JP2022156775A - Order system - Google Patents

Abstract

To allow each user to freely order his/her favorite items without cost.SOLUTION: A smartphone 10 displays a menu screen that includes items for which orders can be accepted. When accepting an order from the menu screen, the smartphone 10 notifies an information processor 20 of information on the order. The information processor 20 then forwards log information regarding information on the order accepted from the smartphone 10 to an analyzer 90. When receiving the log information, the analyzer 90 stores the log information in a graph DB 94. The analyzer 90 detects recommended items based on the log information stored in the graph DB 94, and transmits information about the detected recommended items to the smartphone 10.SELECTED DRAWING: Figure 1

Description

The present invention relates to ordering systems.

2. Description of the Related Art Conventionally, there has been known a self-ordering system in which a customer (user) operates a dedicated terminal installed on a table to place an order in a restaurant such as a restaurant. In such a system, for example, a plurality of users who enter the store together and sit at the same table share one dedicated terminal to place an order. Also, the user can display the order history and request accounting processing by operating the dedicated terminal.

JP 2020-77145 A

However, in the conventional self-ordering system, since a plurality of users use a dedicated terminal installed on the table, there is a problem that each of the plurality of users cannot freely place an order. It is also conceivable to install a plurality of dedicated terminals on the table, but in this case there is a problem of cost. In addition, conventional self-ordering systems can only display standard menus, and cannot present recommended products according to the order history and preferences of each user.

In order to solve the above-described problems and achieve the object, an ordering system of the present invention includes a user terminal, an information processing device, a store device, and an analysis device, wherein the user terminal is: an acquisition unit for acquiring access information of an information processing device; a request unit for requesting store menu information from the information processing device using the access information acquired by the acquisition unit; When the menu information is acquired, a display unit for displaying a menu screen including items that can be ordered using the menu information, and when an order is received from the menu screen displayed by the display unit a notification unit for notifying the information processing device of the order information; and the information processing device, when receiving a request for the menu information from the user terminal, acquires the menu information corresponding to the store, a menu information transmission unit for transmitting menu information to the user terminal; an order information transmission unit for transmitting the order information to the store device when the order information is received from the user terminal; and the user terminal. a log transfer unit that transfers log information related to the order information received from the store device to an analysis device; and a storage unit that, when the store device receives the order information, stores the order information in a storage unit. The analysis device detects recommended products based on a storage unit that stores the log information in a storage unit when log information is received from the information processing device, and based on the log information stored by the storage unit. and a product information transmission unit that transmits information on the recommended product detected by the detection unit to the user terminal.

ADVANTAGE OF THE INVENTION According to this invention, it is effective in providing the system by which each user can freely order favorite goods easily, without incurring cost.

FIG. 1 is a block diagram showing an example of an ordering system according to the first embodiment. FIG. 2 is a diagram for explaining a processing example in the ordering system according to the first embodiment. FIG. 3 is a diagram illustrating a display example of a dedicated tablet installed in a store. FIG. 4 is a diagram illustrating a display example of a smartphone. FIG. 5 is a diagram illustrating a display example of a smartphone. FIG. 6 is a diagram illustrating a display example of a smartphone. FIG. 7 is a diagram illustrating a display example of a smartphone. FIG. 8 is a diagram illustrating an example of data stored in a graph DB; FIG. 9 is a diagram illustrating a process of transferring a log by an information processing apparatus; 10A and 10B are diagrams illustrating a process of notifying a recommended product by an analysis device; FIG. FIG. 11 is a sequence diagram showing an example of the flow of processing in the ordering system according to the first embodiment. FIG. 12 is a diagram showing a computer that executes a program.

An embodiment of the ordering system according to the present application will be described in detail below with reference to the drawings. Note that the ordering system according to the present application is not limited to this embodiment.

[First Embodiment]
In the following embodiments, the configuration of the order system according to the first embodiment and the flow of processing in the order system will be described in order, and finally the effects of the first embodiment will be described.

[Order system configuration]
FIG. 1 is a block diagram showing an example of an ordering system according to the first embodiment. The ordering system according to the first embodiment includes a smartphone 10 owned by a user, an information processing device 20, a store device 30, a tablet 40 installed in the store, a DB server 50, a server device 60, an analysis a device 90; The smartphone 10 owned by the user, the information processing device 20 , the DB server 50 , the server device 60 , and the analysis device 90 communicate via the Internet 70 .

Further, the store device 30 and the server device 60 shall communicate via a LAN (Local Area Network) 80 . Note that the configuration shown in FIG. 1 is merely an example, and the specific configuration and the number of each device are not particularly limited. Also, the form of the network shown in FIG. 1 is merely an example, and each device may communicate via any communication network such as the Internet, LAN, or VPN (Virtual Private Network) regardless of whether it is wired or wireless. good.

