JP2017027585A - Information processing device, information processing method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device that selects a competing restaurant of top sales of the restaurants with high accuracy and provides information for improving a management situation (menu) of the restaurant.SOLUTION: An information processing device stores information by associating the identification information of multiple restaurants with the restaurant information containing at least the category information of the menu of the food and drink capable of being provided by the multiple restaurants. The information processing device receives data containing a unit price and the number of order of every menu from the POS systems of the multiple restaurants, respectively, and provides a menu having an overlapping rate of a predetermined threshold or more about the category between the menu of a first restaurant among multiple restaurants on the basis of the restaurant information stored and POS data received, and also, selects the other restaurant having the sales per unit area larger than the sales per unit area of the first restaurant as a second restaurant. The information processing device extracts the category associated with the first restaurant or the category having an order rate higher than a price range or a price range among the menus of the second restaurant, and transmits it to the POS system of the first restaurant.SELECTED DRAWING: Figure 4

Description

  The present invention relates to an information processing apparatus capable of communicating with a restaurant POS (point of sales) system, and an information processing method and program in the information processing apparatus.

  Conventionally, POS systems have been introduced in restaurants from the viewpoint of efficient management management. The points of when and what products were sold by the POS system are tabulated, and business management of restaurants is performed based on this.

  In the following Patent Document 1, the POS server acquires POS data for each restaurant from the restaurant server, and on the basis of the POS data of the restaurant and other restaurants having conditions similar to the restaurant based on the POS data. A system for extracting and comparing and transmitting the comparison result to a restaurant server is disclosed. In the said system, the restaurant can grasp | ascertain the state of the own shop compared with another shop based on the said comparison result transmitted, and can perform management management.

JP 2013-137657 A

  However, in the technique described in Patent Document 1, other similar restaurants are extracted based on attributes such as area, business type, and location conditions. However, the other restaurants have similar areas, business types, and location conditions. Even if it is, it may not actually be a competitor of its own restaurant. In that case, even if the POS data is compared with other extracted restaurants, it does not contribute to improvement of the management of the restaurant.

  In addition, this technology compares sales per seat with other restaurants, but just by comparing it, the restaurant cannot determine the event that causes the difference in sales, Cannot take improvement measures.

  In view of the circumstances as described above, the object of the present invention is to select a competitor store with high sales of a restaurant with high accuracy and to contribute to improvement of the restaurant management status (menu) based on the POS data of the competitor store. Is to provide an information processing apparatus, an information processing method, and a program.

  In order to achieve the above object, an information processing apparatus according to an aspect of the present invention includes a storage unit, a communication unit, and a control unit. The said memory | storage means matches and memorize | stores the identification information of a some restaurant, and the restaurant information which contains at least the category information regarding the category of the menu of the food and drink which a said some restaurant can provide. The communication means receives POS data including a unit price for each menu and the number of orders from the POS system of the plurality of restaurants. The control means, based on the stored restaurant information and the received POS data, has a predetermined threshold for at least the category among the plurality of restaurants and the menu of the first restaurant. Another restaurant that provides a menu having the above-described overlap rate and that has a sales per unit area larger than the sales per unit area of the first restaurant is selected as the second restaurant. Moreover, the said control means respond | corresponds of the said 1st restaurant among the menus of the said 2nd restaurant based on the restaurant information and POS data of the said 1st restaurant and the said 2nd restaurant. A category or price range having an order rate higher than that of the category or price range is extracted. Further, the control means controls the communication means so as to transmit information on the extracted category or price range to the POS system of the first restaurant.

  As a result, the information processing apparatus selects a competing store with higher sales than a restaurant based on the menu overlap and sales per unit area, and the order rate of the competing store is selected based on the POS data of the competing store. By providing information on the category / price range of the high menu to the restaurant, it is possible to promote improvement of the menu of the restaurant and contribute to the improvement of the business condition. That is, the information processing apparatus has an assortment for each category or price range although the categories of menus to be provided overlap as a whole between the first restaurant and the second restaurant in a competitive relationship. The first restaurant will know that the second restaurant is increasing sales due to the difference in the number of items, and by doing so, take measures such as increasing the selection of a specific category or price range menu Can be made. Here, the information processing apparatus may store the area information of each restaurant as part of the restaurant information, and acquire the area information from the outside during the selection process of the second restaurant. May be.

  The control means extracts a category or a price range having an order rate less than a predetermined threshold from the second restaurant menu based on the restaurant information and POS data of the second restaurant. Also good. Further, the control means may control the communication means so as to transmit information regarding a category or price range having an order rate less than the extracted threshold to the POS system of the first restaurant.

  As a result, the information processing apparatus changes the category / price range of the menu to be reduced to the first restaurant instead of increasing the menu of the category / price range where the order rate is high in the second restaurant. Can be grasped.

