JP5746554B2 - Information providing system, information providing method, program, and information recording medium - Google Patents

Description

  The present invention relates to an information providing system, an information providing method, a program, and an information recording medium.

  It is common for a store clerk to check and respond to a vacancy situation at a restaurant or other store, but it is difficult for the store clerk to keep track of the vacancy status. The burden is also great. Therefore, for example, as described in Patent Document 1 below, by sequentially updating the number of used seats among the number of seats in the store, the availability of seats and the estimated waiting time are obtained, and inquiries from customers are made. Systems that support automatic voice have been proposed.

JP 05-108673 A

  However, in reality, since the amount of food and drink, the number of people to be seated, the purpose of food and drink, etc. are different for each individual customer and the staying time in the store is generally different, the individual customers are uniformly distributed as in the prior art described above. In the case of predicting the availability of a seat without taking into account the contents of the order, the prediction accuracy was low.

  SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and its purpose is to provide an information providing system capable of sequentially updating and providing information on the availability of seats in a store based on the order results of users in the store, information To provide a providing method, a program, and an information recording medium.

  In order to achieve the above object, an information providing system according to the present invention includes store identification information for identifying a store, product identification information for identifying a product to be ordered to the store, the quantity of products related to the order, Order result information acquiring means for acquiring order record information including user identification information for identifying a user related to the order, order time related to the order, and seat identification information related to the order, and the order record information acquiring means Based on the seat identification information and the order time, the means for storing the acquired order record information in the storage unit, and the target order record information related to the current order among the order record information related to the target store from the storage unit. Past order record information including store identification information and user identification information included in the target order record information is stored in the extraction unit that performs grouping and extraction, and the storage unit. A determination means for determining a possibility of leaving the user related to the target order record information based on a comparison between the determination condition set based on the past order record information and the target order record information; And providing means for providing information based on the determination result by the determination means regarding the target store.

  In one aspect of the present invention, the determination means stores in the storage means other order record information including store identification information and user identification information included in the order record information in addition to the target order record information. If not, the determination condition set based on the past order record information including the user identification information of the other user corresponding to the store identification information and the user and attribute information of the user identification information and the target order record information Based on the comparison, the possibility of leaving the user according to the target order record information is determined.

  In one aspect of the present invention, the determination means stores in the storage means other order record information including store identification information and user identification information included in the order record information in addition to the target order record information. If not, based on a comparison between the determination condition set based on the past order record information including the store identification information and the target order record information, the possibility of the user leaving the target order record information It is characterized by determining.

  Moreover, in one aspect of the present invention, the order performance information includes a settlement amount related to the order, and the determination unit has a total settlement amount related to the target order performance information exceeding a predetermined settlement amount. In this case, it is determined that the user related to the target order record information is likely to leave the target store.

  Moreover, in one aspect of the present invention, the determination unit is configured such that when the total number of calories of the product related to the target order record information exceeds a predetermined calorie, the user related to the target order record information is the target It is determined that there is a high possibility of leaving the store.

  Moreover, in one aspect of the present invention, the determination means includes the target order record information when the elapsed time from the first time included in the current order record information exceeds a first elapsed time. It is determined that the user is likely to leave the target store.

  Moreover, in one aspect of the present invention, the determination means includes the target order record information when the elapsed time from the last time included in the target order record information exceeds a second elapsed time. It is determined that the user is likely to leave the target store.

  Moreover, in one aspect of the present invention, the extraction unit obtains the order record information from the storage unit, wherein the store identification information and the seat identification information are the same, and the order time interval is shorter than a predetermined time interval. It is extracted as target order record information.

  Moreover, in one aspect of the present invention, the providing means provides an estimated leaving time determined in accordance with the possibility of leaving the user related to the target order record information.

  In one aspect of the present invention, when the predetermined order group is ordered by a predetermined combination and order according to the target order record information, the determination unit is configured to allow the user related to the target order record information to It is determined that the possibility of leaving the target store is high.

  In one embodiment of the present invention, the determination condition is at least one of a time zone related to an order, a season, the number of users related to the target order record information, and a gender of users related to the target order record information. It is variable according to the feature.

  In the aspect of the invention, the information providing system may include an estimation unit that estimates the number of users related to the order record information based on the quantity of products included in the order record information extracted by the extraction unit. It is further characterized by including.

  In one aspect of the present invention, the past order record information includes the target order record information, at least a time zone related to the order, a season, the number of users related to the target order record information, and the target order. One of the genders of the users related to the result information is related order result information.

  Further, the information providing method according to the present invention identifies store identification information for identifying a store, product identification information for identifying a product to be ordered to the store, a quantity of the product related to the order, and a user related to the order. Order result information acquisition step for acquiring order result information including user identification information, order time for the order, and seat identification information for the order, and order result information acquired in the order result information acquisition step. A step of storing in the storage means, and extracting from the storage means, the order result information of the target related to the current order among the order result information relating to the target store, grouped based on the seat identification information and the order time And when the past order record information including the store identification information and the user identification information included in the target order record information is stored in the storage unit, A determination step of determining a possibility of leaving the user according to the target order record information based on a comparison between the determination condition set based on the past order record information and the target order record information; And a providing step of providing information based on the determination result of the determination step with respect to the store.

  In addition, the program according to the present invention includes store identification information for identifying a store, product identification information for identifying a product to be ordered to the store, a quantity of the product for the order, and a user for identifying a user for the order Order result information acquisition means for acquiring order result information including identification information, order time for the order, and seat identification information for the order, and order result information acquired by the order result information acquisition means And means for extracting from the storage means, the order result information of the target order related to the current order out of the order result information of the target store, grouped based on the seat identification information and the order time; When the past order record information including the store identification information and the user identification information included in the target order record information is stored in the storage unit, the past order Determination means for determining the possibility of leaving the user related to the target order record information based on a comparison between the determination condition set based on the record information and the target order record information, and the determination regarding the target store A program for causing a computer to function as providing means for providing information based on a determination result by the means.