In the ordering system according to the first embodiment, a user who has entered a store such as a restaurant or the like reads a QR code (registered trademark) in the store with the smartphone 10 owned by the user, thereby displaying the menu on the smartphone 10. display. Then, the user selects a product from the smartphone 10 and places an order.

A smartphone 10 is a terminal device owned by a user. The smartphone 10 has an acquisition unit 11 , a request unit 12 , a display unit 13 and a notification unit 14 . The acquisition unit 11 acquires access information of the information processing device 20 . For example, the acquisition unit 11 reads a QR code prepared for each table in the store and acquires a URL as access information.

More specifically, the user displays the QR code on the tablet 40 by operating the tablet 40 dedicated to the store installed on the table of the store. Then, the user performs an operation of reading the QR code using the camera function of the smartphone 10 or the like. Thereby, the acquisition unit 11 reads the QR code and acquires the URL to the information processing device 20 . In addition to the URL, the QR code includes information identifying the store, information identifying the table, slip number, and the like. It is also assumed that the URL includes information identifying the store, information identifying the table, and a query character string in which the slip number and the like are encrypted.

Alternatively, the acquisition unit 11 may acquire access information by reading a QR code prepared for each table in the store and updated at predetermined time intervals. In other words, by changing the QR code displayed on the tablet 40 in the store at predetermined time intervals, it is possible to prevent abuse such as ordering by a user at another table. Also, the QR code may be changed at any timing. For example, the QR code may be changed each time the customer at the table changes (each time the payment is completed).

The requesting unit 12 uses the access information acquired by the acquiring unit 11 to request the information processing device 20 for store menu information. For example, the request unit 12 first accesses the information processing apparatus 20 using a URL, and accesses the DB server 50 by redirection to acquire UI information. Here, UI information is, for example, a framework for constructing a user interface. For example, the request unit 12 acquires “Vue.js.App”, which is a JavaScript (registered trademark) framework for constructing a UI necessary for a WEB application or the like, as an example of a framework.

After that, the request unit 12 requests the information processing device 20 for the menu, and acquires the menu data stored in the menu information DB 52 of the DB server 50 via the information processing device 20 .

When the display unit 13 acquires the menu information from the information processing device, the display unit 13 uses the menu information to display a menu screen including items for which orders can be accepted. In addition, the display unit 13 may display the order history of orders placed in units of tables and the order history of orders placed in units of users so as to be switchable according to the user's operation. For example, the display unit 13 displays a screen for selecting an icon corresponding to the user, and when an operation to select an icon is accepted by the user, when displaying the order history, each ordered product and , an icon corresponding to the user who ordered each item may be displayed. Display examples of the menu screen and the order history will be described later with reference to FIGS. 4 to 7. FIG.

When an order is received from the menu screen displayed by the display unit 13, the notification unit 14 notifies the information processing device 20 of information on the order. For example, the notification unit 14 notifies the information processing device 20 of order information each time the user operates the smartphone 10 from the menu screen to place an order. Information processing device 20 transfers the order information to store device 30 via server device 60 and LAN 80 .

The information processing device 20 performs various processes according to various requests received from the smartphone 10 . For example, the information processing device 20 is an API gateway having various functions for API utilization by an API (Application Programming Interface) user. For example, the information processing device 20, which is an API gateway, converts data or functions provided by the DB server 50 and the server device 60 into APIs, and manages the provision of these APIs. The information processing device 20 also transfers order log information to the analysis device 90 .

The information processing device 20 also has a menu information transmission section 21 , an order information transmission section 22 and a log transfer section 23 . When receiving a request for menu information from the smartphone 10 , the menu information transmission unit 21 acquires menu information corresponding to the store and transmits the menu information to the smartphone 10 .

For example, first, when the menu information transmission unit 21 receives access using a URL from a smartphone that has read the QR code, the menu information transmission unit 21 decodes the query string included in the URL, and generates information identifying the store, information identifying the table, By acquiring the invoice number and redirecting the smartphone 10 to the DB server 50, the smartphone 10 is caused to acquire the UI information. Thereafter, when receiving a menu request from the smartphone 10, the menu information transmission unit 21 requests the DB server 50 for menu data corresponding to the acquired store identification information, and acquires the menu data. , the data of the menu is transmitted to the smartphone 10 .

When receiving order information from the smartphone 10 , the order information transmission unit 22 transmits the order information to the store device 30 . For example, the order information transmission unit 22 transmits order information to the store device 30 via the server device 60 by transferring the order information to the server device 60 .

