KR102083725B1 - Method for suggesting service related to vehicle by using information on vehicle - Google Patents

Abstract

The present invention relates to a method for suggesting a vehicle-related service using vehicle information, the method comprising: receiving vehicle-related information obtained during a car wash service for a vehicle, and analyzing the vehicle-related information to determine a necessary cooperation service Transmitting the vehicle related information to a company providing the affiliated service, receiving information about the affiliated service from the company, and transmitting information about the affiliated service to a customer of the car wash service. Include.

Description

Method for suggesting vehicle related service using vehicle information {METHOD FOR SUGGESTING SERVICE RELATED TO VEHICLE BY USING INFORMATION ON VEHICLE}

The present invention relates to suggesting a vehicle-related service using vehicle information, and more particularly, to a method for suggesting another vehicle-related service using vehicle information obtainable among services for a vehicle.

Vehicles are becoming a necessity of modern people in modern society. The most common vehicle-related behaviors used by the owners are parking, refueling, and car wash. Other services for borrowers include services that maintain the vehicle's original functions, such as inspections and repairs, and services that reflect personal preferences, such as tuning. The various actions and services described above are generally provided by individual operators. Therefore, the Borrower visits the company as needed and is provided with the service.

It can be observed that recently developed services are provided for the convenience of the borrowers. For example, while providing a car wash service, an employee of a company is driving a vehicle to complete a car wash and return it to the owner. As such, new services based on the convergence of heterogeneous services are being developed, and more diverse services are expected to emerge in the future.

Patent Application Publication No. 10-1848019 Published Patent Publication No. 10-2012-0050371

The present invention provides a method for providing a new vehicle related service.

In addition, the present invention provides a method for proposing another vehicle related service using vehicle information obtainable among services for a vehicle.

In addition, the present invention provides a method for determining other services required by using the vehicle information obtained during the car wash service of the vehicle.

In addition, the present invention provides a method for selecting a company that provides another service by using the vehicle information obtained during the completion of washing the vehicle.

According to an embodiment of the present invention, a method for proposing a vehicle-related service using vehicle information includes: receiving vehicle-related information obtained from a basic service for a vehicle, and analyzing the vehicle-related information to perform a necessary cooperation service; Determining a process, transmitting the vehicle-related information to a company that provides the affiliate service, receiving information about the affiliate service from the company, and providing information about the affiliate service to a customer of the basic service. Transmitting.

According to the method for providing a vehicle-related service according to the present invention, by determining the necessary service using the vehicle information, by providing the relevant information to the relevant company, to propose a suitable service that meets the needs of the owner, to improve the satisfaction of the owner Can be improved.

In addition, the present invention can proactively propose a service required by the customer in the normal car wash service stage before the borrower requests the service desired by the borrower, and the service is provided by the customer through a single channel rather than through an individual channel. By request, convenience can be maximized. In particular, the present invention has the advantage that it can collect the vehicle information of the customer, such as the replacement / repair target area, cumulative driving distance, vehicle specifications in the car wash step, and can distribute the information throughout the vehicle aftermarket.

1 illustrates a system structure for a vehicle related service according to the present invention.
2 illustrates examples of types of other services that can be proposed in a vehicle related service according to the present invention.
3 illustrates examples of vehicle information and examples of related services available in a vehicle related service according to the present invention.
4 is a flowchart for providing a vehicle related service according to the present invention.
5 is a flowchart for generating an analysis engine for classifying vehicle information in a vehicle related service according to the present invention.
6 is a flowchart for proposing a required service using vehicle information in a vehicle related service according to the present invention.
7 illustrates a flowchart for proposing a used car transaction service in a vehicle related service according to the present invention.
8 is a flowchart for proposing an exterior repair service in a vehicle related service according to the present invention.
9 is a flowchart for proposing a new car purchase service in a vehicle related service according to the present invention.
10 is a flowchart illustrating a tire replacement service in a vehicle-related service according to the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, when it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted.

