Information processing device and information processing method
The information processing device calculates a lower cost for applying an easily peelable second paint film on leased vehicles, addressing paint deterioration issues and enhancing resale value by incentivizing users to apply the film, thus improving the vehicles' marketability.
Patent Information
- Application Number
- JP2022170733
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2022-10-25
- Publication Date
- 2025-12-16
- Estimated Expiration
- 2042-10-25
AI Technical Summary
Existing vehicles leased for extended periods face significant paint film deterioration, leading to reduced resale value due to fading and scratches, which discourages users from applying easily peelable coatings.
An information processing device calculates a lower cost for applying an easily peelable second paint film on leased vehicles, considering factors like lease period and paint film color, to incentivize users by reducing the financial burden of repainting.
The solution enhances the resale value of leased vehicles by protecting the original paint film, increasing the number of users willing to apply the second paint film, and facilitating easier resale or secondary leasing.
Smart Images

Figure 0007786331000001 
Figure 0007786331000002 
Figure 0007786331000003
Abstract
Description
[Technical Field]
[0001] The present disclosure relates to an information processing device and an information processing method. [Background technology]
[0002] BACKGROUND ART There is known a technique for applying a peelable coating including an easily peelable layer to a vehicle (see, for example, Patent Document 1). [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Japanese Patent Publication No. 2022-59901 Summary of the Invention [Problem to be solved by the invention]
[0004] An object of the present disclosure is to provide technology that can contribute to improving the resale value of vehicles that are subject to leasing. [Means for solving the problem]
[0005] The present disclosure can be understood as an information processing device for calculating a first cost, which is the cost of overpainting a first vehicle with a first paint film, the second paint film including an easily peelable layer. The vehicle may be provided with a control unit that calculates a first cost, which is the cost when the first vehicle is subject to leasing, to be lower than a second cost, which is the cost when the first vehicle is not subject to leasing.
[0006] The present disclosure can also be regarded as an information processing method for calculating a first cost, which is the cost of overpainting a first vehicle with a first paint film, the second paint film including an easily peelable layer. The computer The first cost, which is the cost when the first vehicle is subject to leasing, may be calculated to be lower than the second cost, which is the cost when the first vehicle is not subject to leasing.
[0007] The present disclosure can also be understood as an information processing program for causing a computer to execute the above-described information processing method, or a non-transitory storage medium for storing the information processing program. [Effects of the Invention]
[0008] According to the present disclosure, it is possible to provide a technology that can contribute to improving the resale value of vehicles that are subject to leasing. [Brief explanation of the drawings]
[0009] [Figure 1] FIG. 1 is a diagram illustrating an overview of a leasing system. [Figure 2] FIG. 2 is a diagram showing a first example of the configuration of a paint film applied to a first vehicle. [Figure 3] FIG. 10 is a diagram showing a second example of the configuration of a paint film applied to a first vehicle. [Figure 4] FIG. 2 is a diagram illustrating an example of the hardware configuration of each of a user terminal and a server included in the leasing system. [Figure 5] 3 is a block diagram showing an example of the functional configuration of a server according to the first embodiment. FIG. [Figure 6] FIG. 10 is a diagram showing the correlation between a first difference and a first reduction value. [Figure 7] FIG. 10 is a diagram showing an example of a second Web page displayed on a user terminal. [Figure 8] FIG. 4 is a diagram showing an example of information stored in a first evaluation information DB in the first embodiment. [Figure 9] FIG. 4 is a diagram showing an example of information stored in a second evaluation information DB in the first embodiment. [Figure 10] FIG. 10 is a diagram showing the correlation between the length of the lease period, the color of the first paint film, and the first difference. [Figure 11]FIG. 4 is a diagram illustrating an example of information stored in a standard fee DB according to the first embodiment. [Figure 12] FIG. 4 is a diagram showing an example of a processing routine executed by a server in the first embodiment. [Figure 13] FIG. 10 is a block diagram showing an example of the functional configuration of a server in a modified example of the first embodiment. [Figure 14] FIG. 10 is a diagram showing an outline of a first evaluation model in a modified example of the first embodiment. [Figure 15] FIG. 10 is a diagram showing an outline of a second evaluation model in a modified example of the first embodiment. [Figure 16] FIG. 10 is a diagram illustrating an example of the functional configuration of a server according to the second embodiment. [Figure 17] FIG. 10 is a diagram showing an example of information stored in a third evaluation information DB in the second embodiment. [Figure 18] FIG. 10 is a diagram illustrating an example of the functional configuration of a server according to a modified example of the second embodiment. [Figure 19] FIG. 10 is a diagram showing an outline of a third evaluation model in a modified example of the second embodiment. DETAILED DESCRIPTION OF THE INVENTION
[0010] A technology has been developed for applying paint to a vehicle body using a paint film (second paint film) including an easily peelable layer. The second paint film is applied as a topcoat to the original paint film (first paint film) applied to the vehicle body during vehicle manufacturing, etc., and is removable afterward. The first paint film is formed by forming an electrodeposited layer (primer) on the surface of a steel plate or the like that constitutes the vehicle body, and then laminating an intermediate coat layer, a base layer, a clear coat (top coat), etc. on the electrodeposited layer. The first paint film is difficult to remove simply because it must be removed using a dedicated solution such as a stripper. In contrast, the second paint film is, for example, a combination of a film-like easily peelable layer formed on the first paint film and a paint film (e.g., a base layer and a clear coat) formed on the easily peelable layer, and can be easily removed without using a dedicated solvent. The second paint film may be a paint film that is itself peelable (easily peelable paint).
[0011] In a vehicle with the above-described second paint film applied, the first paint film is protected by the second paint film, thereby reducing deterioration of the first paint film (e.g., fading and scratches) compared to a vehicle without the second paint film applied. For example, when a vehicle is rented out for lease, applying a second paint film to the vehicle can reduce deterioration of the first paint film during the lease period. This makes it easier for leasing companies and others to find a secondary user (e.g., a next lessee or buyer) for the vehicle after the lease period ends, and also enables the vehicle to be rented out or sold at a higher price. Therefore, it is desirable to increase the number of users who wish to apply a second paint film to their leased vehicles, thereby improving the resale value of leased vehicles.
[0012] Therefore, in the information processing device according to the present disclosure, the control unit calculates the cost of overpainting the second paint film to be lower when the first vehicle to be coated with the second paint film is leased compared to when the vehicle is not leased. In other words, the control unit of the information processing device according to the present disclosure calculates the first cost, which is the cost of overpainting when the first vehicle is leased, to be lower than the second cost, which is the cost of overpainting when the first vehicle is not leased. Here, "not leased" refers to vehicles that are scheduled for sale and vehicles that have already been sold, and are not necessarily vehicles for which the benefits of overpainting the second paint film will be passed on to the leasing company, etc. Furthermore, the "topcoat cost" is the cost including the material cost and labor cost of the second paint film, and is the cost charged to the user of the first vehicle.
[0013] According to this embodiment, when the first vehicle is leased, the repainting fee charged to the user of the first vehicle is lower than when the first vehicle is not leased. In other words, the financial hurdle for users to repaint the second paint film on a leased vehicle can be lowered compared to when the first vehicle is not leased. This makes it possible to increase the number of users who wish to repaint the second paint film on their leased vehicles.
[0014] In the information processing device according to this embodiment, the control unit may calculate the first cost by subtracting the first subtraction value from the second cost, thereby making the first cost lower than the second cost.
