Internet-based automobile sales service system

Abstract

The invention discloses an automobile sales service system based on the Internet, and relates to the technical field of automobile sales service. Comprising a sales information base, a customer information management module, a processing execution module and a service module. The method is used for solving the problems of transportation cost and efficiency, insufficient after-sales service, poor customer experience, lack of fault prediction and maintenance reminding and the like in the prior art. According to the invention, the delivery scheme is optimized through an intelligent algorithm and accurate cost calculation, the optimal delivery mode is intelligently matched in combination with the geographic position, the time requirement and the inventory condition of the customer, the transportation cost is reduced, and the efficiency is improved; meanwhile, personalized services are provided, delivery, repair, maintenance and other schedules are tracked in real time, and the customer experience is improved; besides, the system collects and analyzes vehicle driving data, driving habits and environmental factors in real time by using the Internet of Vehicles technology and data analysis, pre-warns potential faults in advance and generates maintenance instructions, and the fault prediction accuracy is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile sales services, and specifically to an Internet-based automobile sales service system. Background Art

[0002] In the prior art, the Internet-based automobile sales service system provides consumers with one-stop services such as car purchase, inquiry, consultation, and payment through an online platform, greatly improving the convenience and efficiency of car purchase. Consumers can browse car information, compare prices, and make test drive appointments anytime and anywhere, reducing the time and space limitations in the traditional car purchase process.

[0003] However, such systems also have some deficiencies. Existing automobile sales systems may face problems such as inaccurate delivery method selection, high transportation costs, and low efficiency; in existing systems, vehicle fault diagnosis and maintenance reminders are often not intelligent enough, easily causing customers to miss maintenance opportunities or fail to handle potential faults in a timely manner; the prior art lacks precise response to customers' personalized needs, and real-time tracking and feedback of after-sales services are not timely enough, resulting in poor customer experience; assuming a customer purchases a car in a traditional automobile sales system and encounters some problems during use (such as vehicle breakdown or regular maintenance required), the prior art may only provide basic after-sales phone numbers or offline service points, lacking personalized and real-time tracking services; for example, customers may need to manually call to confirm the vehicle repair progress or cannot timely understand the health status of their vehicles. Summary of the Invention

[0004] In view of the problems existing in the prior art, an Internet-based automobile sales service system is proposed.

[0005] The object of the present invention can be achieved through the following technical solutions: An Internet-based automobile sales service system, comprising: a sales information database and a customer information management module;

[0006] The sales information database is used to intelligently match the optimal solution; obtain and combine the location information provided by the customer to determine the delivery time requirement; identify the vehicle type, inventory location, and delivery-related restrictions, and query the existing vehicle inventory in 4S stores or warehouses; use GIS to calculate the distances between the customer location and 4S stores, logistics centers, and vehicle inventory warehouses, and calculate the transportation costs of each solution; and obtain the optimal delivery solution based on the delivery cost, delivery time, and the number of unmet customer preferences;

[0007] The customer information management module is used to perform intelligent maintenance reminders for vehicles and intelligent fault diagnosis for vehicles, specifically:

[0008] Perform intelligent maintenance reminders for vehicles; analyze based on the vehicle's mileage and usage; obtain a driving habit coefficient by analyzing the customer's driving habits; and analyze based on the vehicle's driving environment to obtain an environmental factor. Analyze based on mileage, fuel consumption, driving habit coefficient, and environmental factor to obtain Vehicle Maintenance Instruction 1, Vehicle Maintenance Instruction 2, or Vehicle Maintenance Instruction 3.

[0009] Perform intelligent maintenance diagnosis on the vehicle, conduct fault diagnosis based on the vehicle's on-board computer, and connect to the system through the vehicle network; perform real-time fault detection on the vehicle, obtain the vehicle's real-time data through the OBD interface, and read fault codes; transmit the obtained vehicle's real-time data to the cloud, and analyze it through the vehicle's on-board cloud processor to generate corresponding location maintenance instructions.

[0010] As a preferred embodiment of the present invention, it further includes a processing and execution module and a service module;

[0011] The processing and execution module is responsible for arranging and tracking the progress of services according to the customer's repair or maintenance appointment; and updating the progress of picking up, delivering, repairing, or maintaining the vehicle in real time, including the estimated time and current location; when the service is completed, automatically display the service completion status and provide a detailed service summary prompt label;

[0012] The service module is responsible for providing personalized vehicle delivery services according to the delivery method selected by the customer, and at the same time managing after-sales services; the service module is also responsible for intelligent maintenance reminders, fault detection and repair reminders, and automatically generating maintenance and repair instructions by analyzing vehicle data.

