Electronic warranty auction service method

Abstract

The invention discloses an electronic warranty auction service method. In the invention, qualification auditing and risk assessment provide a fair competition environment for the user. The platform ensures the equal status of each user in the auction process by performing unified standard auditing on the qualifications of all the participants. The fairness is not only reflected in the equalization of auction opportunities, but also reflected in the reasonable evaluation of the credit condition of the user, so that the user with good credit can obtain a more preferential warranty rate and more auction opportunities. In addition, the whole auction electronic warrant service method has remarkable beneficial effects through the qualification auditing and risk assessment steps. The safe operation of the platform is guaranteed, the fairness and transparency of the auction environment are promoted, and more reliable and efficient services are provided for users. The step is an important component of a platform risk management system, and has irreplaceable effects on maintaining auction order, protecting user rights and interests and improving platform competitiveness.

Description

Technical Field

[0001] The present invention belongs to the technical field of auction guarantee service, and specifically relates to an auction electronic guarantee service method. Background Art

[0002] With the continuous development of the online auction market, the application of electronic bidding guarantees will become more widespread. In the future, electronic bidding guarantees will further improve the service system, enhance the user experience, and meet the needs of more scenarios. With its convenience, security, and efficiency, electronic bidding guarantees have become a major innovation in the auction industry. In future development, electronic bidding guarantees will promote the transformation and upgrading of the auction industry and contribute to the development of my country's auction market. In short, electronic bidding guarantees provide strong support for auction activities and are expected to achieve more innovative applications in the future. Electronic bidding guarantees refer to electronic guarantee documents issued by third-party guarantee institutions to protect the rights and interests of both parties in online auctions. Electronic bidding guarantees exist in the form of electronic documents and provide guarantee services for auction activities through online platforms. Since its launch, it has been highly recognized by the auction market, bringing a convenient and secure transaction experience to the auction industry.

[0003] However, existing auction platforms may not have adequate user identity verification measures, which can easily lead to fraudulent activities such as identity fraud and false financial information. Furthermore, existing technologies may lack effective credit assessment mechanisms and cannot accurately assess users' credit ratings, potentially causing platforms to provide services to users with poor credit, increasing the risk of default. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for auctioning electronic letter of guarantee services in order to solve the above-mentioned problems.

[0005] The technical solution adopted by the present invention is as follows: a method for bidding for an electronic letter of guarantee service, comprising the following steps:

[0006] S1: User registration and real-name authentication. Users register an account on the auction platform and provide their real name, ID number, and contact information. After completing real-name authentication, users upload photos of their ID card, including the front and back, and a photo of them holding their ID card. The platform verifies the authenticity of the user's identity through technical means.

[0007] S2: Browse and understand projects. Users browse various auction projects on the platform and view project details, including project background, auction rules, auction reserve price, and deposit requirements. The platform will also provide project consulting services to answer user questions and help users better understand the projects.

[0008] S3: Submit an electronic letter of guarantee application. After selecting the project, the user clicks the "Apply for Electronic Letter of Guarantee" button and fills out the letter of guarantee application form, including the letter of guarantee amount, letter of guarantee period, and auction project information; then the user uploads relevant supporting documents, including corporate qualifications and financial statements.

[0009] S4: Pay the authentication fee. Users pay the authentication fee online according to the platform prompts. The fee is used to verify the user's qualifications and credit status. The platform provides multiple payment methods, including Alipay, WeChat Pay, and bank transfer.

[0010] S5: Conduct qualification review and risk assessment. The platform reviews the information submitted by the user and assesses the user's qualifications and credit risk. After the review is passed, the platform generates an audit report and feedbacks the audit results to the user.

[0011] S6: Signing of the electronic letter of guarantee contract. The user signs the electronic letter of guarantee contract online, which specifies the rights, obligations and responsibilities of both parties. The user confirms the content of the contract through electronic signature, and the contract takes effect immediately.

