JP2021117683A - Affiliated store support server, program, and affiliated store support method - Google Patents

Abstract

To provide an affiliated store support server that reduces a cost of ordering commodities and goods at an affiliated store and provide the affiliated store with a value other than payment means.SOLUTION: An affiliated store support server 100 used by a payment operator that provides an affiliated store with payment means for commercial transactions includes: an acquisition unit that acquires sales provision record data indicating a sales record of commodities or a provision record of services from a plurality of affiliated stores operated by a plurality of business operators; a forecast instruction unit that instructs, using the sales provision record data, a forecast unit that forecasts a demand for commodities or services in a first predetermined period to perform demand forecast and to acquire a demand forecast result; a generation unit that generates, based on the result of the demand forecast, order candidate data for ordering goods used to provide commodities or services of each affiliated store; a provision unit that provides the order candidate data to the affiliated store; a reception unit that receives selection of ordering data to be used by the affiliated store among the ordering candidate data; and an order processing unit that integrates the order data selected for each order destination to perform order processing.SELECTED DRAWING: Figure 3

Description

The present invention relates to a member store support server, a program, and a member store support method.

In recent years, there is a technology for supporting the ordering business of goods sold in stores and goods used for providing services. For example, in Non-Patent Document 1 below, demand is provided for each product in each store using AI technology based on various data (inventory, sales, ordering, etc. for each product) in the past and order dates at the lunch box / side dish section of the store. A technology for predicting and automatically calculating the recommended order quantity for each product for each store is disclosed.

Keizo Hikawa, "Seiyu introduces demand forecast / automatic ordering system utilizing AI to stores nationwide, adopts Hitachi system", [online], October 9, 1st year of Reiwa, Impress Co., Ltd., [Ordinance November 1, 1991], Internet, <URL: https://it.impressbm.co.jp/articles/-/18664>

Here, in the above-mentioned ordering business, ordering a product for each store requires an individual ordering cost, which is problematic from the viewpoint of cost. On the other hand, there is a need for a settlement business operator that provides a settlement means for commercial transactions to such a store to provide a value other than the settlement means to the store to be provided (hereinafter referred to as "member store").

Therefore, in order to solve the above problems, the present invention provides a member store support server or the like for reducing the cost of ordering goods or goods at a member store and providing the member store with a value other than the payment means. The purpose is to do.

The member store support server according to one aspect of the present invention is a member store support server used by a payment operator that provides a settlement means for commercial transactions to the member store, and is a device of a plurality of member stores operated by the plurality of operators. From the acquisition department that acquires sales provision record data indicating at least one of the sales record of the product or the provision record of the service of each of the plurality of member stores, and the demand for the product or service in the first predetermined period of each of the plurality of member stores. The forecast instruction unit that instructs the forecasting department to instruct the demand forecast using the sales provision record data and acquires the result of the demand forecast, and the product or the product in each of the plurality of member stores based on the result of the demand forecast. A generator that generates order candidate data indicating one or more order data candidates for ordering goods used for providing services, and a provider that provides the member store's order candidate data to the member store's equipment. , For ordering goods or goods by integrating the ordering data selected for each supplier with the reception unit that accepts the selection of ordering data to be used by the member store from the ordering data candidates from the member store's equipment. It is provided with an order processing unit that performs order processing.

The program according to one aspect of the present invention joins a member store support server used by a payment operator that provides a settlement means for commercial transactions to a member store from a plurality of member store devices operated by the plurality of operators. An acquisition function that acquires sales provision performance data that indicates at least one of the sales performance of each store's product or service provision performance, and a forecasting unit that forecasts demand for goods or services in the first predetermined period of each of multiple member stores. It is used to provide goods or services at each of multiple member stores based on the forecast instruction function that instructs the demand forecast using the sales provision record data and acquires the result of the demand forecast, and based on the result of the demand forecast. A generation function that generates order candidate data indicating one or more order data candidates for ordering goods to be ordered, a provision function that provides order candidate data of the member store to the device of the member store, and a device of the member store. The ordering function that accepts the selection of ordering data to be used by member stores from among the ordering data candidates, and the ordering process that integrates the selected ordering data for each supplier and processes the ordering of goods or goods. Realize the processing function.

In the member store support method according to one aspect of the present invention, a server used by a payment operator that provides a settlement means for commercial transactions to a member store is joined from a plurality of member store devices operated by the plurality of operators. Acquire sales provision record data indicating at least one of the sales performance of each store's product or service provision record, and provide sales to the forecasting department that forecasts the demand for goods or services in the first predetermined period of each of the multiple member stores. To instruct demand forecasts using actual data, acquire the results of the demand forecasts, and order goods or goods used to provide services at each of multiple member stores based on the results of the demand forecasts. Generates order candidate data indicating one or more order data candidates, provides the member store's order candidate data to the member store's device, and uses the order data candidate among the order data candidates from the member store's device. It accepts the selection of ordering data, integrates the selected ordering data for each supplier, and performs ordering processing for ordering goods or goods.