[0013] As a preferred embodiment of the present invention, the specific process of intelligently matching the optimal solution is as follows:

[0014] Obtain and combine the location information provided by the customer to determine the delivery time requirement; identify the vehicle type, inventory location, and delivery-related restrictions, and query the existing vehicle inventory in 4S stores or warehouses; use GIS to calculate the distances between the customer's location and 4S stores, logistics centers, and vehicle inventory warehouses, denoted as L1, L2, and L3 respectively; if there is no vehicle in the 4S store, calculate the distance between the vehicle inventory warehouse and the 4S store plus the distance between the customer's location and the 4S store, denoted as L1'; calculate the transportation costs of each plan, including labor costs, fuel costs, and tolls; through the established cost formula: Output the 4S self-pickup cost C A 、the home delivery cost C B 、the logistics distribution cost C C ; C h is the labor cost, C h =R h ×T h ,the hourly wage of the delivery staff Rh Multiply by the time T required to deliver the vehicle h ; C f is the fuel cost, C f = D × F C × P f , the mileage D multiplied by the fuel consumption per 100 kilometers F C multiplied by the unit price P of fuel f ; C t is the toll, C t = ∑Toll i , calculate the total toll for all toll stations passed through; C l is the logistics cost, C l = R l × D, the logistics company charges R per kilometer l multiplied by the total driving distance D; C s is the warehousing cost, the cost of the vehicle parked in the warehouse R s multiplied by the number of parking days T s ;

[0015] Based on the values of the delivery cost C, delivery time T, and the number P of unmet customer preferences, calculate the optimal delivery plan, and output the optimal delivery plan coefficient S through the formula S = ω1×C + ω2×C + ω3×P, where ω1, ω2, and ω3 are weights; for different delivery plans, the corresponding optimal delivery plan coefficients S are calculated, compared, sorted from small to large, and several delivery plans corresponding to the optimal delivery plan coefficients S are selected and sent to the customer's mobile terminal, and finally the delivery plan is selected by the customer.

[0016] As a preferred embodiment of the present invention, the specific process of analyzing the driving habit coefficient H according to the customer's driving habit is as follows:

[0017] The customer's driving habit affects the lifespan of the vehicle; through the established formula: H = A q × η1 + A j × η2 + A t × η3 + S c × η4 outputs the driving habit coefficient H, where A q is the frequency of hard braking; A j is the frequency of hard acceleration; A t is the frequency of sharp turns; S c is the frequency of speeding; η1, η2, η3, and η4 are all preset weights.

[0018] As a preferred embodiment of the present invention, the specific process of analyzing the environmental factor factor E based on the driving environment of the vehicle is as follows:

[0019] If the vehicle operates in a high-temperature, humid or cold environment, through the established formula: E = (T 外 + T 内 ) × λ1 + SD × λ2 + (R 污 + R 尘 ) × λ3 + Hb × λ4, the environmental factor E is output. T 外 is the value of the external temperature; T 内 is the value of the internal temperature of the vehicle; SD is the value of the humidity factor; R 污 is the value of the air pollution index; R 尘 is the value of the air dust factor; Hb is the value of the altitude; λ1, λ2, λ3, and λ4 are all preset weights.

[0020] As a preferred embodiment of the present invention, the specific process based on the analysis of the driving mileage, fuel consumption, driving habit coefficient, and environmental factor is as follows:

[0021] The driving mileage M, fuel consumption F, driving habit coefficient H, and environmental factor E are respectively compared with the comparison thresholds:

[0022] Output 1, 2, 3, where M’ is the preset maintenance mileage of the vehicle, Fy is the fuel consumption threshold, Hy is the driving habit threshold, and Ey is the environmental factor threshold; if 1 is output, a vehicle maintenance instruction is generated and executed, if 2 is output, a vehicle maintenance instruction two is generated and executed, and if 3 is output, a vehicle maintenance instruction three is generated and executed.