[0012] S7: Payment of the guarantee fee. The user pays the electronic guarantee fee according to the contract; the fee is a certain percentage of the guarantee amount; the platform provides invoice issuance services to facilitate reimbursement by the user;

[0013] S8: The platform will issue an electronic letter of guarantee to the user after receiving the letter of guarantee fee. The electronic letter of guarantee is legally binding and can be used to bid for items. Users can view and download the electronic letter of guarantee in their personal center.

[0014] S9: Participate in the auction. After the auction begins, users can participate in the auction by presenting the electronic letter of guarantee; bid according to the auction rules and follow the auction dynamics in real time; the platform provides a bidding assistant function to help users formulate bidding strategies;

[0015] S10: Publicize and process the auction results. After the auction ends, the platform will publicize the auction results, including the transaction price and information of the successful bidder. If the user wins the auction, the platform will assist both parties in signing a formal contract and supervise the performance of the contract. If the user fails to win the auction, the platform will refund the electronic letter of guarantee fee within the specified time.

[0016] In a preferred embodiment, in step S1, in order to ensure the security of user information, the platform uses the MD5 encryption algorithm to encrypt the user password to ensure that the password is stored in ciphertext form in the database; the platform uses advanced face recognition algorithms and OCR optical character recognition technology to conduct in-depth analysis of these photos to verify the authenticity of the photos and the consistency of the user's identity; only users who have passed real-name authentication can obtain the complete services provided by the platform and participate in subsequent auction activities.

[0017] In a preferred embodiment, in step S2, in order to enhance the user experience, the platform adopts a recommendation algorithm based on user behavior, including collaborative filtering or content recommendation, to recommend projects of potential interest to users based on their historical browsing history, favorites, and bidding preferences; users view detailed information about the projects, including project background, bidding rules, starting price, and deposit requirements; in addition, the platform also provides online consulting services, where a professional customer service team answers user questions to ensure that users have a comprehensive and in-depth understanding of the projects.

[0018] In a preferred embodiment, in step S3, the platform uses an intelligent filling algorithm to predict and automatically fill in other relevant fields based on the information already filled in by the user, thereby simplifying user operations; the user is also required to upload relevant certification materials for corporate qualifications and financial statements, and the platform uses an image recognition algorithm to conduct a preliminary review of the format and content of these documents to ensure the integrity and compliance of the materials.

[0019] In a preferred embodiment, in step S4, the platform uses an SSL encryption algorithm during the payment process to ensure the security of the user's payment information during transmission; this fee will be used to verify the user's qualifications and credit status, and is an important basis for subsequent qualification review.

[0020] In a preferred embodiment, the step S5 specifically includes the following steps:

[0021] S5-1. Automatic Data Collection and Preprocessing: The platform automatically collects information submitted by users during the registration and application process, including identity information, business qualifications, and financial statements. The platform then uses artificial intelligence technology to preprocess the collected information, including formatting, information extraction, and data cleaning, to ensure consistency and accuracy.

[0022] S5-2. Intelligent Audit System Launch: The intelligent audit system is launched. It has multiple built-in audit models, including identity verification, financial risk assessment, and credit scoring. The system then automatically assigns audit tasks and selects the most appropriate audit model based on the document type and audit requirements.

[0023] S5-3. Real-time identity verification: First, facial recognition and liveness detection technology are used to verify the user's identity in real time, ensuring that the operator and the registrant are the same. The ID card information is then compared with the public security system's identity database to verify its authenticity.

[0024] S5-4. Financial Data Analysis: Using big data analysis technology, we conduct in-depth analysis of users' financial statements to identify potential financial risks. Based on the analysis results, the system automatically generates a financial health report to provide a basis for risk assessment.

[0025] S5-5. Credit Scoring and Risk Assessment: A credit scoring model is used to calculate a user's credit score, combining their credit history, financial status, and market reputation. Based on the credit score and financial health report, the system automatically conducts a risk assessment and classifies the user's risk level.

