JP7036977B1 - Information processing equipment, information processing methods and information processing programs - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device, an information processing method and an information processing program for presenting a vehicle which can be purchased at a substantial cost.
In an information processing device 100 that communicates with a terminal device via a network, an acquisition unit 131 includes information on a selling price of a target vehicle, information on a user's currently owned vehicle, and a user's purchase of the target vehicle. Get information about the budget available to you. The estimation unit 133 estimates the real cost based on the selling price of the object and the estimated future purchase amount, and the selling price of the object, the estimated future purchase amount of the object, and the current purchase of the user's property. Estimate the real cost based on the estimated amount. The provider 135 presents to the user information about the object as well as the real cost and information about the object whose real cost is within the budget.
[Selection diagram] FIG. 5

Description

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

Technology for determining the replacement timing of a vehicle so as to keep the car life lifetime cost low is disclosed.

Japanese Unexamined Patent Publication No. 2009-230274

However, the above-mentioned conventional technique is merely for the purpose of keeping the car life lifetime cost low and determining the replacement timing of the vehicle. Until now, when searching for a vehicle, you only searched for a vehicle with a selling price that fits your budget, but if you assume a future transfer, the cost of taking out a luxury car and a mid-range car may be about the same. If this is taken into consideration, it is thought that more options can be presented when purchasing a vehicle.

The present application has been made in view of the above and aims to present a vehicle that can be purchased at a substantial cost.

The information processing apparatus according to the present application includes an acquisition unit that acquires information on the selling price of an object, an estimation unit that estimates a real cost based on the selling price of the object and an estimated future purchase amount, and the real cost. The estimation unit includes a providing unit that presents information about the object, and the estimation unit allocates the user to purchase the object based on the attribute information and history information of the user who is the target customer of the object. Estimating a possible budget, the provider is characterized in presenting to the user information about the object whose real cost is within the budget .

According to one embodiment, it is possible to present a vehicle that can be purchased at a real cost.

FIG. 1 is an explanatory diagram showing a first outline of the information processing method according to the embodiment. FIG. 2 is an explanatory diagram showing a second outline of the information processing method according to the embodiment. FIG. 3 is a diagram showing a configuration example of an information processing system according to an embodiment. FIG. 4 is a diagram showing a configuration example of the terminal device according to the embodiment. FIG. 5 is a diagram showing a configuration example of the information providing device according to the embodiment. FIG. 6 is a diagram showing an example of a user information database. FIG. 7 is a diagram showing an example of a history information database. FIG. 8 is a diagram showing an example of a vehicle information database. FIG. 9 is a flowchart showing a processing procedure according to the embodiment. FIG. 10 is a diagram showing an example of a hardware configuration.

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

[1. Overview of information processing method]
First, with reference to FIGS. 1 and 2, an outline of an information processing method performed by the information processing apparatus according to the embodiment will be described. FIG. 1 is an explanatory diagram showing a first outline of the information processing method according to the embodiment. FIG. 2 is an explanatory diagram showing a second outline of the information processing method according to the embodiment. In addition, in FIG. 1 and FIG. 2, the case of presenting a vehicle that can be purchased at a real cost will be described as an example.

As shown in FIGS. 1 and 2, the information processing system 1 includes a terminal device 10 and an information providing device 100. The terminal device 10 and the information providing device 100 are connected to each other via a network N (see FIG. 3) so as to be able to communicate with each other by wire or wirelessly. In the present embodiment, the terminal device 10 cooperates with the information providing device 100.

The terminal device 10 is a smart device such as a smartphone or tablet used by the user U (user), and communicates with an arbitrary server device via a wireless communication network such as 4G (Generation) or LTE (Long Term Evolution). It is a portable terminal device capable of performing. Further, the terminal device 10 is a screen such as a liquid crystal display and has a screen having a touch panel function, and display data such as contents such as tap operation, slide operation, scroll operation, etc. from the user U with a finger, a stylus, or the like. Accepts various operations for. The operation performed on the area of the screen on which the content is displayed may be an operation on the content. Further, the terminal device 10 may be not only a smart device but also an information processing device such as a desktop PC (Personal Computer) or a notebook PC.

The information providing device 100 cooperates with the terminal device 10 of each user U, and provides various API (Application Programming Interface) services and the like for various applications (hereinafter referred to as applications) for the terminal device 10 of each user U. It is an information processing device that provides data, and is realized by a server device, a cloud system, or the like.

Further, the information providing device 100 may be an information processing device that provides some kind of Web service online to the terminal device 10 of each user U. For example, the information providing device 100 includes Internet connection, search service, SNS (Social Networking Service), electronic commerce, electronic payment, online game, online banking, online trading, accommodation / ticket reservation, video / music distribution, as Web services. Services such as news, maps, route search, route guidance, route information, operation information, and weather forecast may be provided. Actually, the information providing device 100 may cooperate with various servers that provide the above-mentioned Web service, mediate the Web service, or may be in charge of processing the Web service.

The information providing device 100 can acquire user information about the user U. For example, the information providing device 100 acquires information on the attributes of the user U such as the gender, age, and residential area of the user U. Then, the information providing device 100 stores and manages information related to the attributes of the user U together with the identification information (user ID and the like) indicating the user U.

Further, the information providing device 100 acquires various historical information (log data) indicating the behavior of the user U from the terminal device 10 of the user U or from various servers or the like based on the user ID or the like. For example, the information providing device 100 acquires a position history, which is a history of the position of the user U and the date and time, from the terminal device 10. Further, the information providing device 100 acquires the search history, which is the history of the search query input by the user U, from the search server (search engine). Further, the information providing device 100 acquires a browsing history, which is a history of the content browsed by the user U, from the content server. Further, the information providing device 100 acquires a purchase history (settlement history), which is a history of product purchases and payment processing of the user U, from an electronic commerce server or a payment processing server. Further, the information providing device 100 may acquire the listing history and the sales history, which are the listing history of the user U in the marketplace, from the electronic commerce server or the payment server. Further, the information providing device 100 acquires the posting history, which is the posting history of the user U, from the posting server or the SNS server that provides the word-of-mouth posting service.

Further, the information providing device 100 acquires the selling price of the vehicle from an external site (search site, used car sales site) or the like via the network N (see FIG. 3). At this time, the information providing device 100 may acquire the expected future purchase price of the vehicle as well as the current selling price of the vehicle from an external site or the like via the network N (see FIG. 3), or the current target object. The estimated future purchase price of the vehicle may be estimated from the selling price. For example, the information providing device 100 may estimate the expected future purchase price based on the current selling price of the vehicle and the elapsed years of the vehicle.

In the present embodiment, the information providing device 100 has a real cost (substantial) based on the current selling price of the vehicle and the expected purchase price (trade-in price, resale price, market price) of the vehicle when it is sold in the future (several years later). Calculate (estimate) the purchase price) and present the vehicle together with the actual cost on the vehicle sales site. For example, the information providing device 100 presents the current selling price of the vehicle, the estimated future purchase amount, and the real cost together with the information about the vehicle. At this time, the information providing device 100 may present the expected future purchase amount and the actual cost of the vehicle for each elapsed year. Further, in reality, various costs associated with changing vehicles may be added to the actual costs.

For example, the information providing device 100 is a purchase target of the user U when a budget (amount of money that the user is willing to pay) that can be allocated to vehicle purchase is input from the terminal device 10 of the user U. Estimated real cost by estimating the real cost at the time of vehicle purchase from the difference (difference) between the selling price of the vehicle (target vehicle) that can be (search target) and the estimated purchase price when riding the vehicle for 3 years. Present a list of vehicles whose costs are within budget (or slightly above budget). In reality, any price range may be input, not limited to the budget that can be allocated to the purchase of the vehicle. This makes it possible to search for a vehicle whose actual cost is in the price range, even if the vehicle is not necessarily a vehicle that can be purchased by the user U.

At this time, the information providing device 100 posts the vehicles in the list in order from the vehicle having the highest selling price. Alternatively, the information providing device 100 may be posted in order from the vehicle having the lowest actual cost.

