Block chain-based cross-border bulk commodity e-commerce transaction process optimization system

Abstract

The invention discloses a cross-border bulk commodity e-commerce transaction process optimization system based on a block chain, and relates to the technical field of cross-border commodity transaction systems, and the system comprises a transaction end which is used for initiating and receiving a transaction request, guaranteeing the information symmetry, and verifying the identities and qualifications of two transaction parties; the information extraction module is used for monitoring communication data in real time and extracting transaction characteristics based on an NLP technology; the intelligent contract management module is used for extracting contract features for communication between the two parties, generating a contract draft in combination with transaction features, performing feature matching and preliminary auditing on contract terms according to related laws and regulations of countries or regions to which the two parties belong, and submitting the transaction contract after preliminary auditing to the two parties for confirmation and adding a legal term basis; and the transaction preprocessing unit is used for auditing related logistics based on a contract draft, and realizing comprehensive optimization in links such as transaction initiation, data acquisition, contract formulation, logistics and customs clearance, risk monitoring and the like.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of cross-border commodity transaction systems, in particular to a cross-border bulk commodity e-commerce transaction process optimization system based on a blockchain. BACKGROUND

[0002] Cross-border bulk commodity transactions refer to the trading of bulk commodities (such as energy, metals, agricultural products, and chemical products) through e-commerce platforms or traditional trade channels in an international context. Such transactions not only involve large amounts of money and large scales, but also involve multiple links, multiple countries and regions, with significantly higher complexity and risk than ordinary commodity transactions.

[0003] Publication No. CN109165993A discloses a cross-border bulk commodity transaction system based on an O2O mode and a method for trading using the system. The system includes a multilingual transaction client, a server management system, a server transaction system, and a background data exchange server. The transaction client places an order for bulk commodity transactions offline through the multilingual transaction client. The platform manager audits the authenticity of the transaction through the server management system. After the audit is passed, the client entrusts the platform trader to conduct proxy matching transactions through the server transaction system. After the transaction is successful, the platform settlement personnel perform cross-border settlement services for the client through the client's custodian account at the designated bank. The multilingual transaction client, server management system, and server transaction system exchange data with the background data exchange server through the Internet to complete the online cross-border bulk commodity transaction function, effectively protecting the cross-border bulk commodity transaction, and having good market application prospects.

[0004] The cross-border bulk commodity e-commerce transaction process usually involves multiple links, each of which aims to ensure the safety, efficiency, and transparency of the entire transaction process. The core of transaction process optimization is to reduce redundancy and improve transparency by introducing advanced technology and management methods, ultimately achieving the goal of reducing costs, improving efficiency, and more precise risk control.

[0005] In the current transaction process, there are multiple links such as negotiation, contract signing, payment, logistics arrangement, customs clearance and acceptance, and after-sales service. Information transmission between links mainly relies on manual communication or semi-automated systems, and different countries have different laws and regulations and trade practices. Although electronic contracts and smart contracts can simplify the process, the platform still faces challenges such as lack of standards and difficulty in execution when conducting compliance audits, legal effectiveness identification, and cross-regional dispute resolution. SUMMARY

[0006] One of the purposes of the present application is to provide a blockchain-based cross-border commodity e-commerce transaction process optimization system, which optimizes the commodity transaction process based on the laws of the two parties, reduces redundancy, improves transparency, and ultimately achieves the goal of reducing cost, improving efficiency and more accurate risk control.

[0007] To achieve the above purpose, the present application is implemented by the following technical solutions: a blockchain-based cross-border commodity e-commerce transaction process optimization system, comprising:

[0008] A transaction end for initiating and receiving transaction requests to ensure information symmetry, the transaction end verifying the identity and qualifications of the two parties;

[0009] An information extraction module based on NLP technology, which monitors communication data in real time and extracts transaction features;

[0010] An intelligent contract management module that extracts contract features from the communication between the two parties and generates a draft contract in combination with the transaction features, and according to the relevant laws and regulations of the two countries or regions, the contract terms are matched and preliminarily audited, and the transaction contract after preliminary audit is confirmed by the two parties and attached with legal provisions;

[0011] A transaction preprocessing unit based on the contract draft to audit the logistics involved, determine the time and status of the logistics, generate a logistics plan, and preprocess the potential risks and costs of different logistics plans based on the willingness of the two parties;

[0012] A customs declaration processing unit that identifies logistics and customs-related data by analyzing discussion trends, keyword frequency and context, generates a customs declaration file, and retrieves a customs declaration procedure solution that meets the requirements of both parties;

[0013] An optimization model that comprehensively maps the transaction process based on the two regions, determines the transaction nodes and records the evaluation node efficiency, eliminates redundant nodes based on the legal differences between the two regions, and realizes the docking of each node through multi-party collaboration based on the contract status.