[0026] S5-6. Manual Review and Decision-Making: Users identified by the system as high-risk or requiring further confirmation will be transferred to the manual review team for review. The manual review team will make the final review decision based on the information provided by the system and the user's specific circumstances.

[0027] S5-7. Audit Result Feedback: Audit results are provided to users in real time through the platform, including whether the audit was passed, risk level, and improvement suggestions. For users who fail the audit, detailed reasons for failure and improvement measures are provided to help users complete their information and resubmit for audit.

[0028] The calculation formula of the credit scoring model algorithm is:

[0029] Score=β0+β1×X1+β2×X2+…+β n ×X n

[0030] in:

[0031] β0 is represented as the intercept term, also known as the benchmark score, which is the score when all characteristic variables are zero;

[0032] β1,β2,…,β n Expressed as a characteristic coefficient, it indicates the degree of influence of each characteristic variable on the credit score;

[0033] X1,X2,…,X n Expressed as feature variables, the following are several features used for credit scoring and their definitions:

[0034] X1 represents the number of historical overdue payments, which indicates the number of overdue payments made by the user in the past period of time;

[0035] X2 is expressed as the debt-to-income ratio, which represents the ratio of the user’s total debt to income;

[0036] X 3表示 Credit utilization rate, which indicates the proportion of the credit limit used by the user to the total credit limit;

[0037] X4 represents the account age, which indicates the length of time the user's credit account has been open;

[0038] X5 represents the most recent overdue time, which indicates the number of months since the user's most recent overdue payment.

[0039] In a preferred embodiment, in step S6, the platform uses a digital signature algorithm to ensure the immutability and legal validity of the signature; the contract takes effect immediately after signing, providing legal protection for users to participate in the auction;

[0040] In step S7, the platform adopts a phased billing algorithm to calculate a reasonable fee based on the amount of the letter of guarantee and the length of the term; the user selects a variety of payment methods to complete the payment.

[0041] In a preferred embodiment, in step S8, the electronic letter of guarantee is in PDF format and is encrypted using a PDF encryption algorithm to ensure the security of the file during transmission and storage. The electronic letter of guarantee has the same legal effect as a paper letter of guarantee.

[0042] In a preferred embodiment, in step S9, the platform adopts a real-time bidding algorithm, including a Vickrey auction algorithm or an English auction algorithm, to ensure the fairness and transparency of the bidding process; users need to follow the bidding rules to bid and follow the bidding dynamics in real time through the platform; the bidding assistant function provided by the platform uses big data analysis algorithms to help users analyze market trends and formulate effective bidding strategies.

[0043] In a preferred embodiment, in step S10, the platform uses a sorting algorithm to sort and display the auction results; if the user's bid is successful, the platform assists both parties in signing a formal contract and supervises the performance of the contract; if the user's bid fails, the platform refunds the electronic letter of guarantee fee within the specified time; throughout the entire process, the platform is responsible for supervision and management to ensure the fairness, justice and transparency of the auction activities; in the event of a dispute, the platform provides mediation services and adopts game theory algorithms to seek to maximize the interests of both parties.

[0044] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0045] 1. In this invention, qualification review and risk assessment ensure the security and reliability of the platform's services. By rigorously reviewing user-submitted information, the platform can effectively identify and filter out unqualified or potentially risky applicants. This not only protects the platform's interests but also maintains the health and stability of the entire auction environment. For example, through identity verification and financial data analysis, the platform can exclude users with fraudulent identities and poor financial status, thereby reducing the risk of letter of guarantee defaults. Such risk control measures are crucial for building user trust and enhancing the platform's reputation, and are the cornerstone of the platform's long-term operation and development.

