Improved clue determination method and system for automobile brands

Abstract

The present invention relates to the technical field of automobile brand improvement, and specifically discloses a method and system for determining improvement clues for automobile brands. The method comprises the following steps: constructing a user database based on automobile brand user information, receiving a clue voice package sent by an automobile end; receiving clue text information uploaded by a 4S store end; integrating the clue voice package and the clue text information to determine initial improvement clues and improvement directions for a required vehicle model and time; sending the initial improvement clues and improvement directions to the automobile end, and receiving clue confirmation results sent by the automobile end; determining final improvement clues based on the clue confirmation results, issuing preferential discounts to automobile end users and 4S store ends based on the final improvement clues, directly connecting with automobile drivers by sending invitations to the automobile end, and reducing the work of user text editing by inputting user voice packages, thereby improving the success rate of clue collection.

Description

Technical Field

[0001] The invention relates to the technical field of automobile brand improvement, and in particular to a method and system for determining improvement clues for automobile brands. Background Art

[0002] When updating car models or time models, automobile brands will fully consider the feedback from actual vehicle drivers and update the corresponding car models or time models. However, due to the limited form of feedback, most of the feedback is provided through online platforms, and it is not certain whether the feedback provider is the actual driver of the vehicle, and it is also easy to follow the trend. Secondly, individual feedback providers cannot represent the vast majority of actual car model drivers, and it is easy to make the mistake of generalizing, resulting in the improved vehicles not receiving positive evaluations from consumers.

[0003] In addition, existing car brands will also obtain improvement clues through evaluation by evaluation agencies when updates are needed, but short-term driving evaluations cannot represent the long-term driving experience of consumers. Summary of the invention

[0004] The object of the present invention is to provide an improved clue determination method and system for automobile brands to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for determining improved clues for automobile brands, the method comprising:

[0006] Acquire automobile brand user information in real time and build a user database based on the automobile brand user information, wherein the user information includes mobile phone number and vehicle frame number;

[0007] Send a clue entry request to the car end, and receive the clue voice package sent by the car end;

[0008] Receive clue text information uploaded by the 4S store;

[0009] Integrate the clue voice package and clue text information and filter according to the frame number to determine the initial improvement clues and improvement direction of the required model and time;

[0010] Send the initial improvement clues and improvement directions to the vehicle end, and receive the clue confirmation results sent by the vehicle end;

[0011] The final improvement leads are determined based on the lead confirmation results, and preferential discounts are issued to car users and 4S stores based on the final improvement leads.

[0012] As a further solution of the present invention, the step of sending a clue entry request to the vehicle end and receiving a clue voice package sent by the vehicle end specifically includes:

[0013] Send a clue entry request to the car end;

[0014] Acquire the mileage of the vehicle, and determine the first credibility based on the mileage;

[0015] Receive the clue voice package sent by the car.

[0016] As a further solution of the present invention, the step of receiving the clue text information uploaded by the 4S store specifically includes:

[0017] Obtain the historical maintenance record database in the 4S shop in real time, which includes the identity information of the maintenance personnel and the corresponding frame number of the maintenance vehicle;

[0018] Calculate the number of vehicle models and time required for maintenance by a single maintenance personnel based on the vehicle frame number of the maintenance vehicle;

[0019] Screening out a number of maintenance personnel based on a preset quantity threshold;

[0020] Determining a second credibility of a single maintenance personnel based on the number of vehicle model time payments required by the single maintenance personnel for maintenance;

[0021] Send a clue collection invitation to the maintenance personnel, and receive clue text information uploaded by the 4S store, wherein the clue text information includes the maintenance personnel's identity information, the second credibility, and clue description information.

[0022] As a further solution of the present invention, the steps of integrating the clue voice package and the clue text information and screening according to the frame number to determine the initial improvement clues and improvement directions of the required vehicle model and time model specifically include:

[0023] Perform voice recognition on the clue voice package to determine the clue corresponding to a single car end, and filter out the target clue according to the required car model and time model;

[0024] Integrate target clues and clue text information;

[0025] sorting the integrated target clues and clue text information based on the first credibility and the second credibility;

[0026] Conduct feasibility analysis of improvements based on the sorting results and determine the direction of improvement;

[0027] Determine initial improvement leads based on improvement feasibility analysis results.

