JP7085611B1 - Information processing equipment, information processing methods and information processing programs - Google Patents

Abstract

PROBLEM TO BE SOLVED: To enjoy meals, shopping and the like in a calm atmosphere. An information processing device has a reception unit, a determination unit, and a notification unit. The reception unit receives reservation information from the user including the reservation date of the first candidate facility and the first congestion degree for canceling the reservation. The determination unit determines whether or not the predicted second congestion degree on the reservation date exceeds the first congestion degree by the reservation received from another user by the reservation date. When it is determined that the second congestion degree exceeds the first congestion degree, the notification unit notifies the user of a message regarding the cancellation of the reservation. [Selection diagram] Fig. 1

Description

The present invention relates to an information processing apparatus, an information processing method and an information processing program.

Conventionally, there is known a technique of detecting a state of visit to a facility by a user and a state of use, and providing a predetermined service based on the detection result. As an example of such a technique, there is known a technique of acquiring store vacant seat information via a terminal device installed in a store and providing the user with store vacant seat information satisfying the desired conditions entered by the user. There is.

Japanese Unexamined Patent Publication No. 2016-058091

However, when the store provides vacant seat information and reservations can be made, it is difficult to grasp the congestion status of the store. For this reason, when visiting a reserved store, it is possible to enter the store, but it is fully booked, and it may be difficult to enjoy meals, shopping, etc. in a calm atmosphere.

The present application has been made in view of the above, and an object thereof is to enjoy meals, shopping, etc. in a calm atmosphere.

The information processing apparatus according to the present application has a reception unit that receives reservation information including a reservation date of a first candidate facility from a user and a first congestion degree for canceling a reservation, and a reception unit that receives reservation information from other users by the reservation date. A determination unit for determining whether or not the predicted second congestion degree on the reservation date exceeds the first congestion degree, and the second congestion degree determines the first congestion degree. It is characterized by having a notification unit for notifying the user of a message regarding cancellation of the reservation when it is determined that the number exceeds the limit.

According to one aspect of the embodiment, it is possible to enjoy meals, shopping, etc. in a calm atmosphere.

FIG. 1 is an explanatory diagram showing an outline of an information processing method according to an embodiment. FIG. 2 is a diagram showing an example of the functional configuration of the information processing apparatus according to the embodiment. FIG. 3 is a diagram showing an example of the reservation information DB. FIG. 4 is a diagram showing an example of a congestion degree storage unit. FIG. 5 is a flowchart showing an example of information processing according to the embodiment. FIG. 6 is a flowchart showing an example of information processing according to the first modification. FIG. 7 is a flowchart showing an example of information processing according to the second modification. FIG. 8 is a flowchart showing an example of information processing according to the modified example 3. FIG. 9 is a diagram showing an example of a hardware configuration.

Hereinafter, the information processing apparatus, the information processing method, and the embodiment for implementing the information processing program (hereinafter referred to as “the embodiment”) according to the present application will be described in detail with reference to the drawings. It should be noted that this embodiment does not limit the information processing apparatus, information processing method, and information processing program according to the present application. Further, in the following embodiments, the same parts are designated by the same reference numerals, and duplicate explanations are omitted.

[1. Overview of information processing method]
First, with reference to FIG. 1, an outline of an information processing method performed by the information processing apparatus according to the embodiment will be described. FIG. 1 is an explanatory diagram showing an outline of an information processing method according to an embodiment. As shown in FIG. 1, the information processing system 1 includes a user terminal 10, a store terminal 50, and an information processing device 100. The user terminal 10 and the information processing device 100, and the store terminal 50 and the information processing device 100 are connected to each other so as to be able to communicate with each other by wire or wirelessly via a network (not shown). As the network, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet can be used. The number of user terminals 10 and store terminals 50 is not limited.

The user terminal 10 is a smart device such as a smartphone or tablet used by the user U and other users U1 to Ux, and is an arbitrary server via a wireless communication network such as 4G (Generation) or LTE (Long Term Evolution). It is a portable terminal device that can communicate with the device. The store terminal 50 is a smart device such as a smartphone or tablet used by a person in charge at stores A and B, and can be connected to an arbitrary server device via a wireless communication network such as 4G (Generation) or LTE (Long Term Evolution). It is a mobile terminal device capable of communicating.

The user terminal 10 and the store terminal 50 are screens such as a liquid crystal display and have a screen having a touch panel function, and display data such as contents such as tap operation, slide operation, scroll operation, etc. from the user with a finger, a stylus, or the like. Accepts various operations for. The operation performed on the area of the screen on which the content is displayed may be an operation on the content. Further, the user terminal 10 and the store terminal 50 may be not only a smart device but also an information processing device such as a desktop PC (Personal Computer) or a notebook PC.