[0015] Regarding the first subtraction value, the control unit may obtain a predicted value (first residual value) of the assessed value of the first vehicle at the end of the lease period, assuming that the second paint film is overcoated, and calculate the first subtraction value based on the first residual value. The first residual value is a residual value based on the assumption that the first paint film is protected by the second paint film. The first residual value is set to be higher than the predicted value (second residual value) of the assessed value of the first vehicle at the end of the lease period, assuming that the second paint film is not overcoated.
[0016] In the information processing device according to the present disclosure, the control unit may calculate a first deduction value that is larger the higher the first residual value is compared to the second residual value. This allows the first deduction value to be calculated in proportion to the increase in the residual value of the first vehicle due to the application of the second paint film. As a result, the user of the first vehicle can receive a discount on the repainting cost in proportion to the increase in the residual value of the first vehicle due to the application of the second paint film.
[0017] The main difference between the first residual value and the second residual value is whether or not the first paint film has deteriorated (for example, faded color, scratches, etc.). The first residual value is the residual value assuming that the first paint film will hardly deteriorate during the lease period. In contrast, the second residual value is the residual value assuming that the first paint film will deteriorate during the lease period.
[0018] The degree of deterioration of the first paint film when the second paint film is not applied over it varies depending on the length of the lease period and the color of the first paint film, etc. For example, when the lease period is long, there tends to be more scratches on the first paint film than when the lease period is short.
[0019] Furthermore, when the color of the first coating film is a color that easily absorbs ultraviolet rays, the degree of fading per unit time tends to be greater than when the color is a color that does not easily absorb ultraviolet rays. Examples of colors that easily absorb ultraviolet rays include black and solid colors. Examples of colors that do not easily absorb ultraviolet rays include colors containing glittering particles such as metallic or pearl, and white.
[0020] Therefore, in the information processing device according to the present disclosure, the control unit may acquire the color of the first paint film of the first vehicle and the length of the lease period, and acquire the first residual value based on the acquired information. In this case, the information processing device according to the present disclosure may further include a first database that stores the color of the first paint film, the length of the lease period, and the first residual value in association with each other. The control unit may acquire the first residual value by accessing the first database using the color of the first paint film of the first vehicle and the length of the lease period as arguments. Note that the first residual value stored in the first database is, for example, an assessed value obtained by adding an assessed amount corresponding to the benefit of the first paint film being protected by the second paint film (the first paint film being almost undeteriorated) to the second residual value. As a result, the lease period, assuming that the second paint film has been overpainted, can be calculated. It becomes possible to obtain the residual value (first residual value) of the first vehicle at the end of the contract.
[0021] In the information processing device according to the present disclosure, the control unit may acquire the first residual value using a first model instead of the first database. The first model is, for example, a model that inputs the color of the first paint film and the lease period length to output the first residual value, and is a machine learning model that is trained using actual valuation values in a first market as training data. The "first market" here refers to, for example, the market for leased vehicles or the market for used cars. The valuation value used as training data is, for example, the actual valuation value in the first market (corresponding to the second residual value described above) of a vehicle that has the same model, grade, and color of the first paint film as the first vehicle and whose usage period is equivalent to the lease period length of the first vehicle. The first model is configured, for example, to add an evaluation amount corresponding to the benefit of the first paint film being protected by the second paint film (i.e., the first paint film being almost undegraded) to the actual valuation value in the first market. This makes it possible to obtain the residual value (first residual value) of the first vehicle at the end of the lease period, assuming that the second paint film has been applied over it.
[0022] Here, it is conceivable that after the lease period of the first vehicle has expired, the leasing company may rent out (secondary lease) or sell the first vehicle without removing the second paint film. In such a case, the leasing company may obtain the following benefits, for example: (1) The first paint film is protected by the second paint film during the second lease period. (2) A selling point can be obtained in that the secondary user can peel off the second coating film at any time and restore the first coating film to a clean state. A "secondary user" is a user who rents a first vehicle under a secondary lease, or a user who purchases a first vehicle that has been returned to a leasing company or the like.
[0023] However, when finding a secondary user, the popularity (demand) of the color of the second paint film is also important. Therefore, in the information processing device according to the present disclosure, the control unit may acquire the color of the first paint film, the color of the second paint film, and the lease period of the first vehicle, and acquire the first residual value based on the acquired information. In this case, the information processing device according to the present disclosure may further include a second database that stores the color of the first paint film, the color of the second paint film, the lease period, and the first residual value in association with each other. The control unit may acquire the first residual value by accessing the first database using the color of the first paint film, the color of the second paint film, and the lease period of the first vehicle as arguments. The first residual value stored in the second database is, for example, an evaluation amount obtained by adding an evaluation amount corresponding to the benefit of the second paint film protecting the first paint film to the second residual value, as well as an evaluation amount corresponding to the popularity (demand) of the second paint film color in the first market. The evaluation portion corresponding to the popularity (demand) of the color of the second paint film in the first market may be increased, for example, as the popularity (demand) of the color of the second paint film in the first market increases. This makes it possible to obtain an appropriate first residual value even in cases where it is expected that the first vehicle will be secondarily leased or sold without removing the second paint film.
[0024] In the information processing device according to the present disclosure, the control unit may obtain the first residual value using a second model instead of the second database. The second model is, for example, a model that receives the color of the first paint film, the color of the second paint film, and the lease period length as inputs and outputs the first residual value, and is a machine learning model that learns using the actual valuation amount in the first market as training data. The valuation amount used as training data is the same as that of the first model (corresponding to the second residual value). The second model is configured, for example, so that an valuation amount corresponding to the benefit of the second paint film protecting the first paint film is added to the second residual value, as well as an valuation amount corresponding to the popularity (demand) in the first market for the color of the second paint film. This allows the first vehicle to be second-leased or sold without removing the second paint film. Even if it is expected that the asset will be sold, it will be possible to obtain an appropriate first residual value.
[0025] Here, the control unit may determine whether to obtain the first residual value from the first database / first model or the second database / second model based on the lease period of the first vehicle. For example, if the margin for the useful life of the second paint film relative to the lease period (=(useful life)-(lease period length)) is less than a predetermined period (e.g., several years), the first residual value may be obtained using the first database / first model, and if the margin is equal to or greater than the predetermined period, the first residual value may be obtained using the second database / second model.
[0026] In addition, in the information processing device according to the present disclosure, the control unit may cause a web page listing both the first cost and the second cost to be displayed on a browser on a user terminal used by the user of the first vehicle. This allows the user of the first vehicle to recognize that the cost of applying the second paint film over the topcoat is discounted, and also allows the user to understand the degree of the discount.
[0027] In addition, in the information processing device according to the present disclosure, the control unit may determine the monthly amount for leasing the first vehicle based on the first cost. In this case, the first cost is included in the monthly lease fee and paid in installments. This eliminates the need for the user to pay the first cost in a lump sum and to carry out payment procedures separately from the monthly lease fee.
[0028] Here, the information processing device according to the present disclosure may be a server operated by a leasing company of the first vehicle, etc. The server may be a computer configured to execute a web server for interacting with a user terminal used by a user of the first vehicle. In this case, for example, the user can access the web server through a browser on the user terminal to enter into a lease contract for the first vehicle and request a second paint coating. When requesting a second paint coating, the user can also specify the color of the second paint coating through the browser on the user terminal. Furthermore, the user can also view a web page listing both the first cost and the second cost through the browser on the user terminal. Note that the server may achieve functionality equivalent to the above-described web server by executing a service that interacts with a dedicated application program installed on the user terminal using a predetermined protocol.
