Automobile renting and selling information processing method, system and device

Abstract

The invention discloses an automobile renting and selling information processing method. The method comprises the following steps that S1, automobile renting and selling information is collected; s2, information processing; s3, information analysis; s4, recommending automobile renting and selling options; s5, pushing automobile renting and selling information; s6, feedback information is collected; s7, performing credit evaluation; s8, payment and contract signing; s9, performing after-sales service; the invention further discloses an automobile renting and selling information processing system which comprises a data acquisition module, a data cleaning module, a data analysis module, an information matching module, an information pushing module, a user feedback module, a credit evaluation module, an online transaction module and an after-sales support module. The invention also discloses an automobile renting and selling information processing device, which comprises a processor, a memory and a network interface, according to the invention, the problem of information asymmetry can be effectively solved, the information processing efficiency and accuracy are improved, better automobile renting and selling information service is provided for users, and the security of transactions and the support of after-sales service are enhanced.

Description

Technical Field

[0001] The present invention belongs to the technical field of automobile services, and in particular relates to a method, system and device for processing automobile rental and sale information. Background Art

[0002] In the car rental and sales industry, information processing is a very important part. With the development of Internet technology, traditional car rental and sales business has gradually shifted to online, which requires the information processing system to not only be able to efficiently and accurately process large amounts of data, but also be able to provide personalized services to meet the needs of different users.

[0003] There are still some problems with the existing methods, systems and devices for processing automobile rental and sales information: 1. In the existing automobile rental and sales market, consumers face the problem of information asymmetry, that is, it is difficult to obtain comprehensive and accurate vehicle information, which affects the decision-making process; 2. The information on the existing platform is not updated in a timely manner, resulting in consumers being unable to quickly obtain the latest rental and sales information; 3. The collected data often has problems such as inconsistent formats, missing values, and outliers. For this reason, we propose a method, system and device for processing automobile rental and sales information. Summary of the invention

[0004] The purpose of the present invention is to provide a method, system and device for processing automobile rental and sale information 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 processing automobile rental and sales information, comprising the following steps:

[0006] S1: Collect car rental and sales information from various channels such as major car trading platforms, social media, and forums through web crawler technology and API interfaces;

[0007] S2: Information processing, using the data cleaning module to clean and standardize the collected information;

[0008] S3: Information analysis, using the data analysis module to analyze the processed information and extract key indicators;

[0009] S4: Recommend car rental and sale options. Based on the analysis results, the information matching module is used to recommend suitable car rental and sale options to users.

[0010] S5: Pushing car rental and sale information, using the information push module to push recommended car rental and sale information to users;

[0011] S6: Collect feedback information: collect user feedback information through the user feedback module to further optimize the recommendation algorithm;

[0012] S7: Credit evaluation, using the credit evaluation module to evaluate the credit rating of users and sellers, providing protection for both parties of the transaction;

[0013] S8: Payment and contract signing: supports secure payment and contract signing through online transaction modules to ensure the transparency and security of the transaction process;

[0014] S9: After-sales service, use the after-sales support module to provide after-sales service and technical support to solve problems encountered by users during use.

[0015] Preferably, the car rental and sale information includes but is not limited to vehicle model, year, mileage, price, maintenance record, insurance information, and owner information.

[0016] Preferably, the specific steps of using the data cleaning module to clean and standardize the collected information in S2 include:

[0017] S201. Data quality check: confirm whether there are missing values ​​in the data, such as empty fields or NULL values; ensure the consistency of data formats, such as date formats and currency units; check whether data values ​​are within a reasonable range;

[0018] S202. Missing value processing: For columns with a high missing value ratio, the deletion method is used to directly delete the column;

[0019] S203. Outlier detection and processing: using the box plot method, outliers are identified by drawing box plots, and outliers are deleted, replaced with boundary values, or corrected to reasonable values;

[0020] S204. Data format unification: Convert all date fields to a unified format, ensure the accuracy of numerical data is consistent, unify upper and lower case, and remove extra spaces and punctuation.