[0023] As a preferred embodiment of the present invention, the specific process of performing intelligent maintenance diagnosis on the vehicle is as follows:

[0024] The vehicle-based on-vehicle computer performs fault diagnosis and is connected to the system through the vehicle Internet; it conducts real-time fault detection on the vehicle, obtains the real-time data of the vehicle through the OBD interface, reads the fault codes, and transmits the obtained real-time data of the vehicle to the cloud for analysis by the vehicle's on-vehicle cloud processor: when engine-related fault codes are read, the engine unit data is obtained for analysis; when chassis system fault codes are read, the chassis system data is obtained for analysis; and so on; and according to the classification of the fault codes, real-time data is obtained from the relevant modules; when engine-related fault codes are read, the operating data of the engine is automatically extracted and compared with the standard values for abnormality judgment; when chassis system fault codes are read, the sensor data of the braking system and the suspension system are automatically extracted to check for faults; if there are faults, the current data is compared with the vehicle's historical data to determine whether there are abnormal changes; through training with a large amount of labeled historical fault data, the data characteristics of different fault types are learned; the similarity between the real-time collected data or historical data and the data corresponding to the data characteristics of different fault types is compared, and if the similarity between the two reaches 90%, a repair instruction for the corresponding location is generated.

[0025] As a preferred embodiment of the present invention, the specific process of arranging and tracking the progress of services according to the customer's repair or maintenance appointment is as follows:

[0026] When the customer completes the appointment through the in-vehicle APP or by phone, first confirm the appointment time, location, and service content, and display the appointment confirmation status within the APP;

[0027] If the customer chooses door-to-door pick-up of the vehicle, display the specific progress of the pick-up;

[0028] When the vehicle arrives at the repair station or starts repair / maintenance, display each link of the service progress for the customer to view in real-time;

[0029] When the repair or maintenance is completed, display the service completion status and provide a detailed service summary;

[0030] If the customer chooses to pick up the vehicle by themselves, prompt the available time and location for picking up the vehicle; if it is door-to-door delivery of the vehicle, update the delivery progress in real-time.

[0031] Compared with the prior art, the beneficial effects of the present invention are:

[0032] 1. The intelligent algorithm and precise cost calculation of the present invention optimize the selection of delivery solutions, can intelligently match the optimal delivery method according to multiple factors such as the customer's geographical location, time requirements, inventory situation, etc., thereby reducing transportation costs and improving efficiency; at the same time, the system provides personalized services to meet the specific needs of customers, and real-time tracks the progress of services such as delivery, repair, and maintenance, enhancing the customer experience.

[0033] 2. The present invention utilizes vehicle networking technology and data analysis to perform intelligent maintenance reminders and fault diagnosis on vehicles. By collecting and analyzing vehicle driving data, driving habits, and environmental factors in real time, the system can pre-warn potential faults and generate repair instructions, thereby improving the accuracy of fault prediction; at the same time, the system supports multi-channel notifications to ensure that customers receive service reminders in a timely manner, enhancing customer satisfaction and trust. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] For the convenience of those skilled in the art to understand, the present invention will be further described below in conjunction with the accompanying drawings.

[0035] Figure 1 It is a schematic diagram of the module connection of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0037] It should be understood that the terms "including" and "comprising" used in the specification and claims of this disclosure indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0038] It should also be understood that the terms used in this disclosure specification are only for the purpose of describing specific embodiments and are not intended to limit this disclosure. As used in this disclosure specification and claims, unless the context clearly indicates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms. It should be further understood that the term "and / or" used in this disclosure specification and claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0039] Please refer to Figure 1 As shown, an Internet-based automobile sales service system includes: a sales information database, a customer information management module, a processing and execution module, and a service module;

[0040] The sales information database stores the personal information of customers when they purchase cars, including: customer basic information, car purchase order information, delivery methods, and additional service information; among them, the delivery method (customers online select the delivery method (self-pickup at 4S store / door-to-door delivery / logistics distribution), intelligent matching of the optimal solution), including: delivery date, delivery location (4S store / door-to-door delivery / logistics distribution), delivery status (pending delivery / delivered), delivery person in charge and contact information; additional service information, including: car purchase discounts (discounts, gifts), vehicle maintenance packages, additional optional configurations (such as car films, audio upgrades), license plate agency situation.

[0041] The sales information database is also used to intelligently match the optimal solution, specifically: obtain and combine the location information provided by the customer (such as the delivery address) to determine the delivery time requirement (such as whether there is a specified time window); identify the vehicle type, inventory location, and delivery-related restrictions (such as whether the vehicle needs to be licensed, whether the insurance has taken effect, etc.), and query the existing vehicle inventory situation of the 4S store or warehouse; use GIS to calculate the distances between the customer location and the 4S store, logistics center, and vehicle inventory warehouse, denoted as L1, L2, and L3 respectively; if there is no available vehicle in the 4S store, then calculate the distance between the vehicle inventory warehouse and the 4S store plus the distance between the customer location and the 4S store, denoted as L1'; calculate the transportation costs of each solution, including labor costs, fuel costs, tolls, etc.; through the established cost formula: Output the self-pickup cost C at the 4S store A 、the door-to-door delivery cost C B 、the logistics distribution cost C C ; among them, C h is the labor cost, C h = R h × T h , the hourly wage R of the delivery personnel h multiplied by the time T required for delivery h ; C f is the fuel cost, C f = D × F C × P f , the mileage D (D = L1 or L2 or L3 or L1') multiplied by the fuel consumption per 100 kilometers F C multiplied by the fuel unit price P f ; C t is the toll, C t = ∑Toll i , calculate the total sum of tolls passing through all toll stations; C l is the logistics cost, C l = R l × D, the logistics company charges by kilometer R l multiplied by the total driving distance D; C s is the warehousing cost, the daily cost R of the vehicle parked in the warehouse s multiplied by the parking days Ts 。