  Further, the information recording medium according to the present invention identifies store identification information for identifying a store, product identification information for identifying a product to be ordered to the store, the quantity of the product related to the order, and a user related to the order. Order result information acquiring means for acquiring order result information including user identification information, order time relating to the order, and seat identification information relating to the order, and order result information acquired by the order result information acquiring means. Extracting means for storing in the storage means, and extracting from the storage means, the order result information of the target related to the current order out of the order result information relating to the target store based on the seat identification information and the order time And the storage means stores past order record information including store identification information and user identification information included in the target order record information, the past note Based on a comparison between the determination condition set based on the record information and the target order record information, a determination unit that determines the possibility of leaving the user related to the target order record information, and the determination regarding the target store An information recording medium recording a program for causing a computer to function as providing means for providing information based on a determination result by the means.

  According to one aspect of the present invention, information relating to the availability of seats in a store can be sequentially updated based on the order results of users in the store.

It is a system configuration figure of the store information processing system concerning this embodiment. It is a sequence diagram of the order process performed in a shop information processing system. It is a figure which shows an example of a menu screen. It is a figure which shows an example of a menu order screen. It is a figure which shows an example of a payment start mail. It is a figure which shows an example of an electronic money payment start screen. It is a figure which shows an example of a payment completion mail. It is a flowchart of the leaving prediction process performed by a shop information provision server. It is a figure which shows an example of a shop condition display screen. It is a functional block diagram of a portable terminal. It is a functional block diagram of an order receiving server. It is a figure which shows an example of a user information table. It is a figure which shows an example of a menu information table. It is a functional block diagram of a payment server. It is a functional block diagram of a store information provision server. It is a figure which shows an example of an order history table. It is a figure which shows an example of determination conditions. It is a figure which shows an example of determination conditions. It is a figure which shows an example of determination conditions. It is a figure which shows an example of determination conditions.

  DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments according to the present invention (hereinafter referred to as embodiments) will be described with reference to the drawings.

  In FIG. 1, the system block diagram of the shop information processing system 100 which concerns on this embodiment was shown. As illustrated in FIG. 1, the store information processing system 100 includes a mobile terminal 200, an order receiving server 300, a settlement server 400, a store information providing server 500, and a store terminal 600, and includes the mobile terminal 200, the order receiving server 300, and the settlement server 400. The store information providing server 500 and the store terminal 600 are connected to each other via a network 700 so that they can communicate with each other.

  The portable terminal 200 is an information processing terminal having a wireless communication function and a payment function using electronic money or the like. For example, the mobile terminal 200 includes an operation receiving unit such as a touch panel and buttons, executes processing according to an operation received from the user, and displays the processing result on the touch panel. For example, the user accesses the store information providing server 500 through the mobile terminal 200 to check the availability of the store, orders the menu specified from the menu information of the store downloaded from the order receiving server 300, and electronic payment of the ordered menu Is executed between the payment server 400 and the like. Note that the target store in the present embodiment is a restaurant having a table and a seat in the store, and the information regarding the availability of the store is that at least some users who receive food and drink at the store are likely to leave the store. This information is generated based on the determination result of determining whether or not the current state is present.

  The order receiving server 300 is a server that receives order information from the mobile terminal 200 and processes the received order information. For example, when the order receiving server 300 requests the payment server 400 to make an electronic payment for the order information received from the mobile terminal 200 and receives a notification of completion of the electronic payment from the payment server 400, the order receiving server 300 stores the order information in the store terminal 600. Send to. In the store, the menu (product) ordered by the user in the store is provided according to the order information received from the order receiving server 300 by the store terminal 600.

  The settlement server 400 is a server that causes the mobile terminal 200 that has transmitted the order information to execute electronic settlement of the order information received by the order receiving server 300 from the mobile terminal 200, and acquires and manages the execution result. For example, the payment server 400 executes electronic money payment for the order information ordered by the mobile terminal 200, and transmits the payment completion notification for the order information to the order receiving server 300 when the electronic money payment is normally completed. .

  The store information providing server 500 determines whether each user is likely to leave based on the history of order information ordered by each user in the store from the order receiving server 300, and based on the determination result. Providing foresight information regarding the availability of the store.

[Example of order processing sequence in store information processing system 100]
Hereinafter, the flow of order processing in the store information processing system 100 will be described with reference to the sequence diagram shown in FIG. In the sequence example described below, it is assumed that the user has registered in advance in the order receiving server 300 attribute information such as a user ID, an e-mail address, a sex, and a date of birth.

  As shown in FIG. 2, the user logs in by inputting a user ID and a password to the order receiving server 300 using the portable terminal 200 in the store to be used or outside the store (S1), and the store to be used. (S2), and the menu information of the searched store is downloaded (S3). Note that the mobile terminal 200 may download an application for performing order processing to the order receiving server 300 based on the menu information together with the menu information.

  The portable terminal 200 displays a menu screen based on the downloaded menu information (S4). FIG. 3 shows an example of a menu screen displayed on the mobile terminal 200. In the example of the menu screen shown in FIG. 3, the menu name, the amount of the menu, and a link for proceeding to the order of the menu are provided for each menu.

  When the “Proceed to order” link is pressed here, for example, a menu order screen shown in FIG. 4 is displayed. The menu order screen shown in FIG. 4 includes an order quantity, an input field for table identification information (for example, a table number) for identifying the user's table, and an “order execution” link for executing the order.

  After the user is guided to the table in the store, for example, when the user inputs the order quantity and the table identification information of the table on the menu order screen shown in FIG. Order information including the menu, order quantity, table identification information, store ID, and user ID requested by the user is transmitted to the order receiving server 300 (S5).