According to the above aspect, since the orders of a plurality of member stores by a plurality of businesses are integrated for each supplier and the order processing of goods and goods is performed, the ordering cost can be reduced. Further, according to the above aspect, the settlement business operator obtains the past sales record of the product from the member store, thereby generating the order data on behalf of the member store, and also from the member store. Depending on the selection of the order data to be used, the order processing of goods and goods can be performed on behalf of the customer.

According to the present invention, it is possible to provide a member store support server or the like for reducing the cost of ordering goods or goods at a member store and providing the member store with a value other than the payment means.

It is a figure for demonstrating the system configuration example of the member store support system which concerns on embodiment. It is a figure for demonstrating an example of the outline of the member store support system which concerns on embodiment. It is a figure which shows an example of the functional structure of the member store support server which concerns on embodiment. It is a figure which shows the operation example of the member store support server which concerns on embodiment. It is a figure which shows an example of the hardware configuration of the member store support server which concerns on embodiment.

A preferred embodiment of the present invention (hereinafter referred to as “the present embodiment”) will be described with reference to the accompanying drawings. In each figure, those having the same reference numerals have the same or similar configurations.

In the present embodiment, a credit card company, which is a payment operator, places an order for goods or goods used for providing services at each of the plurality of member stores that provide payment means by credit card. I will explain an example of supporting the above, but the purpose is not limited to this. The member store support system according to the present embodiment can be applied to various payment operators that provide payment means such as code payment and electronic money payment, for example. In addition, the goods used for providing goods or services (services) at each of the plurality of member stores are hereinafter simply referred to as "goods or goods". In addition, the member stores according to the present embodiment include stores that sell products or provide services to customers and businesses that operate the stores, and are online shops that sell products not only at actual stores but also at EC sites. Is also included.

<1. System configuration>
A system configuration example of the member store support system 1 according to the present embodiment will be described with reference to FIG.

The member store support system 1 is for a credit card company (hereinafter, simply referred to as "card company") to support the ordering business of goods or goods at the member store in order to provide the member store with a value other than payment. It is a system. In other words, the member store support system 1 is a system for acting for at least a part of the ordering business of goods or goods at the member store.

As shown in FIG. 1, the member store support system 1 includes a member store support server 100 for providing a service for supporting the above ordering business (hereinafter, also referred to as “member store support service”), and a member store support service. The first terminal 200a used by the first member store to be provided and the second terminal 200b used by the business operator operating the second member store which is also provided with the member store support service are included.

When there is no particular need to distinguish between the first terminal 200a and the second terminal 200b, they are collectively referred to as "terminal 200". The terminal 200 is one aspect of the device of the member store, and another aspect of the device of the member store is a server device (hereinafter, also referred to as “business server”) used by a business operator operating the member store. Conceivable.

The member store support server 100 is a server device capable of communicating with the terminal 200 via the network N. Further, the member store support server 100 is a server device used by a payment operator that provides a member store with a payment means for commercial transactions. The member store support server 100 manages information regarding the ordering of goods or goods at the member store by executing a predetermined program, and performs acceptance processing of selection of goods or goods ordering data, ordering processing of goods or goods, and the like. Realize the server function to control. Here, the "ordering data" is data for ordering goods or goods used for providing services from the ordering party at each of the plurality of member stores. Although only one member store support server 100 is shown in FIG. 1 for the sake of simplicity, a plurality of member store support servers 100 may be provided. In addition, the member store support server 100 also plays the role of a Web server, for example, and distributes a website (hereinafter referred to as "ordering site") for collectively posting information on member store support services for each of a plurality of member stores. May be good. In addition, the ordering site may be able to accept selection of ordering data for goods or goods from member stores.

The member store support server 100 is, for example, an analysis server 300 used by an analysis solution vendor that forecasts future demand for goods or goods via network N, and an order used by a wholesaler or a manufacturer that is an ordering party for goods or goods. It may be communicably connected to the destination server 400 or the delivery company server 500 used by the delivery company that consigns the delivery of the goods or goods to the member stores.

The network N is composed of a wireless network and a wired network. Examples of networks include mobile phone networks, PHS (Personal Handy-phone System) networks, wireless LAN (Local Area Network), 3G (3rd Generation), LTE (Long Term Evolution), 4G (4th Generation), and 5G (4th Generation). There are networks compliant with 5th Generation), WiMax (registered trademark), infrared communication, Bluetooth (registered trademark), wired LAN, telephone line, power line network, IEEE1394, and the like.

The terminal 200 receives input from the member store for a reception function such as selection of order data for the support service provided by the member store support server 100, output from the member store support server 100 to the member store, and with the member store support server 100. It is a terminal device such as a PC, a smartphone, or a laptop terminal capable of communication. By executing a predetermined program, the terminal 200 connects to the member store support server 100 to send and receive information regarding the ordering of goods or goods, display the screen of the ordering site, and perform these functions from the member store. Accept instructions for.