[0029] Another aspect of the present disclosure can be specified as an information processing method in which a computer executes the processing of the information processing device. Such an information processing method can achieve the same functions and effects as the information processing device. Another aspect of the present disclosure can also be specified as a program for causing a computer to execute the processing of the information processing device, or a non-transitory storage medium for storing the program.
[0030] Specific embodiments of the present disclosure will be described below with reference to the accompanying drawings. Unless otherwise specified, the hardware configurations, module configurations, functional configurations, and the like described in the following embodiments are not intended to limit the technical scope of the disclosure to those configurations alone.
[0031] <Embodiment 1> A first embodiment of the present disclosure will be described with reference to Fig. 1 to Fig. 12. In this embodiment, an example will be described in which an information processing device according to the present disclosure is applied to a system (hereinafter, sometimes referred to as a "leasing system") that provides a vehicle rental service (leasing service).
[0032] (System Overview) Fig. 1 is a diagram showing an overview of the leasing system in this embodiment. The leasing system in this embodiment includes a user terminal 200 and a server 300. In the example shown in Fig. 1, only one user terminal 200 is shown, but if there are multiple users who wish to enter into a leasing contract, multiple user terminals 200 corresponding to the number of users may be included.
[0033] The user terminal 200 is a computer used by a user who wishes to lease the first vehicle 1. The user can access the server 300 through the user terminal 200 and apply for a lease contract for the first vehicle 1. The "lease contract" here also includes procedures for requesting the application of the second paint film. Note that, although this embodiment describes an example in which the lease contract is concluded online, the lease contract may also be concluded at a store (for example, the store of a leasing service provider (leasing agent)). In this case, the user terminal 200 may be a computer installed in the store.
[0034] The server 300 is a computer operated by a leasing company. By interacting with the user terminal 200, the server 300 determines the specifications of the first vehicle 1 to be rented to the user and concludes a lease contract. In this embodiment, the server 300 accepts a designation of the color of a second paint film (described later) at the time of the lease contract, and determines the cost of topcoating the second paint film (first cost). The server 300 presents the determined first cost to the user via the user terminal 200.
[0035] (Second coating) Here, the paint applied to the first vehicle 1 will be described. FIG. 2 is a diagram showing the schematic configuration of the paint film applied to the first vehicle 1. As shown in FIG. 2, an original paint film (first paint film) is applied to the surface of the steel plate 11 that constitutes the body of the first vehicle 1, and a topcoat paint film (second paint film) is formed on the first paint film. The first paint film includes an intermediate coat layer 20 formed on the surface of the steel plate 11, a base layer 30 formed on the intermediate coat layer 20, and a clear layer (top coat) 40 formed on the base layer 30. The steel plate 11 is undercoated with an electrodeposition layer. Furthermore, if the components that constitute the body of the first vehicle 1 are made of resin, a primer layer can be formed instead of the intermediate coat layer 20 of the first paint film. The first paint film formed in this way is difficult to remove easily because it must be removed using a dedicated solution such as a stripper.
[0036] Next, the second paint film includes a release layer 50 formed on the surface of the first paint film (clear layer 40). The release layer 50 is a layer of easily peelable paint and has the property of being easily peelable by applying force, etc. The release layer 50 is formed, for example, by applying easily peelable paint onto the original paint film using a spraying method, etc. The easily peelable paint is a paint containing, for example, xylene, ethylbenzene, an antioxidant, methyl ethyl ketone, a silica reactant, titanium oxide (nanoparticles), and an organic solvent, etc. The second paint film may be formed to include the release layer 50 and a clear layer formed on the surface of the release layer 50.
[0037] While the second coating film illustrated in FIG. 2 is made of a paint material with peelability, the configuration of the second coating film is not limited to the example illustrated in FIG. 2 and may be any coating film with easy peelability. For example, as illustrated in FIG. 3, a peel layer 60 may be formed on the surface of the clear layer 40 of the first coating film, and a base layer 70 and a clear layer 80 may be formed on the surface of the peel layer 60. The peel layer 60 illustrated in FIG. 3 is formed uncolored using the same material as the peel layer 50 in FIG. 2. In this case, the peel layer 60 corresponds to the "easily peelable layer" according to the present disclosure, and the coating film including the peel layer 60, the base layer 70, and the clear layer 80 corresponds to the "second coating film" according to the present disclosure. The second coating film illustrated in FIG. 3 can be easily peeled from the first coating film by applying force to the peel layer 60.
[0038] By using the second paint film described above, the body color of the first vehicle 1 can be changed to the color of the first paint film. This makes it easy to change the body color of the first vehicle 1 to a different color. Furthermore, by removing the second paint film, it is also easy to return the body color of the first vehicle 1 to the color of the first paint film. Therefore, if the user's desired color is not available among the color options for the first paint film, the user can select a first paint film in a color that is popular (in demand) in the first market (e.g., the lease vehicle market or the used car market), and then apply a second paint film in the user's desired color to use the first vehicle 1. This allows the leasing company to remove the second paint film from the first vehicle 1 after the lease period ends, restoring the first paint film to a color that is popular (in demand) in the first market. As a result, it becomes easier to find a secondary user (a next lessee or buyer) for the first vehicle 1, and it becomes possible to secondarily lease or sell the first vehicle 1 at a higher price.
[0039] Therefore, in this embodiment, the server 300 calculates the cost of applying the second paint film (first cost) to a leased first vehicle 1 as being lower than the cost of applying the second paint film to a non-lease vehicle (second cost). This allows users to request the application of the second paint film to leased vehicles at a lower cost. As a result, it becomes possible to increase the number of users who request the application of the second paint film when signing a lease contract.
[0040] (System Configuration) FIG. 4 is a diagram showing an example of the hardware configuration of each of the user terminal 200 and the server 300 included in the leasing system according to this embodiment.
[0041] The user terminal 200 is a computer used by an individual, such as a personal computer, a smartphone, a mobile phone, a tablet computer, or a personal digital assistant. The user terminal 200 includes a processor 201, a main memory unit 202, an auxiliary memory unit 203, an input / output unit 204, and a communication unit 205. The processor 201, the main memory unit 202, the auxiliary memory unit 203, the input / output unit 204, and the communication unit 205 are connected to one another by a system bus.
[0042] 4 shows only the hardware components that perform processing related to the leasing service, extracted from the hardware components of the user terminal 200. Therefore, the user terminal 200 may include hardware components other than those shown in FIG. 4 (for example, a hardware component for acquiring the current location of the user terminal 200, a hardware component for outputting audio, etc.).
[0043] The processor 201 is an arithmetic processing device such as a CPU (Central Processing Unit) or a DSP (Digital Signal Processor). The program is loaded into the main storage unit 202 and executed, and the user terminal 200 is controlled through this execution.
[0044] The main memory unit 202 includes semiconductor memories such as a RAM (Random Access Memory) and a ROM (Read Only Memory). The main memory unit 202 provides a storage area and a working area for loading programs stored in the auxiliary memory unit 203. The main memory unit 202 is also used as a buffer for arithmetic processing by the processor 201.