  When the order information received from the mobile terminal 200 cannot be received (S6: N), the order receiving server 300 transmits an order failure notification to the mobile terminal 200 (S7). When the order information received from the mobile terminal 200 can be received (S6: Y), the order receiving server 300 transmits the settlement information related to the order information and the token of the settlement information to the mobile terminal 200 (S8). ), The portable terminal 200 is redirected to the settlement server 400 (S9). Note that the order receiving server 300 may determine whether or not the accepted order is possible by inquiring of the store terminal 600, and the order receiving server 300 sequentially updates and stores information on menus that can be ordered at each store. In such a case, the determination may be made based on information on the menu that can be ordered.

  Note that the order receiving server 300 may transmit to the settlement server 400 settlement request information including an order ID for identifying the order information, a settlement amount, and a user's email address related to the order information. In this case, the settlement server 400 may transmit a payment start mail including a link for executing electronic payment to the mail address included in the payment request information received from the order receiving server 300.

  FIG. 5 shows an example of the settlement start mail. In the example shown in FIG. 5, the settlement start mail includes order details (menu, order quantity, settlement amount) related to settlement and a link “pay here”. When the “pay here” link is selected, for example, the electronic money settlement start screen shown in FIG. 6 is displayed, and electronic money settlement is executed according to the guidance on the electronic money settlement start screen.

  When the portable terminal 200 communicates with the payment server 400 and executes electronic money payment based on the payment information (S10), the payment server 400 receives a notification of completion of electronic money payment (S11), for example, as shown in FIG. The settlement completion mail shown is transmitted to the mobile terminal 200.

  The settlement server 400 notifies the order receiving server 300 of the information of the order ID for which the electronic money settlement has been completed (S12), and the order receiving server 300 transmits the order information related to the order ID that has received the settlement completion notification to the store terminal 600. (S13). In the store, according to the order information received by the store terminal 600 from the order receiving server 300, food and drink related to the menu ordered by the user is provided.

  The order receiving server 300 transmits the order result information related to the processed order information to the store information providing server 500 (S14). For example, the order record information may include an order ID, user ID, user attribute information, store ID, menu ID, order quantity, payment amount, menu attribute information (for example, calories), order time, table identification information, and the like. . The order receiving server 300 may transmit order result information related to the order information to the store information providing server 500 every time processing of the order information is completed, or at a predetermined timing (for example, at predetermined time intervals). ), The unsent order history information accumulated so far may be transmitted to the store information providing server 500. The store information providing server 500 stores the order record information received from the order receiving server 300 (S15). The above processing (S5 to S15) may be performed every time an order is received from the mobile terminal 200.

  The order processing sequence in the store information processing system 100 is not limited to the above-described example. For example, in the above sequence, the order receiving server 300 issues a token and sends the issued token to the settlement server 400 when the order information received from the mobile terminal 200 can be received (S6: Y). Then, the payment server 400 may transmit the payment information including the token to the mobile terminal 200. In this case, after payment is executed by the mobile terminal 200, the mobile terminal 200 transmits a payment completion notification including a token to the order receiving server 300, and the order receiving server 200 issues a token included in the payment completion notification. The order information that has been settled may be specified by checking the token. In addition, after the payment is executed by the mobile terminal 200, the mobile terminal 200 transmits a payment completion notification including the token to the payment server 400, and the order receiving server 200 receives the token from the payment server 400 and You may make it collate.

[One Example of Leaving Prediction Process by Store Information Providing Server 500]
Next, with reference to the flowchart shown in FIG. 8, the flow of the leaving prediction process performed using the order record information stored in the store information providing server 500 will be described.

  As shown in FIG. 8, the store information providing server 500 selects a store ID to be processed (Si, 1 ≦ i ≦ N, the initial value of i is 1, and N is the total number of stores to be processed). (S21), processing target user ID (Uj, 1 ≦ j ≦ M, initial value of 1 is 1, and M is the total number of processing target users) from the order record information including the selected store ID. Select (S22). Then, the store information providing server 500 extracts the order record information including the selected store ID (Si) and the user ID (Uj) and satisfying the predetermined condition from the stored order record information (S23). . Here, the predetermined condition may be, for example, a condition that the order time is order result information within a predetermined time interval from the current time.

  The store information providing server 500 determines whether or not the user (Uj) is likely to leave the store (Si) based on the extracted order record information and a predetermined determination condition (S24). The determination result is stored in association with the store (Si) and the user (Uj) (S25). The predetermined determination condition is one of store (Si), store (Si) attribute information (store category, etc.), user (Uj), user (Uj) attribute information (age, gender, etc.) or these Selection may be made from among the determination conditions stored in association with the combination.

  Next, the store information providing server 500 increments j of Uj to select the next user (S27) when the user to be processed remains (S26: Y), and returns to S23 for processing. When there is no target user remaining (S26: N), it is determined whether or not a processing target store remains (S28). Here, when the store to be processed remains (S28: Y), i of Si is incremented to select the next store and j of Uj is set to 1 (S29), and the process returns to S23. When there is no store to be processed (S28: N), the store information providing server 500 predicts the leaving of each store based on the determination result stored so far in association with the set of stores and users. Information is generated (S30). Then, the store information providing server 500 provides the generated leaving prediction information to the client device such as the mobile terminal 200 (S31).

  FIG. 9 shows an example of a store status display screen displayed based on the predicted leaving information. In the example shown in FIG. 9, for each store that matches the specified search condition, the number of users determined to be leaving the seat (corresponding to the number of white circles) and the determination that the store is not about to leave are determined. Store status corresponding to the number of users (corresponding to the number of black circles) is displayed. Thereby, the user can grasp how many users are likely to leave in each store. The store status display screen shown in FIG. 9 is an example, and the availability may be displayed in another manner.

  The above is a series of processes performed in the store information processing system 100. Next, an example of functions provided in each device of the store information processing system 100 in order to realize the above-described sequence will be described.