[0021] Preferably, the specific step of using the data cleaning module to clean and standardize the collected information in S2 further includes:

[0022] S205. Duplicate data processing: Use hash functions to identify duplicate records and merge them; if the records are exactly the same, only one is retained; if there are differences, these differences are merged;

[0023] S206. Data transformation: Convert categorical variables to digital codes. For skewed data, use logarithmic transformation, square root transformation or normalization.

[0024] S207. Data integration: Merge multiple data sets into one, ensure the consistency of field names and data types, and resolve conflicts when field conflicts occur during data merging;

[0025] S208. Data review: For some key fields or sensitive information, manual review is performed to ensure the accuracy of the data. The rationality of the data is verified by setting logical rules, such as the price of a vehicle should not be lower than a certain threshold;

[0026] S209. Documentation: Record the detailed steps and parameter settings of each step of data cleaning for tracking and auditing, and save the data versions before and after cleaning for comparison and recovery.

[0027] A car rental and sales information processing system, including a data acquisition module, a data cleaning module, a data analysis module, an information matching module, an information push module, a user feedback module, a credit evaluation module, an online transaction module and an after-sales support module;

[0028] The data collection module is used to collect car rental and sales information;

[0029] The data cleaning module is used to clean and standardize the collected information;

[0030] The data analysis module is used to analyze the processed information and extract key indicators;

[0031] The information matching module is used to recommend suitable car rental and sale options to the user based on the analysis results;

[0032] The information push module is used to push recommended car rental and sale information to users;

[0033] The user feedback module is used to collect user feedback information in order to further optimize the recommendation algorithm;

[0034] The credit evaluation module is used to evaluate the credit rating of users and sellers, providing protection for both parties of the transaction;

[0035] The online transaction module is used to support secure payment and contract signing, ensuring the transparency and security of the transaction process;

[0036] The after-sales support module is used to provide after-sales service and technical support to solve problems encountered by users during use.

[0037] Preferably, the data analysis module uses a machine learning algorithm to analyze the standardized data and extract indicators that are valuable to users. The analysis indicators include vehicle condition scores, market value assessments, maintenance cost forecasts, etc. The data analysis results are presented through visualization tools to facilitate user understanding and comparison;

[0038] The information matching module screens out qualified car rental and sale information according to user preferences and needs, such as budget range, vehicle type, age, etc., and recommends personalized car rental and sale options to users by using collaborative filtering and deep learning technology, and provides sorting and filtering functions so that users can quickly find satisfactory options.

[0039] Preferably, the information push module pushes recommended car rental and sales information to users via email, SMS, and application notification, and supports customized push, where users can choose to receive specific types of push information, and provides instant messaging function, allowing users to communicate directly with sellers;

[0040] The user feedback module collects user feedback information through questionnaires and online comments, uses text mining technology to analyze user feedback, understands user satisfaction and improvement suggestions, adjusts the recommendation algorithm according to the feedback results, and improves the accuracy and satisfaction of recommendations.

[0041] Preferably, the credit evaluation module evaluates the user's credit rating by analyzing the user's transaction history, payment record and social credit information, provides similar services to sellers, ensures that both parties have a good transaction record, and makes the credit evaluation results public to increase the trust of the transaction;

[0042] The online transaction module supports multiple payment methods, provides an electronic contract signing function, ensures that transactions are legal and valid, and uses encryption technology to protect user privacy and transaction security;

[0043] The after-sales support module provides online customer service to answer users' questions during use, supports warranty services, ensures that vehicle quality issues can be resolved in a timely manner, provides vehicle maintenance reminders and appointment services, and helps users maintain their vehicles.

