JP7054659B2 - Information processing equipment, information processing methods and information processing programs - Google Patents

Description

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

Conventionally, a user who intends to use a facility such as an inn, a hotel, or a restaurant can generally make a reservation for the facility via the Internet or a telephone. The facility operator may request an advance payment or cancellation fee from the user who made the reservation as a contract, but in many cases the user cancels without paying the advance payment or cancellation fee, causing damage to the facility operator. May occur.

Therefore, in Patent Document 1, when a user makes a reservation for a facility in the facility use reservation system, an advance payment is collected from the user by a card, and when the reservation is canceled, the advance payment is used as a cancellation fee on the facility operator side. Paying technology has been proposed. In such a facility use reservation system, since the advance payment is collected from the user, it is possible to prevent the occurrence of damage when the reservation is canceled.

Japanese Unexamined Patent Publication No. 2003-196406

However, as a cancellation measure, if the advance payment and cancellation fee are uniformly requested as described above, even a user who does not cancel may hesitate to make a reservation using the above facility use reservation system and refrain from making a reservation. there's a possibility that. For this reason, it is desired for facility operators to take appropriate measures against cancellation while encouraging users to make reservations.

The present application has been made in view of the above, and an object thereof is to provide an information processing device, an information processing method, and an information processing program capable of proposing appropriate measures against cancellation while promoting reservation. do.

The information processing apparatus according to the present application includes an acquisition unit, an estimation unit, and a proposal unit. The acquisition unit acquires behavior information, which is information regarding the behavior of a user who has made a reservation for a facility. The estimation unit estimates the risk that the reservation will be canceled by the user based on the behavior information acquired by the acquisition unit. The proposal unit proposes measures against the cancellation to the operator of the facility based on the risk estimated by the estimation unit.

According to one aspect of the embodiment, it is possible to provide an information processing device, an information processing method, and an information processing program capable of proposing an appropriate countermeasure against cancellation while promoting reservation.

FIG. 1 is an explanatory diagram of information processing according to an embodiment. FIG. 2 is a diagram showing an example of the configuration of the information processing system according to the embodiment. FIG. 3 is a diagram showing an example of the configuration of the information processing apparatus according to the embodiment. FIG. 4 is a diagram showing an example of a user information table according to an embodiment. FIG. 5 is a diagram showing an example of a reservation information table according to an embodiment. FIG. 6 is a diagram showing an example of a compensation-related information table according to an embodiment. FIG. 7 is a diagram showing a process of determining countermeasures by the proposal unit. FIG. 8 is a flowchart showing a procedure of processing executed by the information processing apparatus according to the embodiment. FIG. 9 is a diagram showing an example of a hardware configuration of a computer that executes a program according to an embodiment.

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.

Information processing according to the embodiment will be described with reference to FIG. FIG. 1 is an explanatory diagram of information processing according to an embodiment. FIG. 1 describes information processing that estimates the cancellation risk of a reservation based on the behavior information of the user who made a reservation to the reservation server and proposes countermeasures against the cancellation to the facility operator based on the estimated cancellation risk. do.

First, as shown in FIG. 1, when the user makes a reservation request for requesting a reservation for facility use from the reservation server (step S1), the reservation server receives the reservation request from the user and is based on the reservation request. , Register the reservation related to the reservation request (step S2). Further, the reservation server transmits the reservation information, which is the information regarding the reservation for using the facility, to the information processing apparatus (step S3).

When the information processing apparatus acquires the reservation information from the reservation server, the information processing apparatus acquires the behavior information which is the information about the behavior of the user who made the reservation (step S4). The behavior information is, for example, information including the behavior history of the user at various sites, and the details of the behavior information will be described later. The information processing device may acquire the action information directly from the user's terminal device, or may acquire the action information via the reservation server.

The information processing apparatus performs a risk estimation process for estimating the risk of reservation cancellation by the user (hereinafter referred to as cancellation risk) based on the acquired reservation information and behavior information (step S5). Such risk estimation processing is performed for each reservation (for each user), for example.

For example, the information processing device stores a risk assessment model for estimating the cancellation risk. The information processing apparatus can calculate the cancellation risk score (hereinafter referred to as cancellation score Sc) by the risk assessment model. The cancellation score Sc is an estimated value of cancellation risk.

In the risk assessment model, for example, past reservation information and user behavior information are used as explanatory variables, and the presence or absence of past cancellation is generated as teacher data (objective variable). Reservation information includes, for example, information on the area of the reserved facility, the period of use of the reserved facility, the usage price, the number and size of rooms used, and risk using these information as explanatory variables. An evaluation model can be generated.

In addition, the behavior information includes, for example, information such as the creditworthiness of the user's behavior, the history of the user's payment, and the user's search history, and it is possible to generate a risk assessment model using these information as explanatory variables. can.

Further, in addition to the reservation information and the behavior information, the risk assessment model can be generated by using the feature information which is the information about the feature of the reserved user as an explanatory variable. The reservation information includes the user's identification information, and the information processing apparatus may acquire the action information including the user's attribute and the action history based on the user's identification information. The user information included in the reservation information may include action information including user attributes and action history.

The information processing apparatus determines a countermeasure against the cancellation of the reservation based on the cancellation risk estimated in step S5 (step S6), and is a business operator who provides the facility via the reservation server (hereinafter referred to as a facility business operator). Propose the measures decided to (step S7).

As such measures, for example, there are preventive measures for preventing the occurrence of cancellation and ex post facto measures for suppressing damage in the event of cancellation. As a preventive measure, for example, it is a measure to give preferential treatment to facilities such as issuing coupons and upgrading facilities. Further, as an ex post facto measure, for example, it is a measure to subscribe to a compensation service that compensates when a cancellation occurs. Specifically, the information processing apparatus determines the compensation amount for damages caused in the event of cancellation and the compensation fee according to the compensation amount for the compensation service. These measures are determined by comprehensively evaluating, for example, the cancellation risk and LTV (Life Time Value), and the detailed determination method of such measures will be described later.

The information processing device proposes to the facility operator information on measures including, for example, the contents of the coupon to be issued and the contents of the upgrade of the reserved facility, and the facility operator finally makes a final decision based on the information of the proposal. Determine the content of specific measures. For example, in FIG. 1, the facility operator provides preferential treatment such as coupon issuance to the user (step S8-1). As a result, the user who received preferential treatment such as coupon issuance or upgrade can stop canceling the reservation, that is, the occurrence of cancellation can be suppressed.