The log transfer unit 23 transfers log information related to order information received from the smartphone 10 to the analysis device 90 . For example, when the order information transmission unit 22 receives order information from the smartphone 10 , the log transfer unit 23 transfers the order information to the analysis device 90 as log information. Note that the log transfer unit 23 may transfer the log information at any timing. For example, the log information may be transferred each time the order information transmission unit 22 receives order information from the smartphone 10. However, after accumulating a certain amount of log information, the log information may be transferred.

The store device 30 is a store-side server device. Store device 30 has storage unit 31 , menu information DB 32 and order information DB 33 .

When receiving order information from the smartphone 10 , the storage unit 31 stores the order information in the order information DB 33 . For example, the storage unit 31 stores order information received from the smartphone 10 via the information processing device 20 and the server device 60 in the order information DB 33 . Here, the storage unit 31 stores, for example, a user ID that identifies the user who ordered the product, a store ID that identifies the store, a table ID that identifies the table, and, in association with the product ID that identifies the ordered product, The slip number is stored in the order information DB33.

The menu information DB 32 stores menu data for the store. For example, the menu information DB 32 stores product IDs, product names, product prices, product images, etc. in association with each other.

The order information DB 33 stores history information of orders placed by users. For example, the order information DB 33 stores the user ID of the user who placed the order, the shop ID, the table ID, the product ID of the ordered product, the quantity of each ordered product, the slip number, and the like. The order information DB 33 also stores flag information indicating whether or not payment has been made.

The tablet 40 is a dedicated device installed in the store. For example, the tablet 40 is installed for each table, and displays a QR code for ordering from the user's smartphone 10 according to the user's operation. In this system, the tablet 40 is not essential. For example, the display of the QR code may be displayed on signage in the store, or the paper on which the QR code is printed may be pasted on the table in the store. good too.

The DB server 50 is a server device having a DB that stores various types of information in a data format (for example, Json ((JavaScript Object Notation)) format) for the smartphone 10 . For example, the DB server 50 has a UI information DB 51 and a menu information DB 52 .

The UI information DB 51 stores a framework for constructing a user interface as UI information. For example, the UI information DB 51 stores, as an example of a framework, "Vue.js.App", which is a JavaScript framework for constructing a UI necessary for a web application or the like.

The menu information DB 52 stores menu data for each store. For example, the menu information DB 52 stores the item ID, item name, item price, and item image of each store in association with the store ID as data for the menu of each store. The data stored in the menu information DB 52 has the same content as the data in the menu information DB 32, but the data format of the data stored in the menu information DB 52 is a Json (JavaScript Object Notation) format for the smartphone 10. In contrast to the data format, the data format of the data stored in the menu information DB 52 of the store device 30 is a data format unique to the store device 30 (for example, CSV format) or the like. It is also assumed that the data stored in the menu information DB 52 has been appropriately updated to the latest data in the menu information DB 32 .

The server device 60 is a server device that performs various processes. For example, the server device 60 is a cloud computing service platform that provides various services on the cloud. The server device 60 receives requests from the information processing device 20 and executes various processes. For example, when the server device 60 receives an order information registration request from the information processing device 20 , the server device 60 causes the store device 30 to register the order information. When the server device 60 receives a request for menu data from the information processing device 20 , the server device 60 acquires menu information from the store device 30 , converts the menu information into smartphone data, and transmits the data to the information processing device 20 . do.

Here, an example of processing in the ordering system according to the first embodiment will be described using FIG. FIG. 2 is a diagram for explaining a processing example in the ordering system according to the first embodiment. As illustrated in FIG. 2, the smartphone 10 reads the QR code displayed on the tablet 40 installed at each table in the store, and acquires the URL as access information.

Then, the smartphone 10 uses the URL to request the information processing device 20 for store menu information. When receiving access using a URL from a smartphone that has read a QR code, the information processing device 20 decodes the query character string included in the URL, and acquires information identifying the store, information identifying the table, and a slip number. At the same time, the smartphone 10 is redirected to the DB server 50 .

Then, the smartphone 10 accesses the DB server 50 by redirection, requests UI information (Vue.js.App) from the DB server 50, and acquires the UI information. Subsequently, the smartphone 10 requests the information processing device 20 for a menu.

When the information processing apparatus 20 receives a menu request from the smartphone 10, the information processing apparatus 20 requests the DB server 50 for menu data corresponding to the acquired store identification information, acquires the menu data, and prepares the menu. The data is cached and the data of the menu is transmitted to the smart phone 10. - 特許庁The information processing apparatus 20 requests the data of the menu from the DB server 50 periodically (for example, every 10 minutes) to update the data of the menu to the latest. For example, since the menu data also includes out-of-stock information, the information processing device 20 can update the out-of-stock information by updating to the latest menu data. .