[0014] In one or more embodiments of the present application, the transaction end verifies the identity, qualifications and credit status of the two parties, protects the data through data encryption, digital signature and blockchain technology, and ensures that the two parties can obtain key information in a timely manner through real-time notification system, message push and status update.

[0015] In one or more embodiments of the present application, the step of real-time monitoring of communication data and extracting transaction features is as follows:

[0016] Obtain real-time chat, email and online communication records, and preprocess the text;

[0017] Spelling errors, informal language, and common grammar variants in communication data are reduced by automatic correction and text filtering algorithms;

[0018] Transaction data in the text is identified and the relationship between the transaction data is clarified using a pre-trained language model and a deep learning model;

[0019] The transaction data is converted into structured data for storage, and the transaction data is converted into transaction features through a data exchange interface and transmitted to the smart contract management module, the transaction preprocessing unit, and the declaration processing unit.

[0020] In one or more embodiments of the present application, the generation of the contract draft is as follows:

[0021] Transaction features are obtained, and contract features are determined in the transaction features;

[0022] Based on the pre-built standard contract template library, the extracted contract features are filled into the contract clause to generate a contract draft through rule matching and semantic matching;

[0023] Based on the transaction features of both parties, the content and structure of the contract draft are determined, as well as the requirements for after-sales, liability for breach of contract, and dispute items in the transaction features.

[0024] In one or more embodiments of the present application, the contract draft based on the mutual legal basis is matched and audited:

[0025] Through matching rule technology, each clause in the contract draft is detected for legal basis to determine whether the contract clause complies with the legal provisions of both parties;

[0026] The generated contract draft is preliminarily audited to identify conflicting content with local regulations;

[0027] If potential vulnerabilities or clauses that do not comply with regulations are detected, a warning is triggered to supplement the legal protection clause;

[0028] The contract clause is supplemented with relevant legal clause basis and explanation, informing both parties of the specific legal provisions, precedents, and regulatory requirements of the clause basis;

[0029] The audited contract draft is pushed to both parties through the transaction end, and both parties can view, discuss, and provide modification suggestions online.

[0030] In one or more embodiments of the present application, the generation of the logistics scheme based on the contract draft is as follows:

[0031] Extract the logistics key information in the contract draft: delivery time, delivery location, transportation mode requirement, loading and unloading requirement, and transportation condition;

[0032] Based on the logistics key information, the logistics time limit is audited, according to the delivery period agreed in the contract, whether the logistics scheme meets the delivery time requirement is checked, the feasibility of the delivery period is verified by using historical data and real-time logistics network data, the arrival time and delay risk are estimated;

[0033] By using the logistics planning algorithm, the transportation route, time, price and shipping mode of each service provider are integrated, and multiple candidate schemes are generated;

[0034] According to the contract requirements and actual transportation capacity, each candidate scheme is evaluated, a prediction model is established, and the performance of each scheme in the time limit, cost and safety dimensions is quantified, and a scheme score is generated.

[0035] In one or more embodiments of the present application, each candidate logistics scheme is evaluated in multiple dimensions based on contract requirements, transportation capacity data, cost-related data, safety and risk data through a prediction model:

[0036] Construct a feature vector: estimated transportation time, delay risk index, transportation cost, safety risk score, and contract requirement matching degree;

[0037] Based on the feature vector, an efficiency prediction model, a cost evaluation model and a safety risk evaluation model are established:

[0038] The time limit prediction model takes the estimated transportation time, historical delay data and weather conditions as input features through a regression model to predict the transportation time limit of each scheme, and outputs a predicted time limit score;

[0039] The cost evaluation model predicts the transportation cost by using a linear regression model;

[0040] The safety risk evaluation model generates a safety risk score based on historical accident data and cargo damage rate through risk scoring;

[0041] The three-dimensional scores are weighted and summed to obtain a comprehensive scheme score.