In addition, the facility operator applies for subscription to the compensation service based on the compensation amount and compensation fee determined by the information processing device (step S8-2). The facility operator may apply for membership by changing the compensation amount and compensation fee proposed by the information processing device.

When the information processing apparatus receives the application for subscription to the compensation service, the information processing apparatus performs the subscription processing of the facility operator to the compensation service in response to the reservation request in step S1 (step S9). As a result, the facility operator can receive compensation for damages caused by such cancellation when the reservation is canceled by the user after paying the compensation fee.

In this way, the information processing apparatus according to the embodiment can take measures for suppressing the occurrence of cancellation, measures for compensation when cancellation occurs, etc. by proposing measures for cancellation based on the cancellation risk. can.

That is, by proposing measures against cancellation, the information processing apparatus according to the embodiment eliminates the need for the facility operator to request the user for advance payment or cancellation fee as in the past, so that the user may refrain from making a reservation. not. Therefore, according to the information processing apparatus according to the embodiment, it is possible to propose an appropriate measure against cancellation to the facility operator while promoting the reservation.

FIG. 2 is a diagram showing an example of the configuration of the information processing system according to the embodiment. As shown in FIG. 2, the information processing system 100 according to the embodiment includes an information processing device 1, a plurality of terminal devices 2 ₁ to 2 _n (n is an integer of 2 or more), a reservation server 3, and a plurality of facilities. The device 4 ₁ to 4 _m (m is an integer of 2 or more) and the insurer server 5 are provided. The insurer server 5 is an insurer's device.

These information processing devices 1, a plurality of terminal devices 2 ₁ to 2 _n , a reservation server 3, a plurality of facility devices 4 ₁ to 4 _m , and an insurer server 5 can communicate with each other by wire or wirelessly via a network 6. Be connected. The network 6 is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet. The terminal devices 2 ₁ to 2 _n are operated by the users U ₁ to _Un .

In the following, when each of the terminal devices 2 ₁ to 2 _n is shown without distinction, it is described as the terminal device 2. Further, when each of the facility devices 4 ₁ to 4 _m is shown without distinction, it is described as facility device 4, and when each of the users U ₁ to _Un is shown without distinction, it is described as user U.

The terminal device 2 is a terminal device of the user U, and is a smart device (communication terminal) such as a smartphone, a tablet terminal, a PDA (Personal Digital Assistant), or a personal computer. The terminal device 2 can execute various applications such as a browser and a facility reservation application. The terminal device 2 can access the reservation server 3 from an application such as a browser or a facility reservation application via the network 6 to reserve a facility provided by each facility operator.

The facility device 4 is a device of a facility operator, and is provided for each facility operator in the example shown in FIG. The facility operator is a operator that operates facilities such as an inn, a hotel, a pension, a restaurant, a massage shop, a dental clinic, and a beauty salon.

As shown in FIG. 2, the reservation server 3 includes a communication unit 50, a storage unit 51, and a control unit 52. The communication unit 50 is a communication interface for transmitting / receiving information to / from the network 6. The control unit 52 can transmit and receive various information to and from each of the information processing device 1, the terminal device 2, and the facility device 4 via the communication unit 50 and the network 6.

The storage unit 51 stores various information necessary for the facility reservation service. The storage unit 51 is, for example, a semiconductor memory element such as a flash memory, or a storage device such as an HDD (Hard Disk Drive) or an optical disk.

The control unit 52 acquires facility information from the facility device 4 and stores it in the storage unit 51. The facility information of the facility device 4 includes information on facilities that can be reserved. Information on facilities that can be reserved includes, for example, if the facility is an accommodation facility, information such as the number of rooms that can be reserved, the size of each room, the number of people that can be used in each room, and the usage price of each room.

When there is an access from the terminal device 2, the control unit 52 provides the terminal device 2 with information on the facility information screen for making a reservation for the facility. The terminal device 2 displays the information on the facility information screen on a display unit (not shown). The facility information screen includes, for example, information on the above-mentioned reservable facilities. The user U can send a facility reservation application to the reservation server 3 by inputting to an input unit (not shown) while looking at the facility information screen displayed on the display unit.

When the reservation application is made, the control unit 52 transmits the reservation application information to the facility device 4 of the facility that is the target of the reservation application. The facility device 4 determines whether or not the reservation can be made based on the information of the reservation application transmitted from the reservation server 3, and if it is determined that the reservation is possible, the reservation server 3 provides information indicating that the reservation is possible. Send to. When the control unit 52 acquires the information indicating that the reservation is possible from the facility device 4, the control unit 52 transmits the information inquiring whether or not to confirm the reservation to the terminal device 2. As a result, the reservation confirmation button is displayed on the display unit of the terminal device 2.

When the user U of the terminal device 2 operates the reservation confirmation button, the reservation request is transmitted from the terminal device 2 to the reservation server 3. When the control unit 52 receives the reservation request, the control unit 52 transmits information indicating that the reservation request has been made to the facility device 4. When the facility device 4 acquires the information indicating that the reservation request has been made from the reservation server 3, the facility device 4 confirms the reservation.

Further, when the control unit 52 receives the reservation request, the control unit 52 transmits the reservation information to the information processing apparatus 1. The reservation information transmitted to the information processing apparatus 1 includes, for example, a user ID (identifier) of the user U who made the reservation, a reservation ID, a reservation reception date and time, and information on the reservation contents. The reservation content information includes, for example, information such as the period of use, the name of the facility, the area of the facility, the number of people used, the price used, the number of rooms used, and the size of the room used.

Further, when the control unit 52 acquires compensation information from the information processing device 1, the control unit 52 transmits the acquired compensation information to the facility device 4. Further, the control unit 52 transmits the compensation application information to the information processing device 1 when the facility device 4 requests compensation.

Further, when the terminal device 2 cancels the reservation, the control unit 52 sends a cancellation request to the facility device 4, and then obtains the canceled information indicating that the reservation has been canceled, and the information processing device 52. Send the cancellation information to 1.

FIG. 3 is a diagram showing an example of the configuration of the information processing apparatus according to the embodiment. As shown in FIG. 3, the information processing apparatus 1 includes a communication unit 10, a storage unit 11, and a control unit 12 (controller). Hereinafter, the communication unit 10, the storage unit 11, and the control unit 12 will be specifically described.