Hereinafter, a description will be given of a technology for proposing a vehicle-related service using vehicle information. In particular, the present invention describes a method for proposing another vehicle related service using vehicle information obtainable among services for a vehicle.

1 illustrates a system structure for a vehicle related service according to the present invention. Referring to FIG. 1, a system for a vehicle related service according to the present invention includes an analysis server 110, a customer device 120, a remote device 130, and an affiliated operator device 140.

The analysis server 110 processes tasks related to reservation / order for the basic service. The basic service is a service provided by an operating entity of the analysis server 110. For example, the basic service may be a car wash service. Specifically, the basic service is a car wash service in which the analysis server 110 is carried out together with delivery of a vehicle by an operating agent, a car wash service in which a traveling car wash employee visits a customer's vehicle, or a customer directly runs a vehicle. It may be a car wash service performed after visiting the car wash. According to an embodiment of the present invention, the analysis server 110 uses the vehicle-related information to determine the required service, and processes the related tasks. To this end, the analysis server 110 may include a processor, a communication circuit, a memory, and the like. For example, the analysis server 110 may be a notebook, tablet PC (personal computer), smart phone, desktop PC, workstation, and the like.

The customer device 120 is a device used by the customer and processes a task for ordering a basic service according to a user's input. In addition, the customer device 120 may display information about other services determined by the analysis server 110 and process the customer's input thereto. To this end, the customer device 120 may include a processor, a display, a touch pad, a key button, a communication circuit, a memory, and the like. For example, the customer device 120 may be a notebook, tablet PC, smart phone, desktop PC and the like.

The remote device 130 is a device used by a subject belonging to an operating subject of the analysis server 110 and processes a task for collecting information on a vehicle while performing a basic service. For example, the information about the vehicle may include a photograph of the vehicle, an audio file recording a sound generated from the vehicle, data about the state of the vehicle, a video file photographed while the vehicle is stopped or driving. To this end, the remote device 130 may include a processor, a display, a touch pad, a key button, a communication circuit, a memory, and the like. For example, the remote device 130 may be a notebook, a tablet PC, a smart phone, a desktop PC, or the like. The remote device 130 is preferably a portable device.

The affiliated operator device 140 is a device used by a subject providing a service different from an operating subject of the analysis server 110, and uses the information on the vehicle to determine an estimate for another service and processes related tasks. . For example, another service may be a service related to a vehicle, specifically, vehicle maintenance, accessory sales, tinting, lapping, parking, refueling, second-hand deals, tire exchange, and the like. To this end, the affiliate operator device 140 may include a processor, a display, a touch pad, a key button, a communication circuit, a memory, and the like. For example, the affiliated operator device 140 may be a laptop, a tablet PC, a smartphone, a desktop PC, or the like. In the case of FIG. 1, although one affiliated operator device 140 is illustrated for convenience of description, when a plurality of operators that can provide different kinds or types of services are allied, a plurality of affiliated operator devices may exist. have.

A procedure of proposing a vehicle-related service using vehicle information, which can be performed based on the system shown in FIG. 1, will be described below.

First, the customer device 120 generates reservation / order information for the basic service according to the input of the customer, and transmits it to the analysis server 110. For example, the customer device 120 may execute an application distributed by the operating entity of the analysis server 110, and generate and transmit reservation / order information for the basic service through the executed application. Reservation / Order Information includes information about your vehicle (e.g. vehicle number, model, year, vehicle manufacturer, etc.), details about basic services (e.g. service type, class of service, availability of additional services, etc.), basic services It may include information required for performance (eg, vehicle location, service request date / time, etc.).

Receiving reservation / ordering information for the basic service from the customer device 120, the analysis server 110 transmits the received information to the remote device 130. Accordingly, the remote device 130 outputs (eg, displays) the reservation / order information for the basic service so that the user of the remote device 130 can recognize it. Accordingly, the user of the remote device 130 (for example, the performer of the basic service provided by the operating entity of the analysis server 110, hereinafter referred to as 'car manager') performs the basic service.