Note that 3 years is just an example. For example, the number of years when a vehicle purchased as a new vehicle is released (sold) at the timing of vehicle inspection is approximately "3 years". In the case of a used car, the timing of the vehicle inspection is not always "3 years". Actually, the information providing device 100 may arbitrarily set the elapsed years (the number of years scheduled to be changed) until the user U changes (releases) the vehicle in the future.

Alternatively, the information providing device 100 may estimate or acquire an estimated future purchase amount based on the mileage rather than the elapsed years of the vehicle. For example, if the information providing device 100 plans to release (sell) the vehicle when the mileage of the vehicle exceeds 10,000 km, the current selling price of the vehicle and the mileage of the vehicle are 10,000. The actual cost of the vehicle may be calculated from the difference from the estimated purchase price when the distance exceeds km.

Further, when the vehicle is a new vehicle, the information providing device 100 calculates the actual cost of the vehicle from the difference between the current selling price of the vehicle and the resale price (resale price) three years after the vehicle. On the other hand, when the vehicle is a used vehicle, the information providing device 100 has different years and mileage depending on the vehicle. Therefore, the selling price according to the grade and model year of each vehicle and the resale price three years later are used. From the difference, calculate the actual cost of the vehicle.

For example, the information providing device 100 calculates the actual cost of the vehicle from the difference between the selling price of the vehicle A in the second year and the resale price of the vehicle A in the fifth year for the vehicle A that has been used for two years. .. Further, the information providing device 100 calculates the actual cost of the vehicle from the difference between the selling price of the vehicle type B in the 4th year and the resale price of the vehicle type B in the 7th year for the vehicle type B that has been used for 4 years. ..

Further, in reality, the information providing device 100 may present a list of vehicles to be purchased only from the future resale price (resale price) of the vehicle without considering the current selling price of the vehicle. For example, when the user U is searching for a vehicle whose resale price after 3 years is 1 million yen or more, the information providing device 100 lists a list of vehicles whose resale price after 3 years is 1 million yen or more. You may present it.

Further, the information providing device 100 may calculate a value obtained by multiplying the current selling price of the vehicle by a predetermined ratio as a future resale price (resale price). For example, the information providing device 100 may calculate 80% of the current selling price of the vehicle as the resale price after 3 years of the vehicle (current selling price × 0.8 = resale price after 3 years).

Further, in the present embodiment, the information providing device 100 is a dedicated page (for example, a vehicle owned by the user U) in which the vehicle C (owned vehicle) owned by the user U is registered for the user U who is the car owner. , My car page). Then, on the dedicated page, the information providing device 100 registers / updates the owner information (user information) about the user U who is the car owner and the vehicle C which is the property of the user U. Stores and manages vehicle information (property information) related to. Actually, the user U is not limited to the car owner himself, but is a relative (family, close relatives, etc.) or an agent of the car owner who can communicate with the car owner himself regarding the vehicle C. May be good.

The owner information includes various information such as the address (place of residence), gender, age group (age group), occupation, annual income, payment history, ETC card history, and other attributes of the user U. For example, the owner information is information about attributes such as demographic (demographic attribute), psychographic (psychological attribute), geographic (geographical attribute), and behavioral (behavioral attribute) of user U. May include. Further, the owner information may include various history information. The various history information may include the usage history of automobile insurance and road service.

Further, the owner information may include the driving information (driving record) of the user U. Driving information (driving record) is, for example, driving history (XX years, etc.), driving frequency (△△ times a week, etc.), familiar vehicle type, familiar area and road, navigation application (navigation application). ) And driving force diagnosis results provided by drive recorders and the like are included. It may also include additional information such as being a good driver (gold license), accustomed to the highway, having a long trip, and driving a car on a regular basis.

Vehicle information includes, for example, vehicle type / use / model / year / class of vehicle C, classification of gasoline vehicle / plug-in hybrid vehicle (PHV) / electric vehicle, etc., domestic vehicle / imported vehicle / foreign vehicle / Classification of light cars / compact cars / classic cars (old cars) / luxury cars / sports cars / custom cars (remodeled cars) / camping cars / overnight cars, painting features (special painting), exterior features (special) Exterior), purpose of use (business use, commuting / school use, daily / leisure use, etc.), mileage, years of use, vehicle condition (dents, scratches, etc.), repair history / repair history (accident history), automobile insurance Includes various information such as usage history, inspection / maintenance history, purchase shop (acquisition route), purchase price, vehicle inspection expiration date, and voluntary insurance maturity. The information regarding the vehicle state may be an image of the entire vehicle or each part of the vehicle C. That is, the vehicle information may include an image of the vehicle C.

For example, the vehicle information may include a history of work such as repair, maintenance, painting, sheet metal, maintenance / inspection (maintenance), modification (customization), and parts replacement / installation of the vehicle C. Further, the vehicle information may include a history of the above-mentioned work request (estimation request, ordering, etc.). Further, the above work may be performed when the vehicle C is purchased or replaced. In addition, vehicle information includes interior (including car film), exterior (including wing), steering wheel, wheel, suspension, muffler, brake, drive system, electrical system, light lamp, car audio woofer (including car film) of vehicle C. Woofer), drive recorders, and other parts, accessories, goods, etc. may be included.

Alternatively, the information providing device 100 can provide points, bonuses, and benefits to the user U on the dedicated page by performing maintenance / electronic payment at a specific company (partner company, client company, etc.). Campaign information such as granting may be provided. Then, when the user U makes a maintenance / electronic payment at a specific vendor, the information providing device 100 acquires information on the maintenance / electronic payment and reflects it in the maintenance record.

Here, the dealers are not limited to automobile maintenance factories (automobile maintenance dealers), but used car dealers (used car dealers), dismantling factories (automobile dismantling dealers), custom tuning shops, external product (non-genuine product) shops, etc. It may be an automobile aftermarket supplier or the like. Actually, it may be an authorized dealer (special agent) or a sub-dealer (dealer). Further, the company is not limited to a car aftermarket company, but may be a company related to automobile insurance or road service.

Further, if the user U has already registered the private car information (vehicle information of the owned vehicle) on the dedicated page, the information providing device 100 adds the private car information to the trade-in price (market price) of the private car (owned vehicle). The real cost may be calculated including and the vehicle can be searched. That is, when the private car information is registered, the information providing device 100 can search the vehicle by adding the private car information at the time of searching.

Further, if the user information (owner information) related to the annual income is registered on the dedicated page, the information providing device 100 is based on the payment amount according to the annual income (eg, half of the annual income) and the private car information. You may calculate the appropriate purchase limit and present a list of vehicles that meet the appropriate purchase limit.

Further, the information providing device 100 may execute not only the search for the vehicle according to the actual cost including the resale price but also the vehicle transfer simulation on the dedicated page. For example, the information providing device 100 may execute a vehicle transfer simulation based on the actual cost including the resale price when the private car information is registered by the user U on the dedicated page. At this time, in the information providing device 100, the vehicle (target vehicle) that the user U wants to purchase is "3 million yen", the future resale price of the vehicle that the user U wants to purchase is "700,000 yen", and the private car (owned vehicle). ), Assuming that the trade-in price (market price) is "1 million yen", the real cost is calculated as "3 million yen- (700,000 yen + 1 million yen) = 1.3 million yen".

In the above description, the dedicated page is not limited to an independent page, but may be one of a page, a screen, or a mini application included in a website or application that the user U can log in to. Also, the dedicated page is just an example. Actually, even if it is not a dedicated page, a commercial transaction site, a search site, a member page (user page) of a company, etc., an SNS, other websites or applications, etc., where the user U can register information about his / her own property, etc. May be.

Here, the information providing device 100 constructs a model for estimating (calculating) the future resale price by performing machine learning about the future resale price (resale price) by using a machine learning method or the like by a neural network. May be good. In this case, the information providing device 100 is combined with the vehicle information (or an image) of the target vehicle in a model constructed through machine learning using, for example, RNN (Recurrent Neural Network) or LSTM (Long short-term memory). After learning the elapsed years / mileage and the selling price as correct answer data, input the vehicle information of vehicle C and the expected elapsed years / mileage into the model, and the expected elapsed years / travel as an output. The selling price of the vehicle C according to the distance (future resale price of the vehicle C) may be acquired.