When the smartphone 10 acquires menu data from the information processing device 20 , the smartphone 10 uses the menu data and the UI information to display a menu screen on which an order can be accepted. When the smartphone 10 receives an order from the displayed menu screen, the smartphone 10 notifies the information processing device 20 of the order information. After that, the information processing device 20 transmits the order information to the store device 30 via the server device 60 by transferring the order information to the server device 60 .

When paying, the user touches a button to call a salesclerk or a checkout button displayed on the screen of the smartphone 10 to call the salesclerk and pay the bill. Alternatively, electronic money or a credit card managed by the smartphone 10 may be used for accounting.

Next, FIG. 3 is a diagram illustrating a display example of a dedicated tablet 40 installed in a store. FIG. 3 is a diagram illustrating a display example of a dedicated tablet installed in a store. As illustrated in FIG. 3, the user displays a QR code on the tablet 40 by operating the tablet 40 dedicated to the store installed on the table of the store. In the example of FIG. 3 , the user displays a QR code on the tablet 40 by touching the “order by smartphone” button displayed on the tablet 40 . Then, the user performs an operation to read the QR code using the camera function of the smartphone 10 or the like, and moves to a dedicated web page.

Next, display examples of the smartphone 10 will be described with reference to FIGS. 4 to 7. FIG. FIG. 4 is a diagram illustrating a display example of a smartphone. As illustrated in FIG. 4 , the smartphone 10 displays a plurality of characters, allows the user to make a selection, and then displays a menu display top screen. In the example of FIG. 4, the smartphone 10 displays a plurality of animals as a plurality of characters for the user to select. Then, when the user selects "lion" from among a plurality of animals, the smartphone 10 displays a confirmation screen for confirming whether the selected character is acceptable, and when the "OK" button is touched, , to display the top screen.

Subsequently, as illustrated in FIG. 5, the smartphone 10 displays an image list of products that can be ordered. The user touches the image of the product to be ordered among the products displayed on the smartphone 10, selects the number of orders, and touches the "order" button. Then, the smartphone 10 displays an order confirmation screen. When the user touches the "OK" button displayed on the smartphone 10, the order is confirmed. That is, when the user touches the “OK” button displayed on the smartphone 10 , the smartphone 10 notifies the information processing device 20 of the confirmed order information. After that, the information processing device 20 notifies the store device 30 of the confirmed order information.

Further, as illustrated in FIG. 6, the smartphone 10 may display a confirmation screen for confirming the order history and the order amount. In the example of FIG. 6, the smartphone 10 displays the order history and total price of the products ordered from the smartphone 10 when the user touches the "order confirmation" button. Also, when the user touches "this table" at the top of the screen, the smartphone 10 displays the order history of all products ordered from the same table. Here, the smartphone 10 displays the character of the smartphone that ordered each product in the order history of all the products ordered from the same table, so that who (which smartphone) ordered the product can be identified. It is identifiable.

Further, as illustrated in FIG. 7 , the smartphone 10 calls a clerk when the user touches the “call clerk” button and further touches the “OK” button on the subsequent screen. In other words, when the user touches the “OK” button displayed on smartphone 10 , smartphone 10 notifies information processing apparatus 20 via server apparatus 60 of the clerk call. After that, the information processing device 20 notifies the shop device 30 of calling the store clerk.

The analysis device 90 receives log information related to order information from the information processing device 20, analyzes the log information, and transmits product information of recommended products to the smartphone. The analysis device 90 has a storage section 91 , a detection section 92 and a product information transmission section 93 .

The graph DB 94 stores log information related to order information. The graph DB 94 stores data in graph data format, for example. FIG. 8 is a diagram illustrating an example of data stored in a graph DB; For example, as illustrated in FIG. 8, the graph DB 94 stores graph data represented by nodes, edges indicating relationships between nodes, and properties indicating attribute information on the nodes and edges. The graph data illustrated in FIG. 8 indicates that, for example, "user A" purchased "product A," "product B," and "product C."

In addition, the graph DB 94 stores not only the purchased product but also the number of times the product was purchased, the name of the store where the product was purchased, the date and time when the product was purchased, and the time from the visit to the store to the purchase of the product as information related to orders. do. The graph DB 94 may also store product names, prices, product images, and the like as product information. The graph DB 94 may also store the user's name, age, address, character selected by the user, and the like as information about the user. Note that the graph DB 94 is not limited to the configuration in which the log information related to the order is stored in the graph data format. For example, the storage unit may store the log information data in the table format.

When receiving the log information from the information processing device 20 , the storage unit 91 stores the log information in the graph DB 94 . For example, the storage unit 91 updates the graph data stored in the graph DB 94 according to the received log information. The storage unit 91 stores not only the information of the user who purchased the product and the information of the purchased product, but also, for example, the name of the store where the product was purchased, the date and time when the product was purchased, and the user who purchased the product after visiting the store. The time until is stored in the graph DB 94 .