[Function of mobile terminal 200]
In FIG. 10, the functional block diagram of the portable terminal 200 was shown. As shown in FIG. 10, the mobile terminal 200 includes a display unit 202, an input unit 204, a menu information acquisition unit 206, an order information transmission unit 208, a payment information reception unit 210, and an electronic payment unit 212.

  The functions of each unit provided in the portable terminal 200 include a control unit such as a CPU, a storage unit such as a memory, a communication unit such as a communication interface that transmits and receives data to and from an external device, a display unit such as a touch panel, and an input unit. For example, a computer including hardware such as an IC chip may be realized by reading and executing a program stored in a computer-readable information storage medium. The program may be supplied to the mobile terminal 200 by an information storage medium such as an optical disk, a magnetic disk, a magnetic tape, a magneto-optical disk, or a flash memory, or may be supplied to the mobile terminal 200 via a data communication network such as the Internet. It may be supplied.

  The display unit 202 is realized by a touch panel, for example, and displays a screen based on a graphic image. On the display unit 202, for example, the screens shown in FIG. 3, FIG. 4, FIG. 5, FIG. 6, FIG.

  The input unit 204 receives an operation input from the user via, for example, a touch panel or a button.

  For example, the menu information acquisition unit 206 accesses the order receiving server 300 and acquires the menu information of the store designated based on the input from the input unit 204. The menu information acquisition unit 206 may acquire and install an application for executing an order in the order receiving server 300 based on the menu information together with the menu information.

  The order information transmission unit 208 generates order information related to the menu selected from the menu information acquired by the menu information acquisition unit 206 and transmits it to the order receiving server 300. The menu to be ordered may be selected according to a menu screen displayed on the display unit 202 based on the menu information. The order information may include, for example, a user ID related to the order, a menu ID, an order quantity, a store ID, and table identification information for identifying the user's seat.

  The settlement information receiving unit 210 receives settlement information for the order information transmitted by the order information transmitting unit 208 from the settlement server 400. The settlement information is information for starting electronic settlement, and may include, for example, order information related to settlement and a settlement amount. In the present embodiment, the mobile terminal 200 performs electronic payment using electronic money, but may perform other electronic payment such as credit card payment. Further, the payment information receiving unit 210 may receive the payment information from the receiving server 300. The payment information may include a token issued by the order receiving server 300.

  The electronic payment unit 212 executes electronic payment based on the payment information received by the payment information receiving unit 210. When electronic payment is performed using electronic money, the payment amount related to the payment information is subtracted from the balance of the electronic money held in the mobile terminal 200. If it is completed normally and the balance is less than the settlement amount, an error occurs. Then, the execution result of the electronic payment by the electronic payment unit 212 is notified to the payment server 400.

[Function of order receiving server 300]
Next, functions provided in the order receiving server 300 will be described. FIG. 11 shows a functional block diagram of the order receiving server 300. As shown in FIG. 11, the order receiving server 300 includes a user information storage unit 302, a menu information storage unit 304, a menu information providing unit 306, an order information receiving unit 308, a settlement request unit 310, a settlement completion notification receiving unit 312, an order. A processing unit 314 and an order record information providing unit 316 are provided.

  The functions of the above-described units included in the order receiving server 300 are computer-readable by a computer having hardware such as a control unit such as a CPU, a storage unit such as a memory, and a communication unit such as a communication interface for transmitting and receiving data to and from an external device It may be realized by reading and executing a program stored in a simple information storage medium. The program may be supplied to the order receiving server 300 via an information storage medium such as an optical disk, a magnetic disk, a magnetic tape, a magneto-optical disk, or a flash memory, or may be supplied to the order receiving server 300 via a data communication network such as the Internet. It may be supplied.

  The user information storage unit 302 stores user account information. FIG. 12 shows an example of a user information table stored in the user information storage unit 302. In the example of the user information table shown in FIG. 12, the user ID, password, user email address, user date of birth, and user gender are stored in association with each other. Of course, the information stored in the user information table is not limited to the above example.

  The menu information storage unit 304 stores menu information provided at one or a plurality of stores. FIG. 13 shows an example of the menu information table stored in the menu information storage unit 304. In the menu information table shown in FIG. 13, for each store ID for identifying a store, information on each menu provided in the store is stored. The menu information includes a menu ID, menu name, amount, image (URL), calories, and the like, but is not limited thereto.

  The menu information providing unit 306 provides the portable terminal 200 with menu information stored in the menu information storage unit 304 for the store ID requested from the portable terminal 200. The menu information providing unit 306 may provide the mobile terminal 200 with an application for ordering based on the menu information together with the menu information.

  The order information receiving unit 308 receives the order information transmitted from the order information transmitting unit 208 of the mobile terminal 200. For example, the order information includes a user ID, a menu ID, an order quantity, a store ID, and table identification information for identifying a user table, but is not limited thereto.

  The settlement request unit 310 requests the settlement server 400 to settle the order information received by the order information receiving unit 308. For example, the settlement request unit 310 gives an order ID for identifying the order information for each order information received by the order information receiving unit 308 and calculates a settlement amount related to the order information. The payment amount may be calculated by calculating the total amount of the amount associated with the menu ID stored in the menu information storage unit 304 multiplied by the order quantity. Then, the settlement request unit 310 transmits to the settlement server 400 settlement request information including, for example, an order ID, order information, a settlement amount, and a mail address of a user who performs settlement. Note that the mail address stored in the user information storage unit 302 in association with the user ID included in the order information may be used as the mail address.

  The settlement result receiving unit receives the settlement result requested from the settlement server 400 by the settlement request unit 310 from the settlement server 400. The settlement result may include, for example, an order ID and a truth value indicating the settlement result. In addition, it is set to true (T) when the settlement is normally completed, and false (F) when the settlement is not completed normally.

  The order processing unit 314 transmits the order information to the store terminal 600 corresponding to the store ID related to the order information for the order information indicating that the settlement result received by the settlement result receiving unit is normally completed. On the store side, a menu related to the order information is provided to the user according to the order information received at the store terminal 600.