Further, in reality, the information providing device 100 may include owner information. For example, the information providing device 100 is used in the model after learning the owner information of the target vehicle, the vehicle information, the elapsed years / mileage, and the selling price as correct answer data in the model constructed through machine learning. Enter the owner information of person U, the vehicle information of vehicle C, and the expected elapsed years / mileage, and the selling price of vehicle C according to the expected elapsed years / mileage as an output (future resale of vehicle C). Price) may be obtained.

Further, the information providing device 100 has a model constructed through machine learning learn the vehicle information (or an image) of the target vehicle, the elapsed years / mileage, and the price collapse rate (price decline rate) as correct answer data. In the above, the vehicle information of the vehicle C and the expected elapsed years / mileage may be input to the model, and the price collapse rate of the vehicle C according to the expected elapsed years / mileage as an output may be acquired.

Further, the information providing device 100 estimates the maximum amount (budget) that the user U can tolerate based on the owner information regarding the annual income and the payment history (expenditure) of the user U, and the current selling price and future resale. Vehicles whose difference (difference) from the price is within the estimated limit (budget) may be presented. In reality, the information providing device 100 may present a vehicle in which the difference between the current selling price and the future resale price slightly exceeds (exceeds) the range of the estimated limit amount (budget).

Further, the information providing device 100 may calculate a score (score regarding the difference, etc.) indicating a vehicle that sells high in the future for each vehicle type, and present the vehicle type in descending order of the score. Vehicles with a high score are, for example, vehicles with a low rate of price collapse, vehicles with a high resale price, and the like. Here, in order to estimate the price collapse rate and resale price for each model, the popularity of the model in the used car market (whether it is a popular model or not) and the difficulty of obtaining it in a new car (the number of manufactured vehicles is limited, already). It may take a long time to deliver the vehicle, which has been discontinued).

The vehicle is not limited to a four-wheeled vehicle and may be a two-wheeled vehicle. That is, the user U is not limited to the car owner, but may be a motorcycle owner. In addition, the vehicle is just one example of a property that can be sold or replaced. Actually, as long as there is a secondary secondary market, not only vehicles but also various types of animals, real estate, etc. may be used. For example, it may be a house, a brand-name product, a home appliance, or the like.

[1-1. Vehicle search method at real cost]
Here, with reference to FIG. 1, a vehicle search method at a real cost according to a user's budget will be described.

As shown in FIG. 1, the information providing device 100 receives a request for a vehicle search according to a budget from the terminal device 10 of the user U via the network N (see FIG. 3) (step S1). At this time, when the information providing device 100 receives the input of the information related to the budget from the terminal device 10 of the user U, it may be determined that the request for the vehicle search according to the budget has been received.

Subsequently, the information providing device 100 acquires the current selling price of the vehicle (target vehicle) that can be the purchase target (search target) of the user U (step S2). At this time, the information providing device 100 may acquire the current selling price of each vehicle, or may acquire the current selling price for each vehicle type.

Subsequently, the information providing device 100 estimates the expected future purchase price (trade-in price, resale price, market price) of the target vehicle (step S3). At this time, the information providing device 100 estimates the future purchase estimated amount of the target vehicle on the assumption that the target vehicle has been used for the same number of years (for example, 3 years). The estimated future purchase price will vary depending on the model, grade, model year / elapsed years, mileage, etc. Therefore, the information providing device 100 may estimate the future purchase estimated amount of the target vehicle in consideration of the vehicle type, grade, model year / elapsed years, mileage, and the like. In reality, the information providing device 100 may acquire information on the expected future purchase amount of the target vehicle from an external site or the like via the network N (see FIG. 3). That is, it may be an external site or the like that estimates the future purchase estimated amount of the target vehicle instead of the information providing device 100.

Subsequently, the information providing device 100 calculates a difference (difference) between the current selling price of the target vehicle and the expected future purchase price (step S4).

Subsequently, the information providing device 100 lists, among the target vehicles, the vehicles whose real cost is within the budget of the user U, using the calculated difference (difference) as the real cost (step S5). In reality, the information providing device 100 may list vehicles whose actual costs slightly exceed the budget of the user U, based on the budget of the user U. The extent to which the budget is allowed to be exceeded is arbitrary. For example, the information providing device 100 may set in advance an amount that can be exceeded with respect to the budget. Alternatively, the information providing device 100 may set a range of excess (surcharge) with respect to the budget of the user U based on the attribute information of the user U, a person image (persona), or the like, or the user U may set the excess amount. You may try to estimate how much excess you allow.

Subsequently, the information providing device 100 presents the listed vehicle to the terminal device 10 of the user U via the network N (see FIG. 3) (step S6). That is, the information providing device 100 presents the user U with a vehicle whose actual cost meets the budget conditions.

In reality, the process of step S1 may be executed after the process of steps S2 to S4. That is, the information providing device 100 calculates the difference (difference) between the current selling price of the target vehicle and the expected future purchase amount in advance (regularly), and uses the calculated difference (difference) as the target vehicle. It may be managed (registered / renewed) as a real cost. Then, when the information providing device 100 receives the vehicle search request according to the budget from the terminal device 10 of the user U, the information providing device 100 lists the vehicles whose actual cost is within the budget of the user U. May be good.

[1-2. How to propose a vehicle purchase at a real cost]
Next, with reference to FIG. 2, a vehicle purchase proposal method at a real cost based on the registration information from the user will be described.

As shown in FIG. 1, the information providing device 100 obtains owner information (user information) regarding the user U who is a car owner from the terminal device 10 of the user U via the network N (see FIG. 3). The vehicle information (property information) regarding the vehicle C owned by the user U is acquired, and the information is registered / updated (step S11). For example, the information providing device 100 is based on the information input from the user U on the dedicated page (for example, the private car page) in which the vehicle C (owned vehicle) owned by the user U who is the car owner is registered. Or, based on the information acquired in cooperation with various servers, the owner information (user information) and the vehicle information (property information) are registered / updated.

Subsequently, the information providing device 100 estimates the budget that the user U can allocate to the purchase of a new vehicle from the owner information regarding the annual income, the payment history, and the like (step S12). In reality, the information providing device 100 may receive information regarding a budget that can be allocated to vehicle purchase from the terminal device 10 of the user U via the network N (see FIG. 3). Further, the information providing device 100 may receive a vehicle search request according to the budget from the terminal device 10 of the user U.

Subsequently, the information providing device 100 uses the owner information including the driving information of the user U and the vehicle information indicating the specifications / state of the vehicle owned by the user U (vehicle C) to indicate the current state of the vehicle owned by the user U. The estimated purchase price is estimated (step S13).

Subsequently, the information providing device 100 acquires the current selling price of the vehicle (target vehicle) that can be the purchase target (search target) of the user U (step S14). At this time, the information providing device 100 may acquire the current selling price of each vehicle, or may acquire the current selling price for each vehicle type.

Subsequently, the information providing device 100 estimates the expected future purchase price (trade-in price, resale price, market price) of the target vehicle (step S15). At this time, the information providing device 100 estimates the future purchase estimated amount of the target vehicle on the assumption that the target vehicle has been used for the same number of years (for example, 3 years).

Subsequently, the information providing device 100 calculates a difference (difference) obtained by subtracting the future purchase forecast amount of the target vehicle and the current purchase forecast amount of the owned vehicle from the current selling price of the target vehicle (step S16). ). That is, the current selling price of the target vehicle-the expected future purchase amount of the target vehicle-the current expected purchase amount of the owned vehicle = the difference (difference).

Subsequently, the information providing device 100 lists, among the target vehicles, the vehicles whose real cost is within the budget of the user U, using the calculated difference (difference) as the real cost (step S17).

Subsequently, the information providing device 100 presents the listed vehicle to the terminal device 10 of the user U via the network N (see FIG. 3) (step S18). That is, the information providing device 100 presents the user U with a vehicle that can be purchased at a substantial cost.