<2. Overview>
An example of the outline of the member store support system 1 will be described with reference to FIG.

As shown in Fig. 2, as a premise, the card company solicits member stores that provide credit card payments to participate in the member store support service, and provides support services to multiple member stores that have announced their participation and have contracted. I will provide a. In this example, it is assumed that the first member store, Restaurant A, and the second member store, Super B, participate in the recruitment. Further, in this example, the ordering business of the goods or goods of Super B shall be performed by the retailer B, which is the operator of Super B. Furthermore, in this example, it is agreed that Restaurant A and Super B and other merchants competing with each of these merchants will provide the results of future demand forecasts for goods or goods. It shall be.

(1) The first terminal 200a of the restaurant A provides the member store support server 100 with the sales provision record data of the restaurant A. Here, the "sales provision record data" is data indicating at least one of the sales record of the product or the service provision record of each member store. The details of the sales provision record data will be described later. Similarly, the second terminal 200b of the retailer B that operates the supermarket B provides the member store support server 100 with the sales provision record data of the supermarket B. The member store support server 100 acquires the provided sales provision record data.

(2) The member store support server 100 forecasts the demand for goods or services in the first predetermined period of each of the restaurant A and the supermarket B by using the sales provision record data of the restaurant A and the supermarket B on the analysis server 300 of the analysis solution vendor. To instruct.

The "first predetermined period" is a future period for which the demand forecast of goods or services of each of the plurality of member stores is targeted. In other words, the first predetermined period is also a period for selling goods or providing services for ordering goods or goods of each of a plurality of member stores. The first predetermined period should be set as appropriate, such as next week, next month, three months from the next month, next year, etc., according to the product or goods ordering business, product sales business, service provision business, etc. at each of the multiple member stores. Just do it.

(3) The analysis server 300 predicts the demand for goods or services based on the instruction in (2) above, and provides the result of the demand forecast to the member store support server 100. The member store support server 100 acquires the result of the provided demand forecast.

(4) The member store support server 100 generates order candidate data for each of the restaurant A and the supermarket B based on the result of the demand forecast acquired in the above (3). Here, the "order candidate data" is data indicating one or more order data candidates for ordering a product or an article at each of a plurality of member stores. The details of the order data will be described later. Further, the member store support server 100 refers to, for example, the competition storage unit 131 described later that stores competition information, and among the results of the demand forecast, the demand forecast at other member stores that compete with each of the restaurant A and the supermarket B. The results may be extracted. Here, the "competitive information" is information indicating other member stores competing with each member store. The member store support server 100 provides the first terminal 200a and the second terminal 200b with order candidate data and competitive forecast information indicating the result of the extracted demand forecast.

(5) Restaurant A and retailer B make order data candidates and competitor store demand forecasts on their respective terminals 200 based on the order candidate data and competition forecast information provided by the member store support server 100 in (4) above. And display the result of. The restaurant A and the retailer B confirm the displayed order data candidates and the results of the demand forecasts of the competitors, and select the order data to be used by each of the order data candidates. In this way, the restaurant A and the retailer B instruct the card company to order the goods or goods with the selected order data. The member store support server 100 accepts the selection of this order data.

(6) The member store support server 100 integrates the selected ordering data and performs an ordering process for ordering the goods or goods in order to place an order for the goods or goods collectively for each ordering party.

(7) The member store support server 100 groups a plurality of member stores into member store area groups for each area where the member stores are located. The member store support server 100 performs a process for delivering the ordered product or article to the member store so that the product or article is collectively delivered for each member store area group.

According to the above configuration, the member store support server 100 integrates the orders for restaurants A and super B from a plurality of businesses for each ordering party and performs the ordering process, so that the ordering cost can be reduced by the volume discount. can. In addition, according to the above configuration, the settlement operator acts on behalf of restaurant A and retailer B to generate order data by acquiring past sales results of products from these member stores. , The order processing can be performed on behalf of the selection of the order data to be used from these member stores. Therefore, according to the above configuration, the settlement business operator can provide the member store with a value other than the settlement.

According to the above configuration, the restaurant A and the retailer B can grasp the result of the demand forecast at other competing member stores together with the candidate of the order data of the product or the goods. As a result, according to the above configuration, the restaurant A and the retailer B select the ordering data to be used from the candidates for the ordering data of the goods or goods in view of the demand forecast of the goods or goods of other competing member stores. can do. Therefore, according to the above configuration, the restaurant A and the retailer B can differentiate themselves from other competing member stores in ordering goods or goods.

<3. Functional configuration>
The functional configuration of the member store support server 100 according to the present embodiment will be described with reference to FIG. As shown in FIG. 3, the member store support server 100 includes a control unit 110, a storage unit 130, and a communication unit 140.