[0046] 2. In this invention, the qualification review and risk assessment process provides users with a level playing field. By applying a unified standard to the qualifications of all participants, the platform ensures that every user has equal status in the bidding process. This fairness is reflected not only in equal bidding opportunities but also in the rational assessment of user creditworthiness, enabling users with good credit to receive more favorable guarantee rates and more bidding opportunities. Furthermore, through risk assessment, the platform can implement differentiated management for users with different risk levels, such as stricter monitoring measures for high-risk users and greater convenience for low-risk users. This differentiated service can better meet user needs and enhance the user experience. Overall, the qualification review and risk assessment steps have significant benefits for the entire electronic guarantee service method for bidding. They not only ensure the secure operation of the platform, but also promote fairness and transparency in the bidding environment, providing users with a more reliable and efficient service. This step is a crucial component of the platform's risk management system and plays an irreplaceable role in maintaining bidding order, protecting user rights, and enhancing the platform's competitiveness. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the 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.

[0048] Example:

[0049] A method for bidding for an electronic letter of guarantee service, comprising the following steps:

[0050] S1: User registration and real-name authentication. Users register an account on the auction platform and provide their real name, ID number, and contact information. After completing real-name authentication, users upload photos of their ID card, including the front and back, and a photo of them holding their ID card. The platform uses technical means to verify the authenticity of the user's identity.

[0051] S2: Browse and understand projects. Users can browse various auction projects on the platform and view project details, including project background, auction rules, auction reserve price, deposit requirements, etc. The platform will provide project consulting services to answer user questions and help users better understand the projects.

[0052] S3: Submit an electronic letter of guarantee application. After selecting the project, the user clicks the "Apply for Electronic Letter of Guarantee" button and fills out the letter of guarantee application form, including the letter of guarantee amount, letter of guarantee period, bidding project and other information. After that, the user uploads relevant supporting documents, such as corporate qualifications, financial statements, etc.

[0053] S4: Pay the authentication fee. Users pay the authentication fee online according to the platform prompts. The fee is used to verify the user's qualifications and credit status. The platform provides multiple payment methods, such as Alipay, WeChat Pay, and bank transfer.

[0054] S5: Conduct qualification review and risk assessment. The platform reviews the information submitted by the user and assesses the user's qualifications and credit risk. After the review is passed, the platform generates an audit report and feedbacks the audit results to the user;

[0055] S6: Signing of the electronic guarantee contract. The user signs the electronic guarantee contract online, which specifies the rights, obligations, and responsibilities of both parties. The user confirms the content of the contract with an electronic signature, and the contract becomes effective immediately.

[0056] S7: Payment of the guarantee fee. The user pays the electronic guarantee fee according to the contract. The fee is usually a certain percentage of the guarantee amount. The platform provides invoice issuance services to facilitate user reimbursement.

[0057] S8: The platform issues an electronic letter of guarantee. After receiving the letter of guarantee fee, the platform issues the electronic letter of guarantee to the user. The electronic letter of guarantee is legally binding and can be used to bid on the project. Users can view and download the electronic letter of guarantee in their personal center.

[0058] S9: Participate in the auction. After the auction begins, users can participate in the auction with the electronic letter of guarantee. Bid according to the auction rules and follow the auction dynamics in real time. The platform provides a bidding assistant function to help users develop bidding strategies;

[0059] S10: Publicize and process the auction results. After the auction ends, the platform will announce the results, including the transaction price and the winning bidder. If the user's bid is successful, the platform will assist both parties in signing a formal contract and oversee its performance. If the user's bid is unsuccessful, the platform will refund the electronic guarantee fee within a specified time period.

[0060] In step S1, to ensure the security of user information, the platform uses the MD5 encryption algorithm to encrypt user passwords, ensuring that passwords are stored in ciphertext within the database. The platform then uses advanced facial recognition algorithms and optical character recognition technology to conduct in-depth analysis of these photos to verify their authenticity and the identity of the user. Only users who have passed real-name authentication can access the full platform services and participate in subsequent auctions.

