can be determined whether or not. The unique information of the product card is used to specify the type of the product card used for purchasing the product by setting different values for the same product ID. For example, by adding unique information indicating the location and time of distribution of the product card, it is possible to identify where the card was distributed from the unique information and use it for marketing or the like.

Such a product card may be printed as appropriate by storing image data to be printed in correspondence with the product ID in the storage device of the store system 104. Alternatively, data may be transmitted from the information processing system 103 each time. Therefore, in the process S1001, the store system 104 can create a recommended product card with a printer or the like as one of the output devices based on the product ID 801 or the product name 801 notified from the information processing system 103. . Note that another two-dimensional code such as a QR code (registered trademark) may be used instead of the barcode. Further, a writable IC tag may be used as long as the system is compatible.

The purchaser can purchase a product that is not in stock in the store system using the product card 1100. That is, it is possible to cause the store system 104 to read the information on the product card instead of the product, and to make the system recognize the product to be purchased (processing S1002).

The store system 104 makes a delivery request to the information processing system 103 according to information such as a product ID held on the product card for the product purchased with the product card 1100 (processing S1003). As for the delivery destination, the store that made the request can be set as a default, and delivery can be made to a separately input address or a registered address of a card that specifies the address. The delivery request may be sent to another external system such as the distribution system 101 and processed by the system.

The information processing system 103 determines a delivery policy for the product and notifies the management system 102 (processing S906). As a delivery policy, for example, what is sent to where is determined, but a plan considering other efficiency may be created.

The management system 102 makes a product delivery request to the distribution system 101 (processing S1004).

Upon receiving the request, the distribution system 101 instructs the worker to deliver the corresponding product. The delivery destination is a store system or a direct purchaser who has made a delivery request (processing S1005).

In the above embodiment, the delivery request is made to the information processing system 103, but it may be sent to the management system 102 or the distribution system 101 instead.

FIG. 12 is a schematic diagram of an algorithm for selecting recommended products according to the second embodiment of the present invention. This corresponds to another example of the processing of the sales data analysis function 406, the distribution data analysis function 407, and the recommended product extraction function 408 in FIG.

From past product sales data 1201 for each store, reference data 1202 for each product in the past media, and past external data (temperature, season, event, etc.) 1203, the degree of media reference and external data and product sales for each store Is calculated (S1204). As a method for calculating such a correlation, there is, for example, Japanese Patent Application Laid-Open No. 2004-272675 (Patent Document 7).

Based on the calculated correlation, a plurality of products that are currently expected to have high sales are extracted from the reference data 1205 of each product in the current media and current external data (temperature, season, event, etc.) 1203 (S1207).

From the extracted product group, with reference to the delivery cost table 600, the product that satisfies the constraint condition that the delivery cost is a or less, uses the delivery cost and the estimated sales as explanatory variables, and the product that maximizes the profit of the objective variable from the top b pieces are selected (S1208). The selected recommended product is notified to the store (S1209).

In a simple example, for example, from past data, it can be seen that there is a correlation between these phenomena and beer sales when the temperature is 30 degrees or more and there is a fireworks event within a radius of 10 km (processing S1204). On the other hand, from the current external data, when the temperature of tonight is expected to be 33 degrees C and there is a fireworks event within a radius of 10 km, a plurality of beer brands are extracted as products that can be expected to have high sales (S1207). Next, referring to the delivery cost table 600, among the beer brands A, B, and C, when A and B have a delivery cost lower than a threshold and C is higher than a threshold, A and B are notified to the store as recommended products. (S1209).

FIG. 13 is a detailed flow of the process S1208 of FIG.

In process S1301, a predetermined number b is selected from the products extracted in process S1207. For example, assuming that five products with high sales are expected from the top in step S1207, three of the five items are selected in step S1301.

In process S1302, it is checked whether all combinations have been selected in process S1301. If all combinations have been selected, the process advances to step S1306. Since there are ten combinations for selecting three from five, the process proceeds to step S1306 (described later) for the eleventh time. If there is a combination that has not been selected, the total delivery cost of the product selected in step S1303 is calculated for that combination. In this case, a numerical value converted into an amount is used as the delivery cost.