The control unit 110 includes an acquisition unit 111, a prediction instruction unit 112, a generation unit 115, a provision unit 116, a reception unit 117, and an order processing unit 118. Further, the control unit 110 includes, for example, a prediction unit 113, a grouping unit 119, a delivery processing unit 120, an extraction unit 121, a concealment processing unit 122, a storage unit 123, a first estimation unit 124, or a second estimation unit 125. May be good.

The acquisition unit 111 acquires sales provision record data indicating at least one of the sales record of the product or the service provision record of each of the plurality of member stores from the devices of the plurality of member stores operated by the plurality of businesses. The mode in which the acquisition unit 111 acquires the sales provision record data may be any mode. For example, the data file of the sales provision record data is received from the terminal 200 periodically or event-driven by the request from the acquisition unit 111. You may. Further, as another example of the mode in which the acquisition unit 111 acquires the sales provision record data, the API implemented by the business operator server is instructed to refer to the sales provision record data, and as a result, the sales provision record data is acquired. May be good.

The sales provision record data may include, for example, POS data recorded by the POS terminal of the member store during a predetermined period. The POS data is, for example, a "merchant ID" for identifying a member store, a "product service ID" for identifying a product to be sold or a service to be provided, and a sales quantity of the product as a sales history in a predetermined period. Or, "sales quantity / amount provided" indicating the amount of services provided, "sales provision date / time information" indicating the date and time of product sales or service provision at member stores, and sales amount due to product sales or service provision at member stores. It may include the indicated "sales amount" and the like.

The sales provision record data is, for example, the point member data acquired by the POS terminal or the like by registering the customer at the member store as a point member or by giving points to the point member at the time of payment settlement at the member store during a predetermined period. It may be included. The point member data is, for example, a "member ID" for identifying a point member at a target member store, a "name" indicating the customer's name as personal information or an attribute of a customer who is a point member, and a customer's address. May include an "address" indicating the customer's email address, an "address" indicating the customer's gender, a "gender" indicating the customer's gender, a "date of birth" indicating the customer's date of birth, and the like.

The sales provision record data may include, for example, sale information indicating the contents of the sale held at the member store in a predetermined period. Further, the sales provision record data may include, for example, weather information indicating the weather in the area where each of the plurality of member stores is located in a predetermined period.

The forecast instruction unit 112 instructs the forecast unit to forecast the demand using the sales provision record data, and acquires the result of the demand forecast. This prediction unit may be a functional unit included in the analysis server 300, or may be a functional unit included in the member store support server 100 (prediction unit 113 described later). The mode in which the forecast instruction unit 112 instructs the forecast unit to forecast the demand may be any mode. For example, when the analysis server 300 includes the forecast unit, the API provided by the analysis server is instructed to forecast the demand. May be done. In this case, the forecast instruction unit 112 acquires the result of the demand forecast from this API.

The forecasting unit 113 forecasts the demand for goods or services in the first predetermined period of each of the plurality of member stores based on the sales provision record data in response to the instruction from the forecasting instruction unit 112. The prediction unit 113 uses, for example, a method such as (1) moving average method, (2) exponential smoothing method, (3) regression analysis, etc., to obtain the sales amount of each product of the first member store in the first predetermined period. You may predict the sales volume. Further, the prediction unit 113 may predict a plurality of sales amounts or sales quantities for each product, for example, according to the method used for the prediction and the input sales performance (for example, the sales quantity or the sales amount of the product).

For example, in the above (3) regression analysis, the prediction unit 113 uses a machine learning technique such as SVM (Support Vector Machine) to determine the sales amount or sales quantity of each product of the first member store in the first predetermined period. You may predict. When the objective variable in this regression analysis is the sales amount or sales quantity of each product of the first member store in the prediction unit 113, the explanatory variable is replaced with or in addition to the sales performance of the product in the past predetermined period, and the above customer's It may be the attribute, the weather indicated by the weather information, or the content of the sale indicated by the above sale information. The prediction unit 113 may train the combination of the feature quantities of these objective variables and explanatory variables as learning data by inputting it into the prediction model for forecasting the demand. The forecasting unit 113 makes the above demand forecast using the trained forecast model.

The generation unit 115 generates order candidate data indicating one or more order data candidates based on the result of the demand forecast acquired by the forecast instruction unit 112. The order data includes, for example, an "order number" for identifying an order, an "order date", a "order" indicating the supplier's business operator (for example, wholesale or manufacturer), and an "order" indicating the member store of the order source. "Original", "goods or goods ID" indicating goods or goods, "goods or goods cost" indicating the purchase price of goods or goods, "order quantity" indicating the quantity of goods or goods, and transaction amount in ordering It may include "transaction amount" and the like. Candidates for ordering data may include data items similar to ordering data, and may also include the recommendation level of the ordering data or the recommended value of the price of goods or services. For example, the generation unit 115 may store the generated order candidate data in the storage unit 130 described later.

The generation unit 115 may generate a plurality of order data candidates by extracting one set from each of a plurality of sales amounts or a plurality of sales quantities for each product in the predicted first predetermined period and combining them.