  The order record information providing unit 316 generates order record information for the order information processed by the order processing unit 314, and provides the generated order record information to the store information providing server 500. Order result information includes, for example, order ID, user ID, user attribute information (age, sex, etc.), store ID, menu ID, order quantity, payment amount, menu attribute information (calorie etc.), order time, table identification information, etc. However, it is not limited to this.

[Function of payment server 400]
Next, functions provided in the settlement server 400 will be described. FIG. 14 shows a functional block diagram of the settlement server 400. As shown in FIG. 14, the payment server 400 includes a payment request reception unit 402, a payment information transmission unit 404, a payment completion determination unit 406, and a payment result notification unit 408.

  The functions of each unit provided in the settlement server 400 are computer-readable by a computer equipped with hardware such as a control unit such as a CPU, a storage unit such as a memory, and a communication unit such as a communication interface for transmitting and receiving data to and from an external device. It may be realized by reading and executing a program stored in a simple information storage medium. The program may be supplied to the settlement server 400 by an information storage medium such as an optical disk, a magnetic disk, a magnetic tape, a magneto-optical disk, or a flash memory, or may be supplied to the settlement server 400 via a data communication network such as the Internet. It may be supplied.

  The settlement request receiving unit 402 receives a settlement request from the order receiving server 300. Specifically, the settlement request receiving unit 402 receives the settlement request information transmitted by the settlement request unit 310 of the order receiving server 300. The settlement request information includes, for example, order ID, order information, settlement amount, and e-mail address, but is not limited to this.

  The payment information transmission unit 404 transmits the payment start mail generated based on the payment request information received by the payment request reception unit 402 to the mail address included in the payment request information. The settlement start mail includes, for example, a settlement ID, order contents based on order information, and a settlement amount, but is not limited thereto. The settlement server 400 may store the settlement ID and the corresponding order ID in association with each other.

  The payment completion determination unit 406 determines whether or not electronic payment has been normally performed by the mobile terminal 200 based on the payment start mail transmitted by the payment information transmission unit 404. For example, the payment completion determination unit 406 may determine whether the payment is complete based on the payment ID received from the mobile terminal 200, the electronic money ID used for the electronic payment, and the payment correct / incorrect information.

  The settlement result notifying unit 408 notifies the order receiving server 300 of the determination result by the settlement completion determining unit 406. Specifically, the order ID stored in association with the settlement ID and the settlement result of the settlement ID (eg, true when completed normally, false when an error occurs) are notified to the order receiving server 300. That's good.

[Function of the store information providing server 500]
Next, functions provided in the store information providing server 500 will be described. FIG. 15 shows a functional block diagram of the store information providing server 500. As illustrated in FIG. 15, the store information providing server 500 includes an order record information acquisition unit 502, an order record information storage unit 504, a determination target extraction unit 506, a determination condition storage unit 508, a determination condition setting unit 510, and a person number estimation unit. 512, a determination condition acquisition unit 514, a determination unit 516, a leaving prediction information generation unit 518, and a leaving prediction information providing unit 520.

  The functions of the above-described units included in the store information providing server 500 are as follows. A computer including hardware such as a control unit such as a CPU, a storage unit such as a memory, and a communication unit such as a communication interface that transmits and receives data to and from an external device is a computer It may be realized by reading and executing a program stored in a readable information storage medium. The program may be supplied to the store information providing server 500 by an information storage medium such as an optical disk, a magnetic disk, a magnetic tape, a magneto-optical disk, a flash memory, or the store information via a data communication network such as the Internet. It may be supplied to the providing server 500.

  The order record information acquiring unit 502 acquires order record information provided from the order record information providing unit 316 of the order receiving server 300. The order record information acquisition unit 502 may periodically request the order receipt server 300 to provide the order record information. Order result information includes, for example, order ID, user ID, user attribute information (age, sex, etc.), store ID, menu ID, order quantity, payment amount, menu attribute information (calorie etc.), order time, table identification information, etc. However, it is not limited to this.

  The order record information storage unit 504 stores the order record information sequentially acquired by the order record information acquisition unit 502. FIG. 16 shows an example of an order history table stored in the order record information storage unit 504. In the example of the order history table shown in FIG. 16, order ID, user ID, user age, user gender, store ID, menu ID, order quantity, settlement amount, calories (total calories related to the order), order time, The table identification information is stored, but is not limited to this.

  The determination target extraction unit 506 extracts order result information including a target store ID and a user ID from the order result information storage unit 504 and satisfying a predetermined condition as one group. Here, the target store ID and user ID may be either the store ID or the user ID stored in the order record information storage unit 504, or the order record information newly acquired by the order record information acquisition unit 502. It is good also as store ID and user ID which concern. In addition, the predetermined condition is, for example, that the order time of the order record information is within a first time range (for example, within 6 hours) from the present time, or in addition to at least one order that is before and after The order time may be within the second time range (for example, within 30 minutes). Thereby, order performance information concerning one eating and drinking in the target store of the target user can be extracted as one group.

  The determination condition storage unit 508 is a determination condition stored in association with at least one of the user, user attribute information, store, or store attribute information, and the user selects the store based on the order results of the user. A determination condition for determining whether or not the person is about to leave is stored. Hereinafter, the determination conditions will be described with specific examples.

  FIG. 17A to FIG. 17D show examples of determination conditions stored in the determination condition storage unit 508.