  Based on the restaurant information and POS data of the first restaurant, the control means includes a menu composition ratio indicating the number of menus of each category or each price range with respect to the total number of menus, and the above-mentioned each category or each price range. The order rate may be compared. Further, when there is a category or price range in which the ratio of the order rate to the menu composition rate is equal to or higher than the first threshold, the control means transmits information on the category or price range to the POS system of the first restaurant. Thus, the communication means may be controlled.

  As a result, the information processing apparatus causes the first restaurant to grasp a menu of a category / price range with a small assortment for a large number of orders at the first restaurant, together with information from the second restaurant. It can be used for menu improvement.

  When there is a category or price range having a ratio of the order rate to the menu composition rate that is smaller than the first threshold value and less than a second threshold value, the control unit first sets information on the category or price range. You may control the said communication means so that it may transmit to the POS system of other restaurants.

  As a result, the information processing apparatus causes the first restaurant to grasp a menu of a category / price range with a small number of orders for a large number of items in the first restaurant, information from the second restaurant, and the above information It can be used for menu improvement together with information on the menu of the category / price range above the first threshold.

  The control means includes the first restaurant and the second restaurant based on the POS data for each of a plurality of time zones in a day, and the second restaurant among the menus of the second restaurant. A category or price range having an order rate higher than the category or price range corresponding to one restaurant may be extracted for each time period.

  Thereby, information processing apparatus performs the comparison of the order rate for every category or price range between a 1st restaurant and a 2nd restaurant for every several time slot | zones in one day, Improvement of the menu of the first restaurant can be proposed in detail for each time zone. The time zone is, for example, a time zone of one hour or two hours in a day, or a time zone for each business division such as lunch business hours or dinner business hours.

  The control means is based on the restaurant information and POS data of the first restaurant and the second restaurant, and the sales of the first restaurant in a predetermined time zone among the plurality of time zones. And the communication means is controlled so as to transmit information suggesting a business in the predetermined time period when it is determined that the sales of the second restaurant are equal to or greater than a predetermined ratio of the daily sales. May be.

  As a result, the information processing apparatus is not operated by the first restaurant in a predetermined time period (for example, lunch business hours or breakfast business hours), and the second restaurant operates in the predetermined time period. In addition, if there is a predetermined sales, it is considered that there is a merit that the first restaurant also operates in the predetermined time zone. The store sales can be improved.

An information processing method according to another aspect of the present invention includes:
Storing the identification information of the plurality of restaurants in association with the restaurant information including at least the category information related to the category of the menu of foods and drinks that the plurality of restaurants can provide,
Receiving POS data including the unit price and the number of orders for each menu from the POS system of the plurality of restaurants,
Based on the stored restaurant information and the received POS data, among the plurality of restaurants, a duplication rate equal to or higher than a predetermined threshold for at least the category with the first restaurant menu. And selecting another restaurant having a sales per unit area larger than the sales per unit area of the first restaurant as the second restaurant,
Based on the restaurant information and POS data of the first restaurant and the second restaurant, out of the menu of the second restaurant, than the corresponding category or price range of the first restaurant. Extract categories or price ranges with high order rates,
Transmitting information on the extracted category or price range to the POS system of the first restaurant.

A program according to another embodiment of the present invention is provided in an information processing device.
A step of storing identification information of a plurality of restaurants in association with restaurant information including at least category information related to a category of food and drink menus that can be provided by the plurality of restaurants;
Receiving POS data including at least unit price and order quantity for each menu from the POS systems of the plurality of restaurants;
Based on the stored restaurant information and the received POS data, among the plurality of restaurants, a duplication rate equal to or higher than a predetermined threshold for at least the category with the first restaurant menu. Providing another menu having a sales per unit area that is larger than the sales per unit area of the first restaurant as the second restaurant,
Based on the restaurant information and POS data of the first restaurant and the second restaurant, out of the menu of the second restaurant, than the corresponding category or price range of the first restaurant. Extracting a category or price range with a high order rate;
Transmitting the information on the extracted category or price range to the POS system of the first restaurant.

  As described above, according to the present invention, it is possible to select a competitor store with high sales by a restaurant with high accuracy and provide information that contributes to improvement of the restaurant management status (menu) based on the POS data of the competitor store. can do. However, this effect does not limit the present invention.

It is the figure which showed the structure of the restaurant information provision system which concerns on one Embodiment of this invention. It is the figure which showed the hardware constitutions of the restaurant information provision server which concerns on one Embodiment of this invention. It is the figure which showed the structure of the database which the restaurant information provision server which concerns on one Embodiment of this invention has. It is the flowchart which showed the flow of the provision process of the POS data analysis information of another store by the restaurant information provision server which concerns on one Embodiment of this invention. It is the figure which showed the example of the analysis information of the POS data of the other store produced | generated by the restaurant information provision server which concerns on one Embodiment of this invention, and displayed in a POS system. It is the flowchart which showed the flow of the provision process of the POS data analysis information of the own shop by the restaurant information provision server which concerns on one Embodiment of this invention. It is the figure which showed the example of the analysis information of the POS data of the own shop produced | generated by the restaurant information provision server which concerns on one Embodiment of this invention, and displayed in a POS system. It is the figure which showed the example of the analysis information of the POS data of the own shop produced | generated by the restaurant information provision server which concerns on one Embodiment of this invention, and displayed in a POS system.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

[System configuration]
FIG. 1 is a diagram showing a configuration of a POS data analysis information providing system according to the present embodiment.