The generation unit 115 may adjust the order quantity included in the order data, for example, based on the result of the demand forecast in the extracted competing member stores. For example, when the sales volume of a specific product A at another member store competing with the first member store tends to increase in the first predetermined period, the generation unit 115 determines the first predetermined period of the product A at the first member store. The order quantity for the product may be reduced to a predetermined ratio (for example, 80%).

According to the above configuration, the generation unit 115 can adjust the order quantity on behalf of the member store in view of the result of the demand forecast at other competing member stores.

For example, the generation unit 115 may calculate the recommended value of the price of the goods or services from the purchase price included in the order data based on the result of the demand forecast in the other competing member stores extracted. For example, when the sales amount of the specific product A is on the rise in the first predetermined period at another member store competing with the first member store, the generation unit 115 has the first predetermined period of the product A at the first member store. The price for the product A may be calculated as a recommended value by raising the price to a predetermined ratio (for example, 3.5 times, etc.) instead of setting the price for the product A to 3 times the purchase price of the normal product A.

According to the above configuration, the generation unit 115 can support the member store to price the goods or services in view of the result of the demand forecast at the other competing member stores.

The generation unit 115 may adjust the number of candidates for order data, for example, based on the first delegation degree estimated by the first estimation unit 124 described later. Here, the "first delegation degree" is the degree to which the member store delegates the ordering business of goods or goods to the settlement business operator. The first degree of delegation may be, for example, a gradual degree having three stages of "high", "medium", and "low" or five stages of 1 to 5. For example, the generation unit 115 may narrow down the number of order data candidates to three when the first delegation degree is “high” with five criteria for the number of order data candidates. According to such a configuration, the generation unit 115 can set the number of candidates for ordering data to the number according to the past agency results when the settlement operator acts on behalf of the ordering business of the target product of the member store. can.

The generation unit 115 may adjust the number of candidates for order data, for example, based on the second delegation degree estimated by the second estimation unit 125 described later. For example, the generation unit 115 may increase the number of order data candidates to seven when the first delegation degree is "low", with five criteria for the number of order data candidates. Here, the "second delegation degree" is a degree of delegating the ordering business of goods or goods to a settlement business operator, which is different from the first delegation degree. Similar to the first delegation degree, the second delegation degree may be, for example, a stepwise degree having three stages of "high", "medium", and "low" or five stages of 1 to 5. According to such a configuration, the generation unit 115 sets the number of candidates for ordering data to the number according to the past record of providing payment means when the settlement operator acts on behalf of the ordering business of the target product of the member store. can do.

The providing unit 116 provides the terminal 200 with the order candidate data of the member store. The mode in which the providing unit 116 provides various data including the order candidate data to the external device may be any mode. For example, the data file of the order candidate data may be transmitted to the terminal 200, or the order candidate data may be transmitted. May be implemented to make the terminal 200 refer to. Further, as another example, in the mode in which the providing unit 116 provides the ordering candidate data, even if the providing unit 116 generates an ordering site indicating the candidate of the ordering data and distributes it to the terminal 200 via the communication unit 140. good. The member store can confirm the candidate of the order data from this ordering site delivered to the terminal 200.

For example, the providing unit 116 may provide the terminal 200 with competitive forecast information indicating the result of the demand forecast extracted by the extracting unit 121. According to such a configuration, the member store can select the order data to be used from the candidates for the order data of the goods or goods in view of the demand forecast of the goods or goods of other competing member stores. Therefore, according to such a configuration, the member store can differentiate from other competing member stores in ordering goods or goods.

The providing unit 116 may provide the competition prediction information to the terminal 200, for example. Here, the "competition forecast information" is information indicating the result of the demand forecast that has been secretly processed by the secret processing unit 122, which will be described later. With such a configuration, merchants can be prevented from being identified with other competing merchants in providing the results of future demand forecasts for goods or goods. Therefore, according to such a configuration, the providing unit 116 can reduce the resistance to providing the result of the demand forecast of the future goods or goods in the member store to each other.

The reception unit 117 accepts the selection of the order data to be used by the member store from the candidates for the order data from the terminal 200. The mode in which the reception unit 117 accepts the selection of the order data to be used by the member store may be any mode. For example, the member store selects and communicates with the candidate of the order data of the ordering site distributed by the providing unit 116. The selection result may be received via the unit 140.

The order processing unit 118 integrates the above-selected order data for each supplier and performs order processing for ordering a product or an article. The order processing unit 118 may, for example, integrate the ordering of goods or goods to a specific manufacturer of the ordering party and generate order slip data indicating the order slip of the integrated order. The order processing unit 118 transmits the order slip data generated via the communication unit 140 to the ordering party server 400 of this manufacturer. Here, the "order slip data" is data indicating a slip for requesting the ordering party to place an order for a product or an article based on the integrated order data. The order slip data may be, for example, digitized order slip data (for example, a PDF file or the like).