The information processing device 100 is an information processing device that manages reservations of stores A and B based on store information registered from each store terminal 50 of stores A and B and reservation information received from each user terminal 10. , Realized by server equipment, cloud system, etc. The information processing apparatus 100 has a reservation information DB (Data Base) that manages reservation information for each store, and a congestion degree storage unit that stores the congestion degree of each reservation date and reservation time zone for each store.

First, the information processing apparatus 100 accepts registration of store information such as the number of seats that can be reserved, the number of tables, holidays, opening hours, and closing times from each store terminal 50 of stores A and B (step S1). Next, the information processing apparatus 100 receives reservation information from the user U, including a reservation date such as from XX on the X month and Y day of the store A, and a first congestion degree which is a threshold for canceling the reservation (step S2). ). When the information processing apparatus 100 receives the reservation information from the user U, the information processing apparatus 100 updates the reservation information DB (step S3).

After that, the information processing apparatus 100 receives reservation information from other users U1 to Ux in the same manner as the user U (step S4). It is assumed that this reservation information includes the reservation of the reservation date reserved by the user U. The information processing apparatus 100 determines whether or not the reservation date of the user U, that is, the predicted second congestion degree at Z o'clock on the X month, Y day, and Z time exceeds the first congestion degree included in the reservation information of the user U. (Step S5). The second degree of congestion is calculated based on, for example, the number of reservations that can be made and the number of reservations. Further, the second degree of congestion may be, for example, a ratio obtained by dividing the number of reserved seats by the total number of seats. Further, the second degree of congestion may be, for example, a ratio obtained by calculating the number of used tables from the number of reserved people and dividing the number of used tables by the total number of tables. Further, the second degree of congestion may be calculated using, for example, a table in which the number of reserved people and the degree of congestion are associated in advance.

When the information processing apparatus 100 determines that the second degree of congestion exceeds the first degree of congestion, the information processing apparatus 100 notifies the user terminal 10 of the user U of a message regarding the cancellation of the reservation (step S6). The message regarding the cancellation of the reservation may be a message indicating that the degree of congestion on the reservation date of the store A exceeds the degree of congestion set by the user U, or may be a message indicating that the reservation has been cancelled. For example, when the degree of congestion on the reservation date exceeds 80%, a message to that effect may be notified, and when it exceeds 85%, the reservation may be canceled in stages. As a result, the user U can enjoy meals, shopping, etc. in a calm atmosphere.

Further, when the information processing apparatus 100 receives the reservation information of the user U including the provisional reservation of the store B on the same date and time as the store A (step S11), the information processing apparatus 100 cancels the reservation of the store A according to the determination of the step S5. The store B may be booked (step S12). In this case, the information processing apparatus 100 notifies the user terminal 10 of the user U of a message indicating that the reservation of the store A is canceled and the store B is being reserved (step S13).

Further, in the information processing apparatus 100, when the second congestion degree currently predicted is equal to or lower than the first congestion degree, the second congestion degree exceeds the first congestion degree based on each day up to the reservation date. You may try to predict whether or not. When the information processing apparatus 100 determines that the second congestion degree exceeds the first congestion degree as a result of the prediction, the information processing apparatus 100 asks the user terminal 10 of the user U whether or not to cancel the reservation of the store A. May be notified. In other words, even if the congestion degree on the reservation date is lower than the congestion degree canceled at the present time, it can be predicted that the number of reservations will increase in the future and the congestion degree on the reservation date will exceed the congestion degree canceled, for example, based on past data. In that case, inquire whether or not to cancel the reservation of store A.

Further, the information processing apparatus 100 may determine whether or not the second congestion degree predicted on the day before the cancellation fee of the store A is generated exceeds the first congestion degree. That is, the user U is notified of the message regarding the cancellation of the reservation immediately before the cancellation fee of the store A is incurred. Further, the information processing apparatus 100 may determine whether or not the second degree of congestion in the time zone before and after the reserved time zone of the reserved date exceeds the first degree of congestion. For example, it is possible to consider a situation in which the store A is crowded at the time of entering the store or the surrounding seats are crowded during the stay.

Further, the information processing apparatus 100 may determine whether or not the second degree of congestion based on the average value and distribution of the staying time for each reservation time zone in the store A exceeds the first degree of congestion. .. That is, it may be determined whether or not the congestion degree on the reservation date exceeds the congestion degree to be canceled based on not only the actual reservation status but also the past data.