[0042] In one or more embodiments of the present application, a logistics method and a customs declaration procedure scheme that meet the requirements of both parties are retrieved:

[0043] Based on the preferences and requirements of both parties in the communication process, logistics matching is performed by preprocessing data, schemes that meet the requirements of both parties are screened, and service schemes that match the customs clearance requirements of both parties are retrieved;

[0044] Logistics and customs documents are generated for the candidate schemes, and the time limit, cost and safety temperature of each scheme are further quantitatively scored based on risk assessment data.

[0045] In one or more embodiments of the present invention, the entire transaction process is sorted out, the transaction process is divided into several stages, each stage is divided into transaction nodes, the key information of each transaction node is recorded, key performance indicators are defined for each transaction node, the processing efficiency of each node is recorded, inefficient and redundant links are identified, and nodes with similar functions are compared based on the regional operating practices and legal requirements of both parties, and redundant steps are eliminated with the help of data analysis.

[0046] In one or more embodiments of the present invention, based on the differences in laws, regulatory requirements, and trade policies between the two regions, customized processing is performed on nodes involved in legal compliance in the process. For nodes with strict compliance requirements, additional data verification and approval processes are set up. Based on the legal difference information, the transaction node processing status is determined by the rule engine.

[0047] Data integration and information sharing are carried out between various nodes through a unified platform, realizing automatic collaboration from contract signing to logistics docking, customs clearance approval, and risk monitoring. The collaborative platform realizes data interoperability between different business modules based on the API interface, while allowing manual intervention for real-time adjustments, and multi-party communication and rapid processing of abnormal situations.

[0048] Through the above technical solution, the present invention has the following beneficial effects:

[0049] 1. This application can achieve comprehensive optimization from transaction initiation, data collection, contract formulation to logistics and customs clearance, risk monitoring and other links, significantly improving the efficiency and security of cross-border commodity transactions, while reducing information asymmetry, legal compliance and operational risks.

[0050] 2. Efficiently and accurately extract key information from various online communications and convert it into standardized data, providing real-time, complete and reliable data support for subsequent contract generation, logistics arrangements, customs clearance and inspection processes.

[0051] 3. The contract management module implements the entire process of intelligently extracting contract features from communication records, generating contract drafts based on transaction data, and matching and preliminarily reviewing contract terms based on laws and regulations, ensuring that the final contract not only meets the true intentions of both parties to the transaction, but also has sufficient legal basis and compliance guarantees.

[0052] 4. The scoring method based on the predictive model can quantify the performance of candidate logistics solutions in terms of timeliness, cost, and safety, and conduct a comprehensive evaluation based on contract requirements and actual transportation capabilities. Through continuous iteration and feedback optimization of the predictive model, the system can provide both parties with a dynamic, data-driven decision support tool to reduce logistics risks, control costs, and ensure on-time delivery.

[0053] Other features and advantages of the present application will be set forth in the description that follows, and in part will be apparent from the description, or can be learned by practice of the application. The purposes and other advantages of the present application will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings. BRIEF DESCRIPTION OF DRAWINGS

[0054] Figure 1 The schematic diagram of the transaction process optimization system of the present application. DETAILED DESCRIPTION

[0055] Embodiments of the present application will be described below with reference to the accompanying drawings. For the purpose of explanation, numerous specific details are set forth in the following description. It should be appreciated, however, that these specific details are not intended to limit the present application in any way. That is, in some embodiments of the present application, such specific details can not be necessary. Rather, it should be appreciated that the features of the various embodiments can be combined with each other in general, and that different features of the various embodiments can be combined with each other in general.

[0056] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art. Further, the terms used herein are defined as follows unless explicitly defined otherwise. These terms are not to be interpreted in an idealized or overly formal sense.

[0057] Referring to Figure 1 The present application provides a blockchain-based cross-border commodity e-commerce transaction process optimization system, which optimizes the commodity transaction process based on the laws of the two parties, reduces redundancy, improves transparency, and ultimately achieves the goal of reducing cost, improving efficiency, and more accurate risk control.