[0042] Calculate the optimal delivery plan based on the delivery cost C, delivery time T, and the number P of unmet customer preferences. Output the optimal delivery plan coefficient S through the weighted formula S = ω1×C + ω2×T + ω3×P, where ω1, ω2, and ω3 are weights and ω1 + ω2 + ω3 = 1. Their specific values can be adjusted according to business requirements and are determined by subjective weighting methods (such as expert scoring) or objective weighting methods (such as entropy weight method). For example, the values can be 0.4, 0.3, 0.3. Calculate the corresponding optimal delivery plan coefficients S for different delivery plans, compare them, sort them from small to large, screen out several delivery plans corresponding to the optimal delivery plan coefficients S, and send them to the customer's mobile terminal. Finally, the customer selects the delivery plan. The number of unmet customer preferences is: The customer presets several delivery requirements, and the number of delivery requirements not met in the delivery plan is the number of unmet customer preferences.

[0043] The service module is used to provide vehicle delivery services according to the delivery method selected by the customer. If the delivery method is self-pickup at the 4S store, the customer is notified to pick up the vehicle at the store. If the delivery method is door-to-door vehicle delivery, a delivery specialist is arranged, GPS tracking is provided, and the order processing progress, vehicle transportation status, and estimated delivery time can be viewed in real time. 360° high-definition photos of the vehicle are provided before delivery, and the customer remotely confirms the vehicle condition before signing for receipt (a vehicle delivery condition inspection list is provided for the customer to inspect, and the customer signs for receipt after confirming the vehicle condition). If the delivery method is logistics distribution, a logistics order is generated and the shipment is arranged, and the customer can query it. Similarly, the customer remotely confirms the vehicle condition before signing for receipt (a vehicle delivery condition inspection list is provided for the customer to inspect, and the customer signs for receipt after confirming the vehicle condition).

[0044] The customer information management module is used to provide intelligent vehicle maintenance reminders for the vehicle, specifically:

[0045] Obtain the vehicle's network connection number and the customer's authorization permission. After obtaining the authorization, communicate with the corresponding customer and query the customer information, where the customer information includes the customer's contact information, vehicle APP account, and in-vehicle head unit account.

[0046] Then obtain the vehicle's data collection permission. After authorization, provide intelligent vehicle maintenance reminders, specifically: The vehicle needs to be regularly maintained at certain mileage intervals. The higher the driving mileage, the higher the reminder frequency. Therefore, obtain the vehicle's driving mileage, denoted as M; excessively high fuel consumption may indicate a decrease in the efficiency of the engine or other key components, and early maintenance may be required. Obtain the vehicle's fuel consumption, denoted as F.

[0047] According to the customer's driving habits, such as hard braking and rapid acceleration, it will have an impact on the vehicle's lifespan, especially on components such as the braking system and engine. Through weighted calculation:

[0048] H = A q × η1 + A j × η2 + A t × η3 + S c × η4 outputs the driving habit coefficient H, where A q is the frequency of hard braking, calculated from the vehicle's braking data. For example, the change in G value during hard braking, or the braking deceleration; A j is the frequency of hard acceleration, judged from the acceleration data, usually the number of times the vehicle's acceleration exceeds a certain set value; A t is the frequency of sharp turns, evaluated by the steering angle and steering speed. Frequent or sharp turns may cause wear to the suspension system; S c is the frequency of speeding. High-speed driving will exacerbate vehicle wear, especially to the engine and braking system; η1, η2, η3, and η4 are all weights. The preset weights represent the degree of influence of each behavior on the vehicle's lifespan, and η1 + η2 + η3 + η4 = 1, determined by subjective weighting methods (such as expert scoring) or objective weighting methods (such as entropy weighting method).

