JP2021174425A - Information processor, method and program - Google Patents

Abstract

To provide a technique for optimizing notification of a cancel charge.SOLUTION: A server 20 of a cancel information notification system 1 includes: a cancel information reception module 2033 for receiving input of cancel information from a user having made a reservation, from a facility manager; a claim notification module 2034 for notifying the user related to the cancel information of claim information for requesting payment of a cancel charge; a payment information acquisition module 2035 for acquiring payment information related to payment of the user for the claim information; and a learning module 2036 for performing machine learning on the basis of the claim information and the payment information, and optimizing notification of the claim information of the user.SELECTED DRAWING: Figure 3

Description

The present disclosure relates to information processing devices, methods and programs.

With the development of IT technology, it is possible to make reservations via information processing terminals in business formats such as accommodation facilities, restaurants, and seats in public transportation that are used by making reservations in advance. It has become. In addition to reservations, reservations can be changed or canceled. In such a situation, the number of users who easily cancel and users who do not visit even though they have made a reservation is increasing, which is a problem.

In view of this situation, the Ministry of Economy, Trade and Industry can claim damages in the case of restaurants as a so-called No Show countermeasure report for unauthorized cancellation because the damage caused by unauthorized cancellation is an illegal act. It shows that. It also shows the concept of calculating the cancellation fee.

Here, the cancellation by the user is not necessarily the cancellation without permission, but it is often difficult for other customers to use the cancellation when the cancellation occurs. Therefore, Patent Document 1 discloses a technique of a reservation adjustment system capable of more efficiently adjusting a reservation for a service provision. In this reservation adjustment system, the necessity of reservation adjustment can be determined and the target person for reservation adjustment can be selected, so that it is possible to efficiently adjust the reservation according to the reservation situation.

Japanese Unexamined Patent Publication No. 2019-079211

By the way, in the case of a user who has canceled by a predetermined procedure in advance, it may become inconvenient just before the user and it may be unavoidably canceled. Nevertheless, the facility manager who manages the above facilities needs to compensate for the lost opportunity due to the cancellation, so the cancellation fee will be charged to the user. However, it takes a lot of effort to convince the user and receive the cancellation fee, and in reality, there were a certain number of users who did not pay the cancellation fee. Therefore, it has been desired to optimize the billing of the cancellation fee.

Therefore, in the present disclosure, a technique capable of optimizing the notification of the cancellation fee will be described.

According to one embodiment of the present disclosure, an information processing device including a control unit is provided. The control unit receives the cancellation information reception unit that accepts the input of cancellation information for the reservation of the user who has made a reservation to use the facility, and the request to notify the user of the billing information requesting payment of the cancellation fee related to the cancellation information. A notification unit, a payment information acquisition unit that acquires payment information regarding payment of cancellation fees by the user, and a learning unit that performs machine learning based on the billing information and payment information and optimizes the notification of the billing information to the user. Be prepared.

According to one embodiment, a method for being performed by a computer comprising a processor is provided. The method is a step in which the processor accepts input of cancellation information for the reservation of the user who has made a reservation to use the facility, and a step in notifying the user of billing information requesting payment of the cancellation fee related to the cancellation information. , Acquire payment information regarding payment of cancellation fee by the user, and perform machine learning based on the billing information and payment information to optimize the notification of the billing information to the user.

Further, according to one embodiment, a program for causing a computer having a processor to execute the program is provided. The program has a step of accepting the processor to input cancellation information for the reservation of the user who has made a reservation to use the facility, and a step of notifying the user of billing information requesting payment of the cancellation fee related to the cancellation information. , Acquire payment information regarding payment of cancellation fee by the user, and perform machine learning based on the billing information and payment information to optimize the notification of the billing information to the user.

According to the present disclosure, machine learning is performed based on the cancellation fee billing information related to the cancellation information received from the facility manager who manages the facility and the payment information for the billing, and the notification of the billing information is optimized. Therefore, it is possible to optimize the billing of the cancellation fee. This makes it possible to promote compensation for lost opportunities due to cancellation.

It is a figure which shows the whole structure of the cancellation information notification system 1. It is a block diagram which shows the functional configuration of the terminal apparatus 10 which constitutes the cancellation information notification system 1 of Embodiment 1. FIG. It is a figure which shows the functional configuration of the server 20 which comprises the cancellation information notification system 1 of Embodiment 1. FIG. It is a figure which shows the data structure of the facility database 281 and the cancellation database 282 stored in a server 20. It is a figure which shows the data structure of the billing pattern database 283 stored in the server 20. It is a flowchart which shows an example of the flow which performs the reservation processing which is the premise of the processing by the cancellation information notification system 1 of Embodiment 1. It is a flowchart which shows an example of the flow which performs the cancellation information notification processing by the cancellation information notification system 1 of Embodiment 1. FIG. It is a flowchart which shows an example of the flow which performs the cancellation information learning process by the cancellation information notification system 1 of Embodiment 1. FIG. It is a figure which shows the screen example of the external server 30 in the cancellation information input processing. It is a figure which shows the screen example of the cancellation information list of the external server 30 in which the cancellation information is input. It is a figure which shows the example of the mail text of the terminal apparatus 10 before the cancellation information learning process. It is a figure which shows the example of the mail text of the terminal apparatus 10 after the cancellation information learning process. It is a figure which shows the functional configuration of the server 20 which comprises the cancellation information notification system 1 of Embodiment 2. It is a flowchart which shows an example of the flow which performs the cancellation information notification processing by the cancellation information notification system 1 of Embodiment 2. It is a figure which shows the functional configuration of the server 20 which comprises the cancellation information notification system 1 of Embodiment 3. It is a figure which shows the functional configuration of the server 20 which comprises the cancellation information notification system 1 of Embodiment 4.

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. In the following description, the same parts are designated by the same reference numerals. Their names and functions are the same. Therefore, the detailed description of them will not be repeated.

<Overview>
The optimization of cancellation information notification in the cancellation information notification system will be described below. The cancellation information notification system provides a cancellation information notification system to a user who has made a reservation for a facility such as an accommodation facility, a restaurant, or a seat in public transportation, when the user who made the reservation subsequently requests cancellation. This is a system that notifies cancellation information, that is, a request for payment of a cancellation fee. This cancellation information notification system accepts cancellation information by input from a facility manager such as an accommodation facility or a restaurant, and notifies the user who canceled the cancellation fee payment request.

Facilities such as accommodations, restaurants, and seats on public transportation are often reserved for use in advance. This is because it is necessary to prepare in advance to provide such a service, and the number of people that can be provided at the same time is limited. Therefore, if a cancellation occurs after making a reservation, it is necessary to have the user compensate for the damage and lost opportunity due to the cancellation, so it is a business practice to charge the cancellation fee to the user. When charging a cancellation fee, for example, when a certain timing requirement is satisfied, specifically, when the cancellation is made mainly in the period immediately before the usage date.

However, in the case of accommodation facilities and restaurants, there is a problem that the means for charging the cancellation fee to the user is limited because the user does not come to the store because the user has canceled the store in the first place. be. Even as a user, it is often unconvincing to pay a fixed cancellation fee without using the facility, because it may become inconvenient just before the event and it may be unavoidably canceled. Therefore, when making a reservation, the user's contact information is usually acquired, but there is a problem that even if the contact is notified of the cancellation fee, it is often ignored.