Here, the above processing is not limited to the search for a vehicle according to the real cost including the resale price, and may be a vehicle transfer simulation according to the estimated budget.

In reality, the processes of steps S11 to S13 may be executed after the processes of steps S14 to S15. That is, the information providing device 100 calculates the difference (difference) between the current selling price of the target vehicle and the expected future purchase amount in advance (regularly), and manages (registers) the calculated difference (difference). / Update) may be done. Then, the information providing device 100 executes the processes of steps S11 to S13 at an arbitrary timing, and then calculates the real cost by subtracting the current expected purchase amount of the owned vehicle from the managed difference (difference). Among the target vehicles, the vehicles whose actual cost is within the budget of the user U may be listed.

Further, the vehicle search method at the real cost shown in FIG. 1 and the vehicle purchase proposal method at the real cost shown in FIG. 2 may be appropriately combined and carried out.

[2. Information processing system configuration example]
Next, the configuration of the information processing system 1 including the information providing device 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. As shown in FIG. 3, the information processing system 1 according to the embodiment includes a terminal device 10 and an information providing device 100. These various devices are connected so as to be communicable by wire or wirelessly via the network N. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

Further, the number of each device included in the information processing system 1 shown in FIG. 3 is not limited to that shown in the figure. For example, in FIG. 3, for simplification of the illustration, only one terminal device 10 is shown, but this is merely an example and is not limited, and may be two or more.

The terminal device 10 is an information processing device used by the user U. For example, the terminal device 10 includes smart devices such as smartphones and tablet terminals, feature phones, PCs (Personal Computers), PDAs (Personal Digital Assistants), game machines and AV devices having communication functions, car navigation systems, smart watches, and the like. Wearable devices such as head-mounted displays, smart glasses, etc.

Further, the terminal device 10 includes a wireless communication network such as LTE (Long Term Evolution), 4G (4th Generation), 5G (5th Generation: 5th generation mobile communication system), Bluetooth (registered trademark), and wireless LAN (Local). It can be connected to the network N via short-range wireless communication such as Area Network) and communicate with the information providing device 100.

The information providing device 100 is, for example, a PC, a server device, a mainframe, a workstation, or the like. The information providing device 100 may be realized by cloud computing.

[3. Configuration example of terminal device]
Next, the configuration of the terminal device 10 will be described with reference to FIG. FIG. 4 is a diagram showing a configuration example of the terminal device 10. As shown in FIG. 4, the terminal device 10 includes a communication unit 11, a display unit 12, an input unit 13, a positioning unit 14, a sensor unit 20, a control unit 30 (controller), and a storage unit 40. Be prepared.

(Communication unit 11)
The communication unit 11 is connected to the network N (see FIG. 3) by wire or wirelessly, and transmits / receives information to / from the information providing device 100 via the network N. For example, the communication unit 11 is realized by a NIC (Network Interface Card), an antenna, or the like.

(Display unit 12)
The display unit 12 is a display device that displays various information such as position information. For example, the display unit 12 is a liquid crystal display (LCD) or an organic EL display (Organic Electro-Luminescent Display). Further, the display unit 12 is a touch panel type display, but the display unit 12 is not limited thereto.

(Input unit 13)
The input unit 13 is an input device that receives various operations from the user U. For example, the input unit 13 has buttons and the like for inputting characters, numbers, and the like. The input unit 13 may be an input / output port (I / O port), a USB (Universal Serial Bus) port, or the like. When the display unit 12 is a touch panel type display, a part of the display unit 12 functions as an input unit 13. Further, the input unit 13 may be a microphone or the like that receives voice input from the user U. The microphone may be wireless.

(Positioning unit 14)
The positioning unit 14 receives a signal (radio wave) transmitted from a GPS (Global Positioning System) satellite, and based on the received signal, position information (for example, latitude) indicating the current position of the terminal device 10 which is its own device. And longitude). That is, the positioning unit 14 positions the terminal device 10. GPS is only an example of GNSS (Global Navigation Satellite System).

In addition, the positioning unit 14 can position the position by various methods other than GPS. For example, the positioning unit 14 may position the position by using various communication functions of the terminal device 10 as an auxiliary positioning means for position correction or the like as described below.

(Wi-Fi positioning)
For example, the positioning unit 14 positions the position of the terminal device 10 by using the Wi-Fi (registered trademark) communication function of the terminal device 10 or the communication network provided by each communication company. Specifically, the positioning unit 14 determines the position of the terminal device 10 by performing Wi-Fi communication or the like and measuring the distance to a nearby base station or access point.

(Beacon positioning)
Further, the positioning unit 14 may position the position by using the Bluetooth (registered trademark) function of the terminal device 10. For example, the positioning unit 14 positions the terminal device 10 by connecting to a beacon transmitter connected by the Bluetooth (registered trademark) function.

(Geomagnetic positioning)
Further, the positioning unit 14 positions the position of the terminal device 10 based on the geomagnetic pattern of the structure measured in advance and the geomagnetic sensor included in the terminal device 10.

(RFID positioning)
Further, for example, when the terminal device 10 has an RFID (Radio Frequency Identification) tag function equivalent to a contactless IC card used in a station ticket gate, a store, or the like, or has a function of reading an RFID tag. In this case, the used position is recorded together with the information that the payment or the like has been made by the terminal device 10. The positioning unit 14 may position the position of the terminal device 10 by acquiring such information. Further, the position may be determined by an optical sensor included in the terminal device 10, an infrared sensor, or the like.

The positioning unit 14 may position the position of the terminal device 10 by using one or a combination of the above-mentioned positioning means, if necessary.

(Sensor unit 20)
The sensor unit 20 includes various sensors mounted on or connected to the terminal device 10. The connection may be a wired connection or a wireless connection. For example, the sensors may be a detection device other than the terminal device 10, such as a wearable device or a wireless device. In the example shown in FIG. 4, the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, a pressure sensor 23, a temperature sensor 24, a sound sensor 25, an optical sensor 26, a magnetic sensor 27, and an image sensor ( It is equipped with a camera) 28.

It should be noted that the above-mentioned sensors 21 to 28 are merely examples and are not limited thereto. That is, the sensor unit 20 may be configured to include a part of the sensors 21 to 28, or may include other sensors such as a humidity sensor in addition to or in place of the sensors 21 to 28. ..

The acceleration sensor 21 is, for example, a 3-axis acceleration sensor, and detects the physical movement of the terminal device 10 such as the moving direction, the speed, and the acceleration of the terminal device 10. The gyro sensor 22 detects the physical movement of the terminal device 10 such as the inclination in the triaxial direction based on the angular velocity of the terminal device 10 and the like. The barometric pressure sensor 23 detects, for example, the barometric pressure around the terminal device 10.

Since the terminal device 10 includes the above-mentioned acceleration sensor 21, gyro sensor 22, pressure sensor 23, etc., technologies such as pedestrian autonomous navigation (PDR) using each of these sensors 21 to 23, etc. It becomes possible to determine the position of the terminal device 10 by using. This makes it possible to acquire indoor position information, which is difficult to acquire with a positioning system such as GPS.

For example, a pedometer using an acceleration sensor 21 can calculate the number of steps, the walking speed, and the walking distance. Further, the gyro sensor 22 can be used to know the traveling direction of the user U, the direction of the line of sight, and the inclination of the body. Further, from the atmospheric pressure detected by the atmospheric pressure sensor 23, it is possible to know the altitude at which the terminal device 10 of the user U exists and the number of floors of the floor.

The air temperature sensor 24 detects, for example, the air temperature around the terminal device 10. The sound sensor 25 detects, for example, the sound around the terminal device 10. The optical sensor 26 detects the illuminance around the terminal device 10. The magnetic sensor 27 detects, for example, the geomagnetism around the terminal device 10. The image sensor 28 captures an image of the surroundings of the terminal device 10.