For example, the storage unit 91 stores log information in the graph DB 94 each time log information is transferred from the information processing device 20 to the analysis device 90 . Here, processing for transferring logs by the information processing apparatus 20 will be described with reference to FIG. 9 . FIG. 9 is a diagram illustrating a process of transferring a log by an information processing apparatus; As shown in FIG. 9 , when receiving order information from the smartphone 10 , the information processing device 20 transmits the order information to the store device 30 via the server device 60 . At this time, the information processing device 20 transfers the order information to the analysis device 90 as log information.

The detection unit 92 detects recommended products based on the log information stored by the graph DB 94 . For example, when a request for recommended products is received from the information processing device 20, the detection unit 92 analyzes the log information as follows and detects recommended products in order to recommend recommended products to the user based on the purchase history at restaurants. do. Note that the detection unit 92 may perform one or more of the processes for detecting recommended products exemplified below.

For example, the detection unit 92 analyzes hot-selling products purchased at each store. Specifically, the detection unit 92 totalizes the number of times each product has been ordered for each store, and detects a predetermined number of products with the highest total number of orders as recommended products and best-selling products.

Also, for example, the detection unit 92 analyzes other products purchased by the user who purchased the same product. Specifically, the detection unit 92 uses the log information stored by the graph DB 94 to identify other products purchased by the user who purchased the same product as the user to whom the recommended product is presented, The product is detected as a recommended product. If there are a plurality of other purchased products, the detection unit 92 may detect all of them, or may detect only a predetermined number of products with the highest number of orders.

Further, for example, the detection unit 92 uses the log information stored by the graph DB 94 to count the number of times each product has been ordered for each icon, and determines the counted number of times each product has been ordered and the recommended product. A recommended product is detected according to the icon selected by the user to be presented. More specifically, the detection unit 92 detects, as recommended products, a predetermined number of products with the highest total number of times for the icon selected by the user to whom the recommended product is presented.

Also, for example, the detection unit 92 analyzes other products purchased by the user who purchased the same combination of products. Specifically, the detection unit 92 uses the log information stored by the graph DB 94 to identify other products purchased by the user who purchased the same combination of products as the user to whom the recommended product is presented. Then, the product is detected as a recommended product. If there are a plurality of other purchased products, the detection unit 92 may detect all of them, or may detect only a predetermined number of products with the highest number of orders.

Further, for example, the detection unit 92 uses the log information stored in the graph DB 94 to count the number of times each product has been ordered for each period of time that has elapsed since the user visited the store. The recommended product is detected according to the number of times the recommended product is presented and the elapsed time since the user to whom the recommended product is presented has visited the store. More specifically, the detecting unit 92 detects, as recommended products, a predetermined number of products with the highest total number of counts in a period of time that has elapsed since the user to whom the recommended products were presented visited the store.

Further, for example, the detection unit 92 uses the log information stored in the graph DB 94 to count the number of times each product is ordered by the user for each time the user visits the store, and counts the number of times the counted product is ordered. The recommended product is detected according to the number of times the recommended product is presented and the time when the user to whom the recommended product is presented visits the store. More specifically, the detection unit 92 detects, as recommended products, a predetermined number of products with the highest counted number of times at the time when the target user to whom the recommended products are presented visits the store.

In addition, for example, the detection unit 92 uses the log information stored in the graph DB 94 to count the number of times each product has been ordered by the user for each region, and counts the counted number of times each product has been ordered and the recommended number of times. A recommended product is detected according to the region of the store visited by the target user to whom the product is presented. More specifically, the detecting unit 92 detects, as recommended products, a predetermined number of products with the highest counted number of times in the region of the store visited by the target user to whom the recommended products are presented.

The product information transmission unit 93 transmits information regarding recommended products detected by the detection unit 92 to the smartphone 10 . For example, the product information transmission unit 93 transmits the product name, price, and product image data of the recommended product to the smartphone 10 via the information processing device 20 as information related to the recommended product. Note that, when receiving the information on the recommended product, the information processing device 20 may include the information on the recommended product in the menu information and transmit it to the smartphone 10 , or may transmit only the information on the recommended product to the smartphone 10 . .

Here, the process of notifying recommended products by the analysis device 90 will be described with reference to FIG. 10 . 10A and 10B are diagrams illustrating a process of notifying a recommended product by an analysis device; FIG. As illustrated in FIG. 10, the analysis device 90 accumulates log information in the graph DB 94, detects recommended products from the accumulated data, and notifies the smartphone 10 of the recommended products. As a result, the analysis device 90 can analyze the log of the ordering system according to the present application, analyze various trends of the orderer, and notify the smartphone 10 of recommended products.