Further, the information processing apparatus 100 may determine whether or not to cancel the reservation based on the creditworthiness of the user U when the second congestion degree exceeds the first congestion degree. For example, when the credit rating of the user U is high, the reservation of another user Uy having a credit rating lower than that of the user U may be canceled first. Further, when the credit rating of the user U is high, the evaluation of the user U may not be lowered even if the user U is canceled.

Further, the reservation information may include a threshold value on the side where the degree of congestion is low, that is, a third degree of congestion which is a threshold value for canceling the reservation when the degree of congestion is so low that vacant seats are conspicuous. In this case, the information processing apparatus 100 may notify the user U of a message regarding the cancellation of the reservation when the second degree of congestion is equal to or less than the third degree of congestion. It should be noted that the first congestion degree, which is the threshold value on the congestion side, and the third congestion degree, which is the threshold value on the vacant seat side, can be in a relationship with a predetermined interval. For example, the first degree of congestion can be 80% and the third degree of congestion can be 30%. In this case, if the predicted second congestion degree is more than 30% and 80% or less, the reservation will be continued.

[2. Configuration example of information processing device]
Next, the functional configuration of the information processing apparatus according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram showing an example of the functional configuration of the information processing apparatus according to the embodiment. As shown in FIG. 2, the information processing apparatus 100 includes a communication unit 110, a display unit 111, an operation unit 112, a storage unit 120, and a control unit 130.

The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to the user terminal 10 and the store terminal 50 by wire or wirelessly via a network (not shown).

The display unit 111 is a display device for displaying various information. The display unit 111 is realized by, for example, a liquid crystal display or the like as a display device. The display unit 111 displays various screens such as a display screen input from the control unit 130.

The operation unit 112 is an input device that receives various operations from the administrator of the information processing device 100. The operation unit 112 is realized by, for example, a keyboard, a mouse, or the like as an input device. The operation unit 112 outputs the operation input by the administrator to the control unit 130 as operation information. The operation unit 112 may be realized by a touch panel or the like as an input device, or the display device of the display unit 111 and the input device of the operation unit 112 may be integrated.

The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. As shown in FIG. 2, the storage unit 120 has a reservation information DB 121 and a congestion degree storage unit 122.

The reservation information DB 121 is a database for storing and managing reservation information for each store. FIG. 3 is a diagram showing an example of the reservation information DB. As shown in FIG. 3, the reservation information DB 121 includes items such as "store", "reservation person", "reservation date", "reservation time zone", "congestion degree C", "congestion degree D", and "status". Have.

The "store" is information indicating a store in which the information processing apparatus 100 manages reservations. The "reservation person" is information indicating a user who has made a reservation. The "reserved date" is information indicating the reserved date. The "reserved time zone" is information indicating a reserved time zone. The “congestion degree C” is information indicating a first degree of congestion, which is a threshold value on the congestion side for canceling a reservation set by the user in the reservation. The “congestion degree D” is information indicating a third degree of congestion, which is a threshold value on the vacant seat side for canceling the reservation set by the user in the reservation. The "state" is information indicating whether the reservation is a main reservation or a provisional reservation. Although not shown, the reservation information DB 121 also stores store information such as the number of seats, the number of tables, holidays, opening hours, and closing times.

Returning to the description of FIG. The congestion degree storage unit 122 is a storage unit that stores the congestion degree of each reservation date and reservation time zone for each store. FIG. 4 is a diagram showing an example of a congestion degree storage unit. As shown in FIG. 4, the congestion degree storage unit 122 has items such as “store” and “reservation date / reservation time zone”. Further, the "reservation date / reservation time zone" has an item of a reservation time zone for each reservation date, for example, every hour.

The "store" is information indicating a store in which the information processing apparatus 100 manages reservations. The "reservation date / reservation time zone" is information indicating a second congestion degree, which is a congestion degree based on a reservation in, for example, an hourly reservation time zone for each reservation date. The second degree of congestion may be a value predicted based on past data or the like. In the example of FIG. 4, it can be seen that the second degree of congestion of the store A at 19:00 on December 8 is 70%.

Returning to the description of FIG. The control unit 130 is a controller, and is an information processing device 100 using, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like. It is realized by executing various programs (corresponding to an example of an information processing program) stored in the internal storage device of the ASIC with a storage area such as a RAM as a work area. In the example shown in FIG. 2, the control unit 130 has a reception unit 131, a determination unit 132, and a notification unit 133.