The barometric pressure sensor 23, the temperature sensor 24, the sound sensor 25, the optical sensor 26, and the image sensor 28, respectively, detect the barometric pressure, the temperature, the sound, and the illuminance, and capture an image of the surroundings, so that the terminal device 10 It is possible to detect the surrounding environment and situation of. Further, it is possible to improve the accuracy of the position information of the terminal device 10 from the surrounding environment and the situation of the terminal device 10.

(Control unit 30)
The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM, an input / output port, and various circuits. Further, the control unit 30 may be configured by hardware such as an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 30 includes a transmission unit 31, a reception unit 32, and a processing unit 33.

(Transmitting unit 31)
The transmission unit 31 is positioned by, for example, various information input by the user U using the input unit 13, various information detected by the sensors 21 to 28 mounted on or connected to the terminal device 10, and the positioning unit 14. The position information and the like of the terminal device 10 can be transmitted to the information providing device 100 via the communication unit 11.

(Receiver 32)
The receiving unit 32 can receive various information provided by the information providing device 100 and requests for various information from the information providing device 100 via the communication unit 11.

(Processing unit 33)
The processing unit 33 controls the entire terminal device 10 including the display unit 12 and the like. For example, the processing unit 33 can output various information transmitted by the transmitting unit 31 and various information received by the receiving unit 32 from the information providing device 100 to the display unit 12 for display.

(Memory unit 40)
The storage unit 40 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), or an optical disk. To. Various programs, various data, and the like are stored in the storage unit 40.

[4. Configuration example of information providing device]
Next, the configuration of the information providing device 100 according to the embodiment will be described with reference to FIG. FIG. 5 is a diagram showing a configuration example of the information providing device 100 according to the embodiment. As shown in FIG. 5, the information providing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Further, the communication unit 110 is connected to the network N (see FIG. 3) by wire or wirelessly.

(Memory unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. As shown in FIG. 5, the storage unit 120 has a user information database 121, a history information database 122, and a vehicle information database 123.

(User information database 121)
The user information database 121 stores user information regarding the user U. For example, the user information database 121 stores various information such as the attributes of the user U. FIG. 6 is a diagram showing an example of the user information database 121. In the example shown in FIG. 6, the user information database 121 has items such as "user ID (Identifier)", "age", "gender", "home", "work location", and "vehicle ID".

The "user ID" indicates identification information for identifying the user U. The "user ID" may be the contact information (telephone number, e-mail address, etc.) of the user U, or may be identification information for identifying the terminal device 10 of the user U.

Further, "age" indicates the age of the user U identified by the user ID. The "age" may be information indicating a specific age of the user U (for example, 35 years old) or information indicating the age of the user U (for example, 30s). .. Alternatively, the "age" may be information indicating the date of birth of the user U, or may be information indicating the generation of the user U (for example, born in the 1980s). Further, "gender" indicates the gender of the user U identified by the user ID.

Further, "home" indicates the location information of the home of the user U identified by the user ID. In the example shown in FIG. 6, "home" is illustrated with an abstract reference numeral such as "LC11", but may be latitude / longitude information or the like. Further, for example, "home" may be a region name or an address.

Further, the "work location" indicates the location information of the work location (school in the case of a student) of the user U identified by the user ID. In the example shown in FIG. 6, the “work location” is illustrated with an abstract code such as “LC12”, but may be latitude / longitude information or the like. Further, for example, the "work location" may be a region name or an address.

Further, the "vehicle ID" indicates identification information for identifying the vehicle C owned by the user U identified by the user ID. For example, the "vehicle ID" may be an identification number arbitrarily assigned to the vehicle C by the information providing device 100 or an external server, or may be a vehicle registration number, a vehicle number, a chassis number, or the like. .. In the example shown in FIG. 6, one "vehicle ID" is shown for each user U, but there may be a plurality of "vehicle IDs". That is, one user U may own a plurality of vehicles C.

For example, in the example shown in FIG. 6, the age of the user U identified by the user ID "U1" is "20's", and the gender is "male". Further, for example, the user U identified by the user ID "U1" indicates that the home is "LC11". Further, for example, the user U identified by the user ID "U1" indicates that the work location is "LC12". Further, for example, the user U identified by the user ID "U1" indicates that he / she owns the vehicle C identified by the vehicle ID "vehicle # 1".

Here, in the example shown in FIG. 6, abstract values such as “U1”, “LC11”, “LC12”, and “vehicle # 1” are used for illustration, but “U1”, “LC11”, and “LC12”. And "Vehicle # 1" shall store information such as specific character strings and numerical values. Hereinafter, abstract values may be illustrated also in figures relating to other information.

The user information database 121 is not limited to the above, and various information may be stored depending on the purpose. For example, the user information database 121 may store various information about the terminal device 10 of the user U. In addition, the user information database 121 includes demographics (demographic attributes), psychographics (psychological attributes), geographics (geographical attributes), behavioral attributes (behavioral attributes), etc. of the user U. Information about the attribute may be stored. For example, the user information database 121 includes name, family structure, place of origin (local), occupation, position, income, qualification, living style (detached house, apartment, etc.), presence / absence of a car, commuting time, commuting to school / commuting. Memorize information such as routes, commuter pass sections (stations, routes, etc.), frequently used stations (other than the nearest station to your home / work location), lessons (location, time zone, etc.), hobbies, interests, lifestyle, etc. You may.

(History information database 122)
The history information database 122 stores various information related to history information (log data) indicating the behavior of the user U. FIG. 7 is a diagram showing an example of the history information database 122. In the example shown in FIG. 7, the history information database 122 has items such as "user ID", "location history", "search history", "browsing history", "purchasing history", and "posting history".

The "user ID" indicates identification information for identifying the user U. Further, the "position history" indicates a position history which is a history of the position and movement of the user U. Further, the "search history" indicates a search history that is a history of search queries entered by the user U. Further, the "browsing history" indicates the browsing history, which is the history of the content browsed by the user U. Further, the "purchase history" indicates a purchase history which is a purchase history by the user U. Further, the "posting history" indicates a posting history which is a posting history by the user U. The "posting history" may include a question regarding the property of the user U.

For example, in the example shown in FIG. 7, the user U identified by the user ID "U1" moves according to "location history # 1", searches according to "search history # 1", and "views". It indicates that the content is browsed according to "History # 1", a predetermined product or the like is purchased at a predetermined store or the like according to "Purchase history # 1", and the content is posted according to "Posting history".

Here, in the example shown in FIG. 7, abstractions such as "U1", "position history # 1", "search history # 1", "browsing history # 1", "purchasing history # 1", and "posting history # 1" are used. Although it is illustrated using a specific value, "U1", "position history # 1", "search history # 1", "browsing history # 1", "purchasing history # 1", and "posting history # 1" , Specific information such as character strings and numerical values shall be stored.

The history information database 122 is not limited to the above, and various information may be stored depending on the purpose. For example, the history information database 122 may store the usage history of a predetermined service of the user U. Further, the history information database 122 may store the visit history of the actual store of the user U, the visit history of the facility, and the like. Further, the history information database 122 may store the payment history and the like in the payment (electronic payment) using the terminal device 10 of the user U.

(Vehicle information database 123)
The vehicle information database 123 stores various information about the vehicle (vehicle C) owned by the user U. FIG. 8 is a diagram showing an example of the vehicle information database 123. In the example shown in FIG. 8, the vehicle information database 123 has items such as "vehicle ID", "vehicle type", "aged years", "mileage", "vehicle condition", and "maintenance record".

"Vehicle ID" indicates identification information for identifying a vehicle. In addition, "vehicle type" indicates the vehicle type, use, model, year, class, etc. of the vehicle. Furthermore, the "vehicle type" includes the elapsed years of gasoline-powered vehicles / plug-in hybrid vehicles (PHVs) / electric vehicles, etc., and domestic / imported / foreign / light / compact / classic vehicles (formerly). It may include information on the classification of a car) / luxury car / sports car / custom car (modified car) / camping car / overnight car.

In addition, "elapsed years" indicates the elapsed years of the vehicle. For example, "aged years" indicates the model year of the vehicle. Alternatively, the "elapsed years" may indicate the elapsed years from the start (purchase) of the user U in the vehicle to the present.