  As shown in the figure, this system includes a restaurant information providing server 100 on the Internet 50, a POS system 200 in a plurality of restaurants, and a plurality of user terminals 300.

  The restaurant information providing server 100 is a web server that operates a portal site (restaurant information providing site) on which information about restaurants is posted. The restaurant information providing server 100 is connected to each POS system 200 of a plurality of restaurants and a plurality of user terminals 300 via the Internet 50.

  The restaurant information providing server 100 transmits a web page on which restaurant information matching the search condition is posted to the user terminal 300 that accesses the portal site and inputs the search condition.

  In addition, the restaurant information providing server 100 receives a menu related to a menu provided at each restaurant from the POS system 200 of each restaurant periodically (for example, every predetermined period such as half a day, one day, one week, or one month). In addition to information (menu name, category, etc.), POS data including unit price for each menu, number of orders (number of orders), sales amount, etc. can be received.

  Furthermore, the restaurant information providing server 100 can provide analysis data created based on the POS data received from each POS system 200 to each POS system 200 via a management screen for each POS system 200, for example.

  The POS system 200 (200A, 200B,...) Is provided in each restaurant, and includes, for example, a POS cash register terminal, an order receiving device, a restaurant server, and the like.

  Information relating to customer orders of restaurants is received by, for example, a tablet PC (Personal Computer) type order reception device carried by a restaurant employee (or installed on a customer table). The order data includes, for example, menu (cooking) identification information, its amount, number of orders, order date and time, profit rate, etc., and these data are transmitted to the restaurant server as POS data and stored.

  The POS cash register terminal is a computer that executes an accounting process corresponding to a dish ordered by a restaurant customer. The POS cash register terminal reads identification information such as a barcode printed on a slip issued to the customer after the customer orders the food, inquires of the identification information to the restaurant server, and the corresponding product and price information To calculate the total amount.

  The restaurant server stores information (identification number, menu name, amount, category, etc.) regarding dishes (menus) that can be provided at the restaurant. In addition, the restaurant server attaches a flag for accounting to the POS data for which accounting processing has been completed based on an inquiry about the identification information from a POS cash register terminal, for example.

  The POS cash register terminal, the order receiving device, and the restaurant server constituting the POS system 200 do not necessarily need to be physically separate devices. For example, one tablet PC may have these functions. .

  As described above, the POS system 200 (for example, a restaurant server) periodically transmits POS data for each menu to the restaurant information providing server 100 based on the stored accounted POS data.

  An administrator of each POS system 200 (for example, a restaurant server) can view analysis data created by the restaurant information providing server 100 by accessing, for example, a browser on a management screen provided by the restaurant information providing server 100. It is.

  The user terminal 300 (300A, 300B, 300C ...) is a terminal used by a user (user A, user B, user C ...), for example, a smartphone, a mobile phone, a tablet PC, a notebook PC, A desktop PC or the like.

  The user terminal 300 accesses the restaurant information providing site provided by the restaurant information providing server 100, receives the Web page, and displays it on the screen by a browser.

  The user of the user terminal 300 searches for a restaurant in the portal site via the screen displayed by the browser, and browses information about a desired restaurant. In the information about each restaurant displayed on the Web page, the store name of the restaurant, the ID (store ID) for identifying the restaurant, the category information of the business category / service of the restaurant, the restaurant Contents to introduce (information indicating restaurant features such as PR statements of restaurants and event information performed by restaurants), area information where restaurants are located, restaurant addresses, telephone numbers, restaurants Menu information, restaurant floor area, etc. are included. Here, the floor area may be the area of the entire restaurant, or may be the area only for the passenger seat portion.

[Hardware configuration of restaurant information providing server]
FIG. 2 is a diagram illustrating a hardware configuration of the restaurant information providing server 100. As shown in the figure, a restaurant information providing server 100 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, an input / output interface 15, and these components connected to each other. A bus 14 is provided.

  CPU11 accesses RAM13 grade | etc., Suitably as needed, and controls each whole block of the restaurant information provision server 100 centrally, performing various arithmetic processing. The ROM 12 is a non-volatile memory in which an OS to be executed by the CPU 11, firmware such as programs and various parameters are fixedly stored. The RAM 13 is used as a work area for the CPU 11 and temporarily holds the OS, various applications being executed, and various data being processed.

  A display unit 16, an operation receiving unit 17, a storage unit 18, a communication unit 19, and the like are connected to the input / output interface 15.

  The display unit 16 is a display device using, for example, an LCD (Liquid Crystal Display), an OELD (Organic ElectroLuminescence Display), a CRT (Cathode Ray Tube), or the like.