The grouping unit 119 groups a plurality of member stores into member store area groups. The member store area group is a group for each area where the member stores are located. The grouping unit 119 may be grouped by referring to the group information indicating the member store area group stored in the storage unit 130, for example. The grouping unit 119 may be grouped by, for example, (1) each delivery company requesting delivery of the ordered goods or goods, and (2) each industry of the member store, in addition to the member store area group.

The delivery processing unit 120 performs processing for delivering the ordered goods or goods to the member stores so that the goods or goods are collectively delivered for each member store area group. The delivery processing unit 120 may integrate the delivery of the goods or goods of the member stores grouped by the grouping unit 119 to the delivery company requesting the delivery of the goods or goods, for example. The delivery processing unit 120 generates delivery request data indicating a delivery request for integrated delivery. The delivery processing unit 120 transmits the delivery request data generated via the communication unit 140 to the delivery company server 500 of the delivery company.

According to the above configuration, the delivery processing unit 120 can request the delivery company to ship the goods or goods for each area where the member store is located, so that the delivery of the ordered goods or goods is streamlined and the delivery cost is reduced. Can be reduced.

The extraction unit 121 refers to a competition storage unit, which will be described later, which stores competition information indicating other member stores that compete with each member store. The competitive storage unit may be a functional unit included in the storage unit 130 (competitive storage unit 131 described later), or may be a functional unit included in the terminal 200. The extraction unit 121 extracts the result of the demand forecast at the other member stores from the result of the demand forecast by the above reference.

The concealment processing unit 122 secretly processes information that can identify each member store with respect to the result of the demand forecast extracted by the extraction unit 121. For example, the concealment processing unit 122 deletes (1) the corresponding data items (for example, the store name and the business operator name of the member store) or the cells included in the data items with respect to the extracted demand forecast result. , (2) abstracting all or part of the data, (3) generalizing the data by super-conceptualization or numerical shortening, (4) top or bottom coding for the data, (5) data exchange, or (6) ) It may be concealed by adding noise (error) to the data to the result of the target demand forecast.

The storage unit 123 stores the selection record of the order data received by the reception unit 117 and the order record of the order processing unit 118 in the second predetermined period. Here, the "second predetermined period" is a period for accumulating the selection record and the order record. The second predetermined period may be set as appropriate, for example, the past 3 months, the past 1 year, the past 3 years, and the like. The storage unit 123 may store the selection record and the order record in the second predetermined period by storing them in the record storage unit 132, which will be described later.

The first estimation unit 124 estimates the first delegation degree based on at least one of the selection record and the order record accumulated by the storage unit 123. The first estimation unit 124 may set the first delegation degree to the lowest "low", for example, when the order record in the past three months at the second member store is zero.

The second estimation unit 125 refers to the record storage unit that stores the settlement usage record data, and estimates the second delegation degree based on the record indicated by the settlement usage record data. For example, when the number of times the card payment means provided by the card company in the second member store is used exceeds a predetermined standard, the second estimation unit 125 sets the second delegation degree to higher than the standard "3" out of five stages. It may be "4".

Here, the "payment usage record data" is data showing the record of the member store using the settlement means provided by the settlement business in the commercial transaction in the third predetermined period.

The storage unit 130 stores various information and various data related to the support of the ordering business of goods or goods at the member store. Further, the storage unit 130 may include, for example, a competitive storage unit 131 or a performance storage unit 132. The storage unit 130 may store various information and various data by using a database management system (DBMS), or may store various information and various data by using a file system. When using the DBMS, the storage unit 130 may provide a table for each of the above-mentioned information or the above-mentioned data, and manage various information or various data by associating the tables with each other.

The competition storage unit 131 stores the competition information. The record storage unit 132 stores the settlement usage record data. Further, the record storage unit 132 may store, for example, order record data indicating at least one of the selection record of the order data received by the reception unit 117 and the order record of the order processing unit 118.

The communication unit 140 transmits and receives various information to and from the terminal 200 or the device of the external system such as the analysis server 300, the supplier server 400, or the delivery company server 500 via the network N. For example, the communication unit 140 receives sales provision record data from the terminal 200 and transmits order candidate data and the like to the terminal 200 via the network N.

<4. Operation example>
An operation example of the member store support system 1 will be described with reference to FIG. The order of processing shown below is an example, and may be changed as appropriate.

As shown in FIG. 4, the first terminal 200a stores the sales provision record data indicating the sales performance of the product at the first member store, and refers to the sales provision record data (S10). The first terminal 200a transmits the sales provision record data of the first member store to the member store support server 100 based on the result of the reference (S11). The acquisition unit 111 of the member store support server 100 acquires the sales provision record data of the first member store from the first terminal 200a (S12).