[0028] As a further solution of the present invention, the step of sending the initial improvement clue and the improvement direction to the vehicle end and receiving the clue confirmation result sent by the vehicle end specifically includes:

[0029] Send the initial improvement clues and improvement directions to the car end of the required model and time;

[0030] Receive tolerance and recognition data sent by the car;

[0031] Integrate tolerance and identification data to generate clue confirmation results.

[0032] As a further solution of the present invention, the step of integrating the tolerance and recognition data to generate clue confirmation results specifically includes:

[0033] Sorting the initial improvement clues based on the tolerance data to generate initial improvement clue sorting results;

[0034] Determine the improvement direction results of the initial improvement clue ranking results based on the recognition data;

[0035] Generate lead confirmation results based on the improvement direction results and the initial improvement lead ranking results.

[0036] As a further solution of the present invention, the steps of determining the final improvement clue based on the clue confirmation result and issuing preferential discounts to the automobile end user and the 4S store end based on the final improvement clue specifically include:

[0037] Adjust the improvement direction based on the clue confirmation results;

[0038] Send the adjustment result to the vehicle end, and receive the receipt information sent by the vehicle end;

[0039] Generate final improvement clues and directions based on receipt information and clue confirmation results;

[0040] Based on the final improvement clues, the list of car-end users and 4S store-end users is determined, and preferential discounts are issued based on the list of car-end users and 4S store-end users.

[0041] The present invention also provides a system for determining improved clues for automobile brands, the system comprising:

[0042] A user database construction module is used to obtain automobile brand user information in real time and to construct a user database based on the automobile brand user information;

[0043] A voice packet acquisition module is used to send a clue entry request to the car end and receive the clue voice packet sent by the car end;

[0044] The 4S store collection module is used to receive clue text information uploaded by the 4S store;

[0045] Integration module, used to integrate clue voice packages and clue text information and screen according to the frame number to determine the initial improvement clues and improvement directions of the required model and time;

[0046] A clue confirmation result generation module is used to send the initial improvement clue and the improvement direction to the vehicle end, and receive the clue confirmation result sent by the vehicle end;

[0047] The improvement clue determination module is used to determine the final improvement clue based on the clue confirmation result, and to issue preferential discounts to automobile users and 4S stores based on the final improvement clue.

[0048] As a further solution of the present invention, the voice packet acquisition module specifically includes:

[0049] An input unit, used to send a clue input request to the car end;

[0050] A first credibility confirmation unit, used to obtain the mileage of the vehicle end and determine a first credibility based on the mileage;

[0051] The voice packet receiving unit is used to receive the clue voice packet sent by the car end.

[0052] As a further solution of the present invention, the 4S store collection module specifically includes:

[0053] A maintenance record acquisition unit is used to acquire a historical maintenance record library in a 4S shop in real time, wherein the historical maintenance record library includes the identity information of the maintenance personnel and the corresponding frame number of the maintenance vehicle;

[0054] A maintenance quantity determination unit, used to calculate the number of vehicle model time and money required for maintenance by a single maintenance personnel based on the vehicle frame number of the maintenance vehicle;

[0055] A maintenance personnel determination unit, used to screen out a number of maintenance personnel based on a preset quantity threshold;

[0056] A first credibility determination unit is used to determine a second credibility of a single maintenance personnel based on the number of vehicle model time payments required for maintenance by the single maintenance personnel;

[0057] The clue receiving unit is used to send a clue collection invitation to the maintenance personnel and receive clue text information uploaded by the 4S store. The clue text information includes the identity information of the maintenance personnel, the second credibility, and clue description information.

[0058] Compared with the prior art, the beneficial effects of the present invention are: the vehicle model and time model can be identified by the frame number, so that the car users of the required vehicle model and time model can be quickly screened out; secondly, in the process of collecting clues on the car side, by sending an invitation to the car side and displaying it on the dashboard, the car driver can be directly connected, and the direction is more accurate; in addition, the input of the user's voice package can reduce the user's work of editing text, which can make the clue collection process simpler and improve the success rate of clue collection; secondly, the entry request is attached with the corresponding 4S store repair or maintenance discount after adoption, so as to improve the enthusiasm of the car-side users to enter clues; by sending the improvement direction to the car side, the direct attitude of the user after the improvement can be anticipated, so that the benefits after the improvement can be estimated. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0060] Figure 1 A flowchart of an improved clue determination method for automobile brands provided by an embodiment of the present invention.