  The operation reception unit 17 is, for example, a pointing device such as a mouse, a keyboard, a touch panel, and other input devices. When the operation reception unit 17 is a touch panel, the touch panel can be integrated with the display unit 16.

  The storage unit 18 is a non-volatile memory such as an HDD (Hard Disk Drive), a flash memory (SSD; Solid State Drive), or other solid-state memory. The storage unit 18 stores the OS, various applications, and various data.

  As will be described later, particularly in the present embodiment, the storage unit 18 includes a restaurant information database, a POS information database, an order rate information database, and a menu configuration rate information database.

  The communication unit 19 is various modules for wireless communication such as an NIC (Network Interface Card) for Ethernet or a wireless LAN, and performs communication processing with the POS system 200 of each restaurant.

  Although not shown, at least one of the POS cash register terminal, the order receiving device, and the restaurant server that constitutes the POS system 200 includes a storage unit such as an HDD that stores the POS data, and the POS data as the food and beverage. A communication unit that transmits the information to the store information providing server 100.

[Database configuration of restaurant information server]
FIG. 3 is a diagram showing a configuration of a database included in the restaurant information providing server 100.

  As shown in the figure, the restaurant information providing server 100 has a restaurant information database 31, a POS information database 32, and an order rate information database 33 in the storage unit 18.

  The restaurant information database 31 includes, for each restaurant, the name of the restaurant, the ID (store ID) for identifying the restaurant, the genre information of the business type / service of the restaurant, the business hours, the restaurant Provided by the text (information indicating the characteristics of the store, such as PR statements of the store, event information performed by the restaurant, etc.), area information where the restaurant is located, restaurant address, telephone number, restaurant Menu information (including menu ID), store floor area, website URL, and other information are stored. Here, the information regarding the store floor area is not necessarily included in the restaurant information database 31 in advance, and may be acquired from the outside and used when the second restaurant selection process described later is executed. .

  The area information is, for example, in units of prefectures, but information may be stored in units of a narrower range such as municipalities. The genre information may include, for example, main genres such as Japanese, Chinese, Italian, French, yakiniku, and more detailed sub-genres such as yakitori and tempura in Japanese food, pasta and pizza in Italian, and the like.

  The menu information is information stored so that all menus that can be provided by each restaurant can be classified for each category and price range, and are periodically (for example, every day) from the POS system 200 of each restaurant. Received and stored every week). Categories include, for example, salads, stir-fried dishes, meat dishes, fish dishes, powdered dishes, fried dishes, rice dishes, bread, noodles, soup and stewed dishes, skewers, pots, and desserts. Also, a plurality of price ranges are set, for example, from 100 yen to less than 150 yen and from 780 yen to less than 980 yen. The higher the price, the larger the range of one price range. The information regarding the price range may not necessarily be included in the menu information. For example, in the order rate calculation process described later, the price range is appropriately set based on the unit price of each menu extracted from the following POS data, Based on this, each menu may be classified into each price range.

  The POS information database 32 stores POS data for each menu periodically received from the POS system 200 of each restaurant. The POS data includes, for example, a menu ID, its unit price, number of items (or sales amount), order time, and the like. The restaurant information providing server 100 can extract the menu name corresponding to each number of items and its category and price range by referring to the menu information in the restaurant information database 31 using the menu ID as a key. it can.

  The order rate information database 33 stores an order rate for each menu category or price range in each restaurant calculated based on the POS data stored in the POS information database 32. Here, the order rate is the ratio of the number of menu orders belonging to each category or price range to the total number of orders for each restaurant in a predetermined period. The order rate calculation process is executed, for example, periodically or when the POS data is received from the POS system 200 of each restaurant.

  The menu composition rate information database 34 is based on each category or the menu total number of each restaurant calculated based on the menu information (category information and price range information) of each restaurant stored in the restaurant information database 31. It stores the composition ratio of the number of menus in each price range. This calculation process of the menu composition ratio is executed, for example, periodically or when the latest menu information is received from the POS system 200 of each restaurant.

  These databases are used by referring to each other as necessary in the POS data analysis information providing process by the restaurant information providing server 100 described later.

[Operation of restaurant information provision server]
Next, operation | movement of the restaurant information provision server 100 comprised as mentioned above is demonstrated. The operation is executed in cooperation with the hardware such as the CPU 11 and the communication unit 19 of the restaurant information providing server 100 and the software stored in the storage unit 18. In the following description, for the sake of convenience, the CPU 11 is an operation subject.

(POS data analysis information of other stores)
First, the POS data analysis information provision processing of other stores by the restaurant information provision server 100 will be described. This process is executed, for example, by comparison with the POS data of the own store, but may be executed independently of the analysis of the POS data of the own store.

  FIG. 4 is a flowchart showing the flow of the provision processing of the POS data analysis information of other stores by the restaurant information providing server 100. This process is executed, for example, when the management screen is accessed from a POS system of a restaurant (first restaurant) to which analysis information is provided.