[0049] If the vehicle mainly operates in high-temperature, humid, or cold environments, the maintenance cycle will also be affected and may require more frequent inspections. Through weighted calculation: E = (T 外 + T 内 ) × λ1 + SD × λ2 + (R 污 + R 尘 ) × λ3 + Hb × λ4 outputs the environmental factor E, where T 外 is the external temperature (ambient temperature). High temperature (T 外 > 30 °C) and low temperature (T 外 < 0 °C) have a greater impact on the vehicle; T 内 is the internal temperature of the vehicle. The situation where the owner often uses the air conditioner in the car will also accelerate the wear of components such as the air conditioning system and leather seats; SD is the humidity factor, measuring the impact of air humidity on the vehicle. Extreme humidity (too high or too low) may affect the vehicle's electrical system, braking system, and metal components; R 污 is air pollution (PM2.5 index). The concentration of pollutants will affect the vehicle's intake system, filtration system (air filter), etc.; R 尘 is the air dust (sand and dust) factor. Areas with more dust (such as around deserts or construction sites) will accelerate the wear of the engine and cooling system; Hb is the altitude. When the vehicle is driving at high altitude, the air is thin, the engine working pressure increases, and the fuel efficiency decreases; λ1, λ2, λ3, and λ4 are all preset weights and λ1 + λ2 + λ3 + λ4 = 1, determined by subjective weighting methods (such as expert scoring) or objective weighting methods (such as entropy weighting method). The preset weights represent the degree of influence of each factor on vehicle maintenance.

[0050] Then, compare the obtained driving mileage M, fuel consumption F, driving habit coefficient H, and environmental factor E with the corresponding comparison thresholds respectively:

[0051] Output 1, 2, 3, where M’ is the preset vehicle maintenance mileage, Fy is the fuel consumption threshold, Hy is the driving habit threshold, and Ey is the environmental factor threshold; if 1 is output, generate and execute the vehicle maintenance instruction 1; if 2 is output, generate and execute the vehicle maintenance instruction 2; if 3 is output, generate and execute the vehicle maintenance instruction 3.

[0052] The specific process of executing the vehicle maintenance instruction 1 is as follows: send a maintenance reminder notice to the customer's in-vehicle car machine and mobile phone terminal. At the same time, the in-vehicle car machine displays the maintenance reminder to the customer; if the customer does not view the notice within the preset time range, the after-sales personnel obtain the customer's contact information based on the vehicle information and make a phone reminder; if the customer feedbacks to come to the store for maintenance, send a date reservation instruction to the customer and obtain the reserved date for the customer's maintenance. When the system time reaches the reserved date, send the maintenance sequence number and the arrival time period to the corresponding mobile phone terminal and in-vehicle car machine of the customer; if the customer feedbacks the confirmation instruction, display the customer's vehicle license plate number, customer name, maintenance sequence number, and maintenance time period on the display screen; if the customer feedbacks the auxiliary instruction, obtain the location of the vehicle, input the location of the vehicle and the location of the 4S store into the map to obtain the maintenance route and the required time, obtain the location of the pick-up personnel, input the location of the pick-up personnel and the location of the vehicle into the map to obtain the pick-up route and the pick-up time, determine the sending time based on the pick-up time, the required time, and the maintenance time period. When the system current time is equal to the sending time, send the location of the vehicle, customer name, phone number, license plate number, maintenance route, arrival time period, etc. to the mobile phone terminal of the pick-up personnel, and at the same time send the name, location, and mobile phone number of the pick-up personnel to the customer's mobile phone terminal. The pick-up personnel send the customer's vehicle to the 4S store for maintenance, and at the same time record the maintenance video. After the maintenance is completed, the pick-up personnel send the customer's vehicle to the corresponding location and send the maintenance video to the customer's mobile phone terminal. Through the whole process from maintenance reminder, reservation, route planning to pick-up and delivery service, realize full-process automated management, reduce manual intervention, and improve service efficiency. At the same time, reach the in-vehicle car machine and mobile phone terminal, and use the redundant notification mechanism to ensure that the customer receives the information in time and avoid omission. Generate the optimal route and time plan based on the real-time location (customer vehicle, 4S store, pick-up personnel), reduce the waiting time, and improve the scheduling efficiency. Through the recording and push of the maintenance video, realize the visualization of the service process and improve the customer's trust in the service quality. Support the customer's active selection (confirmation / auxiliary instruction), combine the route planning and time calculation, and provide personalized solutions.