Further, the "mileage" indicates the mileage of the vehicle. The "mileage" may be information on the mileage electronically obtained from the vehicle. In addition, a car with an extremely short mileage compared to the model year may have been left unmoved for a long time, or the data may have been tampered with, so it should be added to the evaluation of the car. May be good.

Further, the "vehicle condition" indicates the vehicle condition (dent, presence / absence of scratches, etc.) of the vehicle. The "vehicle state" may include an image of the vehicle. For example, the image of the vehicle may include an image (still image, moving image, etc.) of the entire vehicle and each part, a three-dimensional model (3D model), and the like. In addition, the driving frequency of the user U (such as XX times a month) and the purpose of use (business use, commuting / school use, daily / leisure use, etc.) may be added to the vehicle state of the vehicle.

Further, the "maintenance record" indicates the maintenance record of the vehicle. For example, the "maintenance record" may include a history of work such as vehicle repair, maintenance, painting, sheet metal, maintenance / inspection (maintenance), modification (customization), parts replacement / installation, and the like.

For example, in the example shown in FIG. 8, the vehicle identified by the vehicle ID "vehicle # 1" is the vehicle type "vehicle type # 1", the elapsed years are "3 years", and the mileage is "30,000 km". , "Vehicle condition # 1", indicating that "maintenance record # 1" is left.

Here, in the example shown in FIG. 8, abstract values such as “vehicle # 1”, “vehicle type # 1”, “vehicle condition # 1”, and “maintenance record # 1” are used for illustration, but “vehicle # 1”. Information such as specific character strings and numerical values shall be stored in "1", "vehicle type # 1", "vehicle condition # 1" and "maintenance record # 1".

The vehicle information database 123 is not limited to the above, and various information may be stored depending on the purpose. For example, the vehicle information database 123 may store identification information (user ID) for identifying the user U who is the owner (car owner) of the vehicle. Further, the vehicle information database 123 may store special notes regarding the vehicle. Further, the vehicle information database 123 may store various information such as the vehicle purchase shop (acquisition route), purchase price, vehicle inspection expiration date, and voluntary insurance maturity.

Further, the vehicle information database 123 may store information about a vehicle (target vehicle) that can be a purchase target (search target) of the user U. Further, the vehicle information database 123 may store information on the current selling price of the vehicle, the future (several years later) resale price (resale price), and the real cost which is the difference (difference) thereof.

(Control unit 130)
Returning to FIG. 5, the explanation will be continued. The control unit 130 is a controller, and is an information providing device 100 by, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like. It is realized by executing various programs (corresponding to an example of an information processing program) stored in the internal storage device of the ASIC with a storage area such as a RAM as a work area. In the example shown in FIG. 5, the control unit 130 includes an acquisition unit 131, a management unit 132, an estimation unit 133, a search unit 134, and a provision unit 135.

(Acquisition unit 131)
The acquisition unit 131 acquires the search query input by the user U. For example, when the user U inputs a search query into a search engine or the like and performs a keyword search, the acquisition unit 131 acquires the search query via the communication unit 110. The keyword may be a budget that can be allocated to the purchase of the vehicle of the user U, a condition of the vehicle that the user wishes to purchase, and the like.

Further, the acquisition unit 131 acquires user information regarding the user U via the communication unit 110. For example, the acquisition unit 131 acquires identification information (user ID, etc.) indicating the user U, position information of the user U, attribute information of the user U, and the like from the terminal device 10 of the user U. Further, the acquisition unit 131 may acquire identification information indicating the user U, attribute information of the user U, and the like at the time of user registration of the user U. Then, the acquisition unit 131 registers the user information in the user information database 121 of the storage unit 120.

Further, the acquisition unit 131 acquires various history information (log data) indicating the behavior of the user U via the communication unit 110. For example, the acquisition unit 131 acquires various history information indicating the behavior of the user U from the terminal device 10 of the user U or from various servers or the like based on the user ID or the like. Then, the acquisition unit 131 registers various history information in the history information database 122 of the storage unit 120.

Further, the acquisition unit 131 acquires vehicle information regarding the vehicle owned by the user U via the communication unit 110. Further, the acquisition unit 131 acquires information on a vehicle (target vehicle) that can be purchased by the user U via the communication unit 110. For example, the acquisition unit 131 acquires information on the current selling price of the target vehicle from an external site (search site, used car sales site) or the like via the network N (see FIG. 3). At this time, the acquisition unit 131 may acquire the expected future purchase price of the vehicle as well as the current selling price of the vehicle from an external site or the like via the network N (see FIG. 3). Then, the acquisition unit 131 registers the vehicle information in the vehicle information database 123 of the storage unit 120.

In addition, the acquisition unit 131 acquires information on the budget that can be allocated to the vehicle purchase of the user U. Further, the acquisition unit 131 may acquire information regarding desired conditions (desired conditions of user U) regarding vehicles (target vehicles) that can be purchased by user U via the communication unit 110.

(Management Department 132)
The management unit 132 manages the attribute information and the history information of the user U. In addition, the management unit 132 manages vehicle information regarding the vehicle owned by the user U. For example, the management unit 132 manages the user information registered in the user information database 121 of the storage unit 120 and various history information registered in the history information database 122 of the storage unit 120. Further, the management unit 132 manages the vehicle information registered in the vehicle information database 123 of the storage unit 120.

(Estimation unit 133)
The estimation unit 133 estimates the estimated future purchase amount of the target vehicle. Further, the estimation unit 133 estimates the difference between the current selling price of the target vehicle and the expected future purchase amount as a real cost. For example, the estimation unit 133 estimates the difference between the current selling price of the target vehicle and the estimated future purchase amount of the target vehicle and the current expected purchase amount of the vehicle owned by the user U as the real cost.

Further, the estimation unit 133 estimates the budget that can be allocated to the vehicle purchase of the user U based on the attribute information and the history information of the user U. At this time, the estimation unit 133 purchases the vehicle of the user U when the attribute information and the history information of the user U are registered or updated, or periodically based on the attribute information and the history information of the user U. Estimate the budget that can be allocated to.

Further, the estimation unit 133 estimates the current estimated purchase amount of the vehicle owned by the user U based on the attribute information and the history information of the user U and the vehicle information regarding the vehicle owned by the user U.

In addition, the estimation unit 133 determines the future purchase forecast amount of the target vehicle and the user U from the current selling price of the target vehicle when the vehicle information regarding the vehicle owned by the user U is registered or updated, or periodically. The difference from the current estimated purchase price of the vehicle owned by the company is estimated as the real cost.

Further, the estimation unit 133 uses the desired conditions (use) for the vehicle (target vehicle) that can be purchased by the user U based on the attribute information and history information of the user U and the vehicle information regarding the vehicle owned by the user U. The desired condition of person U) may be estimated.

In addition, the estimation unit 133 may execute a transfer simulation for a target vehicle that can be purchased at a real cost.

(Search unit 134)
The search unit 134 searches for a target vehicle whose actual cost is in a predetermined price range. The predetermined price range may be within the budget that can be allocated to the purchase of the vehicle by the user U. For example, the search unit 134 may narrow down the target vehicles that can be purchased (narrow-down search) based on the budget and the actual cost of the user U. In reality, the search unit 134 may search for the target vehicle whose actual cost slightly exceeds the budget based on the budget of the user U. Alternatively, the predetermined price range does not have to be within the budget that can be allocated to the purchase of the vehicle by the user U. That is, the search unit 134 may search for a target vehicle whose actual cost is in a predetermined price range, not limited to the budget that can be allocated to the vehicle purchase. This makes it possible to search for a vehicle whose actual cost is in the price range, even if the vehicle is not necessarily a vehicle that can be purchased by the user U.

(Providing section 135)
The providing unit 135 presents the information about the target vehicle to the user U together with the actual cost. For example, the provision unit 135 presents the current selling price of the target vehicle, the estimated future purchase amount, and the real cost together with the information about the target vehicle.