The communication unit 10 is a communication interface for transmitting / receiving information to / from the network 6. The control unit 12 can transmit and receive various information to and from each of the terminal device 2, the reservation server 3, and the insurer server 5 via the communication unit 10 and the network 6.

The storage unit 11 has a user information DB 20, a reservation information DB 21, and a compensation information DB 22. The storage unit 11 is, for example, a semiconductor memory element such as a flash memory, or a storage device such as an HDD or an optical disk.

The user information DB 20 has a user information table including a plurality of user information which is information of the user U. The user U is a user of a service provided by a business operator that operates and manages the information processing apparatus 1. The service provided by such a business operator is an online service that provides an online service to the user U, for example, a facility reservation service provided by the facility reservation site of the reservation server 3 and an electronic service provided by an electronic commerce site. Includes commercial transaction services, auction services provided on auction sites, video distribution services provided on video distribution sites, news distribution services provided on news sites, and the like.

FIG. 4 is a diagram showing an example of a user information table according to an embodiment. The user information table 41 shown in FIG. 4 is information in which information such as "user ID", "demographic attribute", "psychographic attribute", and "behavior history" are associated with each other.

The "user ID" is the identification information of the user U _, and in the example shown in _FIG . ₄ , "U1", "U2", and "U3" are set as the user IDs of the users U1, U2, and U3. Such a user ID is a user U's account for the above-mentioned online service. The user ID may be any information that identifies the user U, and the identification information of the terminal device 2 used by the user U may be used as the user ID. For example, the user ID may be identification information specified by an HTTP (Hypertext Transfer Protocol) cookie.

The "demographic attribute" is information on the demographic attribute of the user U. Such "demographic attribute" is, for example, information such as "gender" and "age" of the user U. The "gender" is set to "1" when the user U is female, and is set to "2" when the user U is male. Further, the age of the user U is set in the "age". The "demographic attribute" is not limited to the example of the attribute shown in FIG. 4, and may include various attributes such as the occupation, family structure, annual income, address, birthplace, and educational background of the user U.

The "psychographic attribute" is information on the psychological attribute of the user U, for example, information on the user U's values, lifestyle, personality, preference, and the like. In the example shown in FIG. 4, "1" is set for each attribute element when the preference of the user U is relatively high, and "0" is set in other cases. In addition, the "psychographic attribute" is not limited to the example of the attribute shown in FIG. 4, and may include various attributes such as economy, politics, baseball, soccer, other sports, sweets, personal computers, white goods, and furniture. good. The attribute information is not limited to the two stages of 0 and 1, and may be a value of three or more stages.

The "behavior history" is behavior information related to the behavior of the user U, and is, for example, information on the behavior history of the user U at the various sites described above. "Behavior history" is, for example, the history of facility reservations on facility reservation sites, the history of purchasing products or services on e-commerce sites and auction sites, the history of watching videos on video distribution sites, and the news viewed on news sites. History etc. In addition, the "behavior history" includes information such as actions (for example, clicks) for advertisements provided on each site.

The reservation information DB 21 has a reservation information table including a plurality of reservation information which is information regarding the reservation of the facility of the facility operator. FIG. 5 is a diagram showing an example of a reservation information table according to an embodiment. The reservation information table 42 shown in FIG. 5 is information in which information such as “reservation ID”, “user ID”, “reception date / time”, “reservation content”, and “cancellation information” are associated with each other.

The "reservation ID" is unique identification information assigned to each reservation. The "user ID" is unique identification information assigned to each user U. The "reception date and time" is information indicating the date and time when the reservation is received from the user U by the reservation server 3.

The "reservation content" is information indicating the content of the reservation received from the user U by the reservation server 3. The "reservation details" include information such as the period of use, the name of the facility, the number of people used, the area of the facility, the price used, the number of rooms used, and the size of the room used.

The usage period is the period during which the user U uses the facility. The facility name is the name of the facility reserved by the user U. The number of users is the number of people who use the facility. The area of the facility is the area where the facility reserved by the user U is located.

The usage price is the amount paid by the user U to the facility operator when the facility is used according to the reservation contents. For example, when the reserved facility is an accommodation facility and the reservation contents include eating and drinking and massage, the usage price includes the charges such as meal and massage in addition to the accommodation fee. If the reserved facility is a restaurant, the usage price is the price required for eating and drinking in the facility.

The number of rooms used is the number of rooms reserved by the user U. The size of the room to be used is the size of the room reserved by the user U. If the reserved facility is a restaurant, information on the type of place of use (table seats, counter seats, tatami mats, etc.) and the size of the place of use are included instead of the number of rooms used.

The "cancellation information" is information regarding the cancellation of the reservation, and includes information indicating whether or not the reservation has been canceled and information on the cancellation date and time, which is the date and time when the cancellation of the reservation was accepted.

The compensation information DB 22 has a compensation-related information table including a plurality of compensation-related information which is information on compensation services for reservations. FIG. 6 is a diagram showing an example of a compensation-related information table according to an embodiment. The compensation-related information table 43 shown in FIG. 6 is information in which information such as “reservation ID”, “whether or not a compensation service is subscribed”, “cancellation score”, “compensation fee”, and “compensation amount” are associated with each other. be.

The "reservation ID" is unique identification information assigned to each reservation. The "cancellation score" is information on the cancellation score Sc calculated by the control unit 12. In the example shown in FIG. 6, the cancellation score Sc is represented as "Sc1", "Sc2", "Sc3", etc. for convenience, but the cancellation score Sc is a quantified score.

The “LTV” is information regarding the value of the user U as a customer in the facility, that is, the so-called Life Time Value, and is calculated by the control unit 12. In the example shown in FIG. 6, “LTV” is represented as “ltv1”, “ltv2”, “ltv3”, etc. for convenience, but “LTV” is a numerical value such as a profit margin for a facility or an amount of profit. be.

"Presence / absence of subscription to compensation service" is information indicating whether or not the facility operator has subscribed to the compensation service for the reservation. In the example shown in FIG. 6, the facility operator subscribes to the compensation service for the reservation of the reservation ID “C1” and the reservation of the reservation ID “C3”, respectively, and the facility business for the reservation of the reservation ID “C2”. Indicates that the person does not subscribe to the compensation service. "Compensation fee" is information on the compensation fee of the compensation service. The "compensation amount" is information on the compensation amount of the compensation service.

The control unit 12 includes, for example, a microcomputer having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), an input / output port, and various circuits.