[0058] The transaction process optimization system comprises:

[0059] A transaction end for initiating and receiving transaction requests, ensuring information symmetry, verifying the identities and qualifications of the two parties to the transaction;

[0060] An information extraction module based on NLP technology, which monitors communication data in real time and extracts transaction features;

[0061] An intelligent contract management module that extracts contract features from the communication between the two parties and generates a draft contract in combination with the transaction features, performs feature matching and preliminary review of the contract terms according to relevant laws and regulations of the countries or regions to which the two parties belong, and submits the transaction contract after preliminary review to the two parties for confirmation and adds legal provisions;

[0062] A transaction preprocessing unit, based on the contract draft, reviews the logistics involved, determines the time and status of the logistics, generates a logistics plan, and preprocesses the potential risks and costs of different logistics plans based on the willingness of both parties.

[0063] A customs declaration processing unit identifies logistics and customs-related data by analyzing discussion trends, keyword frequencies, and contexts, generates a customs declaration file, and retrieves a customs declaration procedure plan that meets the requirements of both parties for logistics methods and customs services.

[0064] An optimization model comprehensively maps the transaction process based on the regions of both parties, determines transaction nodes and records the efficiency of evaluation nodes, eliminates redundant nodes based on legal differences between the regions of both parties, and coordinates multiple parties based on the status of the contract to achieve the connection of each node.

[0065] In an implementable manner, during the transaction process, the communication records of both parties are subjected to language processing, key information in the communication process is identified, the needs and conditions of both parties are captured, and a contract draft is generated based on changes in needs and conditions to optimize the process throughout the transaction process, reduce unnecessary steps, and ensure that each operation is precise and efficient, thereby significantly improving overall transaction speed and satisfaction of both parties while ensuring transaction safety.

[0066] In an implementable manner, during the transaction process, the communication records of both parties are subjected to language processing, key information in the communication process is identified, the needs and conditions of both parties are captured, and a contract draft is generated based on changes in needs and conditions to optimize the process throughout the transaction process, reduce unnecessary steps, and ensure that each operation is precise and efficient, thereby significantly improving overall transaction speed and satisfaction of both parties while ensuring transaction safety.

[0067] In an embodiment, the transaction end verifies the identity, qualifications, and credit status of both parties, protects data through data encryption, digital signature, and blockchain technology, and ensures that both parties can obtain key information in a timely manner through real-time notification systems, message pushing, and status updates.

[0068] In an implementable manner, the transaction end provides a unified platform for buyers and sellers to initiate, receive, and respond to transaction requests, ensuring timely and symmetrical exchange of information.

[0069] By way of example, the transaction end implements the following transaction process:

[0070] User registration and login: Users register an account through the transaction end, upload qualification certificates, and enter the platform after passing system or third-party audit and authentication.

[0071] Initiating a transaction request: After adding friends or matching each other on the transaction end, the buyer and the seller begin to initiate a transaction request, and the system records all interaction data at the same time.

[0072] Real-time communication and information collection: During the communication process, the embedded real-time chat tool transmits the message content to the background information extraction module, capturing key transaction information for subsequent automatic generation of contract drafts or logistics suggestions.

[0073] Transaction status visualization: Users can view the transaction progress in real time on the dashboard, including identity authentication progress, contract review status, logistics preprocessing situation, etc., to ensure information symmetry and process transparency.

[0074] Data security assurance: All key operations are transmitted through encryption and recorded on the blockchain, ensuring transaction data confidentiality, tamper resistance, and facilitating subsequent verification.

[0075] In one embodiment, the steps of real-time monitoring communication data and extracting transaction features are as follows:

[0076] Obtain real-time chat, email, and online communication records, and preprocess the text;

[0077] For spelling errors, informal language, and common grammar variants in communication data, reduce noise through automatic correction and text filtering algorithms;

[0078] Use pre-trained language models and deep learning models to identify transaction data in text and clarify the relationships between transaction data;

[0079] Convert transaction data into structured data for storage, and convert transaction data into transaction features through data exchange interfaces and pass them to the intelligent contract management module, transaction preprocessing unit, and customs declaration processing unit.