FIG. 17A shows an example of a determination condition (type A) for determining whether or not the user is likely to leave depending on whether or not the total order amount based on the order record information of one group has reached a threshold value. In the example of the determination condition table shown in FIG. 17A, a determination condition ID for identifying a determination condition, a condition search key (user ID, user attribute, store ID, store attribute), and condition parameters (time zone / season, number of people / sex) The determination conditions are stored in association with each other. The determination condition is, for example, S _a > w (Th _a + α) where S _{a is} the sum of the order amounts based on the order record information of one group, the threshold Th _a is an addition or subtraction parameter, and w is a weight. Represent. This indicates that, when S _a > w (Th _a + α) is satisfied, it is determined that the user is about to leave. Α and w may be set based on condition parameters. For example, α is set for each time zone or season, and w is set according to the number of people or gender (for example, w = seats including users) Number and gender factors (1 for men, 0.8 for women, etc.). The condition search key indicates a determination condition for a combination of a user ID, a user attribute, a store ID, and a store attribute in which values are stored among the user ID, the user attribute, the store ID, and the store attribute. That is, the determination condition A001 is a determination condition for the user ID (U001) and the store ID (S001), and the determination condition A002 is a determination condition for the store with the user ID (001) and the category “Izakaya”.

FIG. 17B shows an example of a determination condition (type B) for determining whether or not the user is likely to leave depending on whether the total calorie intake based on the order record information of one group has reached a threshold value. In the example of the determination condition table shown in FIG. 17B, a determination condition ID for identifying a determination condition, a condition search key (user ID, user attribute, store ID, store attribute), and condition parameters (time zone / season, number of people / sex) The determination conditions are stored in association with each other. The determination condition is, for example, S _b > w (Th _b + α) where S _{b is} the sum of calories ingested by order information of one group, threshold Th _b , α is an addition or subtraction parameter, and w is a weight. Represent. This indicates that, when S _b > w (Th _b + α) is satisfied, it is determined that the user is about to leave. Note that α and w may be set based on condition parameters. For example, α is set to a fluctuation amount from a reference for each time zone or season, and w is set according to the number of people (for example, w = user). The number of people attending and including gender factors (1 for men, 0.8 for women), etc. The condition search key indicates a determination condition for a combination of a user ID, a user attribute, a store ID, and a store attribute in which values are stored among the user ID, the user attribute, the store ID, and the store attribute. That is, the determination condition B001 is a determination condition for the user ID (U001) and the store ID (S001), and the determination condition B002 is a determination condition for the store with the user ID (001) and the category “izakaya”.

FIG. 17C shows an example of the determination condition (type C) for determining whether or not the user is likely to leave based on the time interval of the order time in the order record information of one group. In the example of the determination condition table shown in FIG. 17C, a determination condition ID for identifying a determination condition, a condition search key (user ID, user attribute, store ID, store attribute), a condition parameter (time zone), and a determination condition are associated with each other. I remember it. For example, when the first order time in a series of orders is T1, the last order time is TL, and the current time is TP, the determination condition is TP−T1> Th _c1 + α (time zone correction), or TP−TL. > Th _c2 + β (time zone correction). The former condition indicates that the user is likely to leave when the elapsed time from the first order exceeds a threshold (Th _c1 ) + α, and the latter condition is determined from the last order. When the elapsed time exceeds a threshold value (Th _c2 ) + β, it is determined that the user is in a state of being likely to leave.

  FIG. 17D shows an example of the determination condition (type D) for determining whether or not the user is likely to leave based on the order pattern detected from the order record information of one group. For example, the order pattern may be a combination considering the order of the ordered menu. In the example of the determination condition table shown in FIG. 17D, a determination condition ID for identifying a determination condition, a condition search key (user ID, user attribute, store ID, store attribute), a condition parameter (number of people: w), and a determination condition are associated. I remember. When the determination condition is expressed by, for example, alcoholic beverage (quantity X × w or more), dish (quantity Y × w or more), rice (quantity w or more) When the menu is ordered in the above order, it is determined that the user is likely to leave.

  The determination condition setting unit 510 sets the content of the determination condition stored in the determination condition storage unit 508. For example, the determination condition setting unit 510 may set the determination condition based on an input from the user, or may set the determination condition based on a past order record stored in the order record information storage unit 504. It is good. For example, the determination condition setting unit 510 includes a user ID (or a user attribute that is the same as or similar to the user ID) and a store ID (or the store ID) related to the order record information extracted as one group by the determination target extraction unit 506. The determination condition may be set based on the order record information stored in the order record information storage unit 504 for the same or similar store attributes.

  Hereinafter, an example in which the determination condition setting unit 510 sets determination conditions based on past order results will be described. For example, the determination condition setting unit 510 performs an average settlement based on the order record information of each group extracted by the determination target extraction unit 506 for each set of user ID and store ID stored in the order record information storage unit 504. Find the amount and maximum settlement amount, average calorie intake and maximum calorie intake, average stay time and maximum stay time from the first order, average stay time and maximum stay time from the last order, and order pattern, The determination condition may be set based on the obtained values and order patterns. Similarly, the determination condition setting unit 510 selects a target element for setting a determination condition from the user ID, the user attribute, the store ID, and the store attribute, and displays the order record information including the selected element as the order record information. Extraction from the storage unit 504, and determination conditions for the selected element may be set based on the extracted order record information.

  The number of persons estimation unit 512 estimates the number of persons (including users) who are present with the user related to the order record information extracted as one group by the determination target extraction unit 506. For example, the number estimating unit 512 may use the number of seats linked to the table identification information included in the order record information extracted by the determination target extraction unit 506 as the same number of seats, or order record information at one or more times. The order quantity of the same menu (for example, drinks) may be set as the number of attendees. In addition, the number estimating unit 512 estimates the number of past order results information stored in the order result information storage unit 504 for the user ID related to the order result information extracted by the determination target extraction unit 506 (for example, an average value thereof) ) May be used to estimate the number of attendees.