Despite the above problems, users often feel sorry for their cancellations, and sometimes want to use it for other occasions. Therefore, depending on the amount of the cancellation fee, the text of the notification for billing the cancellation fee, the timing, the notification method, etc., the user's willingness to pay the cancellation fee may increase and the collection rate of the cancellation fee may increase. ..

Therefore, this cancellation information notification system optimizes the notification of billing information by performing machine learning based on the billing information when billing the cancellation fee and the payment information for the billing. Specifically, the text, timing, and notification means of the notification for billing the cancellation fee are optimized by machine learning and reflected in the billing information when billing the cancellation fee thereafter.

<First Embodiment>
Hereinafter, the cancellation information notification system 1 will be described. In the following description, for example, when the terminal device 10 accesses the server 20, the server 20 responds with information for generating a screen on the terminal device 10. The terminal device 10 generates and displays a screen based on the information received from the server 20. Further, when the terminal device 10 accesses the external server 30, the external server 30 responds with information for generating a screen on the terminal device 10. The terminal device 10 generates and displays a screen based on the information received from the external server 30.

<1 Overall configuration of cancellation information notification system 1>
FIG. 1 is a diagram showing the overall configuration of the cancellation information notification system 1. The cancellation information notification system provides a cancellation information notification system to a user who has made a reservation for a facility such as an accommodation facility, a restaurant, or a seat in public transportation, when the user who made the reservation subsequently requests cancellation. This is a system for notifying cancellation information, that is, a request for payment of a cancellation fee. As shown in FIG. 1, the cancellation information notification system 1 has a plurality of terminal devices (in FIG. 1, terminal devices 10A and terminal devices 10B are shown. Hereinafter, they may be collectively referred to as "terminal devices 10"). And the server 20 and the external server 30. The terminal device 10, the server 20, and the external server 30 are connected to each other so as to be able to communicate with each other via the network 80. The network 80 is composed of a wired or wireless network.

The terminal device 10 is a device operated by each user. The terminal device 10 is realized by a mobile terminal such as a smartphone or tablet compatible with a mobile communication system. In addition, the terminal device 10 may be, for example, a stationary PC (Personal Computer) or a laptop PC. As shown as the terminal device 10B in FIG. 1, the terminal device 10 includes a communication IF (Interface) 12, an input device 13, an output device 14, a memory 15, a storage unit 16, and a processor 19.

The terminal device 10 is communicably connected to the server 20 and the external server 30 via the network 80. The terminal device 10 has become a wireless base station 81 compatible with communication standards such as 4G, 5G, and LTE (Long Term Evolution), and a wireless LAN (Local Area Network) standard such as IEEE (Institute of Electrical and Electronics Engineers) 802.11. It is connected to the network 80 by communicating with a communication device such as a corresponding wireless LAN router 82.

The communication IF 12 is an interface for inputting / outputting signals because the terminal device 10 communicates with an external device. The input device 13 is an input device (for example, a touch panel, a touch pad, a pointing device such as a mouse, a keyboard, etc.) for receiving an input operation from a user. The output device 14 is an output device (display, speaker, etc.) for presenting information to the user. The memory 15 is for temporarily storing a program, data processed by the program or the like, and is a volatile memory such as a DRAM (Dynamic Random Access Memory). The storage unit 16 is a storage device for storing data, and is, for example, a flash memory, an HDD (Hard Disc Drive), or an SSD (Solid State Drive). The processor 19 is hardware for executing an instruction set described in a program, and is composed of an arithmetic unit, registers, peripheral circuits, and the like.

The server 20 is a device that manages cancellation information, information about a facility or facility manager for inputting cancellation information, and pattern information when notifying the user of the cancellation information. The server 20 transmits the cancellation information to the terminal device 10. Further, the server 20 acquires the payment information related to the cancellation information, and performs machine learning based on the billing information and the payment information for the billing.

The server 20 is a computer connected to the network 80. The server 20 includes a communication IF 22, an input / output IF 23, a memory 25, a storage 26, and a processor 29.

The communication IF 22 is an interface for inputting / outputting signals because the server 20 communicates with an external device. The input / output IF 23 functions as an interface with an input device for receiving an input operation from the user and an output device for presenting information to the user. The memory 25 is for temporarily storing a program, data processed by the program or the like, and is a volatile memory such as a DRAM or the like. The storage 26 is a storage device for storing data, for example, a flash memory, an HDD, or an SSD. The processor 29 is hardware for executing an instruction set described in a program, and is composed of an arithmetic unit, registers, peripheral circuits, and the like.

The external server 30 is a device managed by a facility manager of a facility such as an accommodation facility or a restaurant, and manages reservation information of the facility. The external server 30 acquires, for example, reservation information from a Web page, or acquires reservation information for which an application has been made for a Web page to be outsourced from a consignee, and acquires payment information related to cancellation information.

The external server 30 is a computer connected to the network 80. The external server 30 includes a communication IF 32, an input / output IF 33, a memory 35, a storage 36, and a processor 39.

The communication IF 32 is an interface for inputting / outputting signals because the external server 30 communicates with an external device. The input / output IF 33 functions as an interface with an input device for receiving an input operation from the user and an output device for presenting information to the user. The memory 35 is for temporarily storing a program, data processed by the program or the like, and is a volatile memory such as a DRAM or the like. The storage 36 is a storage device for storing data, for example, a flash memory, an HDD, or an SSD. The processor 39 is hardware for executing an instruction set described in a program, and is composed of an arithmetic unit, registers, peripheral circuits, and the like.

<1.1 Configuration of terminal device 10>
FIG. 2 is a block diagram showing a functional configuration of the terminal device 10 constituting the cancellation information notification system 1 of the first embodiment. As shown in FIG. 2, the terminal device 10 operates with a plurality of antennas (antenna 111, antenna 112) and wireless communication units (first wireless communication unit 121, second wireless communication unit 122) corresponding to each antenna. It includes a reception unit 130 (including a touch-sensitive device 131 and a display 132), a voice processing unit 140, a microphone 141, a speaker 142, a position information sensor 150, a storage unit 160, and a control unit 170. The terminal device 10 also has functions and configurations (for example, a battery for holding electric power, a power supply circuit for controlling the supply of electric power from the battery to each circuit, and the like) which are not particularly shown in FIG. As shown in FIG. 2, each block included in the terminal device 10 is electrically connected by a bus or the like.

The antenna 111 radiates a signal emitted by the terminal device 10 as a radio wave. Further, the antenna 111 receives radio waves from the space and gives a received signal to the first wireless communication unit 121.

The antenna 112 radiates a signal emitted by the terminal device 10 as a radio wave. Further, the antenna 112 receives radio waves from the space and gives a received signal to the second radio communication unit 122.