As shown in FIG. 3, the control unit 12 includes an acquisition unit 30, a generation unit 31, an estimation unit 32, a proposal unit 33, a reception unit 34, a proposal unit 33, and a compensation processing unit 35. The functions of the acquisition unit 30, the generation unit 31, the estimation unit 32, the proposal unit 33, the reception unit 34, the proposal unit 33, and the compensation processing unit 35 are, for example, such that the CPU of the control unit 12 has the RAM and ROM of the control unit 12. Alternatively, it is realized by reading and executing the program stored in the storage unit 11.

A part or all of the acquisition unit 30, the generation unit 31, the estimation unit 32, the proposal unit 33, the reception unit 34, and the compensation processing unit 35 are ASICs (Application Specific Integrated Circuits), FPGAs (Field Programmable Gate Arrays), and the like. It may be configured with the hardware of.

The control unit 12 can operate in the compensation mode set from the first compensation mode and the second compensation mode. In the first compensation mode, the control unit 12 performs a process of performing compensation by the operator of the information processing apparatus 1, and in the second compensation mode, performs a process of mediating compensation by the insurance of the insurer. The compensation mode may be set by the administrator of the information processing apparatus 1, or may be set by the facility operator in the information processing apparatus 1 via the reservation server 3 for each facility operator.

The acquisition unit 30 acquires reservation information, action information, compensation application information, insurance application information, cancellation information, and the like from the reservation server 3. Further, the acquisition unit 30 acquires insurance information, insurance claim payment information, and the like from the insurance company server 5.

When the acquisition unit 30 acquires the reservation information from the reservation server 3, the acquisition unit 30 adds the acquired reservation information to the reservation information table 42. The reservation information includes information on the reservation ID, the user ID, the reception date and time, and the reservation content, and these information are added to the reservation information table 42.

Further, when the acquisition unit 30 acquires the cancellation information from the reservation server 3, the acquisition unit 30 adds the acquired cancellation information to the reservation information table 42. The cancellation information includes the reservation ID and the cancellation date / time information, and based on these information, the information indicating that the reservation has been canceled and the cancellation date / time information are added to the reservation information table 42.

Further, the acquisition unit 30 can acquire user information including the behavior information of the user U from a server (not shown). When the acquisition unit 30 acquires the user information, the acquisition unit 30 adds the acquired user information to the user information table 41. The acquisition unit 30 can also acquire user information from the terminal device 2, and in this case as well, the acquired user information can be added to the user information table 41.

The generation unit 31 executes machine learning using the user information and the reservation information stored in the storage unit 11 to generate a risk evaluation model which is a learning model for evaluating the risk of cancellation for the reservation. The generation unit 31 stores the generated information of the risk assessment model in the storage unit 11.

For example, the generation unit 31 can obtain a regression model in which the presence or absence of cancellation for the reservation is set as the objective variable (correct answer data) and each feature information based on the reservation information and the user information is set as the explanatory variable (element) as the learning model. The characteristic information extracted from the reservation information includes, for example, the usage period of the facility, the facility name, the area of the facility, the number of users, the usage price, the number of rooms used, and the size of the room to be used.

Further, the feature information extracted from the user information includes, for example, each attribute of the user U who is the reservation person, the behavior information of the user U who is the reservation person, and the like. The attributes of the user U are the demographic attributes and the psychographic attributes described above. The behavior information of the user U is a behavior history including a search history on the site, an access history to the site, a purchase history of services and products on the site, and the like. In addition, the behavior history includes, for example, the behavior history of at least one facility of the facility for which the reservation was made, the peripheral facilities located around the facility, and other facilities of the same type as the facility for which the reservation was made. The type of facility is classified into, for example, by the type of business of the facility (for example, by the products handled, by the total floor area of the facility, by the target customer base, by industry, by region, etc.).

In addition, the behavior information may include the credit rating in the behavior of the user U. The credit rating is an index showing the credit rating of the user U's behavior on the site. The credit rating is calculated based on, for example, an evaluation of behavior on the site such as an evaluation as a seller and an evaluation as a successful bidder on an auction site, and a payment status on a shopping site.

Further, the generation unit 31 can also use the reservation history of the user U and the reservation status of other facilities of the user U as explanatory variables based on the reservation information stored in the storage unit 11. For example, the cancellation rate of past facility reservations by user U, information on whether or not user U has made duplicate reservations for a plurality of facilities in the same period, and the like.

For example, the generation unit 31 obtains a regression model in which the presence or absence of cancellation for the reservation is set as the objective variable (correct answer data) and each feature information extracted from the reservation information and the user information is set as the explanatory variable (identity) as the risk assessment model. For example, the generation unit 31 obtains a regression model as shown in the following equation (1) as a risk assessment model.
y = ω ₁・ x ₁ ＋ ω ₂・ x ₂ ＋ ・ ・ ・ ＋ ω _n・ x _n・ ・ ・ (1)

In the above equation (1), "x" is an explanatory variable corresponding to each feature information extracted from the reservation information and the user information. "Y" indicates whether or not there is a cancellation for the reservation. If there is a cancellation for the reservation, "y" = "1", and if there is no cancellation for the reservation, "y" = "-1" or It becomes "0".

Further, in the above equation (1), "ω" is a coefficient of "x" and indicates a predetermined weight value. Specifically, "ω ₁ " is a weight value of "x ₁ ", "ω ₂ " is a weight value of "x ₂ ", and "ω _n " is a weight value of "x _n ". Is. As described above, the above equation (1) is a variable including an explanatory variable “x” corresponding to the feature information extracted from the reservation information and the user information and a predetermined weight value “ω” (for example, “ω ₁ . It is created by combining x1 _" ).

The information handled by the generation unit 31 as an explanatory variable is not limited to the above-mentioned example. For example, the generation unit 31 can also handle information such as the predicted weather of the facility usage date and the day of the week of the facility usage date as explanatory variables. For example, if the weather predicted on the day of use of the facility is bad (for example, storm, typhoon, cold wave, etc.), the possibility of cancellation is high. It is possible to improve the estimation accuracy of the cancellation risk.

Further, the generation unit 31 can also use the difference between the reception date and time and the usage date and time as an explanatory variable. This is because the probability of cancellation may change depending on the difference between the reception date and time and the usage date and time. For example, when the reception date and time is immediately before the usage date and time, the possibility that the reservation is canceled is lower than when the reception date and time is different from the usage date and time. Therefore, by using the difference between the reception date and time and the usage date and time as an explanatory variable, it is possible to improve the estimation accuracy of the cancellation risk.