  The determination condition acquisition unit 514 acquires a determination condition (application determination condition) to be applied from the determination condition storage unit 508 based on the order record information extracted as one group by the determination target extraction unit 506. For example, the determination condition acquisition unit 514 sets the determination condition set for the combination of the user ID and the store ID included in the order record information of one group (priority order 1) for at least one of the determination conditions of types A to D. (Priority 2) Determination conditions set for the combination of the user ID and the store attribute of the store ID, (Priority 3) Set for the combination of the user attribute of the user ID and the store ID Judgment conditions, (Priority 4) Judgment conditions set for the combination of the user attribute of the user ID and the store attribute of the shop ID, (Priority 5) Judgment conditions set for the user ID or the user attribute , (Priority 6) Search the determination condition storage unit 508 for the determination condition set in the store ID or the store attribute, Good as possible to obtain what higher priority as an application determination conditions. Moreover, priority may be set for types A to D, and the priority is not limited to the above example. In addition, the determination condition acquisition unit 514 acquires application determination conditions for the order record information of each group extracted by the determination target extraction unit 506.

  Based on whether the order record information extracted as one group by the determination target extraction unit 506 satisfies the application determination condition acquired by the determination condition acquisition unit 514, the determination unit 516 adds the order record information to the order record information. It is determined whether or not such a user is likely to leave the store related to the order record information. Further, the determination unit 516, when there are a plurality of application determination conditions acquired by the determination condition acquisition unit 514 (for example, when each of the determination conditions of types A to D is obtained), the plurality of application determination conditions. If any of the above is satisfied, it may be determined that the user is likely to leave the store, and if all of them are satisfied, the user is likely to leave the store. It may be determined. The determination unit 516 may determine the level of possibility of leaving depending on how many of the plurality of application determination conditions are satisfied. Then, the determination unit 516 may perform the above determination on the order record information of each group extracted by the determination target extraction unit 506.

  Note that the order record information extracted as one group by the determination target extraction unit 506 may be associated with a group ID indicating the group and stored. In addition, the process of extracting the order result information for each group is performed after the extraction of the order result information as the determination target or before the order result information other than the order result information extracted as the determination target by the determination target extraction unit 506. It is good to carry out. For example, the order record information storage unit 504 stores order record information including a store ID (target store ID) and a user ID (target user ID) included in the determination target order record information in addition to the determination target order record information. In the case of being performed, each (or at least one group thereof) obtained by grouping the order record information may be extracted as past order record information. If the order record information including the target store ID and the target user ID is not stored in the order record information storage unit 504 in addition to the order record information to be determined, the user and attribute (for example, age and sex) of the target user ID ) Is searched for order record information including the same or similar similar user ID and target store ID, and each (or at least one group thereof) obtained by grouping the searched order record information is extracted as past order record information. As good as Furthermore, when the order record information including the target store ID and the similar user ID is not searched, each of the order record information including the target store ID (or at least one group thereof) is grouped as past order record information. It may be extracted. Then, the determination condition setting unit 510 may set a determination condition for determining the order result information to be determined based on the extracted past order result information.

  The leaving prediction information generation unit 518 generates leaving prediction information for each store based on the determination result by the determination unit 516 for each order result information extracted as one group by the determination target extraction unit 506. Hereinafter, an example of the leaving prediction information generated for one store (target store) will be described.

  The leaving prediction information generation unit 518 aggregates the determination results by the determination unit 516 for each group of order record information including the store ID of the target store. That is, the number of users who are determined to leave the target store and the number of users who are not determined to leave are respectively tabulated, and exit prediction information is generated based on the number or ratio. For example, the predicted leaving information includes the number of users who are determined to leave in a store, the ratio of tables where users are determined to leave, the number of users who are determined to leave and the number of users who are not determined to leave. The comparison result or the like may be generated as data for display. In addition, in the predicted leaving information, the estimated waiting time is associated in advance with the difference or ratio between the number of users who are determined not to leave and the number of users who are not determined to leave, and the number of users who are determined to be left is likely to be counted for the target store. The predicted waiting time may be determined based on the difference or ratio between the number of users determined to be and the number of users who are not determined to leave, and the determined predicted waiting time may be included in the leaving prediction information.

  The leaving prediction information providing unit 520 provides the leaving prediction information generated for each store. For example, the leaving prediction information providing unit 520 may provide the leaving prediction information generated by the leaving prediction information generating unit 518 for the store designated by the client device, or may be provided on the store leaving prediction information providing page. It is also possible to provide and provide a list of predicted exit information for each store.

  According to the store information processing system 100 according to the present embodiment described above, it is determined whether each user is likely to leave the store using the order information received from the user in the store. Based on the determination result, it is possible to provide information relating to the availability of seats in the store. By using such information, the user can grasp the congestion situation of the store and the approximate waiting time in real time. In addition, a determination condition for determining whether or not the user is likely to leave the store can be set based on past order results.

  The present invention is not limited to the above embodiment. For example, in the above-described embodiment, the mobile terminal 200 acquires store menu information from the order receiving server 300, but the mobile terminal 200 may acquire the store menu information from the store terminal 600, the store information providing server 500, or the like.

  In the above embodiment, the order receiving server 300, the settlement server 400, and the store information providing server 500 are separately configured. However, at least a part of these servers may be integrated, or each server may be integrated. The functions provided in may be further distributed to a plurality of servers.

  In the above embodiment, the user information is stored in the order receiving server 300. However, the user information (name, age, sex, etc.) is stored in the settlement server 400 in association with the electronic money ID. The user information may be specified based on the electronic money ID used at the time of settlement.

  In the above embodiment, the determination conditions of types A to D are shown as an example. However, the determination condition may be configured by combining these multiple types of determination conditions, and is not exemplified in the above embodiment. It is also possible to further add another type of determination condition.