[0061] In step S2, to enhance the user experience, the platform employs user behavior-based recommendation algorithms, such as collaborative filtering or content recommendations, to recommend potentially interesting projects based on the user's browsing history, favorites, and bidding preferences. Users can view detailed project information, including project background, bidding rules, starting price, and margin requirements. The platform also offers online consulting services, where a professional customer service team answers user questions, ensuring a comprehensive and in-depth understanding of the projects.

[0062] In step S3, the platform uses intelligent filling algorithms, such as auto-complete technology, to predict and automatically fill in other relevant fields based on the user's already entered information, simplifying the user's operation. Users are also required to upload relevant supporting documents such as company qualifications and financial statements. The platform uses image recognition algorithms to conduct a preliminary review of the format and content of these documents to ensure their completeness and compliance.

[0063] In step S4, the platform uses the SSL encryption algorithm during the payment process to ensure the security of the user's payment information during transmission. This fee will be used to verify the user's qualifications and credit status, and is an important basis for subsequent qualification review.

[0064] Step S5 specifically includes the following steps:

[0065] S5-1. Automatic Data Collection and Preprocessing: The platform automatically collects information submitted by users during the registration and application process, including identity information, business qualifications, financial statements, etc. The platform then uses artificial intelligence technology to preprocess the collected information, including formatting, information extraction, and data cleaning, to ensure consistency and accuracy.

[0066] S5-2. Intelligent Audit System Launch: The intelligent audit system is launched. It incorporates multiple audit models, including identity verification, financial risk assessment, and credit scoring. The system then automatically assigns audit tasks, selecting the most appropriate audit model based on the document type and audit requirements.

[0067] S5-3. Real-time identity verification: First, facial recognition and liveness detection technologies are used to conduct real-time identity verification of the user, ensuring that the operator and the registrant are the same. The ID card information is then compared with the public security system's identity database to verify its authenticity.

[0068] S5-4. Financial Data Analysis: Using big data analysis technology, we conduct in-depth analysis of users' financial statements to identify potential financial risks. Based on the analysis results, the system automatically generates a financial health report to provide a basis for risk assessment.

[0069] S5-5. Credit Scoring and Risk Assessment: A credit scoring model calculates a user's credit score based on factors such as their credit history, financial status, and market reputation. Based on the credit score and financial health report, the system automatically conducts a risk assessment and classifies the user's risk level.

[0070] S5-6. Manual Review and Decision-Making: Users identified by the system as high-risk or requiring further confirmation are transferred to the manual review team for review. The manual review team makes the final review decision based on the information provided by the system and the user's specific circumstances.

[0071] S5-7. Audit Result Feedback: Audit results are provided to users in real time through the platform, including whether the audit was passed, risk level, and improvement suggestions. For users who fail the audit, detailed reasons for failure and improvement measures are provided to help users complete their information and resubmit for review.

[0072] The calculation formula of the credit scoring model algorithm is:

[0073] Score=β0+β1×X1+β2×X2+…+β n ×X n

[0074] in:

[0075] β0 is the intercept term, also known as the baseline score, which is the score when all feature variables are zero.

[0076] β1,β2,…,β n Expressed as a characteristic coefficient, it indicates the degree of influence of each characteristic variable on the credit score.

[0077] X1,X2,…,X n Expressed as feature variables, the following are several features used for credit scoring and their definitions:

[0078] X1 represents the number of historical overdue payments, which indicates the number of overdue repayments by the user in the past period of time.

[0079] X2 is expressed as the debt-to-income ratio, which represents the ratio of the user's total debt to income.

[0080] X 3表示 Credit utilization rate refers to the proportion of the credit limit used by the user to the total credit limit.

[0081] X4 represents the account age, which indicates how long the user's credit account has been open.

[0082] X5 represents the most recent overdue time, which indicates the number of months since the user's most recent overdue payment.