[0053] The specific process of executing Vehicle Maintenance Instruction 2 or Vehicle Maintenance Instruction 3 is as follows: send a maintenance reminder notice and a vehicle inspection notice to the customer's in-vehicle head unit and mobile phone terminal. At the same time, the in-vehicle head unit displays the maintenance reminder and the vehicle inspection notice to the customer. The remaining steps are the same as those of Vehicle Maintenance Instruction 1.

[0054] The customer information management module also conducts intelligent maintenance diagnosis on the vehicle, specifically as follows:

[0055] Based on the vehicle's on-board computer (ECU), conduct fault diagnosis and connect to the system through the vehicle network; conduct real-time fault detection on the vehicle, obtain the vehicle's real-time data (such as engine data, brake system data, battery status, etc.) through the OBD (On-Board Diagnostic) interface, and read fault codes (Pxxxx: engine-related faults; Cxxxx: chassis system faults; Bxxxx: body control module faults; Uxxxx: network communication faults), including but not limited to: engine unit: such as engine speed, temperature, oil pressure, etc.; brake system: brake pad wear condition, brake oil pressure, etc.; transmission system: transmission status, drive system health, etc.; electrical system: battery voltage, charge status, lighting system, etc.; air quality and filtration system: air filter status, emission sensor data, etc.; and transmit the obtained vehicle real-time data to the cloud for analysis by the vehicle's on-board cloud processor;

[0056] Analyze the real-time data of the vehicle: When the engine-related fault code Pxxxx is read, obtain the engine unit data for analysis; when the chassis system fault code Cxxxx is read, obtain the chassis system data for analysis; and so on; and according to the classification of the fault codes, the system will obtain the real-time data from the relevant modules; when the engine-related fault code Pxxxx is read, the system will automatically extract the operating data of the engine (such as speed, temperature, oil pressure, etc.) and compare it with the standard value for abnormality judgment; when the chassis system fault code Cxxxx is read, the system automatically extracts the sensor data of the braking system and the suspension system to check for faults; if there are faults, compare the current data with the vehicle's historical data to determine whether there are abnormal changes; through training with a large amount of labeled historical fault data, the system can learn the data characteristics of different fault types (such as engine faults, transmission system faults, braking system faults, etc.); compare the similarity between the real-time collected data or historical data and the data corresponding to the data characteristics of different fault types. If the similarity between the two reaches 90%, generate a repair instruction for the corresponding location; similarly, the system sends a repair reminder notice to the customer's vehicle APP account, and at the same time, the in-vehicle car machine also displays a repair reminder to the customer; if the customer does not view the notice, the after-sales personnel will obtain the customer's contact information based on the vehicle information and make a phone reminder; it should be noted that: the system uses historical fault data for training to establish a mathematical model for various fault modes; for example, based on the real-time data of the engine, train a model to predict the probability of engine faults; based on the data of the braking system, predict possible problems with the braking system and generate corresponding processing instructions. The system sends a processing reminder notice to the customer's vehicle APP account, and at the same time, the in-vehicle car machine also displays a processing reminder to the customer; prevent further deterioration;

[0057] The processing execution module is used to further process the generated repair instructions for the corresponding location and vehicle maintenance instructions; when the customer has been notified to perform maintenance or repair, the customer makes an appointment on the vehicle App or the in-vehicle car machine, or contacts the after-sales personnel for an appointment; and the customer selects to pick up the car for maintenance or repair at home or drive to the repair station by himself, or other methods (such as providing a courtesy car service, a delayed maintenance service, etc., which are flexibly arranged according to the customer's needs and policies); when the appointment time is determined, display the progress of the repair or maintenance process in the in-vehicle APP:

[0058] 1. When the customer completes the appointment through the in-vehicle APP or by phone, the system will first confirm the appointment time, location and service content, and display the "Appointment Confirmed" status in the APP; Status: Appointment made, confirmation in progress; Display content: Show information such as the appointment time, repair item, service outlet address, etc.; Progress reminder: Such as "Your appointment has been confirmed. The service will be carried out on XX date. Please stay tuned."

[0059] 2. If the customer chooses door-to-door vehicle pick-up, the system will display the specific progress of the pick-up: Status: Pick-up arranged, pick-up in progress, pick-up completed; Display content: Show the estimated pick-up time, current dispatching status (such as "The driver has set off"), and the real-time pick-up location can be viewed; Progress prompt: Such as "The pick-up staff has set off, please ensure that the vehicle is ready for pick-up." or "The pick-up has been completed, and the vehicle has been transported to the repair shop."