The reception unit 131 receives reservation information from the user U including the reservation date of the store A, which is the first candidate facility, and the first congestion degree, which is the threshold for canceling the reservation. Further, the reception unit 131 receives reservation information from other users U1 to Ux in the same manner as the user U. The reservation information may include not only the reservation of the store A for making the main reservation but also the reservation of the store B which is the second candidate facility for making the provisional reservation. When the reception unit 131 receives the reservation information from the user U or other users U1 to Ux, the reception unit 131 updates the reservation information DB 121. When the reception unit 131 updates the reservation information DB 121, the reception unit 131 outputs a determination instruction to the determination unit 132.

When updating the reservation information DB 121, the reception unit 131 calculates the second congestion degree based on, for example, the number of reservations that can be made and the number of reservations, and updates the congestion degree storage unit 122. Further, the second degree of congestion may be, for example, a ratio obtained by dividing the number of reserved seats by the total number of seats. Further, the second degree of congestion may be, for example, a ratio obtained by calculating the number of used tables from the number of reserved people and dividing the number of used tables by the total number of tables. Further, the second degree of congestion may be calculated using, for example, a table in which the number of reserved people and the degree of congestion are associated in advance.

Further, the reservation information may include a threshold value on the side where the degree of congestion is low, that is, a third degree of congestion which is a threshold value for canceling the reservation when the degree of congestion is so low that vacant seats are conspicuous.

When the determination instruction is input from the reception unit 131, the determination unit 132 refers to the reservation information DB 121 and the congestion degree storage unit 122, and in the reservation of the user U, the second congestion degree of the store A is the first congestion degree. Judge whether or not it exceeds. When the determination unit 132 determines that the second congestion degree exceeds the first congestion degree, the determination unit 132 outputs a notification instruction to the notification unit 133 so as to notify a message regarding the cancellation of the reservation. When the determination unit 132 determines that the second congestion degree is equal to or lower than the first congestion degree, the determination unit 132 does not output a notification instruction to the notification unit 133. The determination unit 132 may determine whether or not the second congestion degree predicted on the day before the cancellation fee of the store A is generated exceeds the first congestion degree.

Further, when the reservation information DB 121 stores the main reservation of the store A and the provisional reservation of the store B, the determination unit 132 refers to the congestion degree storage unit 122 and makes a second reservation of the store A in the reservation of the user U. It is determined whether or not the degree of congestion of the above exceeds the first degree of congestion. When the determination unit 132 determines that the second congestion degree of the store A exceeds the first congestion degree, the determination unit 132 determines whether or not the second congestion degree of the store B exceeds the first congestion degree. When the determination unit 132 determines that the second congestion degree of the store B is equal to or less than the first congestion degree, the determination unit 132 cancels the reservation of the store A of the reservation information DB 121 and changes the store B to the main reservation. The determination unit 132 cancels the reservation of the store A and outputs a notification instruction to the effect that the store B has been fully reserved to the notification unit 133. The number of stores that make tentative reservations is not limited, and two or more stores may be tentatively reserved.

On the other hand, when the determination unit 132 determines that the second congestion degree of the store B exceeds the first congestion degree, the determination unit 132 gives a notification instruction to the notification unit 133 that both the stores A and B exceed the first congestion degree. Output. Further, when the determination unit 132 determines that the second congestion degree of the store A is equal to or lower than the first congestion degree, the determination unit 132 does not output a notification instruction to the notification unit 133.

When the determination unit 132 determines that the second congestion degree is equal to or less than the first congestion degree, whether or not the second congestion degree exceeds the first congestion degree based on each day up to the reservation date. You may try to predict. When the determination unit 132 determines that the second congestion degree exceeds the first congestion degree as a result of the prediction, the determination unit 132 outputs a notification instruction to inquire whether to cancel the reservation of the store A to the notification unit 133. .. When the determination unit 132 determines that the second congestion degree is equal to or less than the first congestion degree as a result of the prediction, the determination unit 132 does not output the notification instruction to the notification unit 133.

Further, the determination unit 132 may determine whether or not the second congestion degree in the time zone before and after the reservation time zone of the reservation date exceeds the first congestion degree. For example, when the reservation time zone is 19:00 and the reservation is for one hour, the determination unit 132 has a second congestion in one or more of the 18:00 and 20:00 units. It is determined whether or not the degree exceeds the first degree of congestion. Further, the determination unit 132 may determine whether or not the second degree of congestion based on the average value and distribution of the staying time for each reservation time zone in the store A exceeds the first degree of congestion. Further, when the second degree of congestion exceeds the first degree of congestion, the determination unit 132 may determine whether or not to cancel the reservation based on the creditworthiness of the user U.