[0061] Figure 2 A flowchart of the steps of sending a clue entry request to a vehicle end and receiving a clue voice package sent by the vehicle end provided in an embodiment of the present invention.

[0062] Figure 3 A flowchart of the steps of receiving clue text information uploaded by a 4S store provided in an embodiment of the present invention.

[0063] Figure 4 A flowchart of the steps of integrating clue voice packages and clue text information and screening according to the frame number to determine the initial improvement clues and improvement direction of the required vehicle model and time model provided in the embodiment of the present invention.

[0064] Figure 5 A flowchart of the steps of sending initial improvement clues and improvement directions to a vehicle end and receiving clue confirmation results sent by the vehicle end is provided in an embodiment of the present invention.

[0065] Figure 6 A flowchart of the steps of determining final improvement clues based on clue confirmation results and issuing preferential discounts to automobile users and 4S stores based on the final improvement clues provided in an embodiment of the present invention.

[0066] Figure 7 A structural block diagram of a system for determining improved clues for automobile brands provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0067] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0068] Figure 1 The flowchart of a method for determining improved clues for automobile brands is shown in the figure. In an embodiment of the present invention, a method for determining improved clues for automobile brands includes:

[0069] Step S100, obtaining automobile brand user information in real time, and building a user database based on the automobile brand user information, wherein the user information includes a mobile phone number and a vehicle frame number;

[0070] Step S200, sending a clue entry request to the vehicle end, and receiving a clue voice packet sent by the vehicle end;

[0071] Step S300, receiving clue text information uploaded by the 4S store;

[0072] Step S400, integrating the clue voice package and clue text information and screening them according to the vehicle frame number to determine the initial improvement clues and improvement directions of the required vehicle model and time model;

[0073] Step S500, sending the initial improvement clue and the improvement direction to the vehicle end, and receiving the clue confirmation result sent by the vehicle end;

[0074] Step S600, determining the final improvement clue based on the clue confirmation result, and issuing preferential discounts to the automobile end user and the 4S store end based on the final improvement clue.

[0075] In this embodiment, by obtaining the user information of the car brand, the user can be notified of the car model update through the mobile phone number, which also serves as the account identification of the car-side user. The frame number serves as the unique ID card of the car, and the model, production time and other information can be read from the frame number. The model and time can be identified through the frame number, so that the car-side users of the required model and time can be quickly screened out. Secondly, in the process of collecting clues on the car side, by sending an invitation to the car side and displaying it on the dashboard, the car driver can be directly connected, and the pointing is more accurate. In addition, the input of the user's voice package can reduce the user's work of editing text, which can make the clue collection process simpler and improve the success rate of clue collection. Secondly, the entry request is attached with the corresponding 4S store repair or maintenance discount after adoption, so as to improve the enthusiasm of the car-side users to enter clues. By integrating the clues on the car side, when a certain model and time are needed, When collecting improvement clues, the above-mentioned car-side clues can be screened to obtain corresponding clues, and corresponding improvement clues can be collected from the 4S store side based on a certain car model and time model. Then, the improvement clues collected from the 4S store side and the car side are integrated to generate initial improvement clues, and the corresponding improvement directions are determined according to the initial improvement clues. By sending the initial improvement clues and improvement directions to the car side again, the final clues and improvement directions can be confirmed, so that all clue feedback can be obtained. By sending the improvement directions to the car side, the direct attitude of the user after the improvement can be anticipated, and the benefits after the improvement can be estimated. The final improvement clues are generated according to the final confirmation results of the car-side users, and the clue providers are reversely confirmed through the final improvement clues, and corresponding discounts are sent to the corresponding personnel. The discounts for car-side users are the repair and maintenance discounts or vouchers of the 4S store, and the discounts for the 4S store side are the manufacturer's purchase discounts.