[0060] 3. When the vehicle arrives at the repair shop or starts repair / maintenance, the system will display each link of the service progress, and the customer can view it in real time: Status: Repairing, maintaining; Display content: Specific repair or maintenance items (such as "Engine inspection in progress", "Brake replacement in progress"), and the estimated completion time; Progress prompt: Such as "The repair is in progress, and the estimated completion time is XX o'clock;" or "The maintenance service is in progress, please wait patiently."

[0061] 4. When the repair or maintenance is completed, the system will display the "Service completed" status and provide a detailed service summary: Status: Service completed, waiting for pick-up; Display content: The completion of the service, listing the completed repair items and replaced parts; Progress prompt: "Your repair / maintenance has been completed, and the vehicle can be picked up."

[0062] 5. If the customer chooses to pick up the vehicle by themselves, the system will prompt the available time and location for pick-up; If it is door-to-door vehicle delivery, the system will update the delivery progress in real time: Status: Delivering, delivered; Display content: Delivery progress, estimated arrival time, and the current location of the vehicle; Progress prompt: "Your vehicle has set off and is expected to be delivered in XX minutes."

[0063] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to only the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the art in the relevant technical field can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An Internet-based automobile sales service system, comprising: Sales information database and customer information management module; characterized in that: The sales information database is used to intelligently match the optimal solution; obtain and combine the location information provided by the customer to determine the delivery time requirement; identify the vehicle type, inventory location and delivery-related restrictions, and query the existing vehicle inventory in the 4S store or warehouse; use GIS to calculate the distances between the customer location and the 4S store, logistics center and vehicle inventory warehouse, denoted as L1, L2 and L3 respectively; calculate the transportation costs of each solution; and obtain the optimal delivery solution based on the delivery cost, delivery time and the number of unmet customer preferences. The customer information management module is used to perform intelligent maintenance reminders for vehicles and intelligent repair diagnosis on vehicles, specifically: Perform intelligent maintenance reminders for vehicles; analyze according to the driving mileage and usage of the vehicle; then analyze according to the customer's driving habits to obtain the driving habit coefficient; then analyze according to the driving environment of the vehicle to obtain the environmental factor factor, and obtain vehicle maintenance instruction 1 or vehicle maintenance instruction 2 or vehicle maintenance instruction 3 based on the driving mileage, fuel consumption, driving habit coefficient and environmental factor factor. Perform intelligent repair diagnosis on the vehicle, perform fault diagnosis based on the in-vehicle computer of the vehicle, and connect to the system through the vehicle network; perform real-time fault detection on the vehicle, obtain the real-time data of the vehicle through the OBD interface, and read the fault code; transmit the obtained real-time data of the vehicle to the cloud, and analyze it through the in-vehicle cloud processor of the vehicle to generate corresponding location repair instructions.

2. The automotive sales service system based on the Internet according to claim 1, wherein It also includes a processing and execution module and a service module; The processing and execution module is responsible for arranging and tracking the progress of services according to the customer's repair or maintenance appointment; and updating the progress of picking up the vehicle, delivering the vehicle, repairing or maintaining in real time, including the estimated time and current location; when the service is completed, automatically display the service completion status and provide a detailed service summary prompt label. The service module is responsible for providing personalized vehicle delivery services according to the delivery method selected by the customer, and at the same time managing after-sales services; the service module is also responsible for intelligent maintenance reminders, fault detection and repair reminders, and automatically generating maintenance and repair instructions by analyzing vehicle data.

3. An Internet-based automobile sales service system according to claim 1, characterized in that, The specific process of intelligently matching the optimal solution is as follows: Obtain and combine the location information provided by the customer to determine the delivery time requirement; identify the vehicle type, inventory location and delivery-related restrictions, and query the existing vehicle inventory in the 4S store or warehouse; use GIS to calculate the distances between the customer location and the 4S store, logistics center and vehicle inventory warehouse, denoted as L1, L2 and L3 respectively. If there is no vehicle in stock at the 4S store, calculate the distance between the vehicle inventory warehouse and the 4S store and then add the distance between the customer's location and the 4S store, denoted as L1'; calculate the transportation costs of each plan, including labor costs, fuel costs, and tolls; through the established cost formula: Output the self-pickup cost C of the 4S store A and the door-to-door delivery cost C B and the logistics distribution cost C C ; C h is the labor cost, C h =R h ×T h , the hourly wage R of the delivery staff h multiplied by the time T required for delivery h ; C f is the fuel cost, C f =D×F C ×P f , the mileage D multiplied by the fuel consumption per 100 kilometers F C multiplied by the fuel unit price P f ; C t is the toll, C t =∑Toll i , calculate the total sum of tolls passing through all toll stations; C l is the logistics cost, C l =R l ×D, the logistics company charges by the kilometer R l multiplied by the total driving distance D; C s is the warehousing cost, the cost R of the vehicle parked in the warehouse s multiplied by the number of parking days T s ; Based on the values of the delivery cost C, delivery time T and the number of unmet customer preferences P, calculate the optimal delivery solution, and output the optimal delivery solution coefficient S through S = ω1×C + ω2×T + ω3×P, where ω1, ω2, ω3 are weights; different delivery solutions are all calculated to obtain the corresponding optimal delivery solution coefficients S, compare them, sort them from small to large, and screen out several delivery solutions corresponding to the optimal delivery solution coefficients S, and send them to the customer's mobile terminal, and finally the customer selects the delivery solution.