The second terminal 200b stores the sales provision record data indicating the service provision record at the second member store, and refers to the sales offer record data (S13). The second terminal 200b transmits the sales provision record data of the second member store to the member store support server 100 based on the result of the reference (S14). The acquisition unit 111 of the member store support server 100 acquires the sales provision record data of the second member store from the second terminal 200b (S15).

The forecast instruction unit 112 of the member store support server 100 sells the first member store and the second member store to the forecast unit that forecasts the demand for goods or services in the first predetermined period of each of the first member store and the second member store. The demand forecast is instructed using the provision record data, and the result of the demand forecast is acquired (S16). Based on the result of the demand forecast, the generation unit 115 generates order candidate data for ordering goods or goods used for providing services at each of the first member store and the second member store (S17). ..

The providing unit 116 of the member store support server 100 transmits the order candidate data of the first member store to the first terminal 200a (S18). The first terminal 200a receives the order candidate data of the first member store and displays the candidate of the order data on the screen based on the order candidate data (S19). The first terminal 200a receives an input from the first member store to select the order data to be used from the displayed order data candidates (S20). The first terminal 200a transmits the result of the selection input of the received order data to the member store support server 100 (S21). The reception unit 117 of the member store support server 100 receives the result of the selection input from the first terminal 200a and accepts the selection of the order data to be used by the first member store among the candidates for the order data (S22).

The providing unit 116 of the member store support server 100 transmits the order candidate data of the second member store to the second terminal 200b (S23). The second terminal 200b receives the order candidate data of the second member store and displays the candidate of the order data on the screen based on the order candidate data (S24). The second terminal 200b receives an input from the second member store to select the order data to be used from the displayed order data candidates (S25). The second terminal 200b transmits the result of the selection input of the received order data to the member store support server 100 (S26). The reception unit 117 of the member store support server 100 receives the result of the selection input from the second terminal 200b and accepts the selection of the order data to be used by the second member store among the candidates for the order data (S27).

The order processing unit 118 of the member store support server 100 integrates the order data selected by each of the first member store and the second member store for each ordering party, and performs order processing for ordering the goods or goods ( S28).

<5. Hardware configuration>
An example of the hardware configuration in the case where the member store support server 100 described above is realized by the computer 800 will be described with reference to FIG. The function of each device can be realized by dividing it into a plurality of devices.

As shown in FIG. 5, the computer 800 includes a processor 801 and a memory 803, a storage device 805, an input I / F unit 807, a data I / F unit 809, a communication I / F unit 811 and a display device. Includes 813.

The processor 801 controls various processes in the computer 800 by executing a program stored in the memory 803. For example, each functional unit or the like included in the control unit 110 of the member store support server 100 can be realized by the processor 801 executing a program temporarily stored in the memory 803.

The memory 803 is a storage medium such as a RAM (Random Access Memory) or the like. The memory 803 temporarily stores the program code of the program executed by the processor 801 and the data required when the program is executed.

The storage device 805 is a non-volatile storage medium such as a hard disk drive (HDD) or a flash memory. The storage device 805 stores an operating system and various programs for realizing each of the above configurations. In addition, it is also possible to store a table for registering order data, order candidate data, competition information or group information, and a DB for managing the table. Such programs and data are referred to by the processor 801 by being loaded into the memory 803 as needed.

The input I / F unit 807 is a device for receiving input from the user. Specific examples of the input I / F unit 807 include a keyboard, a mouse, a touch panel, various sensors, a wearable device, and the like. The input I / F unit 807 may be connected to the computer 800 via an interface such as USB (Universal Serial Bus).

The data I / F unit 809 is a device for inputting data from the outside of the computer 800. Specific examples of the data I / F unit 809 include a drive device for reading data stored in various storage media. It is also conceivable that the data I / F unit 809 is provided outside the computer 800. In that case, the data I / F unit 809 is connected to the computer 800 via an interface such as USB.

The communication I / F unit 811 is a device for performing data communication via the Internet N by wire or wirelessly with an external device of the computer 800. It is also conceivable that the communication I / F unit 811 is provided outside the computer 800. In that case, the communication I / F unit 811 is connected to the computer 800 via an interface such as USB.

The display device 813 is a device for displaying various kinds of information. Specific examples of the display device 813 include a liquid crystal display, an organic EL (Electro-Luminescence) display, a display of a wearable device, and the like. The display device 813 may be provided outside the computer 800. In that case, the display device 813 is connected to the computer 800 via, for example, a display cable or the like. Further, when the touch panel is adopted as the input I / F unit 807, the display device 813 can be integrally configured with the input I / F unit 807.

It should be noted that the above-described embodiment is an example for explaining the present invention, and the present invention is not intended to be limited only to the embodiment. Further, the present invention can be modified in various ways as long as it does not deviate from the gist thereof. Further, those skilled in the art can adopt an embodiment in which each element described below is replaced with an equal one, and such an embodiment is also included in the scope of the present invention.