[Order system processing procedure]
Next, with reference to FIG. 11, an example of the procedure of processing in the ordering system according to the first embodiment will be described. FIG. 11 is a sequence diagram showing an example of the flow of processing in the ordering system according to the first embodiment.

As shown in FIG. 11, the smartphone 10 of the ordering system reads the QR code prepared for each table in the store (step S101). For example, the smartphone 10 reads the QR code displayed on the tablet 40 installed at each table in the store, and acquires the URL as access information. The smartphone 10 then accesses the acquired URL (step S102).

When the information processing device 20 receives access using the URL from the smartphone 10 that has read the QR code, the information processing device 20 decrypts the query string included in the URL (step S103). As a result, the information processing device 20 acquires the information identifying the store, the information identifying the table, and the slip number included in the query string. The information processing device 20 then instructs the smartphone 10 to be redirected to the DB server 50 (step S104).

Then, the smartphone 10 accesses the DB server 50 through redirection, requests the DB server 50 to acquire UI information (Vue.js.App) (step S105), and acquires the UI information (step S106). Subsequently, the smartphone 10 requests a menu from the information processing device 20 (step S107).

When the information processing device 20 receives a menu request from the smartphone 10, the information processing device 20 requests the DB server 50 for the menu data corresponding to the acquired store identification information (step S108). Information is requested from the analysis device 90 (step S109). Upon receiving a request for a recommended product, the analysis device 90 detects the recommended product based on the log information stored in the graph DB 94 and transmits information on the recommended product to the information processing device 20 . Then, the information processing device 20 acquires menu data from the DB server 50 (step S110), and acquires recommended product information from the analysis device 90 (step S111). Subsequently, the information processing device 20 transmits menu data including information on recommended products to the smartphone 10 .

The smartphone 10 acquires the menu data transmitted from the information processing device 20 (step S112). Then, the smartphone 10 uses the data of the menu and the UI information to display a menu screen on which an order can be accepted (step S113). When the smartphone 10 receives an order from the displayed menu screen, the smartphone 10 notifies the information processing device 20 of the order information (step S114). After that, the information processing device 20 transfers the order information to the server device 60 (step S115). Further, server device 60 transfers the order information to store device 30 (step S116). When receiving the order information from the server device 60, the store device 30 stores the order information in the order information DB 33 (step S117).

Further, when receiving the order information from the smartphone 10, the information processing device 20 transmits the order information to the analysis device 90 as log information (step S118). The analysis device 90 then stores the log information in the graph DB 94 (step S119).

[Effects of the first embodiment]
In the ordering system according to the first embodiment, the smartphone 10 acquires the access information of the information processing device 20, and uses the access information to request the information processing device 20 for store menu information. When the information processing device 20 receives a request for menu information from the smartphone 10 , the information processing device 20 acquires menu information corresponding to the store and transmits the menu information to the smartphone 10 . Subsequently, when the smartphone 10 acquires the menu information from the information processing device 20 , the menu information is used to display a menu screen including items that can be ordered. Then, when the smartphone 10 receives an order from the menu screen, it notifies the information processing device 20 of the information of the order. When the information processing device 20 receives order information from the smartphone 10 , the information processing device 20 transmits the order information to the store device 30 . The information processing device 20 also transfers log information related to the order information received from the smartphone 10 to the analysis device 90 . After that, when the store device 30 receives order information from the smartphone 10 , the order information is stored in the order information DB 33 . Moreover, when the log information is received, the analysis device 90 stores the log information in the graph DB 94 . Then, the analysis device 90 detects recommended products based on the log information stored in the graph DB 94 and transmits information about the detected recommended products to the smartphone 10 . Therefore, in the ordering system according to the first embodiment, each user can freely and easily order their favorite products without incurring costs.

In other words, in the order system according to the first embodiment, the store side can accept orders from the user's smartphone 10 while using the existing system such as the store device 30. Therefore, the existing system can be newly installed. It is possible to suppress the cost of purchasing a dedicated terminal when trying to introduce it, the running cost of using it, etc., and suppress the cost. In addition, in the order system according to the first embodiment, by displaying an order screen on the browser without downloading an application to the smartphone 10, it is possible to easily place an order from one's own smartphone 10. be. In addition, in the ordering system according to the first embodiment, each user can place an order from his or her own smartphone 10, which eliminates concerns such as virus infection of customers to dedicated terminals used by an unspecified number of people. is possible.

Further, in the ordering system according to the first embodiment, the analysis device 90 accumulates log information in the graph DB 94, detects recommended products from the accumulated data, and notifies the smartphone 10 of the recommended products. As a result, the analysis device 90 can analyze the log of the ordering system according to the present application, analyze various trends of the orderer, and notify the smartphone 10 of recommended products. In addition, in the order system according to the present application, by notifying recommended products based on the past order history, the orderer can place an order in a short time without taking the trouble to read the menu and think about the contents of the order.