In process S1304, it is checked whether or not the total delivery cost is equal to or less than the threshold value a. If the total exceeds the threshold value, the process returns to process 1301, and three of the five combinations are selected from the five. If the total delivery cost is less than or equal to the threshold, the expected profit is calculated in step S1305. For this purpose, (total sales expected) − (total delivery cost) is calculated. The calculation result is stored in a separate storage device. Thereafter, the process returns to processing 1301, and three of the five combinations are selected from the new combinations.

In process S1302, if all combinations have been selected, the process proceeds to process S1306. In step S1306, the calculation result stored in the storage device is referred to, and the combination with the maximum expected profit is extracted as a recommended product. As described above, since the delivery cost is different for each store, the recommended product is different for each store, and the different recommended product is notified to each store (S1209).

FIG. 14 is a modification of the first embodiment, and shows another example of processing in the information processing system 103. Processes similar to those in FIG. 10 are denoted by the same reference numerals and description thereof is omitted.

In the example of FIG. 10, sales data analysis S902 and logistics data analysis S904 are performed, but in the example of FIG. 14, logistics data analysis S904 is omitted. In addition, in the recommended product extraction process S905, not only products registered in the physical distribution management table 200 but also products that will arrive in the future are considered. For this purpose, for example, the reserved product list 1500 stored in the storage device of the management system 102 is used.

FIG. 15 is a table showing an example of the reserved product list 1500. The reserved product list 1500 includes information such as a product ID 1501 for specifying a product, a product name 1502, a product sales start time 1503, a reservation reception start time 1504, and a reservation reception end time 1505. The reserved product list 1500 can be presented as a recommended product prior to the sale by listing the season product, the event product, or the product before the sale whose sales are expected in advance. Therefore, the recommended product list 800 stores the product ID 1501 selected from the reserved product list 1500 as the product ID 801. As for the product shipping source 803 and the reserved quantity 805, a flag indicating reservation is stored in the case of a reserved product.

In the example of FIG. 14, after the recommended product is extracted, the store system 104 can select the product, and includes a product selection process S1401. In the process S1401, the recommended product list 800 presented from the information processing system 103 is displayed on, for example, the display device of the store system 104, and an operator on the store system side selects a product to be ordered. At this time, the number of products can be specified at the same time.

After the product is selected, the store system 104 makes a product card issue request S1402 to the information processing system 103. The issue request includes, for example, a product ID for specifying a product and unique information. The information processing system 103 that has received the issuance request S1402 of the product card notifies the sending process described later of the information on the card if the product card having the same product ID and unique information has already been issued. If not, product card data is created and the created information is notified to the sending process.

FIG. 16 is a flowchart showing details of the merchandise card data creation process S1403 in the information processing system 103. In step S1604, a merchandise card issuance request is received from the store system 104.

In process S1605, the information processing system 103 extracts the product ID from the product card issue request.

In process S1606, the information processing system 103 generates or updates a product card management table from the information extracted in process S1605.

FIG. 17 is a table showing an example of the product card management table 1700. The product card management table 1700 stores a product card ID 1701, a product ID 1702, a product name 1703, unique information 1704, and an expiration date 1706. In the example of FIG. 17, the two products having the product ID 1702 of 101 have different unique information, and therefore are assigned different product card IDs 1701. In this example, the unique information 1704 is “none” (specifically, a code having a special meaning such as 0000) in a product for which unique information is not specified or for which setting of unique information is prohibited. Although not shown in FIG. 17, when it is desired to display a photograph of a product on a product card, an image file is associated with the product ID.

In process S1607, a public key and a secret key are generated for the product card. Since the key generation method is a known technique, the details are omitted. The key may be created for each product card ID, or may be common to a plurality of product cards as shown in FIG.

In process S1608, the generated public key is sent together with the product card ID and the card expiry date to a system such as the management system 102 or the distribution system 101 that wants to check the authenticity of the product card.

When the merchandise card data creation process S1403 is completed as described above, the processing returns to FIG. 14 and the information processing system 103 executes the merchandise card data transmission process S1404. In the merchandise card data sending process S1404, based on the contents of the merchandise card management table 1700 in FIG. 17, information on the merchandise card requested by the requester is sent. At this time, the secret key 1707 is not sent.

The store system 104 that has received the product card data creates a product card list 1901 to be described later, and creates a product card in step S1001.