At this time, the providing unit 135 may present the expected future purchase amount and the actual cost for each elapsed year. If the expected future purchase price changes over the years, the real cost will also change over the years. For example, if the current selling price of the target vehicle is "5 million yen", the estimated purchase price one year later is "4 million yen", and the estimated purchase price two years later is "3 million yen". The actual cost of purchasing the target vehicle and selling it one year later is "1 million yen" (= 5 million yen-4 million yen), and the actual cost of selling it two years later is "2 million yen" (= 500 yen). It will be 10,000 yen-3 million yen). By presenting these, it becomes possible to establish a policy of selling the target vehicle in the elapsed years, which is the actual cost according to the budget of the user U.

Further, the providing unit 135 presents the user U with information on the target vehicle whose actual cost is within the budget.

Further, the providing unit 135 presents the information regarding the target vehicle whose actual cost is in the predetermined price range to the user U based on the search result by the search unit 134. The predetermined price range may or may not be within the budget range that can be allocated to the vehicle purchase of the user U.

Further, the providing unit 135 presents the information about the target vehicle to the user U together with the real cost even if the target vehicle has a real cost exceeding the budget that can be allocated to the vehicle purchase of the user U.

In addition, the provider 135 presents the result of a transfer simulation for a target vehicle that can be purchased at a real cost.

[5. Processing procedure]
Next, the processing procedure by the information providing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 9 is a flowchart showing a processing procedure according to the embodiment. The processing procedure shown below is repeatedly executed by the control unit 130 of the information providing device 100.

As shown in FIG. 9, the acquisition unit 131 of the information providing device 100 acquires information regarding a budget that can be allocated to the vehicle purchase of the user U via the communication unit 110 (step S101). In reality, the acquisition unit 131 may acquire the attribute information and history information of the user U via the communication unit 110. At this time, the estimation unit 133 of the information providing device 100 may estimate the budget that can be allocated to the vehicle purchase of the user U based on the attribute information and the history information of the user U.

Subsequently, the acquisition unit 131 of the information providing device 100 acquires the desired conditions (desired conditions of the user U) regarding the vehicle (target vehicle) that can be purchased by the user U via the communication unit 110 (step S102). ). For example, the acquisition unit 131 acquires desired conditions such as a vehicle model, grade, model year, and mileage desired by the user U. In reality, the acquisition unit 131 may acquire the attribute information and history information of the user U via the communication unit 110. At this time, the estimation unit 133 of the information providing device 100 is a vehicle (target vehicle) that can be purchased by the user U based on the attribute information and the history information of the user U and the vehicle information regarding the vehicle owned by the user U. ) May be estimated (user U's desired condition).

Subsequently, the acquisition unit 131 of the information providing device 100 acquires information on the selling price of the vehicle (target vehicle) that can be the purchase target (search target) of the user U via the communication unit 110 (step S103).

Subsequently, the estimation unit 133 of the information providing device 100 estimates the future purchase estimated amount of the target vehicle (step S104). Actually, the acquisition unit 131 of the information providing device 100 may acquire information on the future purchase estimated amount of the target vehicle from an external server or the like via the communication unit 110.

Subsequently, the estimation unit 133 of the information providing device 100 determines the current estimated purchase amount of the vehicle owned by the user U based on the attribute information and the history information of the user U and the vehicle information regarding the vehicle owned by the user U. Is estimated (step S105). In reality, the acquisition unit 131 of the information providing device 100 may acquire information on the current estimated purchase price of the vehicle owned by the user U from an external server or the like via the communication unit 110.

Subsequently, the estimation unit 133 of the information providing device 100 divides the difference between the current selling price of the target vehicle and the expected future purchase amount of the target vehicle and the current expected purchase amount of the vehicle owned by the user U into the actual cost. Is estimated as (step S106). If the user U does not own the vehicle, if the user U does not plan to sell the currently owned vehicle, or if the user U purchases the currently owned vehicle at a real cost. Does not include the current estimated purchase price of the vehicle owned by the user U, and the estimation unit 133 estimates the difference obtained by subtracting the future purchase forecast value of the target vehicle from the current selling price of the target vehicle as the real cost. You may.

Subsequently, the search unit 134 of the information providing device 100 searches for a target vehicle that can be purchased at a substantial cost (step S107). Here, the search unit 134 of the information providing device 100 searches for a target vehicle whose actual cost is within the budget. In reality, the search unit 134 may search for a target vehicle whose actual cost slightly exceeds the budget range. Further, the estimation unit 133 of the information providing device 100 may execute a transfer simulation for a target vehicle that can be purchased at a real cost.

Subsequently, the providing unit 135 of the information providing device 100 presents to the user U information about the target vehicle that can be purchased at a real cost based on the search result by the search unit 134 (step S108). Here, the providing unit 135 presents to the user U information about the target vehicle whose actual cost is within the budget range, based on the search result by the search unit 134. In reality, the providing unit 135 may present information about the target vehicle to the user U together with the real cost even if the target vehicle has a real cost exceeding the budget. In addition, the provider 135 may present the result of a transfer simulation for a target vehicle that can be purchased at a real cost.

This makes it possible to present a vehicle that can be purchased at a real cost. For example, if the user's budget is "2 million yen", the future purchase amount (and possession) is expected even if the selling price is "5 million yen" instead of the vehicle with the selling price "2 million yen". It is also possible to present a vehicle that can be purchased at a price of "3 million yen" (total amount with the current estimated purchase price of the vehicle) and a real cost of "2 million yen".

[6. Modification example]
The terminal device 10 and the information providing device 100 described above may be implemented in various different forms other than the above-described embodiment. Therefore, a modified example of the embodiment will be described below.

In the above embodiment, a part or all of the processing executed by the information providing device 100 may actually be executed by the terminal device 10. For example, the process may be completed stand-alone (with the terminal device 10 alone). In this case, it is assumed that the terminal device 10 is provided with the function of the information providing device 100 in the above embodiment. Further, in the above embodiment, since the terminal device 10 is linked with the information providing device 100, it seems that the terminal device 10 is also executing the processing of the information providing device 100 from the user U's point of view. That is, from another point of view, it can be said that the terminal device 10 includes the information providing device 100.

Further, in the above embodiment, the object that can be searched by the information providing device 100 at the actual cost including the resale price is not limited to the vehicle of the user U, but is the property of the user U other than the vehicle. May be good. For example, the property of user U is a small vessel (pleasure boat, motor boat, yacht, personal watercraft (watercraft), jet ski, etc.), bicycle (city cycle, electric bicycle, road bike, mountain bike, folding bicycle, etc.). , Sporting goods (golf, surfing, snowboarding, skiing, tennis equipment, etc.), Instruments (guitar, bass amp, drum, piano / electronic piano, string instruments, wind instruments / wind instruments, etc.), outdoor equipment (camping equipment, barbecue equipment, etc.) Canoe / kayak etc.), fishing tackle (rod (fishing rod), reel, lure, etc.), luxury watch, brand bag / accessory, jewelry / accessories, astronomical telescope / binoculars, camera / lens, personal computer (PC) / smartphone / game machine, Unmanned Aerial Vehicle (UAV) such as Drone, art / art works, antiques (antique), vintage (vintage), collections / collections, toys / figures, etc. -It may be an object that has recycling demand or an aftermarket.

Alternatively, the property of user U is real estate (detached houses, apartment houses, offices / offices, stores, warehouses, etc.) and equipment, large household appliances (AV equipment, refrigerators, washing machines, air conditioners, massage chairs, etc.), luxury furniture.・ Imported furniture (sofa, table / chair, lamp / lighting, mirror, figurine, bed, storage furniture, etc.), office furniture / office equipment, store fixtures, second-hand markets other than the above, objects with recycling demand, etc. May be good. Equipment includes sanitary equipment (washbasin, shower, bath, toilet, etc.), water supply equipment, drainage equipment, electrical equipment, gas equipment, kitchen equipment (sink, stove, etc.), communication equipment (antenna, communication line, etc.), etc. ..