Further, when the determination unit 132 determines that the reservation information includes the third congestion degree and the second congestion degree is equal to or lower than the first congestion degree, the second congestion degree is the third. Determine if it is less than or equal to the degree of congestion. When the determination unit 132 determines that the second degree of congestion is equal to or less than the third degree of congestion, the determination unit 132 outputs a notification instruction to the effect that the degree of congestion is equal to or less than the third degree of congestion to the notification unit 133. When the determination unit 132 determines that the second degree of congestion exceeds the third degree of congestion, the determination unit 132 does not output a notification instruction to the notification unit 133.

When the notification unit 132 inputs the notification instruction, the notification unit 133 notifies the user terminal 10 of the user U of a message regarding the cancellation of the reservation according to the notification instruction. For example, when the notification instruction is the cancellation of the reservation of the store A, the notification unit 133 notifies the user terminal 10 of the user U of the cancellation of the reservation of the store A. Further, for example, when the notification unit 133 is a notification that the notification instruction exceeds the congestion degree, the congestion degree of the reservation date of the store A is set by the user U for the user terminal 10 of the user U. Notify a message that the congestion level has been exceeded.

Further, for example, when the notification instruction is a notification that the reservation of the store A is canceled and the store B is finally reserved, the notification unit 133 cancels the reservation of the store A to the user terminal 10 of the user U. , Notify that the store B has been booked. Further, for example, when the notification unit is a notification that both the stores A and B exceed the first degree of congestion, the notification unit 133 tells the user terminal 10 of the user U that both the stores A and B are the first. Notify a message that the congestion level is exceeded. Further, for example, when the notification unit 133 is a notification to inquire whether or not to cancel the reservation of the store A, whether or not the notification unit 133 cancels the reservation of the store A to the user terminal 10 of the user U. Notify a message asking if. Further, for example, when the notification unit 133 is a notification to the effect that the notification instruction is the third congestion degree or less, the notification unit 133 sends a message to the user terminal 10 of the user U which is the third congestion degree or less at the reservation date and time. Notice.

[3. Processing procedure]
Next, the processing procedure by the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 5 is a flowchart showing an example of information processing according to the embodiment. The processing procedure shown below is repeatedly executed by the control unit 130 of the information processing apparatus 100.

The reception unit 131 receives reservation information from the user U including the reservation date of the store A and the first congestion degree which is the threshold value for canceling the reservation (step S101). When the reception unit 131 receives the reservation information from the user U, the reception unit 131 updates the reservation information DB 121 (step S102).

The reception unit 131 receives the reservation information of the store A from other users U1 to Ux (step S103). When the reception unit 131 receives the reservation information from the other users U1 to Ux, the reception unit 131 updates the reservation information DB 121 (step S104). When the reception unit 131 updates the reservation information DB 121, the reception unit 131 outputs a determination instruction to the determination unit 132. The reception unit 131 also updates the congestion degree storage unit 122 when the reservation information DB 121 is updated.

When the determination instruction is input from the reception unit 131, the determination unit 132 refers to the reservation information DB 121 and the congestion degree storage unit 122, and in the reservation of the user U, the second congestion degree of the store A is the first congestion degree. (Step S105). When the determination unit 132 determines that the second congestion degree exceeds the first congestion degree (step S105: Yes), the determination unit 132 cancels the reservation of the user U's store A in the reservation information DB 121, and cancels the reservation of the store A. Is output to the notification unit 133 so as to notify. When the determination unit 132 determines that the second congestion degree is equal to or lower than the first congestion degree (step S105: No), the determination unit 132 does not output a notification instruction to the notification unit 133 and ends the process.

When the notification unit 132 inputs the notification instruction, the notification unit 133 notifies the user terminal 10 of the user U of the cancellation of the reservation of the store A in response to the notification instruction (step S106), and ends the process. .. In this way, when the degree of congestion is high, the reservation of the store A is canceled, so that the user U can enjoy meals, shopping, and the like in a calm atmosphere.

[4. Modification example 1 processing procedure]
The information processing apparatus 100 described above may be implemented in various different forms other than the above-described embodiment. Therefore, a modified example of the embodiment will be described below. Since the configuration of the information processing apparatus 100 is the same as that of the above embodiment, the description thereof will be omitted. Further, in the processing in each modification, the same step number is assigned to the processing similar to the flowchart shown in FIG. 5, and the description thereof will be omitted. FIG. 6 is a flowchart showing an example of information processing according to the first modification.

The reception unit 131 receives reservation information from the user U including the reservation dates of the stores A and B and the first congestion degree which is the threshold value for canceling the reservation (step S111). Subsequently, the process proceeds to step S102.