[0045] The auxiliary storage unit 203 is, for example, an EPROM (Erasable Programmable ROM) or The auxiliary storage unit 203 is a removable medium, i.e., a hard disk drive (DD). The auxiliary storage unit 203 may include a removable storage medium. The removable medium is, for example, a disk storage medium such as a USB (Universal Serial Bus) memory, a CD (Compact Disc), or a DVD (Digital Versatile Disc). The auxiliary storage unit 203 stores various programs and data used by the processor 201 when executing each program.
[0046] The programs stored in the auxiliary memory unit 203 include an OS (Operating System), a browser application program, or a dedicated application program for causing the processor 201 to execute processing related to the leasing service.
[0047] The input / output unit 204 is a unit that accepts input operations performed by a user and presents information to the user. In this embodiment, the input / output unit 204 is made up of a single touch panel display. That is, the input / output unit 204 is configured to include a touch panel, its control circuit, etc.
[0048] The communication unit 205 is an interface for connecting the user terminal 200 to the network N1. The network N1 is, for example, a WAN (Wide Area Network), which is a global public communication network such as the Internet, or other communication networks. , LTE (Long Term Evolution), LTE-Advanced, 5G (5th Generation) The communication unit 205 connects to the network N1 using a mobile communication method such as 6G (6th Generation), a wireless communication method such as Wi-Fi (registered trademark), or a LAN (Local Area Network), etc. In this embodiment, the communication unit 205 communicates with the server 300 through the network N1.
[0049] Server 300 is a computer operated by a leasing company or the like. Server 300 includes a processor 301, a main memory unit 302, an auxiliary memory unit 303, and a communication unit 304. Processor 301, main memory unit 302, auxiliary memory unit 303, and communication unit 304 are connected to one another by a system bus.
[0050] 4 shows only the hardware components that perform processing related to the leasing service extracted from the hardware components of the server 300. Therefore, the server 300 may include hardware components other than those shown in FIG. 4 (for example, hardware components for performing processing related to services other than the leasing service, hardware components for receiving input from an operator, or hardware components for presenting information to an operator).
[0051] The processor 301, main memory 302, auxiliary memory 303, and communication unit 304 of server 300 are similar to the processor 201, main memory 202, auxiliary memory 203, and communication unit 205 of user terminal 200, respectively, and therefore a description thereof will be omitted. However, the programs stored in auxiliary memory 303 of server 300 include an OS as well as a program for realizing a web server that interacts with user terminal 200. Furthermore, the data stored in auxiliary memory 303 includes various data necessary for calculating the cost of topcoating the second paint film.
[0052] (Server functional configuration) The server 300 in this embodiment is configured to function as a web server for interacting with the user terminal 200. That is, in this embodiment, the user terminal 200 accesses a site provided by the web server via a browser to complete the lease contract, including the request for application of the second coating film. Note that the server 300 may provide the above-described services by means other than a web server. For example, the server 300 may execute a service that interacts with dedicated application software installed on the user terminal 200 via a predetermined protocol.
[0053] 5 is a block diagram showing an example of the functional configuration of the server 300 in this embodiment. As shown in FIG. 5, the server 300 in this embodiment has, as its functional components, a control The server 300 includes a unit 310, a first evaluation information DB 320, a second evaluation information DB 330, and a standard cost DB 340. The functional components of the server 300 are not limited to the example shown in Fig. 5, and components may be omitted, replaced, or added as appropriate.
[0054] The control unit 310 is realized by the processor 301 of the server 300 loading a program stored in the auxiliary storage unit 303 into the main storage unit 302 and executing the program. Note that a part or all of the control unit 310 may be implemented by an ASIC (Application Specific Integrated Circuit) or is realized by hardware circuits such as FPGA (Field Programmable Gate Array). Good too.
[0055] The control unit 310 interacts with the user terminal 200 through the execution of a web server. In this embodiment, the control unit 310 causes the browser of the user terminal 200 to display a first web page for specifying the specifications of the first vehicle 1 for which the user wishes to lease. The first web page includes the following input items: (Input item 1) Model of first vehicle 1 (Input item 2) Grade of first vehicle 1 (Input item 3) Color of the first paint film of the first vehicle 1 (Input item 4) Color of the second paint film of the first vehicle 1 (Input item 5) Options etc. (Input item 6) Lease period
[0056] The above-mentioned input items may be displayed in the form of a pull-down menu from which the user can select the desired content, but the color of the second paint film in "input item 4" may be set to be a color that the user can specify.
[0057] The first paint film is an original paint film applied during the manufacture of the first vehicle 1, etc. Therefore, the colors that can be selected in "Input Item 3" are limited to the colors set by the manufacturer of the first vehicle 1. In contrast, the second paint film is a paint film that is applied over the first paint film and can be peeled off later. Therefore, the color of the second paint film in "Input Item 4" can be selected from a wider range of colors than the first paint film. In addition, the second paint film can be mixed to a color requested by the user. This allows the user to change the body color of the first vehicle 1 to the desired color by specifying the color of the second paint film, even if the desired color is not available in the options for the first paint film.
[0058] Note that "Input Item 1," "Input Item 2," "Input Item 3," and "Input Item 6" are required input items, but "Input Item 4" and "Input Item 5" are optional input items. In other words, it is up to the user to decide whether to apply a second paint film and whether to add options. Also, only when the color of the second paint film is specified in "Input Item 4," the control unit 310 may automatically set the color of the first paint film to a predetermined color. The "predetermined color" may be, for example, a color that is popular (in demand) in the first market.
[0059] When "input item 4" is entered on the first web page (when the color of the second paint film is specified), the control unit 310 calculates the first cost. The first cost is the cost incurred by applying the second paint film to the first vehicle 1 (topcoat cost), and is the cost borne by the user. Such first cost includes all costs, such as the cost of materials for the second paint film and labor costs for applying the second paint film to the first vehicle 1.
[0060] In this embodiment, the first cost is calculated by subtracting the first subtraction value from the second cost. The second cost is the cost of applying a second paint film to a non-lease vehicle. A non-lease vehicle is a vehicle that has not been applied with a second paint film, such as a vehicle that is scheduled for sale or has already been sold. The benefits of painting a vehicle are not necessarily passed on to the leasing company. The cost of applying the second paint coat varies depending on the vehicle model and grade. Therefore, the second cost used to calculate the first cost is the cost for a vehicle of the same model and grade as the first vehicle 1.
[0061] The control unit 310 derives the second cost by accessing the standard cost DB 340, which will be described later, using the model and grade of the first vehicle 1 as arguments.
[0062] The control unit 310 calculates the first subtraction value described above based on the difference between the first residual value and the second residual value (corresponding to the increase in residual value due to the application of the second paint film; hereinafter, this may be referred to as the "first difference"). The first residual value is a predicted value of the appraised value of the first vehicle 1 at the end of the lease period, assuming that the second paint film is applied. The second residual value is a predicted value of the appraised value of the first vehicle 1 at the end of the lease period, assuming that the second paint film is not applied.
[0063] The control unit 310 acquires the first residual value by accessing a first evaluation information DB 320 (described later) using as arguments the model of the first vehicle 1, the grade of the first vehicle 1, the color of the first paint film of the first vehicle 1, and the lease term length of the first vehicle 1. The control unit 310 also acquires the second residual value by accessing a second evaluation information DB 330 (described later) using as arguments the model of the first vehicle 1, the grade of the first vehicle 1, the color of the first paint film of the first vehicle 1, and the lease term length of the first vehicle 1.