  As shown in the figure, first, the CPU 11 of the restaurant information providing server 100 receives POS data from each POS system 200 at every elapse of a predetermined period such as one day or one week (or, for example) (or Whether or not it is stored in the POS information database 32) is determined (step 41).

  If it is determined that the POS data has been received (Yes), the CPU 11 acquires the menu information (category information) of each restaurant corresponding to the POS data from the restaurant information database 31 (step 42).

  Then, CPU11 extracts the restaurant which provides the menu which has a duplication rate more than a predetermined threshold about the category of a menu between menus of a 1st restaurant (step 43).

  Specifically, the CPU 11 searches for a restaurant that provides a menu of a category that matches the category using the category of the menu of the first restaurant as a key. For example, the ratio of the matching category is the first category. Restaurants that are equal to or greater than the threshold ratio (for example, 70%) of the total number of categories in the restaurant menu are extracted.

  Subsequently, the CPU 11 determines a unit between the first restaurant and the extracted restaurant based on the received POS data and floor area information of each restaurant included in the menu information. The sales per area are compared (step 44). Here, the sales may be total sales within a predetermined period at each restaurant, or may be a unit price per customer or sales per hour for a predetermined period. Sales are not limited to the sales amount, and any numerical value can be used as long as the sales of restaurants can be evaluated.

  Subsequently, as a result of the comparison, the CPU 11 selects a restaurant having a larger sales per unit area than the first restaurant as the second restaurant (step 45).

  Subsequently, the CPU 11 analyzes the POS data of the first restaurant and the second restaurant (or refers to the order rate information database 33), and orders for each category or price range of the menu at each restaurant. The rates are compared (step 46). Here, when a plurality of second restaurants are selected, the CPU 11 calculates an average value of the order rates for each category or price range in the plurality of second restaurants, and the average value and the first value are calculated. Compare the order rates for each category or price range at restaurants. It replaces with this and one restaurant with the largest sales per unit area among a plurality of 2nd restaurants may be extracted as the 2nd restaurant. In the present embodiment, a case where one second restaurant is extracted will be described.

  Subsequently, as a result of the comparison, the CPU 11 extracts a category or price range having an order rate higher than the category or price range corresponding to the first restaurant from the menu of the second restaurant (step 47).

  Subsequently, the CPU 11 extracts a category or price range having an order rate less than a predetermined threshold (for example, 5%) from the menu of the second restaurant (step 48).

  And CPU11 transmits to the POS system of a 1st restaurant via the management screen, and displays the information regarding the extracted category or price range (step 49).

  FIG. 5 shows an example of a management screen that displays information on the category or price range extracted by comparing the order rates of the first restaurant and the second restaurant. The figure shows an example in which information about a category is displayed among information on the category and price range.

  In the management screen, for example, a user of the POS system 200 of the first restaurant can select other menus on the menu screen to display other screens described later other than the screen shown in FIG.

  As shown in the figure, on the management screen, for example, the order rate for each category of the first restaurant is displayed on the left side, and for example, the order rate for each category of the second restaurant is displayed on the right side. As above-mentioned, when two or more 2nd restaurants are selected, the average value of the order rate for every category of these 2nd restaurants is displayed.

  In the example of the figure, for the category “fish dishes”, the order rate at the first restaurant is 24%, whereas the order rate at the second restaurant is 1. It is 39%, which is five times or more, and the portion displaying the category is highlighted by being surrounded by a solid line rectangle, for example.

  In addition to the “fish dishes” category, there is a category in which the order rate at the second restaurant is higher than the order rate at the first restaurant. In the example of FIG. A category with a large is highlighted.

  Further, in addition to the solid line highlighting display, advice information 51 that prompts the user to increase, for example, an assortment of fish dishes is also displayed. The content of the advice information 51 is not limited to this.

  Further, in the same figure, the order rate of “rice” at the second restaurant is less than 5%, which is the threshold exemplified above, and therefore, the portion displaying the category is surrounded by a dashed rectangle, for example. Is highlighted.

  In addition to this “rice” category, there are categories where the order rate at the second restaurant is less than the threshold, but the order rate at the first restaurant is 0% in these categories, and the significance of highlighting is significant. Therefore, for example, a category in which the order rate at the second restaurant is lower than the threshold and the order rate at the first restaurant is higher than the order rate at the second restaurant is highlighted.

  Further, in addition to the highlighted display of broken lines, for example, advice information 51 urging to reduce the assortment of rice is also displayed.

  The management screen showing the information regarding the price range is also created in the same manner as the example shown in FIG. 5 and displayed on the POS system 200 of the first restaurant.

  By providing the above information, the person in charge of the first restaurant or the person in charge knows which category or price range menu has a higher order rate at competing stores with higher sales than their own store. And sales can be increased by increasing the menu of the category or price range. In addition, instead of increasing the number of menus, the responsible person or person in charge can reduce menus of categories or price ranges in which the order rate is low even in the competitive store and sales are unlikely to be expected.