[0076] like Figure 2 As shown, as a preferred embodiment of the present invention, the step of sending a clue entry request to the vehicle end and receiving a clue voice package sent by the vehicle end specifically includes:

[0077] Step S201, sending a clue entry request to the car end;

[0078] Step S202, obtaining the mileage of the vehicle, and determining a first credibility based on the mileage;

[0079] Step S203, receiving the clue voice packet sent by the car end.

[0080] In this embodiment, in the process of collecting clues from the user side, considering that the user whose user information is collected may not be the actual driver of the car, a clue entry request is sent to the car side, and the clue entry request is sent to the dashboard of the car side. The request is responded to by the buttons on the steering wheel. The response can be a rejection or an agreement. At this time, after the driver agrees to the request, the recording function is turned on to provide convenience for the driver. Voice input can be performed when the vehicle is stationary and the ignition is on. The recording function provides a recording carrier through the driving recorder. Secondly, the first credibility is determined by obtaining the mileage displayed on the dashboard. The first credibility value is a preset value. Considering that the users' mileage is inconsistent and thus their understanding of the vehicle is different, the clues provided by the car side are given credibility through the mileage to facilitate the determination of the final clues.

[0081] like Figure 3 As shown, as a preferred embodiment of the present invention, the step of receiving the clue text information uploaded by the 4S store specifically includes:

[0082] Step S301, obtaining a historical maintenance record database in a 4S shop in real time, wherein the historical maintenance record database includes identity information of maintenance personnel and corresponding frame number of the maintenance vehicle;

[0083] Step S302, calculating the number of vehicle model time and money required for maintenance by a single maintenance personnel based on the vehicle frame number of the maintenance vehicle;

[0084] Step S303, screening out a number of maintenance personnel based on a preset quantity threshold;

[0085] Step S304, determining the second credibility of the single maintenance personnel based on the number of vehicle models and time required for maintenance by the single maintenance personnel;

[0086] Step S305, sending a clue collection invitation to the maintenance personnel, and receiving clue text information uploaded by the 4S store, wherein the clue text information includes the maintenance personnel identity information, the second credibility, and clue description information.

[0087] In this embodiment, by obtaining clue information from the 4S store, first, a historical maintenance record library of the 4S store is obtained, the historical maintenance record library includes the identity information of the maintenance personnel, the maintenance reason and the corresponding frame number of the maintenance vehicle, and the maintenance records of the required model and time are screened out through the frame number in the historical maintenance record library. The number of repairs performed by each maintenance personnel is calculated according to the above maintenance records, and the second credibility is assigned to the maintenance personnel according to the number of repairs performed by the maintenance personnel. It can be known that the more the number of repairs for the same model and time, the higher the credibility of the clue provided, and improvement suggestions can be provided from the perspective of repair. The preset number threshold is 20, and a list of several maintenance personnel who meet the requirements is screened out. According to the screened list of maintenance personnel, a clue collection invitation is sent to the corresponding personnel, and the clue collection invitation is attached with an adoption reward, which is filled in by the 4S store and can be in the form of performance reward. Clue text information is generated based on the clue description information filled in by the maintenance personnel, the second credibility and the identity information of the maintenance personnel.

[0088] like Figure 4 As shown, as a preferred embodiment of the present invention, the steps of integrating the clue voice package and the clue text information and screening according to the frame number to determine the initial improvement clues and improvement direction of the required vehicle model and time model specifically include:

[0089] Step S401, performing voice recognition on the clue voice package to determine the clue corresponding to a single car end, and filtering out the target clue according to the required car model and time;

[0090] Step S402, integrating the target clue and the clue text information;

[0091] Step S403, sorting the integrated target clues and clue text information based on the first credibility and the second credibility;

[0092] Step S404, performing improvement feasibility analysis based on the sorting results and determining the improvement direction;

[0093] Step S405: determining initial improvement clues based on the improvement feasibility analysis results.