[0064] The control unit 310 calculates a first difference (the increase in the residual value due to the application of the second paint film) by subtracting the second residual value from the first residual value. The control unit 310 calculates a first subtraction value based on the first difference. Regarding the first subtraction value, the control unit 310 calculates a larger first subtraction value as the first difference increases, as shown in FIG. 6, for example. Note that the correlation shown in FIG. 6 may be stored in advance in the auxiliary storage unit 303 of the server 300 in the form of a map or a function formula. In this way, the control unit 310 can derive the first subtraction value by accessing the map or function formula using the first difference as an argument.
[0065] The method for determining the first cost is not limited to the above-described method, but may be any method in which the first cost is reduced from the second cost in accordance with the increase in residual value due to the application of the second paint film.
[0066] In this embodiment, the control unit 310 executes processing to include the first expense in the monthly lease fee for the first vehicle 1. For example, the control unit 310 calculates the monthly expense by dividing the first expense by the number of times the monthly lease fee is paid (the number of payment months). The control unit 310 determines the monthly lease fee by adding the monthly expense to the standard monthly payment amount (the monthly payment amount determined according to the model, grade, options, and lease term length of the first vehicle 1).
[0067] When the first cost and the monthly lease fee are determined by the above-described method, the control unit 310 displays a second web page through the browser of the user terminal 200. The second web page is a web page on which the first cost and the second cost are listed side by side.
[0068] FIG. 7 is a diagram showing an example of a second web page displayed on the input / output unit 204 through the browser of the user terminal 200. In the example shown in FIG. 7, the first cost is displayed in the "Price of second paint film" display field, and the second cost is displayed in the "Reference price" display field. This allows the user to know that the cost of topcoating the second paint film will be discounted for the vehicle to be leased. In the example shown in FIG. 7, the monthly lease fee when the second paint film is applied and the monthly lease fee when the second paint film is not applied are displayed on the second web page. This allows the user to understand how much the monthly lease fee will increase if the application of the second paint film is requested. When the "Confirm application" button in FIG. 7 is selected, the request for application of the second paint film is confirmed.
[0069] Returning now to the explanation of Figure 5, the first evaluation information DB320 stores first residual values for each vehicle specification. Figure 8 is a diagram showing an example of information stored in the first evaluation information DB320. In this embodiment, the first evaluation information DB320 has multiple records (hereinafter sometimes referred to as "first residual value records") for each vehicle specification. As shown in Figure 8, each first residual value record has fields for vehicle model ID, grade, lease period length, first paint color, and first residual value. Note that the configuration of the first residual value record is not limited to the example shown in Figure 8, and fields can be added, changed, or deleted as appropriate.
[0070] The vehicle model ID field is registered with information identifying each vehicle model (vehicle model ID). The grade field is registered with information identifying each grade set for each vehicle model. The lease period length field is registered with information indicating the length of the lease period. The first paint film color field is registered with information for identifying each color of the first paint film. The first residual value field is registered with the first residual value for each grade of each vehicle model by color of the first paint film. As described above, the first residual value is a predicted residual value after the end of the lease period assuming that the second paint film has been applied.
[0071] The first evaluation information DB 320 in this embodiment corresponds to the "first database" according to the present disclosure.
[0072] Returning now to the explanation of Figure 5, the second evaluation information DB330 stores second residual values for each vehicle specification. Figure 9 is a diagram showing an example of information stored in the second evaluation information DB330. In this embodiment, the second evaluation information DB330 has multiple records (hereinafter sometimes referred to as "second residual value records") for each vehicle specification. As shown in Figure 9, each second residual value record has fields such as vehicle model ID, grade, lease period length, color of first paint film, and second residual value. Note that the configuration of the second residual value record is not limited to the example shown in Figure 9, and fields can be added, changed, or deleted as appropriate.
[0073] The information registered in the vehicle model ID field, grade field, lease term length field, and first paint color field of the second residual value record is similar to the information registered in the vehicle model ID field, grade field, lease term length field, and first paint color field of the first residual value record, and therefore will not be described here. The second residual value field of the second residual value record registers a second residual value for each grade of each vehicle model and each color of the first paint. As described above, the second residual value is a predicted residual value after the lease period ends assuming that the second paint is not applied. The information registered in the second residual value field may be set based on the valuation value in the first market. Specifically, the second residual value may be set equal to the actual valuation value in the first market of a vehicle that has the same vehicle model, grade, and first paint color as the first vehicle 1 and whose usage period is equivalent to the lease period of the first vehicle 1. In this case, the information registered in the second residual value field is updated appropriately according to the market price in the first market.
[0074] Here, the main difference between the first residual value and the second residual value for a vehicle of the same specifications is whether or not the first paint film has deteriorated (for example, faded color, scratches, etc.). The first residual value is the residual value assuming that the first paint film will hardly deteriorate during the lease period. In contrast, the second residual value is the residual value assuming that the first paint film will deteriorate during the lease period. In other words, Therefore, the first residual value is the second residual value plus the increase in residual value resulting from the first paint film being protected (the first paint film hardly deteriorating).
[0075] The degree of deterioration of the first paint film when the second paint film is not applied over it varies depending on the length of the lease period and the color of the first paint film. For example, when the lease period is long, the first paint film tends to have more scratches than when the lease period is short. Also, when the color of the first paint film is a color that easily absorbs ultraviolet rays (e.g., black and solid colors), it tends to fade more easily than when it is a color that does not easily absorb ultraviolet rays (e.g., colors containing glittering particles such as metallic or pearl, and white).
[0076] Therefore, for vehicles with the same specifications, the effect of applying the second paint film becomes greater the longer the lease period and the more easily the first paint film is colored (colors that fade more easily per unit period (e.g., several months to one year)). Therefore, in this embodiment, as shown in FIG. 10, for vehicles with the same specifications, the first evaluation information DB320 is constructed so that the increase in the first residual value relative to the second residual value (first difference) becomes greater the longer the lease period and the more easily the first paint film is colored (colors that fade more easily per unit period).
[0077] In addition, when the first residual value is determined based on the correlation illustrated in Figure 10, the first residual value is also updated when the second residual value is updated according to the market price of the first market.
[0078] Returning now to the explanation of Figure 5, the standard cost DB 340 stores the second cost by vehicle specification. Figure 11 is a diagram showing an example of information stored in the standard cost DB 340. The standard cost DB 340 in this embodiment has multiple records (hereinafter sometimes referred to as "standard cost records") by vehicle specification. As shown in Figure 11, each standard cost record has fields such as vehicle model ID, grade, and second cost. Note that the configuration of the standard cost record is not limited to the example shown in Figure 11, and fields can be added, changed, or deleted as appropriate.
[0079] The vehicle model ID field is registered with information identifying each vehicle model (vehicle model ID). The grade field is registered with information identifying each grade set for each vehicle model. The second cost field is registered with a second cost for each grade of each vehicle model. The information registered in the second cost field is the cost (topcoat cost) for applying a second paint film to a vehicle that is not subject to leasing.
[0080] (Processing flow) The flow of processing executed by the server 300 in this embodiment will be described with reference to Fig. 12. Fig. 12 is a flowchart showing a processing routine executed by the server 300 when a color of the second paint film is specified on the first Web page (the color of the second paint film is entered in "input item 4"). Note that the processing routine of Fig. 12 is executed by the processor 301 of the server 300, but the following description will be given assuming that the functional components of the server 300 are the executing entities.