(Own store POS data analysis information)
Next, a process of providing analysis information of POS data of the own store (the first restaurant) provided separately from the information obtained by comparing the POS data with another store (the second restaurant) will be described. .

  FIG. 6 is a flowchart showing the flow of processing for providing the POS data analysis information of the own store by the restaurant information providing server 100. This processing is also executed when the management screen is accessed from the POS system of the first restaurant.

  As shown in the figure, first, the CPU 11 of the restaurant information providing server 100 obtains the menu composition ratio for each category and price range of the first restaurant from the menu composition ratio information database 34, and orders. The order rate for each category and price range of the first restaurant is acquired from the rate information database 33 (step 61). When the menu composition rate and the order rate are not stored in the databases, the CPU 11 may calculate them based on the menu information and POS data at that time.

  Subsequently, the CPU 11 compares the acquired menu composition rate with the order rate (step 62).

  Subsequently, the CPU 11 extracts a category or a price range in which the ratio of the order rate to the menu composition rate is equal to or higher than a first threshold (for example, 1.5) (step 63).

  Further, the CPU 11 extracts a category or a price range in which the ratio of the order rate to the menu composition rate is less than a second threshold value (for example, 0.7) that is smaller than the first threshold value (step 64).

  And CPU11 transmits to the POS system of a 1st restaurant via the management screen, and displays the information regarding the extracted category or price range (step 65).

  FIG. 7 and FIG. 8 show a management screen that displays information on a category and price range in which the ratio of the order rate to the menu composition rate is equal to or higher than the first threshold, and a category and price range in which the ratio is lower than the second threshold. An example is shown. FIG. 7 is a screen showing information about categories, and FIG. 8 is a screen showing information about price ranges.

  As shown in FIG. 7, on the management screen, for example, the menu composition rate for each category of the first restaurant is displayed on the left side, and the order rate for each category of the first restaurant is displayed on the right side, for example.

  In the example of the figure, the menu composition rate of the “fried food” category is 8.3%, whereas the order rate is 17.3%. That is, since the ratio of the order rate to the menu composition rate is equal to or higher than the first threshold (1.5), the portion displaying the menu composition rate and the order rate of the category is highlighted by being surrounded by a solid rectangle, for example. Has been.

  Furthermore, in addition to the solid line highlighting, advice information 51 indicating that, for example, the assortment of fried foods is small is also displayed.

  Similarly, the menu composition rate of the category “fish dishes” is 13.9%, whereas the order rate is 24.2%, and the ratio is equal to or higher than the first threshold. A portion for displaying the menu composition rate and the order rate of the category is also highlighted by being surrounded by a solid rectangle. In addition to this, advice information 51 indicating that, for example, there is little assortment of fish dishes is also displayed.

  On the other hand, the menu composition ratio of the “dessert” category is 25.0%, whereas the order ratio is 8.5%, and the ratio of the order ratio to the menu composition ratio is the second. Therefore, a portion for displaying the menu composition rate and the order rate of the category is highlighted by being surrounded by a broken-line rectangle, for example. In addition, advice information 51 indicating that there are too many desserts, for example, is also displayed.

  As shown in FIG. 8, on the management screen, for example, the menu composition rate for each price range of the first restaurant is displayed on the left side, and the order rate for each price range of the first restaurant is displayed on the right side, for example. The

  In the example in the figure, the menu composition ratio of the price range of “270 yen or more and less than 340 yen” is 5.3%, whereas the order ratio is 28.0%. That is, since the ratio of the order ratio to the menu composition ratio is equal to or greater than the first threshold (1.5), the portion displaying the menu composition ratio and the order ratio in the price range is highlighted with a solid rectangle, for example. It is displayed. Furthermore, in addition to the solid line highlighting display, advice information 51 indicating that there is little assortment of menus of, for example, 270 yen or more and less than 340 yen is also displayed.

  On the other hand, the menu composition ratio of the price range of “480 yen or more and less than 580 yen” is 23.8%, whereas the order ratio is 15.8%. That is, since the ratio of the order ratio to the menu composition ratio is less than the second threshold (0.7), the portion displaying the menu composition ratio and the order ratio in the price range is highlighted by being surrounded by a broken-line rectangle, for example. It is displayed. Furthermore, in addition to the highlighted display of the broken line, advice information 51 indicating that there are too many items in the menu of, for example, 480 yen or more and less than 580 yen is also displayed.

  In addition to the price range of “480 yen or more and less than 580 yen”, there is a price range in which the ratio of the order rate to the menu composition rate is equal to or less than the second threshold. In the example of FIG. Only price ranges with a high rate are highlighted.

  By displaying the management screen as shown in both figures, the person in charge or the person in charge of the first restaurant has a small number of items for a large number of orders, and a category / price range with a small number of orders for a large number of items. The menu improvement measures can be taken together with the information obtained by comparing the order rate with the second restaurant shown in FIG.