Since the terminal device 10 communicates with other wireless devices, the first wireless communication unit 121 performs modulation / demodulation processing for transmitting / receiving signals via the antenna 111. Since the terminal device 10 communicates with other wireless devices, the second wireless communication unit 122 performs modulation / demodulation processing for transmitting / receiving signals via the antenna 112. The first wireless communication unit 121 and the second wireless communication unit 122 are communication modules including a tuner, an RSSI (Received Signal Strength Indicator) calculation circuit, a CRC (Cyclic Redundancy Check) calculation circuit, a high frequency circuit, and the like. The first wireless communication unit 121 and the second wireless communication unit 122 perform modulation / demodulation and frequency conversion of the wireless signal transmitted / received by the terminal device 10 and give the received signal to the control unit 170.

The operation receiving unit 130 has a mechanism for receiving a user's input operation. Specifically, the operation reception unit 130 is configured as a touch screen, and includes a touch-sensitive device 131 and a display 132. The operation reception unit 130 may be configured by, for example, a keyboard, a mouse, or the like.

The touch-sensitive device 131 accepts an input operation by the user of the terminal device 10. The touch-sensitive device 131 detects the user's contact position with respect to the touch panel, for example, by using a capacitive touch panel. The touch-sensitive device 131 outputs a signal indicating the contact position of the user detected by the touch panel to the control unit 170 as an input operation.

The display 132 displays data such as an image, a moving image, and a text under the control of the control unit 170. The display 132 is realized by, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro-Luminescence) display.

The voice processing unit 140 performs modulation / demodulation of the voice signal. The voice processing unit 140 modulates the signal given from the microphone 141 and gives the modulated signal to the control unit 170. Further, the voice processing unit 140 gives a voice signal to the speaker 142. The voice processing unit 140 is realized by, for example, a processor for voice processing. The microphone 141 receives the voice input and gives the voice signal corresponding to the voice input to the voice processing unit 140. The speaker 142 converts the voice signal given from the voice processing unit 140 into voice and outputs the voice to the outside of the terminal device 10.

The position information sensor 150 is a sensor that detects the position of the terminal device 10, and is, for example, a GPS (Global Positioning System) module. The GPS module is a receiving device used in a satellite positioning system. The satellite positioning system receives signals from at least three or four satellites and detects the current position of the terminal device 10 on which the GPS module is mounted based on the received signals.

The storage unit 160 is composed of, for example, a flash memory or the like, and stores data and programs used by the terminal device 10. In a certain aspect, the storage unit 160 stores the user information 161.

The user information 161 is information of a user who inputs reservation information using the terminal device 10. The user information includes information for identifying the user (user ID), the user's name, attribute information, and the like.

The control unit 170 controls the operation of the terminal device 10 by reading the program stored in the storage unit 160 and executing the instructions included in the program. The control unit 170 is, for example, an application installed in the terminal device 10 in advance. By operating according to the program, the control unit 170 exhibits functions as an input operation reception unit 171, a transmission / reception unit 172, a data processing unit 173, and a notification control unit 174.

The input operation reception unit 171 performs a process of accepting a user's input operation to an input device such as a touch-sensitive device 131.

The transmission / reception unit 172 performs a process for the terminal device 10 to transmit / receive data to / from an external device such as a server 20 according to a communication protocol.

The data processing unit 173 performs a calculation on the data received by the terminal device 10 according to a program, and outputs the calculation result to a memory or the like.

The notification control unit 174 performs a process of presenting information to the user. The notification control unit 174 performs a process of displaying the display image on the display 132, a process of outputting the sound to the speaker 142, and the like.

<1.2 Functional configuration of server 20>
FIG. 3 is a diagram showing a functional configuration of the server 20 constituting the cancellation information notification system 1 of the first embodiment. As shown in FIG. 3, the server 20 functions as a communication unit 201, a storage unit 202, and a control unit 203.

The communication unit 201 performs a process for the server 20 to communicate with an external device.

The storage unit 202 stores data and programs used by the server 20. The storage unit 202 stores the facility database 281, the cancellation database 282, the billing pattern database 283, the billing notification model database 284, and the like.

The facility database 281 is a database for holding information on facilities such as accommodation facilities and restaurants that notify cancellation information in the cancellation information notification system 1. Details will be described later.

The cancellation database 282 is a database for holding the cancellation information notified to the user by using the cancellation information notification system 1. Details will be described later.

The billing pattern database 283 is a database for holding information on the billing pattern when the cancellation information is notified by using the cancellation information notification system 1. Details will be described later.

The billing notification model database 284 is a database for holding information on the relationship between the user to be notified and the optimal billing pattern for the user when notifying the cancellation information using the cancellation information notification system 1. .. This information is model information generated by machine learning performed by the learning module 2036 described later.

The control unit 203 performs processing according to a program by the processor of the server 20, and as various modules, the reception control module 2031, the transmission control module 2032, the cancellation information reception module (cancellation information reception unit) 2033, and the billing notification module (billing notification unit). ) 2034, the payment information acquisition module (payment information acquisition unit) 2035, and the learning module (learning unit) 2036.

The reception control module 2031 controls a process in which the server 20 receives a signal from an external device according to a communication protocol.

The transmission control module 2032 controls a process in which the server 20 transmits a signal to an external device according to a communication protocol.

The cancellation information reception module 2033 is from a user who has made a reservation to use the facility by the facility manager of the facility that makes a reservation in advance and uses it, such as a seat in an accommodation facility, a restaurant, or a public transportation facility. Controls the process of accepting the input of cancellation information by offer from the external server 30. The cancellation information is information entered on a Web page of a reservation site or the like when a user makes a reservation for the facility, user information registered in advance, or reservation information by means other than the Internet (for example, telephone). Cancellation information includes, for example, information indicating from which reservation site the user made a reservation, reservation number, user's name, contact information, reservation date, cancellation date, scheduled usage date, usage plan, usage fee, cancellation fee, etc. Contains information.

The cancellation information reception module 2033 may accept the input of the cancellation information from the terminal device 10 used by the facility manager.

The billing notification module 2034 sends billing information related to the cancellation information received by the cancellation information receiving module 2033 to the terminal device 10 of the user who requests the user who has requested the cancellation to pay the cancellation fee included in the cancellation information. Control the process of sending and notifying. At this time, the billing notification module 2034 notifies the billing information by the optimal notification text, timing, or notification means based on the user's attribute information, the user's reservation information, and the like. The optimal notification text, timing, or notification means is optimized as a result of machine learning by the learning module 2036 described later, and is determined by referring to the billing notification model database 284. The billing notification module 2034 may send an invoice attached to an e-mail or the like.

For example, the billing notification module 2034 optimizes the text of the billing information and uses the text changed by the optimization when notifying the billing information. Further, the billing notification module 2034 is used when selecting the optimum text from a plurality of text patterns and notifying the billing information. At this time, when the billing notification module 2034 selects the text pattern, the attribute information of the user (age, gender, address, occupation, etc. of the user) and the reservation information of the user (reservation date, scheduled usage date, usage plan, etc.) , Usage fee, etc.), the timing of notification of billing information, the number of notifications of billing information to the user, or a combination of multiple text patterns.

Further, for example, the billing notification module 2034 notifies the billing information at the timing when the notification timing of the billing information is optimized and changed by the optimization. Specifically, the notification timing of billing information is the number of days since the user requested cancellation, the number of notifications, the number of days since the previous notification, the time zone for notification, and the day of the week (weekdays, weekends and holidays, the first half of the week). , The second half of the week, etc.), the time of the month (early, middle, late, etc.), etc.