Following the process of step S104, the determination unit 132 refers to the congestion degree storage unit 122, and determines whether or not the second congestion degree of the store A exceeds the first congestion degree in the reservation of the user U. (Step S115). When the determination unit 132 determines that the second congestion degree of the store A exceeds the first congestion degree (step S115: Yes), whether or not the second congestion degree of the store B exceeds the first congestion degree. (Step S116).

When the determination unit 132 determines that the second congestion degree of the store B is equal to or less than the first congestion degree (step S116: No), the determination unit 132 cancels the reservation of the store A of the reservation information DB 121 and makes the main reservation of the store B. (Step S117). The determination unit 132 cancels the reservation of the store A and outputs a notification instruction to the effect that the store B has been fully reserved to the notification unit 133. When the notification instruction is input, the notification unit 133 cancels the reservation of the store A, notifies the user terminal 10 of the user U that the reservation of the store B has been made (step S118), and ends the process. do.

On the other hand, when the determination unit 132 determines in step S116 that the second degree of congestion of the store B exceeds the first degree of congestion (step S116: Yes), both the stores A and B determine the first degree of congestion. A notification instruction to the effect of exceeding is output to the notification unit 133. When the notification instruction is input, the notification unit 133 notifies the user terminal 10 of the user U of a message to the effect that both the stores A and B exceed the first congestion degree (step S119), and performs processing. finish.

Further, when the determination unit 132 determines in step S115 that the second congestion degree of the store A is equal to or less than the first congestion degree (step S115: No), the determination unit 132 does not output a notification instruction to the notification unit 133. End the process. In this way, when the degree of congestion of the store A is high, the store A is canceled and the tentatively reserved store B is used as the main reservation, so that the user U can enjoy meals, shopping, etc. in a calm atmosphere. ..

[5. Processing procedure of modification 2]
Next, a case of predicting the degree of congestion on the reserved date based on each of the days up to the reserved date will be described with reference to FIG. 7. FIG. 7 is a flowchart showing an example of information processing according to the second modification.

When the determination unit 132 determines in step S105 following step S104 that the second degree of congestion is equal to or less than the first degree of congestion (step S105: No), the second determination unit 132 is based on each of the days up to the reservation date. Predict the degree of congestion (step S121). The determination unit 132 determines whether or not the second degree of congestion exceeds the first degree of congestion for each of the days up to the reservation date (step S122).

When the determination unit 132 determines that the second congestion degree exceeds the first congestion degree (step S122: Yes), the determination unit 132 sends a notification instruction to the notification unit 133 to inquire whether or not to cancel the reservation of the store A. Output. When the notification instruction is input, the notification unit 133 notifies the user terminal 10 of the user U of a message inquiring whether or not to cancel the reservation of the store A (step S123), and ends the process.

On the other hand, when the determination unit 132 determines that the second congestion degree is equal to or lower than the first congestion degree (step S122: No), the determination unit 132 does not output a notification instruction to the notification unit 133 and ends the process. In this way, since the congestion degree of the reservation date is predicted based on each of the days up to the reservation date, the user U can obtain information regarding the cancellation of the reservation at an earlier stage.

[6. Processing procedure of modification 3]
Next, a case of notifying a message when the degree of congestion is so low that vacant seats are conspicuous on the reservation date will be described with reference to FIG. FIG. 8 is a flowchart showing an example of information processing according to the modified example 3.

The reception unit 131 receives reservation information from the user U including the reservation date of the store A and the first and third congestion degrees, which are thresholds for canceling the reservation (step S131). Subsequently, the process proceeds to step S102.

When the determination unit 132 determines in step S105 following step S104 that the second degree of congestion is equal to or less than the first degree of congestion (step S105: No), the second degree of congestion is equal to or less than the third degree of congestion. (Step S132).

When the determination unit 132 determines that the second degree of congestion is equal to or less than the third degree of congestion (step S132: Yes), the determination unit 132 outputs a notification instruction to the effect that the degree of congestion is equal to or less than the third degree of congestion to the notification unit 133. When the notification instruction is input, the notification unit 133 notifies the user terminal 10 of the user U of a message having a congestion degree equal to or lower than the third on the reservation date (step S133), and ends the process. The notification may be a notification prompting the cancellation of the reservation, or may be a notification of canceling the reservation because it is below the third degree of congestion.

On the other hand, when the determination unit 132 determines that the second congestion degree exceeds the third congestion degree (step S132: No), the determination unit 132 does not output a notification instruction to the notification unit 133 and ends the process. In this way, when the degree of congestion is so low that the vacant seats are conspicuous on the reservation date, the cancellation of the reservation is urged, so that it is possible to avoid the situation where the vacant seats are conspicuous even though it is a popular store.