[Summary]
As described above, the restaurant information providing server 100 selects a competing store with higher sales than a certain restaurant based on menu overlap and sales per unit area, and based on the POS data of the competing store. By providing the restaurant with information on the category / price range of the menu with a high order rate at the competitor, it is possible to promote improvement of the menu of the restaurant and contribute to the improvement of the business condition. That is, the restaurant information providing server 100 has a category of menus to be provided as a whole between the first restaurant and the second restaurant in a competitive relationship, but for each category or price range. Improvements such as increasing the selection of specific categories or price range menus by letting the first restaurant understand that the sales of the second restaurant are increasing due to the difference in the product lineup Can take action.

[Modification]
The present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the scope of the present disclosure.

  In the above-described embodiment, the menu overlap rate between the first restaurant and other restaurants is calculated based on the category of the menu. For example, instead of or in addition to this, does the menu name overlap? The overlap rate may be calculated by In addition, competing stores may be extracted in consideration of whether the price range overlap rate and location area are the same or in the vicinity.

  In above-mentioned embodiment, after extracting a restaurant by the duplication rate of the menu category between the 1st restaurant, sales per unit area between the extracted restaurant and the 1st restaurant However, the processing order may be reversed.

  In addition, the restaurant extraction process based on the overlap rate may be executed in advance before receiving POS data from each POS system.

  In the above-described embodiment, information on the order rate is provided with the order number of the menu of each category or price range with respect to the total number of orders in a predetermined period. However, instead of this, they ordered a menu of a given category or price range for the total number of customers (a group or individual of customers who came together) for a given period (1 day, 1 week, 1 month, etc.) The ratio of the number of pairs (group order rate) is calculated and information about it (comparison of the group order rate between the first restaurant and the second restaurant, the menu composition rate and the group order rate in the first restaurant) Comparison) may be provided.

  In the above-described embodiment, the server that operates the restaurant information providing site and the server that receives and manages the POS data from the POS system 200 of each restaurant are the same server (restaurant information providing server 100). However, a separate POS server that manages the POS data of each restaurant is provided separately from the server that provides the restaurant information, and the POS data is exchanged between the POS server and the restaurant information providing server. Data regarding the rate may be generated and provided to each POS system 200.

  In the above-described embodiment, the comparison of the order rate for each category or price range between the first restaurant and the second restaurant is in accordance with the reception timing of POS data such as one day or one week. Run on period data. However, the restaurant information providing server 100 may perform the comparison for each of a plurality of time zones in one day. Here, the time zone is, for example, a time zone such as a one-hour break or a two-hour break in a day, or a time slot for each business division such as a lunch business time or a dinner business time.

  That is, the restaurant information providing server 100 is configured such that the menu of the second restaurant is based on the POS data for each of a plurality of time zones of the first restaurant and the second restaurant. Among them, a category or price range having an order rate higher than the corresponding category or price range of the first restaurant may be extracted for each time period.

  Thereby, the restaurant information provision server 100 can propose the improvement of the menu of the 1st restaurant for every time slot | zone in detail. Specifically, compared to the first restaurant, there is a certain category or price range in the early hours (for example, from 17:00 to 18:00) of the night business hours of the second restaurant. If the order rate of the menu is high, but it is found that the order rate of the menu of another category or price range is high in the subsequent time zone (for example, the time zone from 19:00 to 20:00), the first order By providing such information to the restaurant, the store staff of the first restaurant is recommended to the customer with a different menu for each time zone, or a menu that is different for each time zone in the order reception device as a recommended menu. It can be posted.

  Moreover, when it turns out that the category which has a high order rate in a 2nd restaurant differs in lunch business hours and dinner business hours, the said information is provided with respect to a 1st restaurant. In the first restaurant, it is possible to take measures such as arranging the ingredients used for the menu provided during the dinner business hours during the lunch business hours by arranging them in a menu of a category different from the dinner hours. .

  In addition, the restaurant information providing server 100, when the second restaurant has a strong sales in the time zone where the first restaurant is not open, operates in the time zone. You may propose to a 1st restaurant.

  That is, the restaurant information providing server 100 performs the first information in the predetermined time zone among the plurality of time zones based on the restaurant information and POS data of the first restaurant and the second restaurant. If it is determined that there is no sales at the restaurant, and that the sales at the second restaurant is equal to or greater than a predetermined percentage of the daily sales, the information for proposing business in the predetermined time zone is transmitted. The communication means may be controlled. It should be noted that the absence of sales at the first restaurant in the predetermined time zone may be determined from the POS data or may be determined from the business hours information included in the restaurant information database 31. The predetermined ratio is, for example, 20% or 30%, but is not limited thereto.