Further, for example, the billing notification module 2034 notifies the billing information by the notification means in which the billing information notification means is optimized and changed by the optimization. Specifically, the means for notifying billing information is e-mail, SNS, messenger, telephone, or the like.

Furthermore, for example, the billing notification module 2034 optimizes the payment information of the cancellation fee related to the billing, and notifies the billing information with the payment information changed by the optimization. Specifically, the payment information includes payment means (bank transfer, cashless payment by sending a QR code (registered trademark), credit card, etc.), payment deadline, and the like.

The payment information acquisition module 2035 controls a process of acquiring payment information related to the user's payment from the external server 30 with respect to the billing information notified by the billing notification module 2034. The payment information related to the user's payment includes presence / absence information indicating whether or not the user has made a payment, a payment amount, a payment date, a payment method, and the like.

The payment information acquisition module 2035 may acquire payment information for billing information by accessing a server of a financial institution (bank, credit card company, etc.), a payment agent company, or a company that handles cashless payment.

The learning module 2036 performs machine learning based on the billing information notified by the billing notification module 2034 and the payment information acquired by the payment information acquisition module 2035, and performs processing for optimizing the notification of the billing information to the user who has requested cancellation. Control. At this time, the learning module 2036 generates model information that optimizes the text, timing, or notification means of the notification of the billing information based on the attribute information of the user, the reservation information of the user, and the like. This model information is, for example, model information showing the relationship between the user who notifies the billing information and the billing pattern optimal for the user. The learning module 2036 stores in the billing notification model database 284.

For example, the learning module 2036 performs machine learning on the text of the billing information and generates model information for optimizing the text of the billing information. Further, the learning module 2036 generates model information for selecting the optimum text pattern for notifying the user from the texts of the notifications of the plurality of generated billing information.

Further, for example, the learning module 2036 performs machine learning on the notification timing of the billing information and generates model information for optimizing the notification timing of the billing information. Further, for example, the learning module 2036 performs machine learning on the billing information notification means and generates model information for optimizing the billing information notification means. Furthermore, for example, the learning module 2036 performs machine learning on the payment information of the cancellation fee related to the billing, and generates model information for optimizing the payment information of the cancellation fee.

At this time, the learning module 2036 includes the reservation means (which reservation site was used, etc.) for the user to use the facility, the attribute information of the user, and the reservation made by the user, which are included in the billing information. Information on the reservation date and time, information on the cancellation date and time when the reservation was canceled, reservation information of the user (scheduled usage date and time, usage plan, number of users, amount of usage fee, etc.), amount of cancellation fee, or Select a text pattern based on multiple combinations.

<2 data structure>
FIG. 4 is a diagram showing the data structures of the facility database 281 and the cancellation database 282 stored in the server 20. Further, FIG. 5 is a diagram showing a data structure of the billing pattern database 283 stored in the server 20.

As shown in FIG. 4, each of the records in the facility database 281 includes an item "facility ID", an item "facility name", an item "contact information", an item "reservation site", an item "plan", etc. including.

The item "facility ID" is information that identifies each facility such as an accommodation facility or a restaurant that notifies the cancellation information in the cancellation information notification system 1.

The item "facility name" is information indicating the name of the facility that notifies the cancellation information in the cancellation information notification system 1.

The item "contact information" is information indicating the contact information of the facility that notifies the cancellation information in the cancellation information notification system 1.

The item "use reservation site" is information on the reservation site that can be used when making a reservation at the facility that notifies the cancellation information in the cancellation information notification system 1. Specifically, it includes index information for identifying each of the stored reservation site information, the name of the reservation site, and the like.

The item "plan" is information on plans that can be used when using a facility that notifies cancellation information in the cancellation information notification system 1, for example, a plan with breakfast at an accommodation facility, a plan without meals, and a charge at a restaurant. Another course. Specifically, it includes index information for identifying each of the stored plan information, a plan name, and the like.

The server 20 registers the facility in the facility database 281 when the facility using the cancellation information notification system 1 is newly registered, and the facility database changes the registration information such as the plan change of the facility. Update 281.

Each of the records in the cancellation database 282 includes an item "facility ID", an item "cancellation information details", and the like.

The item "facility ID" is information for identifying each facility such as an accommodation facility or a restaurant that notifies the cancellation information in the cancellation information notification system 1, and corresponds to the item "facility ID" in the facility database 281. There is.

The item "cancellation information details" is the cancellation information notified by the facility manager who uses the cancellation information notification system 1 to the user who has made a cancellation request. Specifically, the item "reservation number" , Item "Reservation Site", Item "Name", Item "Address", Item "Contact", Item "Reservation Date", Item "Cancellation Date", Item "Scheduled Use Date", Item Includes "plan", item "number of users", item "usage fee", item "cancellation fee", and the like. As shown in FIG. 4, one or more items "cancellation information details" are stored for one item "facility ID".

The item "reservation number" is information indicating the reservation number when the user makes a reservation for the facility, and is information for identifying each reservation at the facility.

The item "reservation site" is information indicating the reservation site used when the user makes a reservation for the facility, and corresponds to the index information of the item "use reservation site" in the facility database 281.

The item "name" is information indicating the name of the user.

The item "address" is information indicating the address of the user.

The item "contact information" is information indicating the address of the user, and for example, ID information such as a contact telephone number, an e-mail address, and a messenger is stored.

The item "reservation date" is information indicating the reservation date when the user makes a reservation. Although not shown in FIG. 4, time information may be included as information indicating the reservation date and time.

The item "cancellation date" is information indicating the cancellation date when the user cancels the reservation. Although not shown in FIG. 4, time information may be included as information indicating the cancellation date and time.

The item "scheduled use date" is information indicating the date when the user planned to use the facility in the reservation. Although not shown in FIG. 4, information indicating the scheduled usage date and time may include, for example, information on the check-in time and check-out time at the accommodation facility and the entry time at the restaurant.

The item "plan" is information indicating a plan that was planned to be used when the user made a reservation for the facility, and corresponds to the index information of the item "plan" in the facility database 281.

The item "number of users" is information indicating the number of people that the user planned to use when making a reservation for the facility.

The item "usage fee" is information indicating the fee of the plan that the user planned to use when making a reservation for the facility. The usage fee may be variable by discounting or the like according to the time of reservation or the like.

The item "cancellation fee" is information indicating the cancellation fee presented when the cancellation information is notified in the cancellation information notification system 1.

The cancellation information reception module 2033 of the server 20 updates the cancellation database 282 in response to receiving input of cancellation information from the facility manager. The billing notification module 2034 transmits billing information according to the stored contents of the item "cancellation information details" of the cancellation database 282. The learning module 2036 performs machine learning to optimize the notification of billing information based on the stored contents of the item "cancellation information details" of the cancellation database 282, generates model information, and stores it in the billing notification model database 284.

As shown in FIG. 5, each of the records in the billing pattern database 283 includes a "billing pattern ID", an item "billing notification date", an item "notification means", an item "text pattern", and the like.