[0083] In step S6, the platform uses a digital signature algorithm, such as RSA or ECDSA, to ensure the signature is tamper-proof and legally binding. The contract takes effect immediately upon signing, providing legal protection for users participating in the auction.

[0084] In step S7, the platform uses a phased billing algorithm to calculate a reasonable fee based on the amount of the letter of guarantee and the length of the term. Users can choose from a variety of payment methods to complete the payment.

[0085] In step S8, the electronic letter of guarantee is in PDF format and is encrypted using the PDF encryption algorithm to ensure the security of the file during transmission and storage. The electronic letter of guarantee has the same legal effect as a paper letter of guarantee.

[0086] In step S9, the platform uses a real-time bidding algorithm, such as a Vickrey auction or an English auction, to ensure fairness and transparency in the bidding process. Users must bid according to the auction rules and monitor the auction status in real time through the platform. The platform's bidding assistant feature utilizes big data analysis algorithms, such as cluster analysis or time series analysis, to help users analyze market trends and develop effective bidding strategies.

[0087] In step S10, the platform uses a ranking algorithm to rank and display the auction results. If the user's bid is successful, the platform assists both parties in signing a formal contract and oversees its implementation. If the user's bid is unsuccessful, the platform refunds the electronic guarantee fee within a specified timeframe. Throughout the entire process, the platform oversees and manages the auction to ensure fairness, impartiality, and transparency. In the event of a dispute, the platform provides mediation services, employing game theory algorithms to maximize the interests of both parties.

[0088] In this invention, qualification review and risk assessment ensure the security and reliability of the platform's services. By rigorously reviewing user-submitted information, the platform can effectively identify and filter out unqualified or potentially risky applicants. This not only protects the platform's interests but also maintains the health and stability of the entire auction environment. For example, through identity verification and financial data analysis, the platform can exclude users with fraudulent identities and poor financial status, thereby reducing the risk of letter of guarantee defaults. Such risk control measures are crucial for building user trust and enhancing the platform's reputation, and are the cornerstone of the platform's long-term operation and development.

[0089] In this invention, qualification review and risk assessment provide users with a level playing field. By applying a unified standard to the qualifications of all participants, the platform ensures equal status for every user in the bidding process. This fairness is reflected not only in equal bidding opportunities but also in a rational assessment of user creditworthiness, enabling users with good credit to receive more favorable guarantee rates and more bidding opportunities. Furthermore, through risk assessment, the platform can implement differentiated management for users with different risk levels, such as stricter monitoring measures for high-risk users and greater convenience for low-risk users. This differentiated service can better meet user needs and enhance the user experience. Overall, the qualification review and risk assessment steps have significant benefits for the entire electronic guarantee service method for bidding. They not only ensure the secure operation of the platform, but also promote fairness and transparency in the bidding environment, providing users with a more reliable and efficient service. This step is a crucial component of the platform's risk management system and plays an irreplaceable role in maintaining bidding order, protecting user rights, and enhancing the platform's competitiveness.