FIG. 18 is a modification of the first embodiment and shows a detailed example of the product purchase processing S1002 in the store system 104. The product purchase processing S1002 includes processing by a purchaser using a POS system for purchase.

FIG. 19 is a block diagram illustrating an example of the store system 104. Since the hardware configuration is the same as that of the information processing system 103 in FIG. 4, the same reference numerals are given to the same configuration, and different portions will be mainly described. In FIG. 15, the storage device 404 stores a product card list for managing the product card 1100, a product card processing function 1902 for processing the product card 1100, and a normal POS function 1903.

18, in step S1801, the merchandise card processing function 1902 determines whether the purchaser has presented the merchandise card 1100 and the store system 104 has read the merchandise card 1100. The determination is made based on whether or not information that identifies the product card is included in the read data. For example, in FIG. 17, when the first number of the product card ID is 9, it is identified as a product card. It should be noted that a button or the like for switching or identifying normal merchandise processing and merchandise card processing may be installed in the store system 104. For example, an optical reader provided as the input device 401 is used to read the product card 1100.

If the merchandise card 1100 is not presented and read, it is a normal merchandise sale. In step S1802, the POS function 1903 of a general POS system is used to process sales at a register, for example, cash receipt or credit card or Make a payment with a prepaid card.

When the product card 1100 is read, the public key corresponding to the product card ID is read by referring to the product card list 1901 in step S1803.

FIG. 20 is a table showing an example of the product card list 1901. The merchandise card list is stored in the storage device 404 of the store system 104, and stores information on merchandise cards managed by the store. As shown in FIG. 20, the product card list 1901 stores a product ID 2002, a product name 2003, an expiration date 2004, a state 2005, a public key 2006, and unique information 2007 for the product card ID 2001.

The merchandise card list 1901 can be generated by the store system 104 receiving the merchandise card data sending process S1404 in FIG. 14 recording the contents of the merchandise card data for each merchandise card ID.

18, in step S1804, the merchandise card processing function 1902 decrypts, for example, an electronic signature written on the merchandise card with a public key (decryption result data is P). On the other hand, in process S1805, a hash value of the product delivery request is generated (the data of the generation result is Q). In process S1808, the data P and data Q are compared, and the comparison results are matched, whereby the authenticity of the product card 1100 is confirmed, and the product delivery request is sent to the physical distribution system 101 or the management system 102. The authenticity of the merchandise card can be confirmed by the management system 102, that is, the merchandise card ID is sent to the management system 102, the authenticity is determined in the management system 102, and the result is stored in the store. The information is transmitted to the system 104 and input to the process S1810 in the store system 104. As described above in section <5-4>, the product delivery request includes the product name to be delivered and information on the delivery destination store as information.

If the comparison result is OK in step S1808, the store system 104 can confirm the authenticity of the product card 1100 and the partner system, and the process advances to step S1810. Otherwise, the process ends at step S1809.

In the processing S1810, as a final confirmation, for example, an image monitor provided as the output device 402 of the store system 104 is used to ask the purchaser for final confirmation such as a product name and a price. When the final confirmation OK is input, a merchandise shipping request is made to the distribution system 101 or the management system 102 (S1003 in FIG. 10). Further, sales processing is performed by a normal POS function 1903. If there is no OK input, it is determined that the purchase has been canceled, and the process ends in step S1811.

18 shows an example of the product card authentication process and the payment process, but other authentication methods may be used as long as the authenticity of the product card is ensured.

According to the embodiment described above, even if there is no actual product in the store, the purchase can be made with the same feeling as in normal shopping. Furthermore, the burden on the seller side can be reduced while enabling delivery to an arbitrary place. In addition, it is possible to present a product with consideration for physical distribution and recommendation to the purchaser using a product card, and induce purchase by the product card.

In this embodiment, the information processing system generates recommended product data based on product sales data, reference data of each product on the media, and external data, and creates a product card in the store based on this, It is also possible to induce purchase by a product card for a product having excellent recommendability to a purchaser who has visited the store. In addition, by creating a product card for a product based on the status of logistics, it is possible to provide excellent logistics services such as same-day delivery.

In this embodiment, the creation and use of a product card is incorporated as an additional function of the POS system, for example. Therefore, it becomes possible to actively control the contents and supply of the product card, and efficient sales are possible.