The item "billing pattern ID" is information that identifies each of the pattern information when the billing notification module 2034 notifies the user of the billing information in the cancellation information notification system 1.

The item "billing notification date" is information indicating the date when the billing information in the billing pattern is notified. For example, the number of days starting from the date when the user requests cancellation or the date when the cancellation information is registered. Information indicating whether to notify later is set for each of the first notification, the second and subsequent notifications, and the like.

The item "notification means" is information indicating the notification means of the billing information in the billing pattern, and is, for example, e-mail, SNS, or messenger.

The item "text pattern" is information indicating a means of notifying billing information in the billing pattern. For example, "A", "B", ... Are stored as index information indicating a plurality of patterns, and each pattern is stored. Information on the text associated with is stored.

The learning module 2036 of the server 20 performs machine learning to optimize the notification of billing information, generates model information, and stores it in the billing notification model database 284. The billing pattern database 283 stores a text pattern for selecting a billing information text pattern by optimization from a plurality of generated billing information text patterns. The billing notification module 2034 selects the item "text pattern" of the billing pattern database 283 based on the attribute information, reservation information, etc. of the user, and transmits the billing information.

<3 operation>
Hereinafter, each process of the cancellation information notification by the cancellation information notification system 1 in the first embodiment will be described with reference to FIGS. 6 to 8.

FIG. 6 is a flowchart showing an example of a flow of performing reservation processing, which is a prerequisite for processing by the cancellation information notification system 1 of the first embodiment.

In step S111, the input operation reception unit 171 of the terminal device 10 accepts the input of the reservation information of a facility such as an accommodation facility or a restaurant from the user to the Web page provided by the external server 30. The transmission / reception unit 172 transmits the reservation information of the received facility to the external server 30. After that, the transmission / reception unit 172 receives the reception confirmation notification transmitted from the server 20 indicating that the reservation information of the facility has been received. The notification control unit 174 causes the display 132 to display the reception confirmation notification transmitted from the external server 30.

In step S121, the external server 30 registers the reservation information received from the terminal device 10. The external server 30 generates a reception confirmation notification for the reservation information received from the terminal device 10 and transmits it to the terminal device 10.

In step S112, the input operation reception unit 171 of the terminal device 10 receives the input of the cancellation information for the facility reservation information from the user to the Web page provided by the external server 30. The transmission / reception unit 172 transmits the canceled information of the received facility to the external server 30. After that, the transmission / reception unit 172 receives a reception confirmation notification transmitted from the server 20 indicating that the facility cancellation information has been received. The notification control unit 174 causes the display 132 to display the reception confirmation notification transmitted from the external server 30.

In step S122, the external server 30 registers the cancellation information received from the terminal device 10. The external server 30 generates a reception confirmation notification for the cancellation information received from the terminal device 10 and transmits it to the terminal device 10.

As described above, the user of the cancellation information notification system 1 inputs the reservation information of the facility via the Web page of the external server 30 managed by the facility manager. In addition, the cancellation information of the facility is input via the Web page of the external server 30. The external server 30 registers this information.

FIG. 7 is a flowchart showing an example of a flow of performing cancellation information notification processing by the cancellation information notification system 1 of the first embodiment.

In step S211 of the external server 30, the external server 30 receives input of cancellation information for the facility reservation information from the facility manager to the Web page provided by the server 20. The external server 30 transmits the canceled information of the received facility to the server 20. The cancellation information may be input from the facility manager from the terminal device 10 used by the facility manager.

In step S221, the cancellation information reception module 2033 of the server 20 receives the cancellation information for the facility reservation information transmitted from the external server 30 via the communication unit 201. The cancellation information reception module 2033 stores the received cancellation information in the cancellation database 282.

In step S222, the billing notification module 2034 of the server 20 requests the user related to the cancellation information received in step S221 to pay the cancellation fee included in the cancellation information, via the communication unit 201. It is transmitted to the terminal device 10 of. At this time, the billing notification module 2034 transmits the billing information related to the cancellation information stored in the "cancellation information details" of the cancellation database 282, but the billing pattern database 283 is based on the attribute information, reservation information, etc. of the user. Select the item "Text pattern" and send.

In step S232, the transmission / reception unit 172 of the terminal device 10 receives the billing information transmitted from the server 20. The notification control unit 174 displays the billing information on the display 132.

In step S223, the billing notification module 2034 of the server 20 updates the status information (not shown) stored in the cancellation database 282, and changes the status of the cancellation information to the notified state.

As described above, when the server 20 of the cancellation information notification system 1 receives the input of the cancellation information from the facility manager, it transmits the billing information requesting payment of the cancellation fee related to the cancellation information to the terminal device 10 of the user. do. Therefore, the billing information can be reliably notified to the user.

FIG. 8 is a flowchart showing an example of a flow of performing cancellation information learning processing by the cancellation information notification system 1 of the first embodiment.

In step S321, the payment information acquisition module 2035 of the server 20 sends a transmission request to the external server 30 for the billing information transmitted in step S222 to transmit payment information regarding the user's payment via the communication unit 201. Send to server 30. The payment information acquisition module 2035 receives the payment information transmitted from the external server 30 via the communication unit 201.

In step S311 the external server 30 transmits the payment information for the transmission request received from the server 20 to the terminal device 10.

In step S322, the learning module 2036 of the server 20 performs machine learning based on the billing information notified in step S222 and the payment information acquired in step S321, and optimizes the notification of the billing information to the user who has requested cancellation. Generate model information. At this time, the learning module 2036 generates model information that optimizes the text, timing, or notification means of the notification of the billing information based on the attribute information of the user, the reservation information of the user, and the like. For example, as a result of machine learning, the learning module 2036 generates model information indicating the relationship between the user who notifies the billing information and the billing pattern optimal for the user, and stores the model information in the billing notification model database 284.

In step S323, the learning module 2036 of the server 20 generates model information for selecting the text pattern of the billing information generated by the optimization from the text patterns of the billing information generated. The learning module 2036 stores the generated text pattern of the billing information in the billing pattern database 283.

In step S324, the learning module 2036 of the server 20 associates and updates the billing pattern database 283 and the billing notification model database 284.

As described above, the cancellation information notification system 1 acquires payment information related to the user's payment for the billing information, performs machine learning based on the billing information and the payment information, and optimizes the notification of the billing information to the user. This makes it possible to promote compensation for lost opportunities due to cancellation.

<4 screen example>
Hereinafter, a screen example of each process of the cancellation information notification by the cancellation information notification system 1 will be described with reference to FIGS. 9 to 12.

FIG. 9 is a diagram showing a screen example of the external server 30 in the cancellation information input processing. The screen example of FIG. 9 shows a screen example in which the facility manager accepts the input of cancellation information by the request from the user who has made a reservation to use the facility to the external server 30. Corresponds to step S211 in FIG.

As shown in FIG. 9, the input / output IF 33 (display) of the external server 30 displays a screen for inputting reservation information for which cancellation has been accepted. On this input screen, as an example, a facility information display field 1031a for displaying the name of the facility, a reservation method input field 1031b for inputting the reservation method (means), and a reservation number for inputting the reservation number issued at the time of reservation are entered. The input field 1031c and the billing destination input field 1031d for inputting information such as the name of the billing destination user are displayed. Since this input screen is a screen for inputting cancellation information, input fields for each item of the item "cancellation information details" of the cancellation database 282 shown in FIG. 4 are provided, but the other input fields are not shown. do. Each item may be configured so that it can be selected by a pull-down display, a radio button, or the like.