In addition, in the ordering system according to the first embodiment, the smartphone 10 reads the QR code prepared for each table in the store to acquire access information. Therefore, on the store side, it is possible for a plurality of users to freely place orders from their own smartphones 10 only by preparing QR codes. In addition, in the above-described example of FIG. A plurality of users can freely place orders without having to provide

In addition, in the order system according to the first embodiment, the smartphone 10 reads a QR code prepared for each table in the store and updated at predetermined intervals to acquire access information. . As a result, by changing the QR code displayed on the tablet 40 in the store at predetermined time intervals, it is possible to prevent abuse such as ordering by a user at another table.

In addition, in the order system according to the first embodiment, the smartphone 10 displays the order history of orders placed on a table-by-table basis and the order history of orders placed on a user-by-user basis so as to be switchable according to the user's operation. This allows the user to check the order history of orders placed in units of tables and the order history of orders placed by himself/herself on his/her own smartphone 10 .

Further, in the order system according to the first embodiment, the smartphone 10 displays a screen for selecting an icon corresponding to the user, and displays the order history when the user accepts an icon selection operation. In this case, an icon corresponding to the user who ordered each product is displayed together with each ordered product. Thereby, the smartphone 10 can display a screen for easily confirming which user has ordered which product.

In addition, in the order system according to the first embodiment, the analysis device 90 uses the log information to count the number of times each product has been ordered for each time that has passed since the user visited the store. The recommended product is detected according to the number of times the product has been ordered and the time elapsed since the user to whom the recommended product is presented has visited the store. Therefore, the analysis device 90 can change the recommended products and present them to the user according to the time that has passed since the user visited the store.

In addition, in the order system according to the first embodiment, the analysis device 90 uses log information to count the number of times each product has been ordered by the user for each time the user visits the store, The recommended product is detected according to the number of times the is ordered and the time when the user to whom the recommended product is presented visits the store. Therefore, the analysis device 90 can change the recommended products and present them to the user according to the time when the user visits the store.

Further, in the order system according to the first embodiment, the analysis device 90 counts the number of times each product has been ordered for each icon using log information, and counts the total number of times each product has been ordered, The recommended product is detected according to the icon selected by the user to whom the recommended product is presented. Therefore, the analysis device 90 can change the recommended product according to the character selected by the user and present it to the user.

In each of the above-described embodiments, the case where the smartphone 10 acquires the URL of the information processing device 20 by reading the QR code has been described, but the present invention is not necessarily limited to this. For example, when the user makes a reservation from the reservation site of the store with the smartphone 10, the URL of the information processing device 20 may be acquired from the reservation site. In this case, it is possible to set the validity period of the URL so that orders can be placed with the ordering system only during the hours of use of the reserved store.

(system configuration, etc.)
Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured. Further, each processing function performed by each device may be implemented in whole or in part by a CPU and a program analyzed and executed by the CPU, or implemented as hardware based on wired logic.

Further, among the processes described in this embodiment, all or part of the processes described as being automatically performed can be performed manually, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods. In addition, information including processing procedures, control procedures, specific names, and various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified.

(program)
Further, a program written in a computer-executable language for processing executed by the smartphone 10, the information processing device 20, the store device 30, the tablet 40, the DB server 50, the server device 60, and the analysis device 90 described in the above embodiments is provided. You can also create For example, a program is created in which the processing executed by the smartphone 10, the information processing device 20, the store device 30, the tablet 40, the DB server 50, the server device 60, and the analysis device 90 according to the embodiment is described in a computer-executable language. can also In this case, the same effects as those of the above embodiments can be obtained by having the computer execute the program. Further, such a program may be recorded in a computer-readable recording medium, and the program recorded in this recording medium may be read by a computer and executed to realize processing similar to that of the above embodiments.

FIG. 12 is a diagram showing a computer that executes a program. As illustrated in FIG. 12, the computer 1000 includes, for example, a memory 1010, a CPU (Central Processing Unit) 1020, a hard disk drive interface 1030, a disk drive interface 1040, a serial port interface 1050, a video adapter 1060, A network interface 1070 and these units are connected by a bus 1080 .

The memory 1010 includes a ROM (Read Only Memory) 1011 and a RAM 1012 as illustrated in FIG. The ROM 1011 stores a boot program such as BIOS (Basic Input Output System). Hard disk drive interface 1030 is connected to hard disk drive 1090 as illustrated in FIG. Disk drive interface 1040 is connected to disk drive 1100 as illustrated in FIG. A removable storage medium such as a magnetic disk or optical disk is inserted into the disk drive 1100 . The serial port interface 1050 is connected to, for example, a mouse 1110 and a keyboard 1120, as illustrated in FIG. Video adapter 1060 is connected to display 1130, for example, as illustrated in FIG.