[0044] Preferably, the car rental and sale information includes but is not limited to the vehicle model, year, mileage, price, maintenance record, insurance information, and owner information. The price includes the monthly car rental price, which includes the following formula:

[0045]

[0046] Among them, A is the monthly payment, B is the basic price of the car, C is the tax that needs to be paid to the government when purchasing a new car, D is the tax stipulated by local policies, E is the fee that may exist in some areas, F is the vehicle insurance fee, G is the fee required for vehicle licensing, H is the amount that the customer needs to pay when starting the lease, a is the lease term, usually in months, and b is the loan interest rate.

[0047] A car rental and sales information processing device includes a processor, a memory and a network interface, wherein the processor is used to execute the steps in the above method, the memory is used to store program instructions and data, and the network interface is used to receive and send data.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] (1) The present invention can clean and standardize the collected data by setting up a data cleaning module, thereby ensuring the accuracy and consistency of the information and reducing decision-making errors caused by information errors;

[0050] (2) The present invention provides an information matching module, an information push module and a user feedback module, and utilizes a personalized recommendation algorithm to provide the most relevant car rental and sales information to the user based on the user's historical behavior and preferences, thereby improving user satisfaction. The automated information processing reduces the need for manual intervention, reduces labor costs, and improves work efficiency.

[0051] (3) The present invention simplifies the transaction process and speeds up the transaction by setting up an online transaction module, using technologies such as online payment and electronic contract signing, and uses encryption technology and access control mechanisms to protect user data security and personal privacy, build user trust, and increase security;

[0052] (4) The present invention provides an after-sales support module, which can solve user problems in a timely manner and improve customer loyalty by providing perfect after-sales service and technical support. By providing high-quality services and support, enterprises can stand out in the fiercely competitive market and enhance their market competitiveness.

[0053] (5) The automobile rental and sales information processing method, system and device provided by the present invention can effectively solve the problem of information asymmetry, improve the efficiency and accuracy of information processing, provide users with better automobile rental and sales information services, and also enhance the security of transactions and the support of after-sales services. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 is a flow chart of the present invention;

[0055] Figure 2 It is a structural block diagram of the present invention. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] See also Figure 1-Figure 2 The present invention provides a technical solution: a method for processing automobile rental and sales information, comprising the following steps:

[0058] S1: Collect car rental and sales information from various channels such as major car trading platforms, social media, and forums through web crawler technology and API interfaces;

[0059] S2: Information processing, using the data cleaning module to clean and standardize the collected information;

[0060] S3: Information analysis, using the data analysis module to analyze the processed information and extract key indicators;

[0061] S4: Recommend car rental and sale options. Based on the analysis results, the information matching module is used to recommend suitable car rental and sale options to users.

[0062] S5: Pushing car rental and sale information, using the information push module to push recommended car rental and sale information to users;

[0063] S6: Collect feedback information: collect user feedback information through the user feedback module to further optimize the recommendation algorithm;

[0064] S7: Credit evaluation, using the credit evaluation module to evaluate the credit rating of users and sellers, providing protection for both parties of the transaction;

[0065] S8: Payment and contract signing: supports secure payment and contract signing through online transaction modules to ensure the transparency and security of the transaction process;

[0066] S9: After-sales service, use the after-sales support module to provide after-sales service and technical support to solve problems encountered by users during use.

[0067] In this embodiment, preferably, the car rental and sale information includes but is not limited to vehicle model, year, mileage, price, maintenance record, insurance information, and owner information.

[0068] In this embodiment, preferably, the specific steps of using the data cleaning module to clean and standardize the collected information in S2 include:

[0069] S201. Data quality check: confirm whether there are missing values ​​in the data, such as empty fields or NULL values; ensure the consistency of data formats, such as date formats and currency units; check whether data values ​​are within a reasonable range;

[0070] S202. Missing value processing: For columns with a high missing value ratio, the deletion method is used to directly delete the column;

[0071] S203. Outlier detection and processing: using the box plot method, outliers are identified by drawing box plots, and outliers are deleted, replaced with boundary values, or corrected to reasonable values;

[0072] S204. Data format unification: Convert all date fields to a unified format, ensure the accuracy of numerical data is consistent, unify upper and lower case, and remove extra spaces and punctuation.