When the facility manager inputs the cancellation information in the input field of each item provided on this input screen and performs an operation for registration (for example, pressing the registration button provided on the screen), the facility manager of the server 20 Registration is performed by the cancellation information reception module 2033, and the information is stored in the cancellation database 282.

FIG. 10 is a diagram showing a screen example of a cancellation information list of the external server 30 in which cancellation information is input. The screen example of FIG. 10 shows a screen example in which a list of cancellation information input from the cancellation information input screen shown in FIG. 9 is displayed.

As shown in FIG. 10, the input / output IF 33 (display) of the external server 30 displays a list screen of cancellation information. On this list screen, as an example, a cancellation list display field 1032a, an invoice display instruction button 1032b for displaying an invoice, and a status display field 1032c are displayed. The cancellation list display field 1032a is configured to display each item of the item "cancellation information details" of the cancellation database 282 shown in FIG.

When the facility manager presses the invoice display instruction button 1032b, the facility manager can confirm the invoice related to the invoice information notified to the user. Further, by checking the display content of the status display field 1032c, it is possible to check the status such as whether the billing information has not been notified or has been notified, and how many times the billing information has been notified.

FIG. 11 is a diagram showing an example of an email text of the terminal device 10 before the cancellation information learning process. The example of FIG. 11 is an example of the text of the billing information notified to the user by the billing notification module 2034 of the server 20, and is an example showing the state displayed on the display 132 of the terminal device 10. Corresponds to step S232 in FIG.

As shown in FIG. 11, the display 132 of the terminal device 10 displays the text information 1033a, which is the text of the billing information. The text information 1033a is composed of information such as the item "name" of the cancellation database 282 selected by the billing notification module 2034 from the item "text pattern" of the billing pattern database 283 based on the attribute information, reservation information, etc. of the user. It was done.

FIG. 12 is a diagram showing an example of an email text of the terminal device 10 after the cancellation information learning process. Similar to the example of FIG. 11, the example of FIG. 12 is an example of the text of the billing information notified to the user by the billing notification module 2034 of the server 20, and is an example showing a state displayed on the display 132 of the terminal device 10. Is. Corresponds to step S232 in FIG.

As shown in FIG. 12, the display 132 of the terminal device 10 displays the text information 1034a, which is the text of the billing information. Similar to the example of FIG. 11, the text information 1034a is selected by the billing notification module 2034 from the item "text pattern" of the billing pattern database 283 based on the attribute information, reservation information, etc. of the user, and the item "text pattern" of the cancel database 282 is selected. It is composed of information such as "name".

For example, the billing notification module 2034 selects the item "text pattern" of the billing pattern database 283 based on the user's attribute information, reservation information, and the like. After that, when the learning module 2036 performs machine learning and it is determined that the collection rate of the cancellation fee is higher if the text is selected from the billing patterns of other "text patterns" depending on the user's attribute information, reservation information, etc. The model information of the billing notification model database 284 is updated so that the text is selected from the billing patterns of other "text patterns". Then, when a user with the same attributes or the like cancels, the text information 1034a shown in FIG. 12 is selected from the text information 1033a shown in FIG. By changing the text in this way, the notification of billing information is optimized.

<Summary>
As described above, according to the present embodiment, when the facility manager accepts the input of the cancellation information, the user is notified of the billing information requesting the payment of the cancellation fee related to the cancellation information. Acquire payment information related to user's payment for billing information, perform machine learning based on the billing information and payment information, and optimize the notification of billing information to the user. Therefore, it is possible to optimize the billing of the cancellation fee. This makes it possible to promote compensation for lost opportunities due to cancellation.

In addition, machine learning based on billing information and payment information optimizes the text, timing, notification means, etc. of the notification for billing the cancellation fee. This makes it possible to improve the user's willingness to pay the cancellation fee and increase the collection rate of the cancellation fee.

<Second Embodiment>
Hereinafter, other embodiments of the cancellation information notification system 1 will be described.

<1 Overall configuration of cancellation information notification system 1>
FIG. 13 is a diagram showing a functional configuration of the server 20 constituting the cancellation information notification system 1 of the second embodiment. The overall configuration of the cancellation information notification system 1 and the configuration of the terminal device 10 in the second embodiment are the same as those in the first embodiment, and will not be described repeatedly. Regarding the configuration of the server 20, as shown in FIG. 13, the first function is provided except that the cancellation fee recommendation module (amount notification unit, recommendation unit) 2037 and the amount change reception module (amount change reception unit) 2038 are newly provided. It is the same as the embodiment of. Hereinafter, the functions of the cancellation fee recommendation module 2037 and the amount change reception module 2038 in the second embodiment will be described.

The cancellation fee recommendation module 2037 gives the facility manager the optimum cancellation fee for the cancellation information when the cancellation information reception module 2033 accepts the input of the cancellation information based on the model information generated as a result of machine learning by the learning module 2036. Control the recommended process. In the case of the present embodiment, the learning module 2036 performs machine learning based on the billing information and the payment information, and generates model information that optimizes the amount of the cancellation fee included in the billing information. The cancellation fee recommendation module 2037 recommends the optimum cancellation amount to be charged to the user based on the model information. The recommended cancellation amount may be stored in the billing pattern database 283 in relation to the billing information and the payment information, and the cancellation fee recommendation module 2037 may be configured to refer to this information and make a recommendation.

In addition, the cancellation fee recommendation module 2037 is optimal for the cancellation information when the cancellation information reception module 2033 accepts the input of the cancellation information based on the predetermined rules (rule information) for cancellation at the facility, the so-called cancellation policy. Controls the process of recommending cancellation fees to facility managers. Cancellation fee recommendation module 2037 recommends half of the usage fee as a cancellation fee if, for example, the facility cancels two days before the usage date and half of the usage fee is set as the cancellation fee. ..

The amount change reception module 2038 controls a process of accepting an input for changing the amount of the cancellation fee included in the cancellation information received by the cancellation information reception module 2033 by the input of the facility manager. In order to reflect the amount of the cancellation fee recommended by the cancellation fee recommendation module 2037, the amount change reception module 2038 may accept the amount of the recommended cancellation fee, or may accept the input of an amount other than the recommended amount. In addition, on the input screen for changing the amount of the cancellation fee, the amount of the cancellation fee recommended as the initial value may be displayed in the amount input field, and when changing, the entered amount may be changed. ..

<2 data structure>
Since the data structure in the second embodiment is the same as that in the first embodiment, it will not be described repeatedly.

<3 operation>
Hereinafter, each process of the cancellation information notification by the cancellation information notification system 1 in the second embodiment will be described with reference to FIG.

FIG. 14 is a flowchart showing an example of a flow of performing cancellation information notification processing by the cancellation information notification system 1 of the second embodiment. The cancellation information notification process in the flowchart shown in FIG. 14 is a duplicate process because steps S411 and S421 are added as subsequent processes of steps S211 and S221 of the cancellation information notification process in the flowchart shown in FIG. Will not be explained repeatedly.