In the process of performing the basic service, the car manager collects vehicle related information using the remote device 130. The remote device 130 transmits the vehicle related information to the analysis server 110. To this end, the remote device 130 may execute an application designed to collect vehicle-related information. For example, an application may create shutters for each label required by the photo taking function and label them immediately after shooting, an interface that allows users to label photographs that are not separated by the shutter, and a finger in the image. Gestures and stickers to recognize and label.

According to another exemplary embodiment, another device other than the remote device 130 may collect vehicle-related information on behalf of or in parallel with the remote device 130. For example, another separate device may be a device installed in a place where basic service is provided. As a specific example, the other device may be a camera installed at a place where a vehicle passes or a place where the vehicle stops at a corresponding place. Here, the place where the vehicle passes may be an entrance of the place. The place where the vehicle stops is a place where the car is washed or oiled, and may be a position where the stop guide is displayed. Vehicle-related information collected by another device may be transmitted to the analysis server 110 from another device, or transmitted to the analysis server 110 after being transmitted to the remote device 130.

In this case, the other device may collect vehicle related information after recognizing the vehicle through image recognition. Alternatively, another device may start collecting vehicle-related information in response to a signal from the remote device 130. To this end, the remote device 130 may periodically transmit a predetermined signal. As another example, another device may periodically transmit a predetermined signal, and as the remote device 130 detects the previously promised signal, it may transmit a command signal for operating the other device. Here, the signal may be a signal generated according to a technology such as Bluetooth or WLAN.

The analysis server 110 which receives the vehicle related information from the remote device 130 or another device analyzes the vehicle related information and determines a required service according to the analysis result. For example, when the vehicle-related information is a picture, the analysis server 110 may classify the picture by using an image analysis / classification algorithm based on deep learning. The database for the analysis / classification algorithm may be stored in a memory of the remote device 130 or may be stored in an external server (eg, a cloud server).

Subsequently, the analysis server 110 selects an appropriate alliance operator based on the analysis result of the vehicle related information. To this end, the analysis server 110 may use a database of a list of affiliates and service characteristics of the affiliates (eg, types of services available, rough price information, service quality, etc.). Here, the database may be stored in the memory of the analysis server 110. Alternatively, the analysis server 110 and the affiliated operator device 140 may be stored in an accessible public system. In this case, for quick determination, the analysis server 110 may periodically access the common system and store the latest information about affiliates in advance.

The analysis server 110 transmits the classified information to the affiliated operator device 140. The affiliate service provider 140 calculates an estimate for a service that can be provided using the classified vehicle related information. The affiliated operator device 140 feeds back the information on the quotation to the analysis server 110. For example, the information on the quotation may include the contents of the service, the time required to provide the service, the date and time when the service can be provided, the required cost, the discount information, the coupon, and the like.

The analysis server 110 then transmits the information about the quotation to the customer device 120. Upon receiving the information on the quotation, the customer device 120 outputs (eg, displays) information on the quotation so that the customer can recognize it. Thereafter, when the reservation / order intention of the affiliate service is confirmed according to the input of the customer, the client device 120 transmits the reservation / order information for the affiliate service to the analysis server 110. Accordingly, the analysis server 110 transmits the reservation / order information for the affiliated service to the affiliated operator device 140. For example, the reservation / order information for the affiliate service may include a service option, a desired date and time, and the like. According to another embodiment of the present disclosure, the customer device 120 may directly transmit reservation / order information for the affiliate service to the affiliate service provider device 140.

In the above-described procedure, the exchange of information between the analysis server 110, the customer device 120, the remote device 130, and the affiliate service provider device 140 may be performed through an external network (eg, an internet network or a mobile communication network). Can be.