[0073] In this embodiment, preferably, the specific step of using the data cleaning module to clean and standardize the collected information in S2 further includes:

[0074] S205. Duplicate data processing: Use hash functions to identify duplicate records and merge them; if the records are exactly the same, only one is retained; if there are differences, these differences are merged;

[0075] S206. Data transformation: Convert categorical variables to digital codes. For skewed data, use logarithmic transformation, square root transformation or normalization.

[0076] S207. Data integration: Merge multiple data sets into one, ensure the consistency of field names and data types, and resolve conflicts when field conflicts occur during data merging;

[0077] S208. Data review: For some key fields or sensitive information, manual review is performed to ensure the accuracy of the data. The rationality of the data is verified by setting logical rules, such as the price of a vehicle should not be lower than a certain threshold;

[0078] S209. Documentation: Record the detailed steps and parameter settings of each step of data cleaning for tracking and auditing, and save the data versions before and after cleaning for comparison and recovery.

[0079] A car rental and sales information processing system, including a data acquisition module, a data cleaning module, a data analysis module, an information matching module, an information push module, a user feedback module, a credit evaluation module, an online transaction module and an after-sales support module;

[0080] The data collection module is used to collect car rental and sales information;

[0081] The data cleaning module is used to clean and standardize the collected information;

[0082] The data analysis module is used to analyze the processed information and extract key indicators;

[0083] The information matching module is used to recommend suitable car rental and sale options to the user based on the analysis results;

[0084] The information push module is used to push recommended car rental and sale information to users;

[0085] The user feedback module is used to collect user feedback information in order to further optimize the recommendation algorithm;

[0086] The credit evaluation module is used to evaluate the credit rating of users and sellers, providing protection for both parties of the transaction;

[0087] The online transaction module is used to support secure payment and contract signing, ensuring the transparency and security of the transaction process;

[0088] The after-sales support module is used to provide after-sales service and technical support to solve problems encountered by users during use.

[0089] In this embodiment, preferably, the data analysis module uses a machine learning algorithm to analyze the standardized data and extract indicators that are valuable to users. The analysis indicators include vehicle condition scores, market value assessments, maintenance cost forecasts, etc. The data analysis results are presented through visualization tools to facilitate user understanding and comparison;

[0090] The information matching module screens out qualified car rental and sale information according to user preferences and needs, such as budget range, vehicle type, age, etc., and recommends personalized car rental and sale options to users by using collaborative filtering and deep learning technology, and provides sorting and filtering functions so that users can quickly find satisfactory options.

[0091] In this embodiment, preferably, the information push module pushes recommended car rental and sales information to users via email, SMS, and application notification, and supports customized push. Users can choose to receive specific types of push information, and provide instant messaging functions, allowing users to communicate directly with sellers;

[0092] The user feedback module collects user feedback information through questionnaires and online comments, uses text mining technology to analyze user feedback, understands user satisfaction and improvement suggestions, adjusts the recommendation algorithm according to the feedback results, and improves the accuracy and satisfaction of recommendations.

[0093] In this embodiment, preferably, the credit evaluation module evaluates the user's credit rating by analyzing the user's transaction history, payment record and social credit information, provides similar services to sellers, ensures that both parties have good transaction records, and makes the credit evaluation results public to increase the trust of transactions;

[0094] The online transaction module supports multiple payment methods, provides an electronic contract signing function, ensures that transactions are legal and valid, and uses encryption technology to protect user privacy and transaction security;

[0095] The after-sales support module provides online customer service to answer users' questions during use, supports warranty services, ensures that vehicle quality issues can be resolved in a timely manner, provides vehicle maintenance reminders and appointment services, and helps users maintain their vehicles.