  Thereby, in the restaurant information providing server 100, the first restaurant does not operate in a predetermined time zone (for example, lunch business hours or breakfast business hours), and the second restaurant operates in the predetermined time zone. In the case where the business is conducted and there is a predetermined sales, it is considered that there is an advantage that the first restaurant also operates in the predetermined time zone. 1 restaurant sales can be improved.

  In addition, the first restaurant is provided in the time zone when the business starts anew by providing information on the category or price range with a high order rate in the second restaurant in the proposed time zone. It is also possible to obtain information for determining the category or price range of the menu to be performed.

11 ... CPU
DESCRIPTION OF SYMBOLS 18 ... Memory | storage part 19 ... Communication part 31 ... Restaurant information database 32 ... POS information database 33 ... Order rate information database 34 ... Menu structure rate information database 51 ... Advice information 100 ... Restaurant information provision server 200 ... POS system 300 ... User Terminal

Claims (8)

A storage unit that associates and stores identification information of a plurality of restaurants and restaurant information including at least category information related to a category of food and drink menus that can be provided by the plurality of restaurants;
Communication means for receiving POS data including unit price and order quantity for each menu from the POS system of the plurality of restaurants;
Based on the stored restaurant information and the received POS data, a duplication rate equal to or higher than a predetermined threshold for at least the category among the plurality of restaurants with the menu of the first restaurant. Providing another menu having a sales per unit area larger than the sales per unit area of the first restaurant as a second restaurant,
Based on the restaurant information and POS data of the first restaurant and the second restaurant, out of the menu of the second restaurant, the category or price range corresponding to the first restaurant. Extract categories or price ranges with high order rates,
An information processing apparatus comprising: a control unit that controls the communication unit so as to transmit information on the extracted category or price range to the POS system of the first restaurant. The information processing apparatus according to claim 1,
The control means includes
Based on the restaurant information and POS data of the second restaurant, extract a category or price range having an order rate less than a predetermined threshold from the menu of the second restaurant,
An information processing apparatus that controls the communication unit to transmit information on a category or a price range having an order rate less than the extracted threshold to the POS system of the first restaurant. The information processing apparatus according to claim 1,
The control means includes
Based on the restaurant information and POS data of the first restaurant, the menu composition ratio indicating the number of menus in each category or each price range with respect to the total number of menus is compared with the order rate in each category or each price range And
When there is a category or price range in which the ratio of the order rate to the menu composition rate is equal to or greater than a first threshold, the communication is performed so that information on the category or price range is transmitted to the POS system of the first restaurant. Information processing apparatus for controlling means. The information processing apparatus according to claim 3,
When there is a category or price range in which the ratio of the order rate to the menu composition rate is less than the second threshold value and less than the second threshold value, the control unit first sets information on the category or price range. An information processing apparatus that controls the communication means to transmit to the POS system of the restaurant. An information processing apparatus according to any one of claims 1 to 4,
The control means includes
Based on the POS data for each of a plurality of time zones in one day of the first restaurant and the second restaurant, of the menu of the second restaurant, the first restaurant An information processing apparatus that extracts a category or price range having an order rate higher than a corresponding category or price range for each time period. The information processing apparatus according to claim 5,
Based on the restaurant information and POS data of the first restaurant and the second restaurant, the control means is configured to sell the first restaurant in a predetermined time zone among the plurality of time zones. And when the sales of the second restaurant is determined to be greater than or equal to a predetermined percentage of the daily sales, the communication means is controlled so as to transmit information suggesting a business in the predetermined time zone. Information processing device. Storing the identification information of the plurality of restaurants in association with the restaurant information including at least the category information regarding the category of the menu of foods and drinks that the plurality of restaurants can provide,
Receiving POS data including unit price and order quantity for each menu from the plurality of restaurant POS systems,
Based on the stored restaurant information and the received POS data, a duplication rate equal to or higher than a predetermined threshold for at least the category among the plurality of restaurants with the menu of the first restaurant. Providing another menu having a sales per unit area larger than the sales per unit area of the first restaurant as a second restaurant,
Based on the restaurant information and POS data of the first restaurant and the second restaurant, out of the menu of the second restaurant, the category or price range corresponding to the first restaurant. Extract categories or price ranges with high order rates,
An information processing method for transmitting information on the extracted category or price range to the POS system of the first restaurant. In the information processing device,
Storing the identification information of a plurality of restaurants in association with the restaurant information including at least category information related to a category of a menu of foods and drinks that can be provided by the plurality of restaurants;
Receiving POS data including unit price and order quantity for each menu from the plurality of restaurant POS systems;
Based on the stored restaurant information and the received POS data, a duplication rate equal to or higher than a predetermined threshold for at least the category among the plurality of restaurants with the menu of the first restaurant. Providing another menu having a sales per unit area larger than the sales per unit area of the first restaurant as a second restaurant,
Based on the restaurant information and POS data of the first restaurant and the second restaurant, out of the menu of the second restaurant, the category or price range corresponding to the first restaurant. Extracting a category or price range with a high order rate;
Transmitting the information on the extracted category or price range to the POS system of the first restaurant;