Further, in the above embodiment, the degree of congestion in consideration of walk-in may be used. For example, if the walk-in is about 20% based on the past data, the congestion degree of the walk-in may be added to the reserved congestion degree to obtain the second congestion degree.

Further, in the above embodiment, the reserved guest and the walk-in may be zoned. By zoning the reserved guest and the walk-in, even if the walk-in side is crowded, the reserved guest side can avoid a state of high congestion.

[7. effect〕
As described above, the information processing apparatus 100 according to the present application includes a reception unit 131, a determination unit 132, and a notification unit 133. The reception unit 131 receives reservation information from the user U including the reservation date of the first candidate facility (store A) and the first congestion degree for canceling the reservation. The determination unit 132 determines whether or not the predicted second congestion degree on the reservation date exceeds the first congestion degree due to the reservation received from the other users U1 to Ux by the reservation date. When it is determined that the second congestion degree exceeds the first congestion degree, the notification unit 133 notifies the user U of a message regarding the cancellation of the reservation. As a result, the user U can enjoy meals, shopping, etc. in a calm atmosphere.

[8. Hardware configuration]
Further, the user terminal 10, the store terminal 50, and the information processing apparatus 100 according to the above-described embodiment are realized by, for example, a computer 1000 having a configuration as shown in FIG. Hereinafter, the information processing apparatus 100 will be described as an example. FIG. 9 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to the output device 1010 and the input device 1020, and the arithmetic device 1030, the primary storage device 1040, the secondary storage device 1050, the output I / F (Interface) 1060, the input I / F 1070, and the network I / F 1080 are bused. It has a form connected by 1090.

The arithmetic unit 1030 operates based on a program stored in the primary storage device 1040 or the secondary storage device 1050, a program read from the input device 1020, or the like, and executes various processes. The arithmetic unit 1030 is realized by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like.

The primary storage device 1040 is a memory device such as a RAM (Random Access Memory) that temporarily stores data used by the arithmetic unit 1030 for various calculations. Further, the secondary storage device 1050 is a storage device in which data used by the calculation device 1030 for various calculations and various databases are registered, and is a ROM (Read Only Memory), an HDD (Hard Disk Drive), and an SSD (Solid). State Drive), flash memory, etc. The secondary storage device 1050 may be an internal storage or an external storage. Further, the secondary storage device 1050 may be a removable storage medium such as a USB memory or an SD (Secure Digital) memory card. Further, the secondary storage device 1050 may be a cloud storage (online storage), NAS (Network Attached Storage), a file server, or the like.

The output I / F 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various information such as a display, a projector, and a printer. For example, USB (Universal Serial Bus) or DVI. (Digital Visual Interface), HDMI (Registered Trademark) (High Definition Multimedia Interface), etc. Further, the input I / F 1070 is an interface for receiving information from various input devices 1020 such as a mouse, a keyboard, a keypad, a button, a scanner, and the like, and is realized by, for example, USB.

Further, the output I / F 1060 and the input I / F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. That is, the output device 1010 and the input device 1020 may be wireless devices.

Further, the output device 1010 and the input device 1020 may be integrated like a touch panel. In this case, the output I / F 1060 and the input I / F 1070 may also be integrated as input / output I / F.

The input device 1020 is, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), or a tape. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like.

The network I / F 1080 receives data from another device via the network N and sends it to the arithmetic unit 1030, and also transmits the data generated by the arithmetic unit 1030 to the other device via the network N.

The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output I / F 1060 and the input I / F 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040, and executes the loaded program.

For example, when the computer 1000 functions as the information processing device 100, the arithmetic unit 1030 of the computer 1000 realizes the function of the control unit 130 by executing the program loaded on the primary storage device 1040. Further, the arithmetic unit 1030 of the computer 1000 may load a program acquired from another device via the network I / F 1080 onto the primary storage device 1040 and execute the loaded program. Further, the arithmetic unit 1030 of the computer 1000 may cooperate with other devices via the network I / F 1080 to call the functions and data of the program from other programs of the other devices and use them.

[9. others〕
Although the embodiments of the present application have been described above, the present invention is not limited to the contents of these embodiments. Further, the above-mentioned components include those that can be easily assumed by those skilled in the art, those that are substantially the same, that is, those in a so-called equal range. Further, the above-mentioned components can be combined as appropriate. Further, various omissions, replacements or changes of the components can be made without departing from the gist of the above-described embodiment.