In the procedure as described above, the basic service may be a precession service. That is, the present invention generally uses vehicle information obtained through a high frequency car wash service. In addition, since the vehicle is the cleanest state immediately after receiving the service due to the nature of the car wash, the photograph taken after washing is more likely to show the state of the vehicle more accurately, and the act of taking the picture after washing is natural. ) Can deliver accurate information to other service providers based on the pictures obtained at this time.

2 illustrates examples of types of other services that can be proposed in a vehicle related service according to the present invention. FIG. 2 illustrates affiliate services that can be proposed by the system as in FIG. 1. Referring to FIG. 2, in addition to the provision of the basic service 201, as a cooperative service, a tire replacement 211, a used car transaction 212, a new car purchase 213, a fueling 214, a parking 215, and a PPF ( paint protection film) / wrapping (216), tinting (217), purchase accessories (218), exterior repair (219), maintenance / repair 220, navigation / black box / rear camera installation (221), etc. Can be suggested.

As an example of the basic service, a car wash service may be performed, in which a customer may order external repair, engine oil change, oiling, tire change, and the like. In particular, the car wash is the most frequent use after the fueling and parking among the aftermarket service, and unlike car refrigeration / parking, the car wash has a characteristic of temporarily securing a customer's vehicle. Therefore, as a basic service according to an embodiment of the present invention, when a car wash application is spread, it may be used to build a spreading platform as an overall service for a vehicle. Based on this, various affiliated services illustrated in FIG. 2 may be provided through a system such as FIG. 1.

3 illustrates examples of vehicle information and examples of related services available in a vehicle related service according to the present invention. 3 illustrates possible partnership services when a picture is utilized as vehicle information. Referring to FIG. 3, the damaged part photograph 310, the tire specification photograph 320, and the instrument panel photograph 330 may be collected. From the damaged part photograph 310, sheet metal / painting service may be proposed, replacement of the old tires or replacement of the winter tires from the tire specification photograph 320 may be proposed, and purchase of used cars from the dashboard photograph 330 proposed. Can be.

4 is a flowchart for providing a vehicle related service according to the present invention.

Referring to FIG. 4, in S401, the analysis server 110 builds a vehicle information analysis system. In the case of collecting a plurality of photographs of damage parts of the vehicle, tire specification and tread wear state photographs, cumulative driving distance, and indoor / outdoor photographs of the vehicle through a process of providing basic services performed in advance, the analysis server 110 Build an analysis engine (e.g., image recognition solution) that can be used throughout the vehicle aftermarket business by learning by using the collected information and the classification results about them, that is, by learning the actual image of the vehicle. can do. In order to build such an analysis engine, deep learning technology, which shows strength in image learning and analysis, may be applied, and thus, a learning model optimized for vehicle image may be constructed, and a general vehicle image analysis engine may be implemented. Can be.

In S402, the analysis server 110 receives vehicle-related information obtained among basic services. For example, the vehicle-related information may include a picture of a vehicle, an audio file recording a sound generated by the vehicle, data about the state of the vehicle, a video file recorded while the vehicle is stopped or driven, and an on-board diagnostics- OBD2. 2) may include data obtained through a diagnostic device, such as. According to an embodiment of the present disclosure, the photo, audio, and video file may be provided after being photographed or recorded by the remote device 130. According to another embodiment of the present invention, a picture may be taken by cameras installed at a specific location of a place (eg, a car wash) where a basic service is provided, and then may be provided directly or through a remote device 130. In this case, labeling information about the camera used for photographing may be received together. Data about the state of the vehicle is transmitted through a communication means provided in the vehicle, and may be provided after being collected by the remote device 130. Specifically, the data may be related to the state of the vehicle's consumables (eg engine oil, washer fluid, battery, etc.) (eg remaining charge, last replacement time, etc.), lubrication status, tire pressure, tire wear, vehicle wear information, etc. It may contain a variety of information that is not identified through the picture.