4. An Internet-based automobile sales service system according to claim 1, characterized in that, The specific process of obtaining the driving habit coefficient H by analyzing the customer's driving habits is as follows: It affects the lifespan of the vehicle according to the driving habits of the customer; by H = A q × η1 + A j × η2 + A t × η3 + S c × η4 outputs the driving habit coefficient H, where A q is the frequency of hard braking; A j is the frequency of hard acceleration; A t is the frequency of sharp turns; S c is the frequency of speeding; η1, η2, η3, and η4 are all weights.

5. An Internet-based automobile sales service system according to claim 4, characterized in that, The specific process of obtaining the environmental factor E through the analysis based on the driving environment of the vehicle is as follows: If the vehicle operates in a high-temperature, humid or cold environment, by: E = (T 外 + T 内 ) × λ1 + SD × λ2 + (R 污 + R 尘 ) × λ3 + Hb × λ4 Output the environmental factor E, where T 外 is the value of the external temperature; T 内 is the value of the vehicle interior temperature; SD is the value of the humidity factor; R 污 is the value of the air pollution index; R 尘 is the value of the air dust factor; Hb is the value of the altitude; λ1, λ2, λ3, and λ4 are all weights.

6. The Internet-based automobile sales service system according to claim 5, wherein The specific process of analyzing based on the driving mileage, fuel consumption, driving habit coefficient and environmental factor is as follows: Compare the driving mileage M, fuel consumption F, driving habit coefficient H and environmental factor E with the corresponding comparison thresholds respectively: Output 1, 2, 3, where M’ is the preset maintenance mileage of the vehicle, Fy is the fuel consumption threshold, Hy is the driving habit threshold, and Ey is the environmental factor threshold; if the output is 1, a vehicle maintenance instruction will be generated and executed, if the output is 2, a vehicle maintenance instruction two will be generated and executed, and if the output is 3, a vehicle maintenance instruction three will be generated and executed.

7. An Internet-based automobile sales service system according to claim 1, characterized in that, The specific process of performing intelligent maintenance diagnosis on the vehicle is as follows: Perform fault diagnosis based on the vehicle's on-board computer and connect to the system through the vehicle network; perform real-time fault detection on the vehicle, obtain the real-time data of the vehicle through the OBD interface, and read the fault code. Transmit the obtained real-time data of the vehicle to the cloud and analyze it through the vehicle's on-board cloud processor: When an engine-related fault code is read, obtain the engine unit data for analysis; when a chassis system fault code is read, obtain the chassis system data for analysis; and so on; and according to the classification of the fault codes, obtain the real-time data from the relevant modules; when an engine-related fault code is read, automatically extract the operating data of the engine and compare it with the standard value for anomaly judgment; when a chassis system fault code is read, automatically extract the sensor data of the braking system and the suspension system to check for faults; if there are faults, compare the current data with the vehicle's historical data to determine whether there are abnormal changes; through training with a large amount of labeled historical fault data, learn the data characteristics of different fault types; Compare the similarity between the real-time collected data or historical data and the data corresponding to the data characteristics of different fault types. If the similarity between the two reaches 90%, generate a repair instruction for the corresponding location.

8. An Internet-based automobile sales service system according to claim 2, characterized in that, The specific process of arranging and tracking the progress of services according to the customer's repair or maintenance appointment is as follows: When the customer completes the appointment through the in-vehicle APP or phone, first confirm the appointment time, location and service content, and display the appointment confirmation status in the APP; If the customer chooses to pick up the vehicle at home, display the specific progress of the pick-up; When the vehicle arrives at the repair shop or starts repair / maintenance, display each link of the service progress for the customer to view in real time; When the repair or maintenance is completed, display the service completion status and provide a detailed service summary; If the customer chooses to pick up the vehicle by themselves, prompt the available time and location for pick-up; if it is a door-to-door delivery of the vehicle, update the delivery progress in real time.

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