[0081] When the color of the second paint film is specified in "input item 4" while the first Web page is displayed on the input / output unit 204 through the browser of the user terminal 200, the control unit 310 of the server 300 acquires vehicle information (step S101). The "vehicle information" here refers to information regarding the specifications of the first vehicle 1 desired by the user. The vehicle information includes the model ID of the first vehicle 1, the grade of the first vehicle 1, the lease period of the first vehicle 1, the color of the first paint film of the first vehicle 1, etc. Such vehicle information is acquired in the "input item 4" of the first Web page. When the user specifies "input item 1," "input item 2," "input item 3," and "input item 6," the information is transmitted from the user terminal 200 to the server 300 and acquired by the control unit 310. After completing the processing of step S101, the control unit 310 executes the processing of step S102.
[0082] In step S102, the control unit 310 acquires the first residual value of the first vehicle 1. Specifically, the control unit 310 accesses the first evaluation information DB 320 using the vehicle information acquired in step S101 as an argument, and identifies a first residual value record that matches the vehicle information. Specifically, the control unit 310 identifies a first residual value record that satisfies the following conditions: (Condition 1) The information in the vehicle model ID field matches the vehicle model ID in the vehicle information (Condition 2) The information in the grade field matches the grade of the vehicle information (Condition 3) The information in the lease term length field matches the lease term length in the vehicle information (Condition 4) The information in the first paint film color field matches the color of the first paint film in the vehicle information. The control unit 310 reads out the information registered in the first residual value field of the identified first residual value record, thereby obtaining the first residual value of the first vehicle 1. After completing the process of step S102, the control unit 310 executes the process of step S103.
[0083] In step S103, the control unit 310 acquires the second residual value of the first vehicle 1. Specifically, the control unit 310 accesses the second evaluation information DB 330 using the vehicle information acquired in step S101 as an argument, and identifies a second residual value record that matches the vehicle information. Specifically, the control unit 310 identifies a second residual value record that satisfies the following conditions: (Condition 5) The information in the vehicle model ID field matches the vehicle model ID in the vehicle information (Condition 6) The information in the grade field matches the grade of the vehicle information. (Condition 7) The information in the lease period field matches the lease period in the vehicle information (Condition 8) The information in the first paint film color field matches the color of the first paint film in the vehicle information. The control unit 310 reads out the information registered in the second residual value field of the identified second residual value record to obtain the second residual value of the first vehicle 1. After completing the process of step S103, the control unit 310 executes the process of step S104.
[0084] In step S104, control unit 310 calculates a first difference by subtracting the second residual value obtained in step S103 from the first residual value obtained in step S102. After completing the process of step S104, control unit 310 executes the process of step S105.
[0085] In step S105, control unit 310 calculates a first deduction value based on the first difference calculated in step S104. Specifically, control unit 310 calculates the first subtraction value based on the first difference calculated in step S104 and the correlation as shown in Fig. 6. After completing the process of step S105, control unit 310 executes the process of step S106.
[0086] In step S106, the control unit 310 acquires the second cost. Specifically, the control unit 310 accesses the standard cost DB 340 using the vehicle model ID and grade included in the vehicle information acquired in step S101 as arguments, and identifies a standard cost record that satisfies the following conditions: (Condition 9) The information in the vehicle model ID field matches the vehicle model ID in the vehicle information (Condition 10) The information in the grade field matches the grade of the vehicle information. The control unit 310 reads out the information registered in the second cost field of the identified standard cost record to obtain the second cost, which is the overpainting cost when the first vehicle 1 is not subject to leasing. After completing the process of step S106, the control unit 310 executes the process of step S107.
[0087] In step S107, the control unit 310 calculates the first cost by subtracting the first deduction value calculated in step S105 from the second cost acquired in step S106. After completing the process of step S107, the control unit 310 executes the process of step S108.
[0088] In step S108, the control unit 310 calculates the monthly lease fee (amount paid per month) for the first vehicle 1 based on the first fee calculated in step S107. Specifically, the control unit 310 calculates the monthly fee by dividing the first fee by the number of times the monthly lease fee is paid (number of payment months). The control unit 310 determines the monthly lease fee by adding the monthly fee to the standard payment amount per month. After completing the processing of step S108, the control unit 310 executes the processing of step S109.
[0089] In step S109, the control unit 310 generates a second Web page as shown in Fig. 7 based on the second cost acquired in step S106, the first cost calculated in step S107, and the monthly fee calculated in step S108. The control unit 310 causes the input / output unit 204 to display the generated second Web page through the browser of the user terminal 200.
[0090] (Actions and Effects of the Embodiments) According to the embodiment described above, when the first vehicle 1 is leased, the repainting fee charged to the user of the first vehicle 1 is lower than when the first vehicle 1 is not leased. In other words, the financial hurdle for users to repaint the second paint film on a leased vehicle can be lowered compared to when the first vehicle 1 is not leased. This makes it possible to increase the number of users who wish to repaint the second paint film on leased vehicles. As a result, it is possible to increase the number of vehicles whose resale value improves after the lease period ends. Therefore, it becomes easier to find secondary users (users who rented the first vehicle 1 through a secondary lease or users who purchased the first vehicle 1) for vehicles after the lease period ends, and it becomes possible to rent or sell the vehicles at a higher price.
[0091] According to this embodiment, a second web page listing both the first cost and the second cost can be displayed on the user terminal 200. This allows the user to recognize that the cost of applying the second paint film is discounted, and to understand the extent of the discount. Furthermore, according to this embodiment, the monthly lease fee when the application of the second paint film is requested and the monthly lease fee when the application of the second paint film is not requested can also be displayed on the second web page. This allows the user to understand how much the monthly lease fee will increase if the application of the second paint film is requested.
[0092] Furthermore, according to this embodiment, since the first cost is included in the monthly lease fee, the first cost can be paid in installments, eliminating the need to pay the first cost in one lump sum. Furthermore, the user does not need to separately pay the monthly lease fee and the first cost.
[0093] (Modification of the first embodiment) In the first embodiment described above, an example was described in which the control unit 310 acquires the first residual value and the second residual value using the first evaluation information DB 320 and the second evaluation information DB 330, but the control unit 310 may also acquire the first residual value and the second residual value using a machine learning model.
[0094] 13 is a block diagram showing an example of the functional configuration of the server 300 in this modification. The server 300 in this modification has, as its functional components, a control unit 310, a first rating model 350, a second rating model 360, and a standard cost DB 340. That is, the server 300 in this modification has the first rating model 350 and the second rating model 360 instead of the first rating information DB 320 and the second rating information DB 330 in the first embodiment.
[0095] FIG. 14 is a diagram illustrating an overview of the first valuation model 350. As illustrated in FIG. 14, the first valuation model 350 is a model that uses the vehicle type, grade, lease term length, and color of the first paint film as input data and the first residual value as output data. The first valuation model 350 is a machine learning model that uses the vehicle type, grade, lease term length, and color of the first paint film as input data and is constructed using the actual valuation value in the first market of a vehicle with specifications that match the input data as training data. In this embodiment, the first valuation model 350 is constructed so that an valuation amount corresponding to the benefit of the first paint film being protected by the second paint film (corresponding to the "first difference" in the first embodiment) is added to the actual valuation value in the first market (corresponding to the "second residual value" in the first embodiment).
[0096] The first evaluation model 350 in this modification corresponds to the "first model" according to the present disclosure.