In S403, the analysis server 110 analyzes the vehicle related information to determine the necessary service. That is, the analysis server classifies and analyzes vehicle-related information using an algorithm constructed through in-depth learning to determine a service required for the vehicle. The service required for the vehicle may be determined based on the photographing part of the picture and the state of the corresponding part determined from the photographed picture. To this end, the analysis server 110 determines which part of the vehicle the picture is, and extracts information related to the affiliated service that can be provided in the corresponding part. And, based on the extracted information, the analysis server 110 determines whether or not the affiliate service.

In S404, the analysis server 110 transmits information related to the determined service to the service provider or the customer. The information related to the service may include information determined by the analysis server 110 from the vehicle related information, and further include vehicle related information itself. In addition, the analysis server 110 may transmit service related information to the customer. For example, the analysis server 110 may provide marketing information (eg, a discount coupon, etc.) provided from an affiliate provider to a customer. In addition, the analysis server 110 may deliver the quotation information received from the affiliate business to the customer.

5 is a flowchart for generating an analysis engine for classifying vehicle information in a vehicle related service according to the present invention.

Referring to FIG. 5, in S501, the analysis server 110 checks previously collected vehicle related information. The pre-collected vehicle related information may have various forms. In this case, in addition to the vehicle related information, an analysis result of the vehicle related information may be input together. Here, the analysis result is information generated by hand in advance, and may be used later in the optimization process of the artificial neural network. That is, the analysis server 110 obtains learning data including the vehicle-related information collected in advance and the analysis result of the vehicle-related information collected in advance.

In S502, the analysis server 110 normalizes the vehicle related information. That is, the analysis server 110 may normalize the vehicle-related information in a form that is easy to analyze. For example, in the case of a photo, the analysis server 110 may convert the image to a predetermined size. As another example, in the case of audio, the analysis server 110 may filter to have a spectrum of a predetermined frequency range.

In S503, the analysis server 110 generates an artificial neural network for analyzing vehicle related information. In detail, the analysis server 110 defines the explanatory variable and the target variable according to the type of the vehicle-related information. For example, a pixel value of an image, a label of vehicle related information, or the like may be used as the explanatory variable. The analysis server 110 defines input nodes according to the explanatory variable, output nodes according to the target variable, and defines the number of hidden nodes and hidden nodes between the input nodes and the output nodes. . Thereafter, the analysis server 110 initializes the weight of each node. In this case, a plurality of artificial neural networks may be generated according to the type of vehicle related information.

In S504, the analysis server 110 performs artificial neural network optimization. To this end, the analysis server 110 may use the classification result performed in advance as a solution of the final output. Through this, the analysis server 110 may adjust the weight of each node. In the optimization process, a back propagation process may be performed.

Although not shown in FIG. 5, the analysis server 110 may update the analysis engine even while the analysis engine is in operation. For example, in the process of analyzing vehicle-related information collected later through the analysis engine, an optimization procedure may be performed again using the analysis result. As another example, when the analysis result through the analysis engine is modified by the operating entity or other subject of the analysis server 110, this means that the optimization of the artificial neural network is more necessary, the number of nodes, nodes based on the modified contents The connection relationship of, the weight of the node and the like can be modified.

As described above, the analysis engine may be implemented based on learning-based artifical intelligent (AI) technology. In addition, the analysis engine may further include a character recognition module for recognizing letters, numbers, and the like in the image. The analysis engine generated as described above may be stored in a memory in the analysis server 110 or may be stored in an external server.

6 is a flowchart for proposing a required service using vehicle information in a vehicle related service according to the present invention.

Referring to FIG. 6, in S601, the analysis server 110 analyzes vehicle related information. For example, the analysis server 110 classifies the vehicle related information according to the type, and normalizes the vehicle related information in a manner corresponding to the type. Thereafter, the analysis server 110 analyzes the vehicle-related information using the artificial neural network corresponding to the type or determines which part of the vehicle is the information using the label provided with the artificial neural network, and then uses the artificial neural network corresponding to the corresponding portion. To determine the state of the part.