[0094] In this embodiment, the voice package input by the driver of the car is recognized to convert the voice information into text information, and then the target clues of the required model and time are obtained by screening all the car ends according to the frame number, the obtained target clues and the clue description information in the clue text information are integrated and classified, and the overall credibility of a single clue is calculated. The overall credibility is the sum of the first credibility and the second credibility of all car ends and all maintenance personnel. For example, one of the clues is "there is an abnormal sound when braking", which is proposed by 6 car end users, and its first credibility is 0.5, 1 , 0.8, 2, 1.5, 0.9, therefore, the overall credibility of the clue "abnormal brake noise" is 6.7. The clues are sorted according to the calculated overall credibility, and the sorting results are sent to the design department of the automobile brand. The feasibility is judged based on the clue information and the sorting results. If the clue is feasible, an improvement direction is generated. If the clue is not feasible, the clue is eliminated. It can be seen that not all clues have improvement measures, which involve factors such as cost and technical barriers. The initial improvement clues are generated according to the feasibility judgment results, and the initial improvement clues are the results after eliminating the infeasible clues.

[0095] like Figure 5 As shown, as a preferred embodiment of the present invention, the step of sending the initial improvement clues and improvement directions to the vehicle end and receiving the clue confirmation result sent by the vehicle end specifically includes:

[0096] Step S501, sending the initial improvement clues and improvement directions to the car end of the required model and time;

[0097] Step S502, receiving tolerance and recognition data sent by the vehicle end;

[0098] Step S503: Integrate the tolerance and recognition data to generate a clue confirmation result.

[0099] In this embodiment, first, the car end of the required model and time model is screened out according to the user database, and then the initial improvement clues and improvement directions are sent to the screened car end. Considering that in the process of collecting clues from the car end, it is inevitable that the car end user will miss something during the voice recording process, therefore, the integrated initial improvement clues are sent to the car end for confirmation. The tolerance represents the tolerance limit that the clue can bear for the car end user. For example, if a clue is "small rear space", half of the car end users think it is insignificant and can be tolerated, with a tolerance of 80%. Some car end users think it is intolerable and urgently needs to be improved, with a tolerance of 0%. The tolerance also represents the tolerance limit of the clue. The urgency of improvement of the clue is considered. Considering that the improved car may still fail to meet the user's expectations after the improvement, the improvement direction is sent to the car-side users. The recognition represents the satisfaction with the improvement direction. For example, the improvement direction of the above clue is "lengthen the rear longitudinal space by 20%", and the recognition reaches 100%. Therefore, this clue can be implemented, and the user evaluation after implementation is predictable. The tolerance and recognition data of all car-side users are collected and integrated to generate the final tolerance and recognition data. The final clue confirmation result is determined based on the final tolerance and recognition data, and the clue confirmation result is the first few clues with lower tolerance.

[0100] As a preferred embodiment of the present invention, the step of integrating the tolerance and recognition data to generate clue confirmation results specifically includes:

[0101] Sorting the initial improvement clues based on the tolerance data to generate initial improvement clue sorting results;

[0102] Determine the improvement direction results of the initial improvement clue ranking results based on the recognition data;

[0103] Generate lead confirmation results based on the improvement direction results and the initial improvement lead ranking results.

[0104] In this embodiment, by sorting the tolerance data, the tolerance and sorting results corresponding to each clue in the initial improvement clues are generated, and the improvement direction is determined according to the sorting results. When the recognition of the improvement direction of a single clue is lower than the preset threshold, the improvement direction of the clue is blank. When the recognition of the improvement direction of a single clue is higher than or equal to the preset threshold, the improvement direction of the clue is the originally determined improvement direction. The clue confirmation result is generated through the improvement direction and the initial improvement clue sorting results.

[0105] like Figure 6As shown, as a preferred embodiment of the present invention, the steps of determining the final improvement clue based on the clue confirmation result and issuing preferential discounts to the automobile end user and the 4S store end based on the final improvement clue specifically include:

[0106] Step S601, adjusting the improvement direction based on the clue confirmation result;

[0107] Step S602, sending the adjustment result to the vehicle end, and receiving the receipt information sent by the vehicle end;

[0108] Step S603, generating final improvement clues and improvement directions based on the receipt information and clue confirmation results;

[0109] Step S604, determining a list of automobile-side users and a list of 4S stores based on the final improvement clues, and issuing preferential discounts based on the list of automobile-side users and the list of 4S stores.