In addition, the generation unit 31 may use explanatory variables such as the reservation status of surrounding facilities (for example, reservation rate) and whether or not each type of event (music event, sports event, comic market, etc.) is held at the date and time of use. can.

The generation unit 31 can also generate a risk assessment model common to all facilities, and can be used for each facility of n (n is a natural number) or more and for each facility type (for example, accommodation facilities such as hotels, inns, and pensions). It is also possible to generate a risk assessment model for each type (type, type of restaurant such as Chinese, Japanese, Italian, etc.). In addition, the generation unit 31 can also generate a risk assessment model for each season. In addition, the generation unit 31 can also generate a risk assessment model without using user information.

Further, the generation unit 31 can also generate a risk assessment model by using an SVM (Support Vector Machine) or another machine learning method. In addition, the generation unit 31 can also generate a risk assessment model using a technique of deep learning. For example, the generation unit 31 can generate a risk assessment model by appropriately using various deep learning techniques such as DNN (Deep Neural Network), RNN (Recurrent Neural Network), and CNN (Convolutional Neural Network).

The estimation unit 32 estimates the cancellation risk based on the reservation information and the user information acquired by the acquisition unit 30. For example, the estimation unit 32 extracts the user information including the action information such as the attribute information and the action history of the user U associated with the user ID included in the reservation information acquired by the acquisition unit 30 from the storage unit 11.

Then, the estimation unit 32 uses the risk assessment model of the above equation (1) using the extracted user information and the plurality of feature information extracted from the reservation information acquired by the acquisition unit 30 as explanatory variables, and cancel score Sc. Can be calculated. Specifically, the estimation unit 32 can calculate the cancellation score Sc by the calculation of the following equation (2). The estimation unit 32 adds the calculated result to the compensation-related information table 43.
Sc = ω ₁・ x ₁ + ω ₂・ x ₂ ＋ ・ ・ ・ ＋ ω _n・ x _n・ ・ ・ (2)

The estimation unit 32 calculates the above-mentioned cancellation score Sc at either the time when the reservation is accepted or the time when the situation of the facility changes. The time of situation change is, for example, a change in the predicted weather around the facility on the date and time of use, a change in whether or not an event is held around the facility on the date and time of use, and a change in external factors such as a change in the content of the event. .. Further, as the situation change, for example, a change in the reservation status of a user of another facility around the reserved facility, a change in the number of reserved people, or a change due to the user's behavior may be included.

In other words, the time when the situation changes is the time when the information of the explanatory variables of the risk assessment model described above changes, and the time when the cancellation risk Sc increases or decreases. In this way, the estimation unit 32 estimates the cancellation risk Sc each time there is a change in the situation, so that the proposal unit 33, which will be described later, can propose more appropriate measures.

Further, the estimation unit 32 estimates the value of the user U as a customer in the facility based on the behavior information acquired by the acquisition unit 30. As described above, the customer lifetime value, which is an example of the value of the user U, is an index showing how much profit the user who is a customer of the facility brings to the facility in his / her lifetime. The customer lifetime value can be obtained by integrating, for example, the profit per use (or reservation) of the facility and the number of uses (reservations) expected during the lifetime or within the customer life cycle. can. The value of the user U is not limited to the lifetime value of the customer, and an index such as a customer acquisition cost (CAC) or ROI (Return on Investment) may be used as the value of the user U.

Further, the estimation unit 32 may calculate the lifetime value obtained by adding the user information including the behavior information of the user U to the lifetime value calculated above. For example, the estimation unit 32 calculates the final lifetime value by multiplying the lifetime value calculated above by a coefficient according to the behavior information. In this way, by adding the behavior information of the user U, the accuracy of the calculated lifetime value can be improved.

The proposal unit 33 proposes measures against the cancellation of the reservation to the facility operator based on the cancellation risk estimated by the estimation unit 32. For example, the proposal unit 33 determines the measures to be proposed based on the cancellation risk estimated by the estimation unit 32 and the lifetime value of the user U. Here, with reference to FIG. 7, a specific method for determining countermeasures by the proposal unit 33 will be described.

FIG. 7 is a diagram showing a process of determining countermeasures by the proposal unit 33. In FIG. 7, a two-axis graph with cancellation risk on the horizontal axis and LTV (lifetime value) on the vertical axis is shown. As shown in FIG. 7, the proposal unit 33 divides each of the LTV and the cancellation risk Sc into two stages (whether it is above or below the threshold value or below the threshold value), and selects one from four types of countermeasures consisting of each combination.

For example, when the LTV is high and the cancellation risk SC is high, the proposal unit 33 proposes insurance subscription and coupon issuance as countermeasures. The details of the insurance to be taken out will be described later. Issuing a coupon is an example of preferential information regarding preferential treatment of a facility, and refers to providing, for example, a discount coupon for use of a facility (such as a hotel restaurant) attached to the facility to the user U before the date of use. User U, who has a high LTV and cancellation risk Sc, is not at first glance, but is a user who is likely to become a regular customer if he / she uses the facility, but on the other hand, he / she is also a user who is easy to cancel. That is, the proposal unit 33 can make it difficult to cancel such a user U by providing preferential information in advance before the date of use.

Further, for example, when the LTV is high and the cancellation risk Sc is low, the proposal unit 33 proposes insurance subscription and upgrade as a countermeasure. The upgrade is an example of preferential information regarding the preferential treatment of the facility, for example, to improve the quality of the reservation contents (room grade, etc.) of the facility when using the reserved facility. User U, who has a high LTV and a low cancellation risk Sc, is not at first glance, but is a user who is likely to become a regular customer if he / she uses the facility, and is also a user who does not cancel much. That is, the proposal unit 33 increases the possibility that the user U likes the facility and becomes a regular customer by providing preferential information when the user U uses the facility on the day of use. Can be done. For the user U having a high LTV and a low cancellation risk Sc, the insurance may not be proposed, but only the preferential information may be proposed.

Further, for example, the proposal unit 33 proposes only the insurance coverage when the LTV is low and the cancellation risk Sc is high and when the LTV is low and the cancellation risk Sc is low. Even if such user U provides preferential information, it is unlikely that he / she will become a regular customer. That is, since the provision of preferential information is not effective, he / she prepares only for the loss at the time of cancellation due to insurance coverage. As a result, the facility operator does not have to provide ineffective preferential information, and thus it is possible to prevent the profit of the facility from being reduced. For the user U having a low LTV and a low cancellation risk Sc, the insurance may not be proposed, that is, the countermeasure may not be proposed.