  DESCRIPTION OF SYMBOLS 100 Store information processing system, 200 Portable terminal, 202 Display part, 204 Input part, 206 Menu information acquisition part, 208 Order information transmission part, 210 Settlement information reception part, 212 Electronic payment part, 300 Order receipt server, 302 User information storage part , 304 Menu information storage unit, 306 Menu information providing unit, 308 Order information receiving unit, 310 Settlement request unit, 312 Settlement completion notification receiving unit, 314 Order processing unit, 316 Order result information providing unit, 400 Settlement server, 402 Settlement request Acceptance unit, 404 settlement information transmission unit, 406 settlement completion determination unit, 408 settlement result notification unit, 500 store information providing server, 502 order record information acquisition unit, 504 order record information storage unit, 506 determination target extraction unit, 508 determination condition Storage unit, 510 judgment condition setting unit, 512 number estimation 514 determination condition acquisition unit 516 determination unit 518 leaving prediction information generation unit 520 leaving prediction information providing unit 600 store terminal 700 network.

Claims (11)

Order results including store identification information for identifying a store, product identification information for identifying a product ordered by a user, associated with seat identification information for identifying a seat of the store, and the quantity of the product related to the order Order result information acquisition means for acquiring information;
Means for storing the order result information acquired by the order result information acquisition means in a storage means;
Extraction means for grouping and extracting the target order performance information related to the current order among the order performance information related to the target store, based on the seat identification information, from the storage means;
A determination means for determining the possibility of leaving the user according to whether or not the user has ordered a predetermined combination of products in a predetermined order based on the target order record information;
Providing means for providing information that is updated according to a determination result by the determination means with respect to the target store;
An information providing system comprising: When the past order record information in the target store of the user is stored in the storage unit, the predetermined combination of products and the predetermined order are set based on the past order record information The information providing system according to claim 1, further comprising a setting unit that performs the setting. In the case where the past order record information in the target store of the user is not stored in the storage unit, the setting unit sets the predetermined combination of products based on the past order record information in the target store. The information provision system according to claim 2, wherein the predetermined order is set. The setting means, when the past order record information in the target store of the user is not stored in the storage means, the past order in the target store of another user corresponding to the user and attribute information The information providing system according to claim 3, wherein the predetermined combination of products and the predetermined order are set based on performance information. Order results including store identification information for identifying a store, product identification information for identifying a product ordered by a user, associated with seat identification information for identifying a seat of the store, and the quantity of the product related to the order Order result information acquisition means for acquiring information;
Means for storing the order result information acquired by the order result information acquisition means in a storage means;
Extraction means for grouping and extracting the target order performance information related to the current order among the order performance information related to the target store, based on the seat identification information, from the storage means;
Based on the order quantity of the same product in the order result information extracted by the extraction means, an estimation means for estimating the number of users related to the order result information;
Determining means for determining the possibility of leaving the user according to whether the determination condition for determining the possibility of leaving the user set based on the estimated number of users is satisfied by the target order record information When,
Providing means for providing information that is updated according to a determination result by the determination means with respect to the target store;
An information providing system comprising: The extraction means extracts, from the storage means, order record information having the same store identification information and seat identification information and an order time interval shorter than a predetermined time interval as the target order record information. The information providing system according to any one of claims 1 to 5. The information providing system according to any one of claims 1 to 6, wherein the providing means provides an estimated leaving time that is updated in accordance with a user's possibility of leaving based on the target order record information. Order results including store identification information for identifying a store, product identification information for identifying a product ordered by a user, associated with seat identification information for identifying a seat of the store, and the quantity of the product related to the order Order performance information acquisition step for acquiring information;
Storing the order result information acquired in the order result information acquisition step in a storage means;
An extraction step of grouping and extracting the target order result information related to the current order among the order result information related to the target store from the storage unit, based on the seat identification information;
A determination step of determining the possibility of leaving the user according to whether or not the user has ordered a predetermined combination of products in a predetermined order based on the target order record information;
A providing step of providing information that is updated according to a determination result by the determination unit with respect to the target store;
An information providing method comprising: Order results including store identification information for identifying a store, product identification information for identifying a product ordered by a user, associated with seat identification information for identifying a seat of the store, and the quantity of the product related to the order Order result information acquisition means for acquiring information;
Means for storing the order result information acquired by the order result information acquisition means in a storage means;
Extraction means for grouping and extracting the target order performance information related to the current order among the order performance information related to the target store, based on the seat identification information, from the storage means;
A determination means for determining the possibility of leaving the user according to whether or not the user has ordered a predetermined combination of products in a predetermined order based on the target order record information;
A program for causing a computer to function as providing means for providing information that is updated according to a determination result by the determination means regarding the target store. Order results including store identification information for identifying a store, product identification information for identifying a product ordered by a user, associated with seat identification information for identifying a seat of the store, and the quantity of the product related to the order Order performance information acquisition step for acquiring information;
Storing the order result information acquired in the order result information acquisition step in a storage means;
An extraction step of grouping and extracting the target order result information related to the current order among the order result information related to the target store from the storage unit, based on the seat identification information;
Based on the order quantity of the same product in the order record information extracted by the extraction step, an estimation step for estimating the number of users related to the order record information;
A determination step of determining the possibility of leaving the user according to whether the determination condition for determining the possibility of leaving the user set based on the estimated number of users is satisfied by the target order record information. When,
A providing step for providing information that is updated according to a determination result by the determination step with respect to the target store;
An information providing method comprising: Order results including store identification information for identifying a store, product identification information for identifying a product ordered by a user, associated with seat identification information for identifying a seat of the store, and the quantity of the product related to the order Order result information acquisition means for acquiring information;
Means for storing the order result information acquired by the order result information acquisition means in a storage means;
Extraction means for grouping and extracting the target order performance information related to the current order among the order performance information related to the target store, based on the seat identification information, from the storage means;
Based on the order quantity of the same product in the order result information extracted by the extraction means, an estimation means for estimating the number of users related to the order result information;
Determining means for determining the possibility of leaving the user according to whether the determination condition for determining the possibility of leaving the user set based on the estimated number of users is satisfied by the target order record information When,
A program for causing a computer to function as providing means for providing information that is updated according to a determination result by the determination means regarding the target store.

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