[0097] FIG. 15 is a diagram illustrating an overview of the second valuation model 360. As illustrated in FIG. 15, the second valuation model 360 is a model that uses the vehicle type, grade, lease period, and color of the first paint film as input data and the second residual value as output data. The second valuation model 360 is a machine learning model that uses the vehicle type, grade, lease period, and color of the first paint film as input data and is constructed using the actual valuation value in the first market of a vehicle with specifications that match the input data as training data. In this embodiment, the second valuation model 360 is constructed so that the valuation amount corresponding to the benefit of the first paint film being protected by the second paint film (corresponding to the "first difference" in the first embodiment) is not added to the actual valuation value in the first market (corresponding to the "second residual value" in the first embodiment).
[0098] Returning now to the explanation of FIG. 13 , in this modification, when the color of the second paint film is specified in “input item 4” on the first web page, the control unit 310 acquires vehicle information (vehicle model ID, grade, lease term length, and color of the first paint film). The control unit 310 inputs the acquired vehicle information into the first evaluation model 350 and the second evaluation model 360, respectively, to acquire the first residual value and the second residual value. The first difference, the first discount value, the second cost, the first cost, and the monthly lease fee are acquired and calculated in the same manner as in the first embodiment described above.
[0099] According to this modification, it is possible to obtain the same functions and effects as those of the first embodiment described above.
[0100] <Embodiment 2> Next, a second embodiment of the present disclosure will be described with reference to Figures 16 and 17. Here, configurations and functions that differ from those of the first embodiment described above will be described, and descriptions of configurations and functions that are similar to those of the first embodiment will be omitted.
[0101] In the first embodiment described above, an example was described in which the first residual value was obtained using the vehicle model, grade, lease period, and color of the first paint film as parameters. In contrast, in the present embodiment, an example is described in which the first residual value is obtained using the color of the second paint film as a parameter in addition to the vehicle model, grade, lease period, and color of the first paint film.
[0102] 16 is a diagram showing an example of the functional configuration of server 300 in this embodiment. Server 300 in this embodiment has, as its functional components, a control unit 310, a third rating information DB 370, a second rating information DB 330, and a standard cost DB 340. That is, server 300 in this embodiment has third rating information DB 370 instead of first rating information DB 320 in the first embodiment.
[0103] The third evaluation information DB 370 stores the first residual value for each vehicle specification. In this embodiment, the vehicle specifications include the vehicle model, grade, lease period, first paint film color, and second paint film color. FIG. 17 is a diagram showing an example of information stored in the third evaluation information DB 370. The third evaluation information DB 370 has multiple records (first residual value records) for each vehicle specification. As shown in FIG. 17, the first residual value record in this embodiment has a second paint film color field in addition to fields for the vehicle model ID, grade, lease period, first paint film color, and first residual value.
[0104] The second paint film color field stores information for individually identifying the color of the second paint film. The first residual value field stores a first residual value for each combination of the first paint film color and the second paint film color for each grade of each vehicle model. The first residual value in this embodiment is calculated by adding, to the second residual value, an increase in the residual value resulting from the protection of the first paint film by the second paint film, plus an evaluation amount corresponding to the popularity (demand) of the second paint film color in the first market.
[0105] The setting of the first residual value as described above is intended to assume that, after the lease period of the first vehicle 1 has ended, the leasing company will rent out (secondary lease) or sell the first vehicle 1 without removing the second paint film. In such a case, the leasing company can obtain the following benefits, for example: (1) The first paint film is protected by the second paint film during the second lease period. (2) A selling point can be obtained in that the secondary user can peel off the second coating film at any time and restore the first coating film to a clean state. In addition, the evaluation portion corresponding to the popularity (demand) in the first market for the color of the second paint film may be increased, for example, the higher the popularity (demand) in the first market for the color of the second paint film.
[0106] The third evaluation information DB 370 in this embodiment corresponds to the "second database" according to the present disclosure.
[0107] Returning now to the description of Fig. 16, when the color of the second paint film is specified on the first web page, the control unit 310 in this embodiment acquires vehicle information including the vehicle model ID of the first vehicle 1, the grade of the first vehicle 1, the lease period length of the first vehicle 1, and the color of the first paint film of the first vehicle 1, as well as the color of the second paint film of the first vehicle 1.
[0108] The control unit 310 accesses the third evaluation information DB 370 using the above vehicle information as an argument and identifies a first residual value record that matches the vehicle information. In this case, the control unit 310 identifies a first residual value record that satisfies the above-mentioned conditions 1 to 4 and in which the information in the second paint film color field matches the color of the second paint film in the vehicle information. The control unit 310 obtains the first residual value of the first vehicle 1 by reading the information registered in the first residual value field of the identified first residual value record.
[0109] The acquisition of the second residual value, the calculation of the first difference, the calculation of the first subtraction value, the acquisition of the second cost, the calculation of the first cost, and the calculation of the monthly lease fee are the same as those in the first embodiment described above. is carried out in the same way.
[0110] (Effects of the second embodiment) According to this embodiment, a first residual value can be obtained that includes an increase in the assessed value due to the protection of the first paint film by the second paint film, plus an assessed value corresponding to the popularity (demand) of the color of the second paint film in the first market. This makes it possible to obtain an appropriate first residual value when it is expected that the first vehicle will be subsequently leased or sold without removing the second paint film. As a result, when it is expected that the first vehicle will be subsequently leased or sold without removing the second paint film, it is possible to set a first reduction value that corresponds to the benefit received by the leasing company. This allows the user to request the second paint film to be applied at a lower price.
[0111] (Modification of the second embodiment) In the second embodiment described above, an example was described in which the control unit 310 obtains the first remaining value using the third evaluation information DB 370, but the control unit 310 may also obtain the first remaining value using a machine learning model.
[0112] 18 is a block diagram showing an example of the functional configuration of the server 300 in this modification. The server 300 in this modification has, as its functional components, a control unit 310, a third rating model 380, a second rating model 360, and a standard cost DB 340. That is, the server 300 in this modification has the third rating model 380 and the second rating model 360 instead of the third rating information DB 370 and the second rating information DB 330 in the second embodiment. Note that the second rating model 360 is the same as in the modification of the first embodiment described above, and therefore a description thereof will be omitted.
[0113] Fig. 19 is a diagram showing an overview of the third valuation model 380. As shown in Fig. 19, the third valuation model 380 is a model that uses the vehicle type, grade, lease period length, first paint film color, and second paint film color as input data and the first residual value as output data. The third valuation model 380 is a machine learning model that uses the vehicle type, grade, lease period length, first paint film color, and second paint film color as input data and is constructed using the actual valuation price in the first market of a vehicle with specifications that match the input data except for the second paint film color as training data. In this embodiment, the third evaluation model 380 is constructed so that an evaluation amount corresponding to the benefit of the first paint film being protected by the second paint film (corresponding to the "first difference" in the first embodiment) is added to the actual evaluation amount in the first market (corresponding to the "second residual value" in the first embodiment) along with an evaluation amount corresponding to the benefit of the secondary user being able to peel off the second paint film at any time and restore the first paint film to a clean state.
[0114] The third evaluation model 380 in this modification corresponds to the "second model" according to the present disclosure.
[0115] Returning now to the explanation of FIG. 13 , in this modification, when the color of the second paint film is specified in “input item 4” on the first web page, the control unit 310 acquires vehicle information (vehicle model ID, grade, lease period length, color of the first paint film, and color of the second paint film). The control unit 310 inputs the acquired vehicle information into a third evaluation model 380 to acquire a first residual value. The second residual value is acquired in the same manner as in the modification of the first embodiment described above. The first difference, the first reduction value, the second cost, the first cost, and the monthly lease fee are acquired and calculated in the same manner as in the second embodiment described above.