In FIG. 7, the measures to be proposed are determined based on the two axes of LTV and cancellation risk Sc, but the measures may be three or more axes. Further, in FIG. 7, each axis is divided into two stages of high and low, but it may be divided into three or more stages of high, medium and low.

Further, although the proposal unit 33 has proposed measures to the facility operator, the information may be directly provided to the user U in addition to the facility operator. For example, the proposal unit 33 may provide information for suppressing the occurrence of cancellation directly from the information processing device 1 to the user U, provided that the facility operator executes the proposed countermeasure. For example, the proposal unit 33 directly provides the user U with preferential information and the like of other services managed by the information processing apparatus 1. As a result, the occurrence of cancellation can be suppressed, and the profit of the facility can be improved.

Further, the determination of the insurance content described above by the proposal unit 33 is processed according to the compensation mode.

For example, the proposal unit 33 determines the compensation amount and the compensation fee for the cancellation of the reservation based on the cancellation score Sc estimated by the estimation unit 32 when the compensation mode is set to the first compensation mode.

The proposal unit 33 has a calculation formula or a table showing the relationship between the cancellation score Sc and the compensation amount and the compensation fee, and the compensation amount and the compensation fee in the compensation service can be obtained using the calculation formula or the table. can.

The proposal unit 33 can also obtain the compensation amount and the compensation fee in the compensation service based on the cancellation score Sc and the usage price of the reserved facility. For example, the proposal unit 33 has an arithmetic expression or table showing the relationship between the cancellation score Sc and the compensation fee, and uses the arithmetic expression or table to obtain the compensation fee corresponding to the cancellation score Sc. Then, the proposal unit 33 can calculate the compensation fee in the compensation service by multiplying the compensation fee corresponding to the cancellation score by the usage price of the reserved facility. In this case, the usage price of the facility will be the compensation amount.

Further, when the facility operator specifies the compensation amount, the proposal unit 33 can use the "designated compensation amount" instead of the "reserved facility usage price". In this case, the proposal unit 33 can calculate the compensation fee in the compensation service by multiplying the compensation fee corresponding to the cancellation score Sc by the designated compensation amount. The calculation of the compensation fee in the compensation service is not limited to the above-mentioned example, and may be any compensation fee calculated based on the cancellation score Sc. Further, the proposal unit 33 may determine only the compensation fee for the compensation service.

Further, the proposal unit 33 can determine the compensation fee so that the compensation fee becomes higher as the usage date and time is closer to the reception date and time. This is because the closer the usage date and time is to the reception date and time, the higher the probability of damage caused by the cancellation of the reservation. In this case, the proposal unit 33 obtains the compensation fee calculated as described above as the basic compensation fee, and multiplies the basic compensation fee by a coefficient that increases as the usage date and time approaches the reception date and time to obtain the compensation fee in the compensation service. Can be asked.

In addition, the proposal unit 33 can reduce the compensation fee for compensation for cancellation of reservations for facilities subscribed to the collective compensation service. The collective compensation service is a service that compensates for the cancellation of a facility reservation without applying for subscription to the compensation service for each reservation, and the facility operator sends the information processing device 1 to the information processing device 1 in advance via the reservation server 3. An application for membership is made.

The proposal unit 33 obtains the compensation fee calculated as described above as the basic compensation fee for the reservation of the facility subscribed to the collective compensation service, and multiplies the basic compensation fee by a discount coefficient (value smaller than 1). Then, the compensation fee for the compensation service can be obtained.

When the compensation mode is set to the first compensation mode, the proposal unit 33 transmits compensation information, which is information on the compensation amount and compensation fee determined by the proposal unit 33, to the reservation server 3. As a result, compensation information is transmitted from the reservation server 3 to the terminal device 2.

Further, when the compensation mode is set to the second compensation mode, the proposal unit 33 provides the insurance application information to the insurance company by transmitting the insurance application information acquired by the reception unit 34 to the insurance company server 5. do. Insurance application information is an example of compensation application information.

Further, when the compensation mode is set to the second compensation mode, the proposal unit 33 transmits the insurance information acquired by the acquisition unit 30 from the insurer server 5 to the reservation server 3. As a result, compensation information is transmitted from the reservation server 3 to the terminal device 2. The insurance information is an example of compensation information, and the insurance information includes information on the insurance amount and the insurance premium determined by the insurer based on the cancellation score Sc calculated by the estimation unit 32. The insurance amount is an example of the compensation amount, and the insurance premium is an example of the compensation fee.

Further, when the compensation mode is set to the second compensation mode, the proposal unit 33 transmits the risk information including the cancellation risk information calculated by the estimation unit 32 to the insurer server 5. The cancellation risk information is, for example, the cancellation score Sc information. The cancellation risk information may include information on the usage price included in the reservation information.

As described above, as a measure against cancellation, the proposal unit 33 provides the user U with preferential information regarding the preferential treatment of the facility, and at least one of the subscriptions to the compensation service that compensates when the cancellation occurs. To the facility operator. As a result, it is possible to compensate for the occurrence of cancellation while suppressing the occurrence of cancellation.

The reception unit 34 accepts an application for subscription to the compensation service for each reservation. Specifically, the reception unit 34 acquires compensation application information transmitted from the reservation server 3, and in the compensation-related information table 43, "compensation" associated with the reservation ID included in the compensation application information acquired from the reservation server 3. Set "Presence / absence of service subscription" to "Yes". As a result, the application for subscription to the compensation service will be accepted. When the compensation mode is set to the second compensation mode, the compensation application information is insurance application information.

When the cancellation information is acquired by the acquisition unit 30, the compensation processing unit 35 performs a process for executing compensation for the cancellation.

For example, when the compensation mode is set to the first compensation mode, the compensation processing unit 35 determines whether or not to pay the compensation amount corresponding to the compensation amount based on the cancellation information acquired by the acquisition unit 30. conduct. The compensation processing unit 35 determines that compensation will be paid if the cancellation of the reservation satisfies the conditions of the compensation agreement, and determines that the compensation will not be paid if the cancellation of the reservation does not satisfy the conditions of the compensation agreement.

The compensation processing unit 35 satisfies the conditions of the compensation agreement, for example, when the compensation fee is not paid within a preset period or when it cannot be proved that the damage is caused by the cancellation of the reservation. It is determined that there is no such thing. The damage caused by the cancellation of the reservation occurs, for example, when the guest room or seat that became vacant when the cancellation of the reservation occurs is not used on the canceled usage date and time.