[0110] In this embodiment, the improvement direction is updated and adjusted according to the improvement direction results in the clue confirmation results, and the improvement direction is sent to the car end again until the recognition degree in the receipt information reaches a preset threshold, and then the final improvement clues and improvement directions are determined through the receipt information and the clue confirmation results, and the final improvement clues and improvement directions are sent to the design department of the car brand, so as to carry out design from multiple angles such as car performance and appearance.

[0111] like Figure 7 As shown, an embodiment of the present invention further provides a system for determining improvement clues for automobile brands, the system comprising:

[0112] The user database construction module 100 is used to obtain automobile brand user information in real time and construct a user database based on the automobile brand user information;

[0113] The voice packet acquisition module 200 is used to send a clue entry request to the vehicle end and receive the clue voice packet sent by the vehicle end;

[0114] The 4S store collection module 300 is used to receive clue text information uploaded by the 4S store;

[0115] An integration module 400 is used to integrate the clue voice package and the clue text information and screen them according to the vehicle frame number to determine the initial improvement clues and improvement directions of the required vehicle model and time model;

[0116] The clue confirmation result generating module 500 is used to send the initial improvement clue and the improvement direction to the vehicle end, and receive the clue confirmation result sent by the vehicle end;

[0117] The improvement clue determination module 600 is used to determine the final improvement clue based on the clue confirmation result, and issue preferential discounts to the automobile end user and the 4S store end based on the final improvement clue.

[0118] As a preferred embodiment of the present invention, the voice packet acquisition module specifically includes:

[0119] An input unit, used to send a clue input request to the car end;

[0120] A first credibility confirmation unit, used to obtain the mileage of the vehicle end and determine a first credibility based on the mileage;

[0121] The voice packet receiving unit is used to receive the clue voice packet sent by the car end.

[0122] As a preferred embodiment of the present invention, the 4S store collection module specifically includes:

[0123] A maintenance record acquisition unit is used to acquire a historical maintenance record library in a 4S shop in real time, wherein the historical maintenance record library includes the identity information of the maintenance personnel and the corresponding frame number of the maintenance vehicle;

[0124] A maintenance quantity determination unit, used to calculate the number of vehicle model time and money required for maintenance by a single maintenance personnel based on the vehicle frame number of the maintenance vehicle;

[0125] A maintenance personnel determination unit, used to screen out a number of maintenance personnel based on a preset quantity threshold;

[0126] A first credibility determination unit is used to determine a second credibility of a single maintenance personnel based on the number of vehicle model time payments required for maintenance by the single maintenance personnel;

[0127] The clue receiving unit is used to send a clue collection invitation to the maintenance personnel and receive clue text information uploaded by the 4S store. The clue text information includes the identity information of the maintenance personnel, the second credibility, and clue description information.

[0128] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for determining improved clues for automobile brands, characterized in that: The method comprises: Acquire automobile brand user information in real time and build a user database based on the automobile brand user information, wherein the user information includes mobile phone number and vehicle frame number; Send a clue entry request to the car end, and receive the clue voice package sent by the car end; Receive clue text information uploaded by the 4S store; Integrate the clue voice package and clue text information and filter according to the frame number to determine the initial improvement clues and improvement direction of the required model and time; Send the initial improvement clues and improvement directions to the vehicle end, and receive the clue confirmation results sent by the vehicle end; Determine the final improvement clues based on the clue confirmation results, and issue discounts to car users and 4S stores based on the final improvement clues; The step of receiving the clue text information uploaded by the 4S store specifically includes: Obtain the historical maintenance record database in the 4S shop in real time, which includes the identity information of the maintenance personnel and the corresponding frame number of the maintenance vehicle; Calculate the number of vehicle models and time required for maintenance by a single maintenance personnel based on the vehicle frame number of the maintenance vehicle; Screening out a number of maintenance personnel based on a preset quantity threshold; Determining a second credibility of a single maintenance personnel based on the number of vehicle model time payments required by the single maintenance personnel for maintenance; Send a clue collection invitation to the maintenance personnel, and receive clue text information uploaded by the 4S shop, wherein the clue text information includes the maintenance personnel's identity information, the second credibility, and clue description information; The step of sending the initial improvement clue and the improvement direction to the vehicle end and receiving the clue confirmation result sent by the vehicle end specifically includes: Send the initial improvement clues and improvement directions to the car end of the required model and time; Receive tolerance and recognition data sent by the car; Integrate tolerance and identification data to generate clue confirmation results.