[0116] According to this modification, it is possible to obtain the same functions and effects as those of the second embodiment described above.
[0117] <Other> The above-described embodiment and modified examples are merely examples, and the present disclosure may be modified and implemented as appropriate without departing from the spirit thereof. For example, part of the processing performed by the server 300 may be performed by the user terminal 200 on which a dedicated application program is installed. In other words, among the processing performed by the server 300, processing such as subtracting the first subtraction value from the second cost to calculate the first cost may be performed by the user terminal 200 through execution of a dedicated application program.
[0118] Furthermore, the above-described embodiments and modifications can be freely combined and implemented as long as no technical contradictions arise. For example, the first embodiment and the second embodiment can be combined as much as possible. In this case, the first cost may be calculated by selecting either the first embodiment or the second embodiment based on the relative relationship between the service life of the second coating film and the lease period. That is, the server 300 may calculate the first cost according to the second embodiment if the remaining period, obtained by subtracting the lease period from the service life, is equal to or longer than a certain period (e.g., one to three years), and may calculate the first cost according to the first embodiment if the remaining period is shorter than the certain period.
[0119] Furthermore, a process described as being performed by one device may be shared and executed by multiple devices. Alternatively, a process described as being performed by different devices may be executed by a single device. In a computer system, the hardware configuration for realizing each function can be flexibly changed.
[0120] The present disclosure can also be realized by supplying a computer program (information processing program) implementing the functions described in the above embodiments to a computer, and having one or more processors of the computer read and execute the program. Such a computer program may be provided to the computer via a non-transitory computer-readable storage medium connectable to the computer's system bus, or via a network. A non-transitory computer-readable storage medium is a recording medium that stores information such as data and programs through electrical, magnetic, optical, mechanical, or chemical action and can be read by a computer or the like. Examples of such a recording medium include any type of disk, such as a magnetic disk (such as a floppy disk or HDD) or an optical disk (such as a CD-ROM, DVD disk, or Blu-ray disk). The recording medium may also be a medium such as a ROM, RAM, EPROM, EEPROM, magnetic card, flash memory, optical card, or SSD (Solid State Drive). [Explanation of symbols]
[0121] 1. First vehicle 200 user terminals 300 servers 301 processor 302 Main memory 303 Auxiliary storage unit 304 Communications Department 310 Control Unit 320 First evaluation information DB 330 Second evaluation information DB 340 Standard cost DB 350 First Evaluation Model 360 Second Evaluation Model 370 Third Evaluation Information DB 380 Third Evaluation Model
Claims
1. An information processing device for calculating a cost of overpainting a first vehicle having a first paint film applied thereto with a second paint film including an easily peelable layer, a first valuation model, which is a machine learning model that receives as input the vehicle type, grade, color of the first paint film, and lease period length of the leased vehicle, and outputs a first residual value that is a predicted value of the valuation of the leased vehicle at the end of the lease period assuming that the second paint film has been applied over it, and which is trained using as training data the actual valuation of the leased vehicle applied over it with the second paint film in a first market at the end of the lease period; a second valuation model that receives as input the vehicle type, grade, color of the first paint film, and lease period length of the leased vehicle and outputs a second residual value that is a predicted value of the valuation of the leased vehicle at the end of the lease period assuming that the second paint film has not been overpainted, the second valuation model being a machine learning model trained using training data of the actual valuation of the leased vehicle at the end of the lease period in the first market that has not been overpainted with the second paint film; a standard cost database that stores information linking a second cost, which is a cost for applying the second paint film to a non-lease vehicle, to the vehicle model and grade; A control unit; Equipped with The control unit Accepting input of vehicle information, which is information specifying the vehicle type, grade, color of the first paint film, and lease period length for the first vehicle; obtaining the first residual value for the first vehicle using the vehicle information and the first valuation model; obtaining the second residual value for the first vehicle using the vehicle information and the second valuation model; and calculating a first difference by subtracting the second residual value from the first residual value; calculating a first subtraction value according to the first difference; The vehicle model and the grade of the vehicle information are used as arguments to accessing a database to obtain the second cost when the first vehicle is not subject to lease; calculating a first cost, which is a cost for repainting the second paint film when the first vehicle is a leased vehicle, by subtracting the first subtraction value from the second cost; configured to run The larger the first difference is, the larger the first subtraction value is calculated to be. Information processing device.
2. The vehicle information further includes, in addition to the vehicle model, grade, color of the first paint film, and lease period length for the first vehicle, the color of the second paint film; The first valuation model is constructed to receive as input the vehicle type, grade, color of the first paint film, and lease term length of the leased vehicle as well as the color of the second paint film, and to output a first residual value which is a predicted value of the valuation amount of the leased vehicle at the end of the lease term assuming that the second paint film has been repainted. The information processing device according to claim 1 .
3. the control unit causes a web page on which the first cost and the second cost are listed together to be displayed on a browser of a user terminal used by a user of the first vehicle. The information processing device according to claim 1 .
4. the control unit determines a monthly fee for leasing the first vehicle based on the first cost. The information processing device according to claim 1 .
5. An information processing method for calculating a cost of overpainting a first vehicle having a first paint film applied thereto with a second paint film including an easily peelable layer, the method comprising: a first valuation model, which is a machine learning model that receives as input the vehicle type, grade, color of the first paint film, and lease period length of the leased vehicle, and outputs a first residual value that is a predicted value of the valuation of the leased vehicle at the end of the lease period assuming that the second paint film has been applied over it, and which is trained using as training data the actual valuation of the leased vehicle applied over it with the second paint film in a first market at the end of the lease period; a second valuation model that receives as input the vehicle type, grade, color of the first paint film, and lease period length of the leased vehicle and outputs a second residual value that is a predicted value of the valuation of the leased vehicle at the end of the lease period assuming that the second paint film has not been overpainted, the second valuation model being a machine learning model trained using training data of the actual valuation of the leased vehicle at the end of the lease period in the first market that has not been overpainted with the second paint film; a standard cost database that stores information linking a second cost, which is a cost for applying the second paint film to a non-lease vehicle, to the vehicle model and grade; a computer comprising: Accepting input of vehicle information, which is information specifying the vehicle type, grade, color of the first paint film, and lease period length for the first vehicle; obtaining the first residual value for the first vehicle using the vehicle information and the first valuation model; obtaining the second residual value for the first vehicle using the vehicle information and the second valuation model; and calculating a first difference by subtracting the second residual value from the first residual value; calculating a first subtraction value according to the first difference; accessing the standard cost database using the vehicle model and the grade of the vehicle information as arguments, and acquiring the second cost when the first vehicle is not subject to leasing; calculating a first cost, which is a cost for repainting the second paint film when the first vehicle is a leased vehicle, by subtracting the first subtraction value from the second cost; Run The larger the first difference is, the larger the first subtraction value is calculated to be. Information processing methods.
6. The vehicle information further includes, in addition to the vehicle model, grade, color of the first paint film, and lease period length for the first vehicle, the color of the second paint film; The first valuation model is constructed to receive as input the vehicle type, grade, color of the first paint film, and lease term length of the leased vehicle as well as the color of the second paint film, and to output a first residual value which is a predicted value of the valuation amount of the leased vehicle at the end of the lease term assuming that the second paint film has been repainted. The information processing method according to claim 5 .
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