When the compensation processing unit 35 determines that the compensation amount corresponding to the compensation amount is to be paid, the compensation processing unit 35 acquires the compensation amount information stored in the compensation information DB 22 based on the reservation ID included in the cancellation information. The compensation processing unit 35 can remit the compensation amount of the compensation amount to the facility operator via the server of the financial institution based on the acquired information of the compensation amount.

Further, when the compensation mode is set to the second compensation mode, the compensation processing unit 35 transmits the cancellation information acquired by the acquisition unit 30 to the insurer server 5. As a result, the insurer server 5 executes compensation processing for cancellation.

Next, the procedure of the process executed by the information processing apparatus 1 according to the embodiment will be described with reference to FIG. FIG. 8 is a flowchart showing a procedure of processing executed by the information processing apparatus 1 according to the embodiment.

As shown in FIG. 8, first, the acquisition unit 30 determines whether or not the reservation information has been acquired from the reservation server (step S101). When the acquisition unit 30 acquires the reservation information (step S101, Yes), the acquisition unit 30 acquires the action information which is the information about the action of the user U (step S102).

Subsequently, the estimation unit 32 estimates the risk that the reservation by the user U will be canceled based on the behavior information acquired by the acquisition unit 30 (step S103). Subsequently, the estimation unit 32 further estimates the lifetime value of the user U with respect to the facility based on the behavior information of the user U (step 104).

Subsequently, the proposal unit 33 proposes a countermeasure against cancellation based on the cancellation risk Sc estimated by the estimation unit 32 and the lifetime value (step S105), and ends the process.

In the above-mentioned information processing system 100, after the facility is reserved, the cancellation risk is calculated, and the compensation fee (including insurance premium) and the compensation amount (including insurance amount) based on the calculated cancellation risk are determined. , Not limited to such examples.

For example, the information processing apparatus 1 can calculate the cancellation risk when a reservation for a facility is applied for. For example, the control unit 12 of the information processing apparatus 1 can acquire information about the reservation before the reservation process is completed from the reservation server 3 as reservation information. In this case, the control unit 12 of the information processing apparatus 1 can estimate the cancellation risk by using the information related to the reservation before the reservation process is completed as the reservation information.

Then, the information processing apparatus 1 proposes a countermeasure based on the cancellation risk calculated based on the reservation before the reservation process is completed. The reservation server transmits the measures proposed by the information processing apparatus 1 to the facility operator. As a result, the facility operator can determine whether or not to accept the reservation in addition to whether or not to implement the countermeasure based on the proposed countermeasure.

Further, in the above-mentioned information processing system 100, the cancellation risk is used for the compensation service, but the cancellation risk can also be used for other than the compensation service. For example, the control unit 12 of the information processing apparatus 1 estimates the cancellation risk by using the information related to the reservation before the reservation process is completed as the reservation information. The control unit 12 of the information processing apparatus 1 transmits the estimated cancellation risk information to the reservation server 3. The control unit 12 of the information processing apparatus 1 can also transmit the cancellation risk information to the reservation server 3 when the cancellation risk is equal to or higher than a predetermined value.

When the control unit 52 of the reservation server 3 has acquired the cancellation risk information, it can transmit the cancellation risk information to the facility device 4. As a result, the facility operator can determine whether or not to accept the reservation based on the information on the cancellation risk. The control unit 52 of the reservation server 3 may not accept reservations when the cancellation risk is equal to or higher than a predetermined value.

Further, the control unit 52 or the facility device 4 of the reservation server 3 can change the usage price based on the cancellation risk information. For example, the control unit 52 or the facility device 4 of the reservation server 3 can lower the usage price as the cancellation risk is lower. Further, the control unit 52 or the facility device 4 of the reservation server 3 can raise the usage price as the cancellation risk increases.

The information processing apparatus 1 in the above-described embodiment is realized by executing a program by a computer 200 having a configuration as shown in FIG. 9, for example.

FIG. 9 is a diagram showing an example of a hardware configuration of a computer that executes a program according to an embodiment. The computer 200 includes a CPU 201, a RAM 202, a ROM 203, an HDD 204, a communication interface (I / F) 205, an input / output interface (I / F) 206, and a media interface (I / F) 207.

The CPU 201 operates based on the program stored in the ROM 203 or the HDD 204, and controls each part. The ROM 203 stores a boot program executed by the CPU 201 when the computer 200 is started, a program depending on the hardware of the computer 200, and the like.

The HDD 204 stores data and the like used by the program executed by the CPU 201. The communication interface 205 corresponds to the communication unit 10, receives data from another device via the network 6 and sends the data to the CPU 201, and transmits the data generated by the CPU 201 to the other device via the network 6.

The CPU 201 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 206. The CPU 201 acquires data from the input device via the input / output interface 206. Further, the CPU 201 outputs the generated data to the output device via the input / output interface 206.

The media interface 207 reads the program or data stored in the recording medium 208 and provides it to the CPU 201 via the RAM 202. The CPU 201 loads the program from the recording medium 208 onto the RAM 202 via the media interface 207, and executes the loaded program. The recording medium 208 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

The CPU 201 of the computer 200 realizes the functions of the acquisition unit 30, the generation unit 31, the estimation unit 32, the proposal unit 33, the reception unit 34, and the compensation processing unit 35 described above by executing the program loaded on the RAM 202. be able to. Further, the acquisition unit 30, the generation unit 31, the estimation unit 32, the proposal unit 33, the reception unit 34, and the compensation processing unit 35 may each be partially or wholly composed of only hardware.

The CPU 201 of the computer 200 reads and executes the programs from the recording medium 208, but as another example, these programs may be acquired from another device via the network 6. The HDD 204 corresponds to the storage unit 11 and stores the same data as the storage unit 11. Further, instead of the HDD 204, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as an optical disk may be used.

The information processing apparatus 1 according to the embodiment includes an acquisition unit 30, an estimation unit 32, and a proposal unit 33. The acquisition unit 30 acquires behavior information, which is information regarding the behavior of the user U who has made a reservation for the facility. The estimation unit 32 estimates the cancellation risk, which is the risk of the reservation being canceled by the user U, based on the behavior information acquired by the acquisition unit 30. The proposal unit 33 proposes measures against cancellation to the facility operator based on the cancellation risk estimated by the estimation unit 32. As a result, it is possible to take measures to suppress the occurrence of cancellation, measures for compensation when cancellation occurs, and the like. In addition, by proposing measures against cancellation, the facility operator does not have to request the user for advance payment or cancellation fee as in the past, so that the user does not refrain from making a reservation. Therefore, according to the information processing apparatus according to the embodiment, it is possible to propose an appropriate measure against cancellation to the facility operator while promoting the reservation.