2. The method for determining improvement clues for automobile brands according to claim 1, characterized in that: The step of sending a clue entry request to the vehicle end and receiving a clue voice package sent by the vehicle end specifically includes: Send a clue entry request to the car end; Acquire the mileage of the vehicle, and determine the first credibility based on the mileage; Receive the clue voice package sent by the car.

3. The method for determining improvement clues for automobile brands according to claim 2, characterized in that: The steps of integrating the clue voice package and the clue text information and screening according to the frame number to determine the initial improvement clues and improvement directions of the required vehicle model and time model specifically include: Perform voice recognition on the clue voice package to determine the clue corresponding to a single car end, and filter out the target clue according to the required car model and time model; Integrate target clues and clue text information; sorting the integrated target clues and clue text information based on the first credibility and the second credibility; Conduct feasibility analysis of improvements based on the sorting results and determine the direction of improvement; Determine initial improvement leads based on improvement feasibility analysis results.

4. The method for determining improved clues for automobile brands according to claim 3, characterized in that: The step of integrating the tolerance and recognition data to generate clue confirmation results specifically includes: Sorting the initial improvement clues based on the tolerance data to generate initial improvement clue sorting results; Determine the improvement direction results of the initial improvement clue ranking results based on the recognition data; Generate lead confirmation results based on the improvement direction results and the initial improvement lead ranking results.

5. The method for determining improvement clues for automobile brands according to claim 1, characterized in that: The steps of determining the final improvement clue based on the clue confirmation result and issuing preferential discounts to the automobile end user and the 4S store end based on the final improvement clue specifically include: Adjust the improvement direction based on the clue confirmation results; Send the adjustment result to the vehicle end, and receive the receipt information sent by the vehicle end; Generate final improvement clues and directions based on receipt information and clue confirmation results; Based on the final improvement clues, the list of car-end users and 4S store-end users is determined, and preferential discounts are issued based on the list of car-end users and 4S store-end users.

6. An improved clue determination system for automobile brands, characterized in that: The system comprises: A user database construction module is used to obtain automobile brand user information in real time and build a user database based on the automobile brand user information; A voice packet acquisition module is used to send a clue entry request to the car end and receive the clue voice packet sent by the car end; The 4S store collection module is used to receive clue text information uploaded by the 4S store; Integration module, used to integrate clue voice packages and clue text information and screen according to the frame number to determine the initial improvement clues and improvement directions of the required model and time; A clue confirmation result generation module is used to send the initial improvement clue and improvement direction to the vehicle end, and receive the clue confirmation result sent by the vehicle end; Improvement clue determination module, used to determine the final improvement clue based on the clue confirmation result, and issue preferential discounts to automobile users and 4S stores based on the final improvement clue; The 4S store collection module specifically includes: A maintenance record acquisition unit is used to acquire a historical maintenance record library in a 4S shop in real time, wherein the historical maintenance record library includes the identity information of the maintenance personnel and the corresponding frame number of the maintenance vehicle; A maintenance quantity determination unit, used to calculate the number of vehicle model time and money required for maintenance by a single maintenance personnel based on the vehicle frame number of the maintenance vehicle; A maintenance personnel determination unit, used for screening out a number of maintenance personnel based on a preset quantity threshold; A first credibility determination unit, used to determine a second credibility of a single maintenance personnel based on the number of vehicle model time payments required for maintenance by the single maintenance personnel; The clue receiving unit is used to send a clue collection invitation to the maintenance personnel and receive clue text information uploaded by the 4S store. The clue text information includes the identity information of the maintenance personnel, the second credibility, and clue description information.

7. The method for determining improvement clues for automobile brands according to claim 6, characterized in that: The voice packet acquisition module specifically includes: An input unit, used to send a clue input request to the car end; A first credibility confirmation unit, used to obtain the mileage of the vehicle end and determine a first credibility based on the mileage; The voice packet receiving unit is used to receive the clue voice packet sent by the car end.

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