[7. effect〕
As described above, the information processing device (terminal device 10 and information providing device 100) according to the present application includes an acquisition unit 131 for acquiring information on a selling price of an object (target vehicle, etc.) and a selling price of the object. It includes an estimation unit 133 that estimates the real cost based on the estimated future purchase amount, and a provision unit 135 that presents information about the object together with the real cost. The object may be an object whose actual cost exceeds the budget that can be allocated to the purchase of the object by the user U (object with a price of budget + α). Further, in reality, the object may be one that can be purchased at an amount (real cost + α) obtained by adding various costs to the real cost.

For example, the acquisition unit 131 acquires information on the selling price of the object and information on the expected future purchase price of the object. Alternatively, the estimation unit 133 estimates the future purchase price of the object based on the information regarding the selling price of the object. That is, the expected future purchase amount of the object may be acquired by the acquisition unit 131 from an external site or the like, or may be estimated by the estimation unit 133 from the selling price of the object.

In addition, the acquisition unit 131 acquires information about the property (owned vehicle, etc.) of the user U. The estimation unit 133 estimates the real cost based on the selling price of the object, the estimated future purchase amount of the object, and the current estimated purchase amount of the property of the user U. The providing unit 135 presents the information about the object to the user U together with the actual cost.

In addition, the acquisition unit 131 acquires information on a budget that can be allocated to the purchase of the object of the user U. The provider 135 presents to the user U information about an object whose real cost is within the budget.

Further, the information processing apparatus according to the present application further includes a search unit 134 for searching for an object whose actual cost is in a predetermined price range. Then, the providing unit 135 presents information on the object whose actual cost is in the predetermined price range based on the search result by the search unit 134. The predetermined price range may or may not be within the budget range that can be allocated to the purchase of the object of the user U.

Further, the acquisition unit 131 acquires the attribute information and the history information of the user U. The estimation unit 133 estimates the budget that can be allocated to the purchase of the object of the user U based on the attribute information and the history information of the user U. The provider 135 presents to the user U information about an object whose real cost is within the budget.

Further, the information processing apparatus according to the present application further includes a management unit 132 that manages the attribute information and the history information of the user U. Then, the estimation unit 133 purchases the object of the user U when the attribute information and the history information of the user U are registered or updated, or periodically, based on the attribute information and the history information of the user U. Estimate the budget that can be allocated to. The provider 135 presents to the user U information about an object whose real cost is within the budget.

In addition, the management unit 132 further manages the property information regarding the property of the user U. When the property information regarding the property of the user U is registered or updated, or periodically, the estimation unit 133 determines the selling price of the object, the estimated future purchase amount of the object, and the property of the user U. Estimate the real cost based on the current estimated purchase price of. The providing unit 135 presents the information about the object to the user U together with the actual cost.

Further, the estimation unit 133 estimates the current estimated purchase price of the property of the user U based on the attribute information and the history information of the user U and the property information regarding the property of the user U, and targets the target. The real cost is estimated based on the selling price of the item, the estimated future purchase amount of the object, and the current estimated purchase amount of the property of the user U. The providing unit 135 presents the information about the object to the user U together with the actual cost.

Further, the estimation unit 133 presents information about the object to the user U together with the actual cost even if the actual cost is an object whose real cost exceeds the range of the budget that can be allocated to the purchase of the object by the user U.

In addition, the estimation unit 133 executes a purchase simulation (vehicle transfer simulation, etc.) regarding an object that can be purchased at a real cost. The provider 135 presents the result of a purchase simulation for an object that can be purchased at a real cost.

By any or combination of the above-mentioned processes, the information processing apparatus according to the present application can present a vehicle that can be purchased at a substantial cost.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

1 Information processing system 10 Terminal device 100 Information providing device 110 Communication unit 120 Storage unit 121 User information database 122 History information database 123 Vehicle information database 130 Control unit 131 Acquisition unit 132 Management unit 133 Estimating unit 134 Search unit 135 Providing unit

Claims (14)

The acquisition department that acquires information on the selling price of the object,
An estimation unit that estimates the real cost based on the selling price of the object and the estimated future purchase amount,
A provider that presents information about the object along with the real cost,
Equipped with
The estimation unit estimates the budget that can be allocated to the purchase of the object by the user based on the attribute information and the history information of the user who is the target customer of the object.
The provider presents to the user information about the object whose real cost is within the budget.
An information processing device characterized by this. The information processing apparatus according to claim 1, wherein the acquisition unit acquires information on the selling price of the object and information on the expected future purchase price of the object. The information processing apparatus according to claim 1 or 2, wherein the estimation unit estimates an estimated future purchase price of the object based on information on the selling price of the object. The acquisition unit acquires information about the user's property and obtains information.
The estimation unit estimates the real cost based on the selling price of the object, the expected future purchase amount of the object, and the current expected purchase amount of the user's property.
The information processing apparatus according to any one of claims 1 to 3, wherein the providing unit presents information about the object to the user together with the actual cost. The acquisition department acquires information on the budget that can be allocated to the user's purchase of the object, and obtains information.
The information processing apparatus according to any one of claims 1 to 4, wherein the providing unit presents information about the object whose actual cost is within the range of the budget to the user. .. A search unit that searches for an object whose actual cost is in a predetermined price range,
Further prepare
According to any one of claims 1 to 5, the providing unit presents information about the object whose real cost is in the predetermined price range based on the search result by the search unit. The information processing device described. The acquisition unit acquires the user's attribute information and history information, and obtains the user's attribute information and history information.
The estimation unit estimates the budget that can be allocated to the purchase of the object by the user based on the attribute information and the history information of the user.
The information processing apparatus according to any one of claims 1 to 6, wherein the providing unit presents information about the object whose actual cost is within the range of the budget to the user. .. The management department that manages user attribute information and history information,
Further prepare
The estimation unit allocates to the purchase of the object of the user when the attribute information and history information of the user are registered or updated, or periodically based on the attribute information and history information of the user. Estimate possible budget,
The information processing apparatus according to claim 7, wherein the providing unit presents information about the object whose actual cost is within the budget. The management department further manages property information regarding the user's property, and manages the property information.
When the property information regarding the property of the user is registered or updated, or periodically, the estimation unit may use the selling price of the object, the expected future purchase amount of the object, and the user's property. Estimate the real cost based on the current estimated purchase price of the property
The information processing apparatus according to claim 8, wherein the providing unit presents information about the object together with the actual cost to the user. The estimation unit estimates the current estimated purchase price of the user's property based on the user's attribute information and history information and the property information related to the user's property, and the object. Estimate the real cost based on the selling price of the object, the estimated future purchase amount of the object, and the current expected purchase amount of the user's property.
The information processing apparatus according to claim 9, wherein the providing unit presents information about the object together with the actual cost to the user. The providing unit is characterized in that even if the actual cost exceeds the budget that can be allocated to the purchase of the object by the user, the information about the object is presented to the user together with the actual cost. The information processing apparatus according to any one of claims 1 to 10. The estimation unit executes a purchase simulation for an object that can be purchased at the real cost.
The information processing apparatus according to any one of claims 1 to 11 , wherein the providing unit presents the result of a purchase simulation for an object that can be purchased at a real cost. It is an information processing method executed by an information processing device.
The acquisition process to acquire information about the selling price of the object,
An estimation process that estimates the real cost based on the selling price of the object and the estimated future purchase amount,
A providing process for presenting information about the object together with the actual cost, and
Including
In the estimation process, the budget that can be allocated to the purchase of the object by the user is estimated based on the attribute information and the history information of the user who is the target customer of the object.
The providing process presents to the user information about the object whose real cost is within the budget.
An information processing method characterized by that. The acquisition procedure to acquire information about the selling price of the object, and
An estimation procedure for estimating the real cost based on the selling price of the object and the estimated future purchase amount, and
Providing procedures for presenting information about the object along with the actual costs,
Let the computer run
In the estimation procedure, the budget that can be allocated to the purchase of the object by the user is estimated based on the attribute information and the history information of the user who is the target customer of the object.
In the provision procedure, the user is presented with information about the object whose real cost is within the budget.
An information processing program characterized by this .

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