[0096] In this embodiment, preferably, the car rental information includes but is not limited to the vehicle model, year, mileage, price, maintenance record, insurance information, and owner information. The price includes the monthly car rental price, and the monthly car rental price includes the following formula:

[0097]

[0098] Among them, A is the monthly payment, B is the basic price of the car, C is the tax that needs to be paid to the government when purchasing a new car, D is the tax stipulated by local policies, E is the fee that may exist in some areas, F is the vehicle insurance fee, G is the fee required for vehicle licensing, H is the amount that the customer needs to pay when starting the lease, a is the lease term, usually in months, and b is the loan interest rate.

[0099] A car rental and sales information processing device includes a processor, a memory and a network interface, wherein the processor is used to execute the steps in the above method, the memory is used to store program instructions and data, and the network interface is used to receive and send data.

[0100] Principles and advantages of the present invention:

[0101] By setting up a data cleaning module, the present invention can clean and standardize the collected data, ensure the accuracy and consistency of information, and reduce decision-making errors caused by information errors; by setting up an information matching module, an information push module and a user feedback module, a personalized recommendation algorithm can be used to provide the most relevant car rental and sales information to users based on their historical behaviors and preferences, thereby improving user satisfaction, and reducing the need for manual intervention through automated information processing, reducing labor costs, and improving work efficiency; by setting up an online transaction module, through online payment and electronic contract signing and other technologies, the transaction process is simplified and the transaction speed is accelerated, and encryption technology and access control mechanisms are used to protect user data security and personal privacy, establish user trust, and increase security; by setting up an after-sales support module, comprehensive after-sales service and technical support can be used to solve user problems in a timely manner, improve customer loyalty, and by providing high-quality services and support, enterprises can stand out in the fiercely competitive market and enhance their market competitiveness.

[0102] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for processing automobile rental and sale information, characterized in that: The following steps are involved: S1: Collect car rental and sales information from various channels such as major car trading platforms, social media, and forums through web crawler technology and API interfaces; S2: Information processing, using the data cleaning module to clean and standardize the collected information; S3: Information analysis, using the data analysis module to analyze the processed information and extract key indicators; S4: Recommend car rental and sale options. Based on the analysis results, the information matching module is used to recommend suitable car rental and sale options to users. S5: Pushing car rental and sale information, using the information push module to push recommended car rental and sale information to users; S6: Collect feedback information: collect user feedback information through the user feedback module to further optimize the recommendation algorithm; S7: Credit evaluation, using the credit evaluation module to evaluate the credit rating of users and sellers, providing protection for both parties of the transaction; S8: Payment and contract signing: supports secure payment and contract signing through online transaction modules to ensure the transparency and security of the transaction process; S9: After-sales service, use the after-sales support module to provide after-sales service and technical support to solve problems encountered by users during use.

2. A method for processing automobile rental and sale information according to claim 1, characterized in that: The car rental and sales information includes but is not limited to vehicle model, year, mileage, price, maintenance record, insurance information, and owner information.

3. A method for processing automobile rental and sale information according to claim 1, characterized in that: The specific steps of using the data cleaning module to clean and standardize the collected information in S2 include: S201. Data quality check: confirm whether there are missing values ​​in the data, such as empty fields or NULL values; ensure the consistency of data formats, such as date formats and currency units; check whether data values ​​are within a reasonable range; S202. Missing value processing: For columns with a high missing value ratio, the deletion method is used to directly delete the column; S203. Outlier detection and processing: using the box plot method, outliers are identified by drawing box plots, and outliers are deleted, replaced with boundary values, or corrected to reasonable values; S204. Data format unification: Convert all date fields to a unified format to ensure consistent precision of numerical data, unify upper and lower case, and remove extra spaces and punctuation.