1 ... Merchant support system, 100 ... Merchant support server, 110 ... Control unit, 130 ... Storage unit, 140 ... Communication unit, 800 ... Computer, 801 ... Processor, 803 ... Memory, 805 ... Storage device, 807 ... Input I / F unit, 809 ... data I / F unit, 811 ... communication I / F unit, 813 ... display device.

Claims (9)

A member store support server used by a payment operator that provides a means of payment for commercial transactions to a member store.
An acquisition department that acquires sales provision record data indicating at least one of the sales record of products or the provision record of services of each of the plurality of member stores from the equipment of a plurality of member stores operated by a plurality of businesses.
With a forecasting instruction unit that instructs the forecasting unit that forecasts the demand for goods or services in the first predetermined period of each of the plurality of member stores using the sales provision record data and acquires the result of the demand forecasting. ,
A generator that generates order candidate data indicating one or more order data candidates for ordering goods or goods used for providing services at each of the plurality of member stores based on the result of the demand forecast. ,
A provider that provides the member store's device with the order candidate data of the member store,
A reception unit that accepts selection of order data to be used by the member store from the order data candidates from the device of the member store.
Each supplier is provided with an order processing unit that integrates the selected order data and performs order processing for ordering the product or the article.
Merchant support server. A grouping unit that groups the plurality of member stores into member store area groups for each area where the member stores are located, and a grouping unit.
A delivery processing unit that performs processing for delivering the ordered goods or the goods to the member stores is further provided so that the goods or goods are collectively delivered for each member store area group.
The member store support server according to claim 1. An extraction unit that extracts the result of the demand forecast at the other member store from the results of the demand forecast by referring to the competition storage unit that stores the competition information indicating the other member stores that compete with each of the member stores.
The providing unit provides the device of the member store with competitive forecast information indicating the result of the extracted demand forecast.
The member store support server according to any one of claims 1 or 2. Candidates for the ordering data include at least one of the ordered quantity and purchase price of the goods or goods and a recommended value of the price of the goods or services.
The generation unit adjusts the order quantity based on the result of the demand forecast at the other member store, and calculates the recommended value of the price from the purchase price.
The member store support server according to claim 3. A secret processing unit that secretly processes information that can identify each member store with respect to the extracted demand forecast result is further provided.
The providing unit provides the equipment of the member store with competitive forecast information indicating the result of the secretly processed demand forecast.
The member store support server according to claim 3 or 4. A storage unit that accumulates at least one of the selection record of the order data received by the reception unit and the order record of the order processing unit in the second predetermined period.
First, the first delegation degree, which is the degree to which the member store delegates the ordering business of the goods or the goods to the settlement business operator, is estimated based on at least one of the accumulated selection results and the ordering results. Estimator and
The member store support server according to any one of claims 1 to 5, wherein the generation unit adjusts the number of candidates for ordering data based on the first delegation degree. With reference to the record storage unit that stores the settlement usage record data indicating the record of using the settlement means provided by the settlement operator in the third predetermined period, the member store said the member store based on the record. A second estimation unit that estimates the second degree of delegation, which is the degree of delegation of the goods or the ordering business of the goods to the settlement business operator.
The member store support server according to any one of claims 1 to 6, wherein the generation unit adjusts the number of candidates for ordering data based on the second delegation degree. To the member store support server used by the payment operator that provides the payment method for commercial transactions to the member store,
An acquisition function that acquires sales provision record data indicating at least one of the sales record of each of the products or the service provision record of each of the multiple member stores from the equipment of the plurality of member stores operated by a plurality of businesses.
With a forecasting instruction function that instructs the forecasting unit that forecasts the demand for goods or services in the first predetermined period of each of the plurality of member stores using the sales provision record data and acquires the result of the demand forecasting. ,
Based on the result of the demand forecast, a generation function for generating order candidate data indicating one or more order data candidates for ordering goods or goods used for providing services at each of the plurality of member stores. ,
A function of providing the member store's device with the order candidate data of the member store, and
A reception function that accepts selection of order data to be used by the member store from the order data candidates from the device of the member store, and
For each supplier, the order processing function that integrates the selected order data and performs the order process for ordering the product or the article is realized.
program. The server used by the payment operator that provides the payment method for commercial transactions to the member stores
Obtain sales provision record data indicating at least one of the sales record of each of the products or the service provision record of each of the multiple member stores from the equipment of the plurality of member stores operated by the plurality of businesses.
The forecasting unit that forecasts the demand for goods or services in the first predetermined period of each of the plurality of member stores is instructed to forecast the demand using the sales provision record data, and the result of the demand forecast is acquired.
Based on the result of the demand forecast, order candidate data indicating one or more order data candidates for ordering goods or goods used for providing services at each of the plurality of member stores is generated.
The order candidate data of the member store is provided to the device of the member store, and the order candidate data of the member store is provided.
From the device of the member store, the selection of the order data to be used by the member store is accepted from the candidates of the order data.
For each supplier, the selected order data is integrated and an order process for ordering the product or the article is performed.
Merchant support method.

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