In step S421, the cancellation fee recommendation module 2037 of the server 20 transmits the recommendation information for recommending the cancellation fee optimal for the cancellation information received in step S221 to the facility manager to the external server 30 via the communication unit 201. The cancellation fee recommendation module 2037 refers to, for example, the billing pattern database 283 based on the result of machine learning by the learning module 2036, and recommends the optimum cancellation amount for billing the user.

Further, in step S421, the amount change reception module 2038 of the server 20 receives the amount change information for changing the amount of the cancellation fee transmitted from the external server 30 via the communication unit 201. The amount change acceptance module 2038 stores the amount information of the accepted cancellation fee after the change in the cancellation database 282.

In step S411, the external server 30 receives from the facility manager the input of the amount change information for changing the amount of the cancellation fee to the Web page provided by the server 20. The external server 30 transmits the received amount change information to the server 20. The amount change information may be input from the facility manager from the terminal device 10 used by the facility manager.

<Summary>
As described above, according to the present embodiment, machine learning is performed based on billing information and payment information, and based on the result of machine learning, the optimum cancellation fee for cancellation information is recommended to the facility manager. It also accepts input to change the amount of cancellation fee. As a result, the amount of the cancellation fee is optimized, so that the user's willingness to pay the cancellation fee can be further improved, and the rate of collection of the cancellation fee can be increased.

<Third embodiment>
Hereinafter, other embodiments of the cancellation information notification system 1 will be described.

<1 Overall configuration of cancellation information notification system 1>
FIG. 15 is a diagram showing a functional configuration of the server 20 constituting the cancellation information notification system 1 of the third embodiment. The overall configuration of the cancellation information notification system 1 and the configuration of the terminal device 10 in the third embodiment are the same as those in the first embodiment, and will not be described repeatedly. As shown in FIG. 15, the configuration of the server 20 is the same as that of the first embodiment except that the function of the privilege issuing module (privilege issuing unit) 2039 is newly provided. Hereinafter, the function of the privilege issuing module 2039 in the third embodiment will be described.

The privilege issuing module 2039 controls a process of issuing a privilege to a user who has canceled the facility and transmitting the privilege to the terminal device 10 of the user based on the payment information acquired by the payment information acquisition module 2035. The privilege issuing module 2039, for example, issues a certain privilege when the user pays the cancellation fee according to the billing information, and provides the user with preferential treatment. Specifically, the benefits include discount coupons for the facility, coupons that can be used for a predetermined service (one drink service, etc.), points having a certain monetary value, and the like.

Further, in the case of the present embodiment, the billing notification module 2034 may notify when the billing information is notified that the above-mentioned benefits will be issued when the cancellation fee is paid. In this case, the learning module 2036 may generate model information for optimizing the notification of billing information by performing machine learning including the value (discount amount, etc.) and contents of the privilege.

<Summary>
As described above, according to the present embodiment, when the cancellation fee is paid, the privilege is issued and the user is provided with preferential treatment. This makes it possible to promote the next use of the user. In addition, by performing machine learning on the contents of this benefit, it is possible to improve the willingness to pay the cancellation fee.

<Fourth Embodiment>
Hereinafter, other embodiments of the cancellation information notification system 1 will be described.

<1 Overall configuration of cancellation information notification system 1>
FIG. 16 is a diagram showing a functional configuration of the server 20 constituting the cancellation information notification system 1 of the fourth embodiment. The overall configuration of the cancellation information notification system 1 and the configuration of the terminal device 10 in the fourth embodiment are the same as those in the first embodiment, and will not be described repeatedly. As shown in FIG. 16, the configuration of the server 20 is the same as that of the first embodiment except that the user information providing module (user information providing unit) 2040 is newly provided. Hereinafter, the functions of the user information providing module 2040 according to the fourth embodiment will be described.

The user information providing module 2040 transmits the user information to the external server 30 of the facility manager based on the result of machine learning by the learning module 2036, and controls the process of providing the user information to the facility manager. Specifically, the user information provided by the user information providing module 2040 includes the user's attribute information and reservation information, and subsequent behavior prediction, for example, whether to actually use the facility or pay a cancellation fee in case of cancellation. It is information showing the relationship with the prediction information such as. Therefore, the learning module 2036 generates the prediction information as described above by machine learning.

<Summary>
As described above, according to the present embodiment, the user's behavior information based on the result of machine learning is provided to the facility manager. This makes it possible to promote optimization of the service content of the facility by referring to the user's behavior information.

Although the embodiments related to the disclosure have been described above, these can be implemented in various other embodiments, and can be implemented by making various omissions, substitutions, and changes. These embodiments and modifications, as well as those omitted, replaced or modified, are included in the technical scope of the claims and the equivalent scope thereof.

<Additional notes>
The matters described in each of the above embodiments will be added below.

(Appendix 1) An information processing device including a control unit, in which the control unit cancels the cancellation information reception unit that accepts the input of cancellation information for the reservation of the user who has made a reservation to use the facility, and the user. A billing notification unit that notifies billing information requesting payment of a cancellation fee related to information, a payment information acquisition unit that acquires payment information related to payment of a cancellation fee by a user, and machine learning based on the billing information and payment information. An information processing device including a learning unit that optimizes the notification of billing information to the user.

(Appendix 2) The learning unit performs machine learning based on the billing information and payment information, generates model information that optimizes the text of the billing information, and the billing notification unit generates the model information that is changed based on the model information. The information processing device according to (Appendix 1) that notifies the text.

(Appendix 3) The learning unit performs machine learning to generate a plurality of billing information text patterns to generate model information for optimizing the pattern, and the billing notification unit generates a plurality of billing information based on the model information. The information processing device according to (Appendix 2), wherein 1 is selected from the text and the billing information is notified to the user.

(Appendix 4) The billing notification unit is based on any one or more of the user attribute information, the information about the user's reservation, the notification timing of the billing information to the user, and the number of notifications of the billing information to the user from the model information. , The information processing apparatus according to (Appendix 3), wherein 1 is selected from the texts of a plurality of billing information and notified to the user.

(Appendix 5) The learning unit performs machine learning based on billing information and payment information, generates model information that optimizes the notification timing of billing information to the user, and the billing notification unit generates model information based on the model information. The information processing device according to any one of (Appendix 1) to (Appendix 4), which changes the notification timing.

(Appendix 6) The learning unit performs machine learning based on billing information and payment information, generates model information that optimizes the means for notifying the user of billing information, and the billing notification unit generates model information based on the model information. The information processing device according to any one of (Appendix 1) to (Appendix 5), which changes the notification means.

(Appendix 7) The learning unit performs machine learning based on the billing information and the payment information, generates model information for optimizing the payment information of the cancellation fee to the user, and the billing notification unit calculates the cancellation fee based on the model information. The information processing device according to any one of (Appendix 1) to (Appendix 6) that changes payment information.