The present invention is not limited to the above-described embodiment, and includes various modifications. For example, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, it is possible to add, delete, and replace the configurations of other embodiments with respect to a part of the configurations of the embodiments.

Industrial applicability

For example, it can be used for a distribution system such as a POS system.

Logistics system 101
Management system 102
Information processing system 103
Store system 104

Claims

A payment method using a payment system including an information processing system and a store system,
A first step in which the information processing system transmits a recommended product list including a product ID specifying a product to the store system;
A second step in which the store system receives an input for selecting a desired product as a selected product from the recommended product list;
A third step in which the store system transmits a request for issuing a product card including a product ID specifying the selected product to the information processing system;
A fourth step in which the information processing system generates product card creation data for creating the product card corresponding to the selected product;
A fifth step in which the information processing system transmits the product card creation data to the store system;
A sixth step in which the store system creates a merchandise card carrying purchase information based on the merchandise card creation data;
A seventh step in which the store system reads the purchase information from the product card;
An eighth step in which the store system transmits a delivery request to an external system based on the purchase information;
Payment method to execute.
The payment system includes a logistics system,
The physical distribution system stores in a storage device a physical distribution management table that includes position information related to the position of the product specified by the product ID corresponding to the product ID.
The information processing system can use information in the physical distribution management table,
In the first step,
The information processing system generates the recommended product list based on information in the logistics management table.
The settlement method according to claim 1.
The information processing system includes:
A delivery cost definition table for storing a delivery cost determined for a combination of the store ID for identifying the store system and the position information is stored in a storage device;
In the first step,
The information processing system generates the recommended product list corresponding to the store ID based on information in the logistics management table and the delivery cost definition table.
The settlement method according to claim 2.
The payment system includes a management system,
The management system stores a sales data table including past sales data corresponding to the product ID in a storage device,
The information processing system can use the information in the sales data table,
In the first step,
The information processing system generates the recommended product list based on information in the sales data table.
The settlement method according to claim 1.
A payment method using a payment system including an information processing system and a store system,
A first step in which the store system reads purchase information from a product card including product ID information;
A second step in which the store system transmits a delivery request to an external system based on the purchase information;
Payment method to execute.
A payment support method using the information processing system in a payment system including an information processing system and a store system,
The information processing system includes:
A recommended step of transmitting a recommended product list including a product ID for identifying a product to the store system,
Receiving a request for issuing a product card including a product ID specifying a selected product selected from the recommended product list from the store system;
Generating a product card creation data for creating the product card corresponding to the selected product,
A transmission step of transmitting the product card creation data to the store system;
Settlement support method to execute.
The product card creation data includes information for forming visible information on a portable medium.
The settlement support method according to claim 6.
The product card creation data corresponds to authentication information for confirming that the product card has been created from the product card creation data.
The settlement support method according to claim 6.
The recommended steps are:
Consider at least one selected from current position data corresponding to the product ID, past sales data corresponding to the product ID, reference data in past media corresponding to the product ID, past environment or event data To generate the recommended product list,
The settlement support method according to claim 6.
A payment method using the store system in a payment system comprising an information processing system and a store system,
The store system
A recommended product receiving step of receiving a recommended product list including a product ID for specifying a product from the information processing system;
A product selection step for receiving an input for selecting a desired product as a selected product from the recommended product list;
A card issuance request step for sending a request for issuing a merchandise card including a merchandise ID specifying the selected merchandise to the information processing system;
A card creation data receiving step for receiving product card creation data for creating the product card corresponding to the selected product sent from the information processing system in response to the product card issue request;
Based on the product card creation data, a card generation step of creating a product card carrying purchase information,
A reading step of reading the purchase information from the product card;
A delivery request step for sending a delivery request to an external system based on the purchase information;
Payment method to execute.
The product card creation data includes information for forming visible information on a portable medium.
The settlement method according to claim 10.
The product card creation data corresponds to authentication information for confirming that the product card has been created from the product card creation data.
The settlement method according to claim 10.
The delivery request step includes
Sending information encrypted with a secret key to the external system, and decrypting with the public key in the external system, to guarantee the authenticity of the product card,
The settlement method according to claim 10.