In S602, the analysis server 110 determines a required service according to the analysis result. For example, when the tire wear state of the threshold level or more is confirmed according to the analysis result, the analysis server 110 may determine a tire replacement service. As another example, when the driving distance over the threshold distance is confirmed according to the analysis result, the analysis server 110 may determine the used car purchase. As another example, when the appearance damage is confirmed according to the analysis result, the analysis server 110 may determine the sheet metal or the painting service.

In S603, the analysis server 110 identifies an affiliate provider that provides the service. The analysis server 110 may maintain a database of affiliates or access an external database. Therefore, the analysis server 110 may identify one or a plurality of affiliates that provide the service by searching the database using the determined service. In this case, the analysis server 110 may perform filtering on a predetermined condition. For example, the analysis server 110 may search for affiliates within a certain distance from the residence of the customer by using the information of the customer.

In S604, the analysis server 110 transmits service related information to affiliated companies and receives quotation information. In this case, in order to optimize the estimate, the analysis server 110 may transmit information related to the service to a plurality of affiliates that provide the same type of service. In this case, multiple quotes may be provided from multiple affiliates.

In S605, the analysis server 110 selects the quotation information and delivers it to the customer. That is, when a plurality of quotations are provided from a plurality of affiliates, the analysis server 110 may select an optimal quotation and transmit the selected quotation to the customer device 120. At this time, the criteria for selecting the best estimate may vary according to the customer's disposition. For example, the best estimate can be selected according to any one of price, value added service, discount level, and the criteria can be determined according to the preferences of customers previously collected. If there is no collected preference, the analysis server 110 may provide a plurality of quotations and generate and store preference information according to a result of the customer's selection.

In addition, the analysis server 110 may further provide statistical information about the affiliate service provided through the procedure proposed by the present invention. For example, the statistical information may include the number of times of using the affiliate service during a specific period, option information of the affiliate service selected by other customers, and the like. In addition, the analysis server 110 may further provide information (eg, a uniform resource locator (URL)) for accessing review information or review information of other customers for the affiliate service. This additional information provides the benefit of helping the customer to make a choice.

Hereinafter, a procedure for suggesting an affiliate service will be described along with a specific example of the affiliate service.

7 illustrates a flowchart for proposing a used car transaction service in a vehicle related service according to the present invention.

Referring to FIG. 7, in S701, a customer requests a quote of a used vehicle price. The request of the vehicle mid price quotation may occur according to the preliminary proposal of the analysis server 110 or may be triggered by the customer through an application designed for basic service. In S702, the analysis server 110 delivers vehicle information to a plurality of dealers. For example, the analysis server 110 may include information such as the vehicle number, model name, model year, manufacturer, and mileage, as well as exterior damage, tires (eg, standard, tread, wheel condition), rear view picture, and dashboard. The vehicle may further provide information on the condition of the vehicle, which may affect the price of the photo, information on the level of vehicle management input by the car manager, and information on whether the vehicle is abnormal while driving.

In S703, the dealers give a quote. Accordingly, analysis server 110 obtains a plurality of estimates for the customer's vehicle. In S704, the analysis server 110 delivers the highest price quote to the customer. In operation S705, the analysis server 110 connects the dealer to the customer after confirming the intention of the customer to sell. In other words, the analysis server 110 transmits the intention to sell the customer to the dealer. In addition, the analysis server 110 may provide a customer with an address of a web page for proceeding with a used vehicle sale.

According to the above-described embodiment, the used car dealership can be provided with damage and wear state information of the vehicle, so that a more accurate estimate can be calculated. In addition, utilizing the cumulative traveling distance history lowers the risk of integration total operation. In addition, in a typical used car transaction, customers tend to forget the option specification at the time of selling the used car, but the dashboard picture will identify the exact vehicle option. In addition, since the customer orders the quotation with one-touch through the application you normally use, convenience is increased. As a result, customers will benefit from lowering the probability of online quote reversal during dealer visits, dealers offering the highest price in a safe range to the customer, and lowering the chances of inadvertent trading after a visit.