Here, as illustrated in FIG. 12, the hard disk drive 1090 stores an OS 1091, application programs 1092, program modules 1093, and program data 1094, for example. That is, the above program is stored, for example, in hard disk drive 1090 as a program module in which instructions to be executed by computer 1000 are described.

Various data described in the above embodiments are stored as program data in the memory 1010 or the hard disk drive 1090, for example. Then, the CPU 1020 reads the program modules 1093 and program data 1094 stored in the memory 1010 and the hard disk drive 1090 to the RAM 1012 as necessary, and executes various processing procedures.

Note that the program module 1093 and program data 1094 related to the program are not limited to being stored in the hard disk drive 1090. For example, they may be stored in a removable storage medium and read by the CPU 1020 via a disk drive or the like. . Alternatively, the program module 1093 and program data 1094 related to the program are stored in another computer connected via a network (LAN (Local Area Network), WAN (Wide Area Network), etc.), and are stored via the network interface 1070. may be read by the CPU 1020 at the same time.

The above-described embodiments and modifications thereof are included in the scope of the invention described in the claims and their equivalents, as well as in the technology disclosed in the present application.

10 smartphone 11 acquisition unit 12 request unit 13 display unit 14 notification unit 20 information processing device 21 menu information transmission unit 22 order information transmission unit 23 log transfer unit 30 store device 31 storage unit 32 menu information DB
33 Order information DB
40 tablet 50 DB server 51 UI information DB
52 Menu information DB
60 server device 90 analysis device 91 storage unit 92 detection unit 93 product information transmission unit 94 graph DB

Claims (10)

An ordering system having a user terminal, an information processing device, a store device, and an analysis device,
The user terminal is
an acquisition unit that acquires access information of an information processing device;
a request unit that requests the information processing device for store menu information using the access information acquired by the acquisition unit;
a display unit that, when the menu information is acquired from the information processing device, uses the menu information to display a menu screen including products that can be ordered;
a notification unit that, when an order is received from the menu screen displayed by the display unit, notifies the information processing device of the order information;
The information processing device is
a menu information transmitting unit that acquires menu information corresponding to the store and transmits the menu information to the user terminal when the request for the menu information is received from the user terminal;
an order information transmission unit configured to transmit the order information to the store device when the order information is received from the user terminal;
a log transfer unit that transfers log information related to the order information received from the user terminal to an analysis device;
The store device is
a storage unit that, when receiving the order information, stores the order information in a storage unit;
The analysis device is
a storage unit that, when log information is received from the information processing device, stores the log information in a storage unit;
a detection unit that detects recommended products based on the log information stored by the storage unit;
a product information transmission unit that transmits information about recommended products detected by the detection unit to the user terminal;
An ordering system characterized by comprising: 2. The ordering system according to claim 1, wherein the acquisition unit acquires the access information by reading a QR code prepared for each table in the store. 2. The acquisition unit according to claim 1, wherein the acquisition unit acquires the access information by reading a QR code prepared for each table in the store and updated at predetermined intervals. ordering system. 2. The ordering system according to claim 1, wherein the display unit displays an order history of orders placed on a table basis and an order history of orders placed on a user basis so as to be switchable according to a user's operation. The display unit displays a screen for selecting an icon corresponding to the user, and when an operation of selecting an icon by the user is accepted, when displaying the order history, each ordered product and each 2. The ordering system according to claim 1, wherein an icon corresponding to each user who ordered the product is displayed. The detection unit uses the log information stored by the storage unit to count the number of times each product has been ordered for each time that has elapsed since the user visited the store, and counts the total number of times each product has been ordered. 2. The ordering system according to claim 1, wherein the recommended product is detected in accordance with the time elapsed since the user to whom the recommended product is presented has visited the store. The detection unit uses the log information stored by the storage unit to count the number of times each product has been ordered by the user for each time the user visits the store, and counts the total number of times each product has been ordered. 2. The ordering system according to claim 1, wherein the recommended product is detected according to the time when the user to whom the recommended product is presented visits the store. The detection unit counts the number of times each product has been ordered for each icon using the log information stored by the storage unit, and presents the counted number of times each product has been ordered and recommended products. 2. The ordering system according to claim 1, wherein said recommended product is detected according to an icon selected by a target user. The detection unit uses the log information stored by the storage unit to identify other products purchased by a user who purchased the same product as the user to whom the recommended product is presented, and recommends the product. 2. The ordering system according to claim 1, wherein the product is detected as a product. The detection unit uses the log information stored by the storage unit to identify other products purchased by a user who has purchased the same combination of products as the user to whom the recommended product is presented, and detects the product. is detected as a recommended product.

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