[0090] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0091] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for auctioning electronic letter of guarantee services, characterized by: The method comprises the following steps: S1: User registration and real-name authentication. The user registers an account on the auction platform and provides real name, ID number, and contact information. After completing real-name authentication, users upload photos of the front and back of their ID cards, as well as photos of them holding their ID cards. The platform verifies the authenticity of the user's identity through technical means. S2: Browse and understand projects. Users browse various auction projects on the platform and view project details, including project background, auction rules, auction reserve price, and deposit requirements. The platform will also provide project consulting services to answer user questions and help users better understand the projects. S3: Submit an electronic letter of guarantee application. After selecting the project, the user clicks the "Apply for Electronic Letter of Guarantee" button and fills out the letter of guarantee application form, including the letter of guarantee amount, letter of guarantee period, and auction project information; then the user uploads relevant supporting documents, including corporate qualifications and financial statements. S4: Pay the authentication fee. The user pays the authentication fee online according to the platform prompts. The fee is used to verify the user's qualifications and credit status. The platform provides a variety of payment methods, including Alipay, WeChat Pay, and bank transfer; S5: Conduct qualification review and risk assessment. The platform reviews the information submitted by the user and assesses the user's qualifications and credit risk. After the review is passed, the platform generates an audit report and feedbacks the audit results to the user. S6: Signing of the electronic letter of guarantee contract. The user signs the electronic letter of guarantee contract online, which specifies the rights, obligations and responsibilities of both parties. The user confirms the content of the contract through electronic signature, and the contract takes effect immediately. S7: Pay the guarantee fee. The user pays the electronic guarantee fee according to the contract. The fee is a certain percentage of the guarantee amount; The platform provides invoice issuance services to facilitate user reimbursement; S8: After receiving the guarantee fee, the platform will issue the electronic guarantee to the user; The electronic letter of guarantee is legally binding and can be used to bid for items; users can view and download the electronic letter of guarantee in their personal center; S9: Participate in the auction. After the auction begins, users can participate in the auction by presenting the electronic letter of guarantee; bid according to the auction rules and follow the auction dynamics in real time; the platform provides a bidding assistant function to help users formulate bidding strategies; S10: Publicize and process the auction results. After the auction ends, the platform will publicize the auction results, including the transaction price and information about the successful bidder. If the user wins the auction, the platform will assist both parties in signing a formal contract and supervise the performance of the contract. If the user fails in the auction, the platform will refund the electronic guarantee fee within the specified time.

2. The electronic letter of guarantee auction service method according to claim 1, characterized in that: In step S1, to ensure the security of user information, the platform uses the MD5 encryption algorithm to encrypt user passwords, ensuring that the passwords are stored in ciphertext form in the database; the platform uses advanced face recognition algorithms and OCR optical character recognition technology to conduct in-depth analysis of these photos to verify the authenticity of the photos and the consistency of the user's identity; only users who have passed real-name authentication can obtain the full services provided by the platform and participate in subsequent auction activities.

3. The electronic letter of guarantee auction service method according to claim 1, characterized in that: In step S2, to enhance the user experience, the platform uses a recommendation algorithm based on user behavior, including collaborative filtering or content recommendation, to recommend projects of potential interest to users based on their historical browsing history, favorites, and bidding preferences. Users can view detailed information about the projects, including project background, bidding rules, starting price, and margin requirements. In addition, the platform also provides online consulting services, with a professional customer service team answering user questions to ensure that users have a comprehensive and in-depth understanding of the projects.

4. The electronic letter of guarantee auction service method according to claim 1, characterized in that: In step S3, the platform uses an intelligent filling algorithm to predict and automatically fill in other relevant fields based on the information already filled in by the user, thereby simplifying user operations; the user is also required to upload relevant certification materials for corporate qualifications and financial statements, and the platform uses an image recognition algorithm to conduct a preliminary review of the format and content of these documents to ensure the integrity and compliance of the materials.

5. The method for auctioning an electronic letter of guarantee service according to claim 1, characterized in that: In step S4, the platform uses the SSL encryption algorithm during the payment process to ensure the security of the user's payment information during transmission; this fee will be used to verify the user's qualifications and credit status, and is an important basis for subsequent qualification review.