8 is a flowchart for proposing an exterior repair service in a vehicle related service according to the present invention.

Referring to FIG. 8, in S801, the analysis server 110 transmits a photograph of a vehicle damage site to a repair shop after completing a car wash service. That is, the analysis server 110 selects a picture of the vehicle damage area among the pictures taken through the remote device 130 or the camera installed in the car wash after the car wash service is terminated, and transmits the selected pictures to the repair shop. In this case, vehicle-related information such as a vehicle model and a manufacturer may be provided together. In S802, the repair shop calculates a repair estimate for each damage site. In S803, the analysis server 110 delivers the car wash satisfaction, damage site estimate 1 day after the end of the car wash service in a push message. According to another embodiment, the analysis server 110 may deliver the car wash satisfaction and the damaged part estimate to the customer immediately after the end of the car wash service. In S804, the customer checks the quotation and requests repair. That is, the customer transmits information about the repair intention to the analysis server 110. Information about repairs can be communicated through applications designed for car wash services. In S805, the analysis server 110 transmits the repair intention of the customer to the repair shop.

According to the above-described embodiment, the quotation is automatically calculated by the customer requesting the car wash service instead of directly photographing. In addition, an iterative estimating process is expected to reduce the unit price and increase the purchase rate. In addition, customers benefit from eliminating the hassle of exterior repairs such as searching for companies and comparing prices, and repair shops can provide accurate quotations based on photographic information. For a more accurate estimate, it is advisable to follow the shooting guide when taking pictures.

9 is a flowchart for proposing a new car purchase service in a vehicle related service according to the present invention.

Referring to FIG. 9, in S901, the analysis server 110 selects a vehicle having a high probability of purchasing according to the vehicle of the customer, and presents a test schedule. Here, the purchase probability may be determined by using statistical information retrieved from the outside, or by using internal data leading to purchase by the presentation of the analysis server 110. In order to determine the test schedule, a vehicle model, a manufacturer, a cumulative distance, an order region, etc. of a customer's vehicle may be considered. In S902, the customer requests a test run. The request of the test drive may be delivered to the analysis server 110 by the customer through an application designed for the basic service. In S903, the analysis server 110 delivers customer information to the dealer. For example, the customer information may include a vehicle model of the customer, a manufacturer, a cumulative distance, a living area, a contact information, and the like. In S904, the customer and the dealer proceed with the test run and sales. In S905, the analysis server 110 confirms the purchase intention of the customer, and then connects the dealer.

According to the above-described embodiment, among the basic services, by performing a new car test schedule, a differentiated service leading to a dealer connection may be provided. The testable vehicle can be filtered according to the customer's own vehicle, so that an appropriate vehicle can be presented to the customer. This gives customers the benefit of maximizing the convenience of buying a new car (e.g., a dealer who comes with the car) and avoiding the test cherry picker by verifying in the wiper that the dealer is the driver of the expensive car. have.

10 is a flowchart illustrating a tire replacement service in a vehicle-related service according to the present invention.

Referring to FIG. 10, in S1001, the analysis server 110 obtains information about a tire through a picture collected among basic services. The analysis server 110 recognizes letters / numbers from the pictures of the tires, and based on the recognized letters / numbers, the tire manufacturer, manufacturing parking lot, pattern name, maximum load, maximum air pressure, country of origin, brand name, model, Check the specifications. To this end, the analysis server 110 recognizes the appearance of the tire from the picture of the tire, and extracts and analyzes an image of areas where the information is likely to be located in the recognized appearance. In S1002, the analysis server 110 provides the tire information to the retailer. The tire information includes information on the identified tire manufacturer, model, specification, and wear condition. In S1003, the retailer calculates an estimate. In S1004, the analysis server 110 provides the customer with the quotation provided from the store. In S1005, the analysis server 110 transmits the customer's intention to replace the customer.