Further, the estimation unit 32 estimates the value of the user U as a customer in the facility based on the behavior information. The proposal unit 33 proposes countermeasures based on LTV and cancellation risk. In this way, by proposing countermeasures using the value of the user U as a customer and the risk of cancellation, more appropriate countermeasures can be proposed to the facility operator.

Further, the estimation unit 32 estimates LTV, which is the customer lifetime value, as the value of the user U. This makes it possible to accurately estimate the value of the user U as a customer.

In addition, as a countermeasure, the proposal unit 33 provides the user U with preferential information regarding the preferential treatment of the facility, and at least one of the subscriptions to the compensation service that provides compensation in the event of cancellation to the facility operator. suggest. For example, by providing preferential information to user U before the date and time of use, it is possible to stop canceling, and by providing preferential information on the day of use, it is possible to become a regular customer instead of at first glance. It can enhance sex. Further, for example, by proposing to subscribe to the compensation service, even if the cancellation should occur, the compensation can be received, and the loss due to the cancellation can be suppressed.

Further, the estimation unit 32 estimates the cancellation risk by using a risk assessment model, which is a model that outputs a cancellation score Sc indicating the degree of cancellation risk by inputting behavior information. In this way, by calculating the cancellation score Sc using the risk assessment model, the cancellation risk can be estimated accurately.

Further, the action information includes at least one of the credit rating in the action of the user U and the action history of the user U. This makes it possible to accurately estimate the cancellation risk.

Further, the behavior history of the user U includes a behavior history for at least one facility of a facility, a facility surrounding the facility, and another facility having a type similar to the facility. In this way, the cancellation risk can be estimated accurately by using the behavior history for the reserved facility, the surrounding facility, and other facilities of the same type as the reserved facility.

Further, the estimation unit 32 estimates the cancellation risk at either the time when the reservation is accepted or the time when the situation of the facility changes. For example, by estimating the cancellation risk at the time of accepting a reservation, it is possible to propose cancellation measures to the facility operator at an early stage. Further, for example, by estimating the cancellation risk when the situation of the facility changes, it is possible to promptly propose a countermeasure when the cancellation risk increases due to, for example, bad weather.

Further, the information processing device 1 described above may be realized by a plurality of server computers, and depending on the function, an external platform or the like may be called by API (Application Programming Interface), network computing, or the like. The configuration can be changed flexibly.

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

Although the present invention has been described above using the above embodiments, the technical scope of the present invention is not limited to the scope described in the above embodiments. It will be apparent to those skilled in the art that various changes or improvements can be made to the above embodiments. It is also clear from the description of the claims that the form with such changes or improvements may be included in the technical scope of the present invention.

1 Information processing device 2, 2 ₁ to 2 _n Terminal device 3 Reservation server 4, 4 ₁ to 4 _m Facility device 5 Insurer server 6 Network 10, 50 Communication unit 11, 51 Storage unit 12, 52 Control unit 20 User information DB
21 Reservation information DB
22 Compensation information DB
30 Acquisition unit 31 Generation unit 32 Estimation unit 33 Proposal unit 34 Reception unit 35 Compensation processing unit 41 User information table 42 Reservation information table 43 Compensation-related information table 100 Information processing system

Claims (10)

The acquisition unit that acquires behavior information, which is information about the behavior of the user who made the reservation for the facility,
An estimation unit that estimates the risk of cancellation of the reservation by the user based on the behavior information acquired by the acquisition unit, and an estimation unit.
Based on the risk estimated by the estimation unit, the proposal unit that proposes measures against the cancellation to the operator of the facility, and the proposal unit.
Equipped with
The proposal section
As the countermeasure, propose to the operator of the facility to subscribe to a compensation service that compensates when the cancellation occurs.
An information processing device characterized by. The estimation unit
Further estimating the value of the user as a customer in the facility based on the behavior information,
The proposal section
The information processing apparatus according to claim 1, wherein the countermeasure is proposed based on the value and the risk. The estimation unit
The information processing apparatus according to claim 2, wherein the customer lifetime value is estimated as the value. The proposal section
The information processing apparatus according to any one of claims 1 to 3, wherein as the countermeasure, it is proposed to the business operator of the facility to provide preferential information regarding the preferential treatment of the facility to the user. The estimation unit
The information processing apparatus according to any one of claims 1 to 4, wherein the risk is estimated by using a model that outputs a score indicating the degree of the risk by inputting the behavior information. .. The behavior information is
The information processing apparatus according to any one of claims 1 to 5, wherein the information processing apparatus includes at least one of the creditworthiness of the user's behavior and the behavior history of the user. The user's behavior history includes
The information processing apparatus according to claim 6, wherein the information processing apparatus includes an action history for at least one facility of the facility, a facility surrounding the facility, and another facility of a type similar to the facility. The estimation unit
The information processing apparatus according to any one of claims 1 to 7, wherein the risk is estimated at any timing of receiving the reservation or changing the situation of the facility. It is an information processing method executed by a computer.
The acquisition process to acquire behavior information, which is information about the behavior of the user who made the reservation for the facility,
An estimation process for estimating the risk of cancellation of the reservation by the user based on the behavior information acquired by the acquisition process, and an estimation process.
Based on the risk estimated by the estimation process, a proposal process for proposing measures against the cancellation to the operator of the facility, and a proposal process .
Including
The proposed process is
As the countermeasure, propose to the operator of the facility to subscribe to a compensation service that provides compensation when the cancellation occurs.
An information processing method characterized by. The acquisition procedure to acquire the behavior information, which is the information about the behavior of the user who made the reservation of the facility,
An estimation procedure for estimating the risk of cancellation of the reservation by the user based on the behavior information acquired by the acquisition procedure, and an estimation procedure.
Based on the risk estimated by the estimation procedure, a proposal procedure for proposing measures against the cancellation to the operator of the facility, and a proposal procedure .
Let the computer run
The proposed procedure is
As the countermeasure, propose to the operator of the facility to subscribe to a compensation service that provides compensation when the cancellation occurs.
An information processing program featuring.

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