(Appendix 8) The learning department relates to the reservation method in which the user made a reservation, the attribute information of the user, the date and time information in which the reservation was made, the cancellation date and time information in which the reservation was canceled, the reservation plan, the number of users related to the reservation, and the reservation. The information processing device according to any one of (Appendix 1) to (Appendix 7), which performs machine learning based on any one or more of the usage date and time, the usage fee amount related to the reservation, and the cancellation fee amount.

(Appendix 9) The information described in any of (Appendix 1) to (Appendix 8), in which the learning department performs machine learning based on billing information and payment information and generates model information for optimizing the amount of cancellation fee. Processing equipment.

(Appendix 10) The control unit further includes a recommendation unit that recommends a change in the amount of the cancellation fee to the facility manager who manages the facility based on the model information that optimizes the notification of the billing information (Appendix 9). The information processing device described in.

(Appendix 11) The information processing device according to any one of (Appendix 1) to (Appendix 10), further comprising an amount change reception unit that accepts an input for changing the amount of the cancellation fee.

(Appendix 12) The control unit further comprises a privilege issuing unit that issues privilege information regarding the use of the facility based on the payment information and notifies the user, according to any one of (Appendix 1) to (Appendix 11). Information processing device.

(Appendix 13) From (Appendix 1), the control unit further includes a user information providing unit that provides user information about the user based on the model information that optimizes the notification of billing information to the facility manager who manages the facility. The information processing apparatus according to any one of (Appendix 12).

(Appendix 14) A method for being executed by a computer equipped with a processor, wherein the processor accepts input of cancellation information for a reservation of a user who has made a reservation to use the facility, and to the user. Then, a step of notifying the billing information requesting payment of the cancellation fee related to the cancellation information, a step of acquiring the payment information related to the payment of the cancellation fee by the user, and machine learning based on the billing information and the payment information are performed for the user. Steps to optimize billing information notifications, and how to perform them.

(Appendix 15) A program for causing a computer equipped with a processor to execute the program, which is a step of accepting input of cancellation information for a reservation of a user who has made a reservation to use the facility in the processor, and a step for the user. , The step of notifying the billing information requesting payment of the cancellation fee related to the cancellation information, the step of acquiring the payment information related to the payment of the cancellation fee by the user, and the machine learning based on the billing information and the payment information, and billing the user. A program that executes the steps of optimizing the notification of information.

10 terminal devices, 20 servers, 30 external servers, 80 networks, 130 operation reception units, 161 user information, 22 communication IFs, 23 input / output IFs, 25 memories, 26 storages, 29 processors, 201 communication units, 202 storage units, 281 Facility database, 282 cancellation database, 283 billing pattern database, 284 billing notification model database, 203 control unit, 2033 cancellation information reception module (cancellation information reception unit), 2034 billing notification module (billing notification unit), 2035 payment information acquisition module ( Payment information acquisition department), 2036 learning module (learning department), 2037 cancellation fee recommendation module (recommendation department), 2038 amount change reception module (amount change reception department), 2039 privilege issuing module (privilege issuing department), 2040 user information provision Module (User Information Provider)

Claims (16)

An information processing device equipped with a control unit
The control unit
A cancellation information reception unit that accepts the input of cancellation information for the reservation by the user who has made a reservation to use the facility,
A billing notification unit that notifies the user of billing information requesting payment of the cancellation fee related to the cancellation information.
A payment information acquisition unit that acquires payment information regarding payment of the cancellation fee by the user,
An information processing device including a learning unit that performs machine learning based on the billing information and the payment information and optimizes the notification of the billing information to the user. The learning unit performs machine learning based on the billing information and the payment information, generates model information for optimizing the text of the billing information, and generates model information.
The information processing device according to claim 1, wherein the billing notification unit notifies the changed text of the billing information based on the model information. The learning unit performs the machine learning and generates the model information that selects the most suitable pattern for notifying the user from the plurality of generated text patterns of the billing information.
The information processing device according to claim 2, wherein the billing notification unit selects 1 from a plurality of texts of the billing information based on the model information and notifies the user of the billing information. From the model information, the billing notification unit is any one of the attribute information of the user, the information regarding the reservation of the user, the notification timing of the billing information to the user, and the number of notifications of the billing information to the user. The information processing device according to claim 3, wherein 1 is selected from a plurality of texts of the billing information based on one or more, and the user is notified. The learning unit performs machine learning based on the billing information and the payment information, and generates model information that optimizes the notification timing of the billing information to the user.
The information processing device according to any one of claims 1 to 4, wherein the billing notification unit changes the notification timing of the billing information based on the model information. The learning unit performs machine learning based on the billing information and the payment information, and generates model information that optimizes the means for notifying the user of the billing information.
The information processing device according to any one of claims 1 to 5, wherein the billing notification unit changes the notification means of the billing information based on the model information. The learning unit performs machine learning based on the billing information and the payment information, and generates model information for optimizing the payment information of the cancellation fee to the user.
The information processing device according to any one of claims 1 to 6, wherein the billing notification unit changes payment information of the cancellation fee based on the model information. In the learning unit, the reservation means in which the user made the reservation, the attribute information of the user, the date and time information in which the reservation was made, the cancellation date and time information in which the reservation was canceled, the reservation plan, and the number of users related to the reservation. The present invention according to any one of claims 1 to 7, wherein machine learning is performed based on any one or more of the usage date and time related to the reservation, the usage fee amount related to the reservation, and the cancellation fee amount. Information processing equipment. The control unit further
Any one of claims 1 to 8 provided with an amount notification unit for notifying the facility manager who manages the facility of the amount of the cancellation fee based on predetermined information on the rules for cancellation at the facility. The information processing device described in. The item according to any one of claims 1 to 9, wherein the learning unit performs machine learning based on the billing information and the payment information, and generates the model information for optimizing the amount of the cancellation fee. Information processing device. The control unit further
The information processing apparatus according to claim 10, further comprising a recommendation unit that recommends a change in the amount of the cancellation fee to the facility manager who manages the facility based on the model information for optimizing the amount of the cancellation fee. The control unit further
The information processing device according to any one of claims 1 to 11, further comprising an amount change receiving unit that accepts an input for changing the amount of the cancellation fee. The control unit further
The information processing device according to any one of claims 1 to 12, further comprising a privilege issuing unit that issues privilege information regarding the use of the facility based on the payment information and notifies the user. The control unit further
The information processing device according to any one of claims 1 to 13, further comprising a user information providing unit that provides user information about the user to a facility manager who manages the facility. A method for being executed by a computer with a processor,
In the method, the processor
A step of accepting the input of cancellation information for the reservation of the user who has made a reservation to use the facility, and
A step of notifying the user of billing information requesting payment of a cancellation fee related to the cancellation information, and
A step of acquiring payment information regarding payment of the cancellation fee by the user, and
A method of performing machine learning based on the billing information and the payment information, and performing a step of optimizing the notification of the billing information to the user. A program to be executed by a computer equipped with a processor.
The program is delivered to the processor.
A step of accepting the input of cancellation information for the reservation of the user who has made a reservation to use the facility, and
A step of notifying the user of billing information requesting payment of a cancellation fee related to the cancellation information, and
A step of acquiring payment information regarding payment of the cancellation fee by the user, and
A program that performs machine learning based on the billing information and the payment information, and executes a step of optimizing the notification of the billing information to the user.

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