In the above-described embodiment, the analysis server 110 has requested a quotation from the retailer. However, according to another exemplary embodiment of the present disclosure, when there is an inventory management system in which affiliated tire dealers may input a price, the analysis server 110 may directly calculate a quotation through the inventory management system. In this case, when the tire image is recognized, the analysis server 110 may refer to the price of the tire in real time in the inventory management system and propose it. In this case, a faster tire estimate can be secured.

According to the above-described embodiment, a condition check and a quotation for a tire are automatically obtained by requesting a basic service without the customer directly photographing. Accordingly, the customer can enjoy the advantages of eliminating tire purchase, such as searching for a company and comparing prices, and can present an accurate quotation of a store. For a more accurate estimate, it is advisable to follow the shooting guide when taking pictures.

Meanwhile, in the detailed description of the present invention, specific embodiments have been described, but various modifications are possible without departing from the scope of the present invention. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined not only by the scope of the following claims, but also by those equivalent to the scope of the claims.

Claims (7)

A method for suggesting a vehicle-related service using vehicle information, which is performed by an analysis server including a processor and a memory,
Receiving vehicle-related information obtained during a car wash service for the vehicle;
Analyzing the vehicle related information to determine a necessary affiliate service;
Transmitting the vehicle related information to a company providing the affiliated service;
Receiving information about the affiliate service from the company; And
Transmitting information about the affiliated service to a customer of the car wash service;
The vehicle-related information is collected by a device of an performer performing the car wash service or by a device installed at a place where the car wash service is provided;
Receiving learning data including vehicle-related information collected in advance and analysis results of the vehicle-related information collected in advance;
Generating at least one artificial neural network for analyzing vehicle-related information obtained during the car wash service; And
Generating an analysis engine for analyzing the vehicle-related information by optimizing the at least one artificial neural network using the learning data;
Among the vehicle-related information, the audio information of the sound generated in the vehicle is filtered to have a spectrum of a predetermined frequency range and used as the learning data.
When the affiliated service is determined to be a used car transaction service based on instrument panel photo information among the vehicle-related information,
Vehicle number information, model name information, model information, manufacturer information, mileage information, exterior damage information, tire information, vehicle rear photo information, dashboard photo information and information on whether the vehicle abnormality during the driving of the vehicle Providing the used car dealers among the companies;
Obtaining a plurality of quotation information from the used car dealers;
Providing quotation information of the highest price among the plurality of quotation information and the plurality of quotation information to a customer of the car wash service; And
Providing the customer with address information of a web page corresponding to the plurality of quotation information according to the information on the intention to sell the customer,
If the affiliated service is determined to be a new car purchase service,
Selecting a vehicle having the highest probability of purchase based on the vehicle type and statistical information among the vehicle-related information, and providing test ride schedule information to a customer of the car wash service; And
And providing the customer information to a new car dealer among the companies according to the test run request information of the customer.
delete The method of claim 1,
The method further includes the step of selecting one of the plurality of service-related quotes provided from a plurality of companies that can provide the affiliate service,
The information on the affiliated service includes information on the selected one quote.
The method of claim 1,
Receiving information about an order or reservation of the affiliate service from the customer; And
And transmitting information on the order or reservation of the affiliate service to the company.
The method of claim 1,
The process of transmitting information on the affiliated service to the customer of the car wash service,
And transmitting information on the affiliated service together with a completion report and an evaluation request for the precession service.
The method of claim 1,
The vehicle-related information is received in a state labeled with one of a camera used to collect the information, an interface used to collect the information, and a gesture used to collect the information. .
The method of claim 1,
The method may further include providing additional information about the affiliate service to the customer.
The additional information may include at least one of a number of use of the affiliated service during a specific period, option information of the affiliated service selected by other customers, and reviews of other customers using the affiliated service.

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