Further, among the processes described in the above-described embodiment, all or a part of the processes described as being automatically performed can be manually performed, or the processes described as being manually performed can be performed. All or part of it can be done automatically by a known method. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown in the figure.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or part of them may be functionally or physically distributed / physically in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

For example, the above-mentioned information processing apparatus 100 may be realized by a plurality of server computers, or may be realized by calling an external platform or the like by API (Application Programming Interface), network computing, or the like depending on the function. Can be changed flexibly.

Further, the above-described embodiments and modifications can be appropriately combined as long as the processing contents do not conflict with each other.

Further, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the reception unit can be read as a reception means or a reception circuit.

1 Information processing system 10 User terminal 50 Store terminal 100 Information processing device 110 Communication unit 111 Display unit 112 Operation unit 120 Storage unit 121 Reservation information DB
122 Congestion degree storage unit 130 Control unit 131 Reception unit 132 Judgment unit 133 Notification unit

Claims (12)

A reception unit that receives reservation information from the user, including the reservation date of the first candidate facility and the first congestion degree for canceling the reservation.
A determination unit for determining whether or not the predicted second congestion degree on the reservation date exceeds the first congestion degree due to reservations received from other users by the reservation date.
When it is determined that the second degree of congestion exceeds the first degree of congestion, a notification unit for notifying the user of a message regarding cancellation of the reservation, and a notification unit.
An information processing device characterized by having. When it is determined that the second congestion degree exceeds the first congestion degree, the notification unit cancels the reservation and notifies the user of a message to the effect that the reservation has been cancelled.
The information processing apparatus according to claim 1. The reservation information further includes the reservation date of the second candidate facility and the first congestion degree, which are the same dates as the reservation date of the first candidate facility.
When the notification unit determines that the second congestion degree exceeds the first congestion degree, the notification unit cancels the reservation and cancels the reservation of the first candidate facility for the user. Notify a message that the second candidate facility is being reserved,
The information processing apparatus according to claim 1. When the second congestion degree currently predicted is equal to or lower than the first congestion degree, the determination unit determines that the second congestion degree is the first congestion degree based on each day up to the reservation date. Predict whether or not it will exceed
Whether or not the notification unit cancels the reservation of the first candidate facility for the user when it is determined as a result of the prediction that the second congestion degree exceeds the first congestion degree. Notify me of a message asking if
The information processing apparatus according to any one of claims 1 to 3. The determination unit determines whether or not the second congestion degree predicted on the day before the cancellation fee of the first candidate facility is incurred exceeds the first congestion degree.
The information processing apparatus according to any one of claims 1 to 4. The reservation information further includes the reservation time zone of the reservation date.
The determination unit determines whether or not the second degree of congestion in the time zone before and after the reserved time zone exceeds the first degree of congestion.
The information processing apparatus according to any one of claims 1 to 5. The reservation information further includes the reservation time zone of the reservation date.
In the determination unit, the second degree of congestion based on one or more of the average value and distribution of the staying time for each reserved time zone in the first candidate facility exceeds the first degree of congestion. Judge whether or not,
The information processing apparatus according to any one of claims 1 to 6, wherein the information processing apparatus is characterized. When the second congestion degree exceeds the first congestion degree, the determination unit determines whether or not to cancel the reservation based on the creditworthiness of the user.
The information processing apparatus according to any one of claims 1 to 7. The reservation information further includes a third degree of congestion that is lower than the first degree of congestion and cancels the reservation.
The determination unit determines whether or not the second degree of congestion is equal to or less than the third degree of congestion.
When it is determined that the second congestion degree is equal to or less than the third congestion degree, the notification unit notifies the user of a message regarding the cancellation of the reservation.
The information processing apparatus according to any one of claims 1 to 8. The first degree of congestion is 80%.
The third degree of congestion is 30%.
The information processing apparatus according to claim 9. Accepts reservation information from the user, including the reservation date of the first candidate facility and the first congestion degree to cancel the reservation.
Based on the reservations received from other users by the reservation date, it is determined whether or not the predicted second congestion degree on the reservation date exceeds the first congestion degree.
When it is determined that the second degree of congestion exceeds the first degree of congestion, the user is notified of a message regarding the cancellation of the reservation.
An information processing method characterized in that a computer executes processing. Accepts reservation information from the user, including the reservation date of the first candidate facility and the first congestion degree to cancel the reservation.
Based on the reservations received from other users by the reservation date, it is determined whether or not the predicted second congestion degree on the reservation date exceeds the first congestion degree.
When it is determined that the second degree of congestion exceeds the first degree of congestion, the user is notified of a message regarding the cancellation of the reservation.
An information processing program characterized by having a computer execute processing.

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