6. The electronic letter of guarantee auction service method according to claim 1, characterized in that: The step S5 specifically includes the following steps: S5-1. Automatic Data Collection and Preprocessing: The platform automatically collects information submitted by users during the registration and application process, including identity information, business qualifications, and financial statements. The platform then uses artificial intelligence technology to preprocess the collected information, including formatting, information extraction, and data cleaning, to ensure consistency and accuracy. S5-2. Intelligent Audit System Launch: The intelligent audit system is launched. It has multiple built-in audit models, including identity verification, financial risk assessment, and credit scoring. The system then automatically assigns audit tasks and selects the most appropriate audit model based on the document type and audit requirements. S5-3. Real-time identity verification: First, facial recognition and liveness detection technology are used to verify the user's identity in real time, ensuring that the operator and the registrant are the same. The ID card information is then compared with the public security system's identity database to verify its authenticity. S5-4. Financial Data Analysis: Using big data analysis technology, we conduct in-depth analysis of users' financial statements to identify potential financial risks. Based on the analysis results, the system automatically generates a financial health report to provide a basis for risk assessment. S5-5. Credit Scoring and Risk Assessment: A credit scoring model is used to calculate a user's credit score, combining their credit history, financial status, and market reputation. Based on the credit score and financial health report, the system automatically conducts a risk assessment and classifies the user's risk level. S5-6. Manual Review and Decision-Making: Users identified by the system as high-risk or requiring further confirmation will be transferred to the manual review team for review. The manual review team will make the final review decision based on the information provided by the system and the user's specific circumstances. S5-7. Audit Result Feedback: Audit results are provided to users in real time through the platform, including whether the audit was passed, risk level, and improvement suggestions. For users who fail the audit, detailed reasons for failure and improvement measures are provided to help users complete their information and resubmit for audit. The calculation formula of the credit scoring model algorithm is: Score=β0+β1×X1+β2×X2+…+β n ×X n in: β0 is represented as the intercept term, also known as the benchmark score, which is the score when all characteristic variables are zero; β1,β2,…,β n Expressed as a characteristic coefficient, it indicates the degree of influence of each characteristic variable on the credit score; X1,X2,…,X n Expressed as feature variables, the following are several features used for credit scoring and their definitions: X1 represents the number of historical overdue payments, which indicates the number of overdue payments made by the user in the past period of time; X2 is expressed as the debt-to-income ratio, which represents the ratio of the user’s total debt to income; X 3表示 Credit utilization rate, which indicates the proportion of the credit limit used by the user to the total credit limit; X4 represents the account age, which indicates the length of time the user's credit account has been open; X5 represents the most recent overdue time, which indicates the number of months since the user's most recent overdue payment.

7. The electronic letter of guarantee auction service method according to claim 1, characterized in that: In step S6, the platform uses a digital signature algorithm to ensure that the signature cannot be tampered with and has legal validity. The contract takes effect immediately after signing, providing legal protection for users to participate in the auction. In step S7, the platform adopts a phased billing algorithm to calculate a reasonable fee based on the amount of the letter of guarantee and the length of the term; the user selects a variety of payment methods to complete the payment.

8. The electronic letter of guarantee auction service method according to claim 1, characterized in that: In step S8, the electronic letter of guarantee is in PDF format and is encrypted using a PDF encryption algorithm to ensure the security of the file during transmission and storage. The electronic letter of guarantee has the same legal effect as a paper letter of guarantee.

9. The electronic letter of guarantee auction service method according to claim 1, characterized in that: In step S9, the platform adopts a real-time bidding algorithm, including the Vickrey auction algorithm or the English auction algorithm, to ensure the fairness and transparency of the bidding process; users need to follow the bidding rules to bid and follow the bidding dynamics in real time through the platform; the bidding assistant function provided by the platform uses big data analysis algorithms to help users analyze market trends and formulate effective bidding strategies.

10. The electronic letter of guarantee auction service method according to claim 1, characterized in that: In step S10, the platform uses a ranking algorithm to sort and display the auction results; if the user's bid is successful, the platform assists both parties in signing a formal contract and supervises the performance of the contract; If the user fails in the auction, the platform will refund the electronic guarantee fee within the specified time; Throughout the entire process, the platform is responsible for supervision and management to ensure the fairness, impartiality and transparency of the auction activities. If there is a dispute, the platform provides mediation services and adopts game theory algorithms to maximize the interests of both parties.