4. A method for processing automobile rental and sale information according to claim 3, characterized in that: The specific steps of using the data cleaning module to clean and standardize the collected information in S2 also include: S205. Duplicate data processing: Use hash functions to identify duplicate records and merge them; if the records are exactly the same, only one is retained; if there are differences, these differences are merged; S206. Data transformation: Convert categorical variables to digital codes. For skewed data, use logarithmic transformation, square root transformation or normalization. S207. Data integration: Merge multiple data sets into one, ensure the consistency of field names and data types, and resolve conflicts when field conflicts occur during data merging; S208. Data review: For some key fields or sensitive information, manual review is performed to ensure the accuracy of the data. The rationality of the data is verified by setting logical rules, such as the price of a vehicle should not be lower than a certain threshold; S209. Documentation: Record the detailed steps and parameter settings of each step of data cleaning for tracking and auditing, and save the data versions before and after cleaning for comparison and recovery.

5. A car rental and sales information processing system, characterized by: It includes data collection module, data cleaning module, data analysis module, information matching module, information push module, user feedback module, credit evaluation module, online transaction module and after-sales support module; The data collection module is used to collect car rental and sales information; The data cleaning module is used to clean and standardize the collected information; The data analysis module is used to analyze the processed information and extract key indicators; The information matching module is used to recommend suitable car rental and sale options to the user based on the analysis results; The information push module is used to push recommended car rental and sale information to users; The user feedback module is used to collect user feedback information in order to further optimize the recommendation algorithm; The credit evaluation module is used to evaluate the credit rating of users and sellers, providing protection for both parties of the transaction; The online transaction module is used to support secure payment and contract signing, ensuring the transparency and security of the transaction process; The after-sales support module is used to provide after-sales service and technical support to solve problems encountered by users during use.

6. The automobile rental and sale information processing system according to claim 5, characterized in that: The data analysis module uses a machine learning algorithm to analyze the standardized data and extract indicators that are valuable to users. The analysis indicators include vehicle condition scores, market value assessments, maintenance cost forecasts, etc. The data analysis results are presented through visualization tools to facilitate user understanding and comparison; The information matching module screens out qualified car rental and sale information according to user preferences and needs, such as budget range, vehicle type, age, etc., and recommends personalized car rental and sale options to users by using collaborative filtering and deep learning technology, and provides sorting and filtering functions so that users can quickly find satisfactory options.

7. The automobile rental and sale information processing system according to claim 5, characterized in that: The information push module pushes recommended car rental and sales information to users via email, SMS, and application notifications, and supports customized push. Users can choose to receive specific types of push information and provide instant messaging functions, allowing users to communicate directly with sellers; The user feedback module collects user feedback information through questionnaires and online comments, uses text mining technology to analyze user feedback, understands user satisfaction and improvement suggestions, adjusts the recommendation algorithm according to the feedback results, and improves the accuracy and satisfaction of recommendations.

8. The automobile rental and sale information processing system according to claim 5, characterized in that: The credit evaluation module evaluates the user's credit rating by analyzing the user's transaction history, payment record and social credit information, provides similar services to sellers, ensures that both parties have a good transaction record, and makes the credit evaluation results public to increase the trust of transactions; The online transaction module supports multiple payment methods, provides electronic contract signing function, ensures the legality and validity of transactions, and uses encryption technology to protect user privacy and transaction security; The after-sales support module provides online customer service to answer users' questions during use, supports warranty services, ensures that vehicle quality issues can be resolved in a timely manner, provides vehicle maintenance reminders and appointment services, and helps users maintain their vehicles.

9. The automobile rental and sale information processing system according to claim 5, characterized in that: The car rental information includes but is not limited to vehicle model, year, mileage, price, maintenance record, insurance information, and owner information. The price includes the monthly car rental price, which includes the following formula: Among them, A is the monthly payment, B is the basic price of the car, C is the tax that needs to be paid to the government when purchasing a new car, D is the tax stipulated by local policies, E is the fee that may exist in some areas, F is the vehicle insurance fee, G is the fee required for vehicle licensing, H is the amount that the customer needs to pay when starting the lease, a is the lease term, usually in months, and b is the loan interest rate.

10. A car rental and sale information processing device, characterized in that: The system comprises a processor, a memory and a network interface, wherein the processor is used to execute the steps in the above method, the memory is used to store program instructions and data, and the network interface is used to receive and send data.

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