[0080] In one implementable way, the information extraction module understands the context in real-time analysis of the conversation process. This module not only focuses on individual messages, but also analyzes the context before and after to ensure accurate information extraction. For example, when both parties are discussing logistics details, the system can determine whether the content is about "time arrangement" or "risk assessment" based on the continuity of the conversation.

[0081] For polysemous words or ambiguous descriptions (such as "express" "fast" "urgent" to describe delivery method and time information), the module uses context relationships and domain knowledge bases for semantic understanding and ambiguity resolution to improve extraction accuracy.

[0082] In another embodiment, the information extraction module creates a transaction profile for each transaction user, further learning and analyzing the relationship between the user's commonly used expression texts, thereby more accurately predicting user needs and providing personalized services.

[0083] In one embodiment, the steps of generating a contract draft are as follows:

[0084] Obtaining transaction features and determining contract features in the transaction features;

[0085] Based on the pre-constructed standard contract template library, the extracted contract features are filled into the contract box through rule matching and semantic matching to generate a contract draft;

[0086] Based on the transaction features of both parties, the content and structure of the contract draft are determined, as well as the requirements for after-sales, breach of contract liability and dispute items in the transaction features.

[0087] In an implementable manner, through named entity recognition and intent recognition, the transaction features such as product specifications, quantity and price, delivery time and delivery location, payment method, logistics requirements, customs clearance, declaration and special requirements are extracted to constitute the basic transaction terms in the contract draft.

[0088] In another embodiment, the explicit information extracted from the communication content is combined with the user transaction status (such as historical transaction data, user qualification, credit score, etc.) to form a more comprehensive transaction view, providing comprehensive data support for filling the contract draft.

[0089] In an embodiment, the contract draft based on the legal basis of both parties is matched and audited:

[0090] Through matching rule technology, the legal basis of each clause in the contract draft is detected to determine whether the contract clause conforms to the legal provisions of both parties;

[0091] The generated contract draft is preliminarily audited to identify conflicting content with local regulations;

[0092] If potential vulnerabilities or clauses that do not conform to regulations are detected, a warning is triggered to supplement legal protection clauses;

[0093] Related legal clause basis and explanation are added to the contract clause to inform both parties of the specific legal provisions, cases and regulatory requirements of the clause basis;

[0094] The audited contract draft will be pushed to both parties through the transaction end, and both parties can view, discuss and make modifications online.

[0095] In an implementable manner, the transaction process optimization system is embedded with a legal rule library and a domain knowledge graph, which includes the current trade regulations, contract law and other legal documents of the countries or regions to which the participating parties belong. Through the legal rule library and the domain knowledge graph, the system can update the relevant legal regulations in real time to ensure the legality and timeliness of the contract content.

[0096] And the contract draft can be collaboratively edited, allowing both parties to provide feedback and adjustments. After both parties confirm, the contract is further secured by digital signatures to ensure its immutability and is recorded on the blockchain for future audits and dispute resolution.

[0097] In another embodiment, to ensure that different language versions of the contract express the same meaning after the exchange of modification opinions between the two parties, contract verification is based on semantic matching:

[0098] Align the key clauses, sentences, and paragraphs in the contracts of both parties, calculate the semantic similarity score for each pair of sentences or paragraphs, and determine whether there are differences according to the pre-set threshold;

[0099] Special recognition and comparison are made for key elements in the contract, such as product name, quantity, price, delivery time, payment method, etc., to ensure that these specific information remains consistent in each language version;

[0100] Contextual and domain knowledge are combined to resolve semantic ambiguity, ensuring that the correspondence of key information in both language versions is not misinterpreted due to language habits and other factors;

[0101] When the semantic difference between the two contract versions in some clauses exceeds the pre-set threshold, a difference report is automatically generated, clearly indicating which clauses have inconsistent expressions, and providing similarity scores and adjustment suggestions.

[0102] In one embodiment, the logistics plan is generated based on the contract draft as follows:

[0103] Extract the logistics key information from the contract draft: delivery time, delivery location, transportation mode requirements, loading and unloading requirements, and transportation conditions;

[0104] Based on the logistics key information, the logistics time efficiency is audited. According to the delivery period agreed in the contract, it is checked whether the logistics plan meets the delivery time requirements. The feasibility of the delivery period is verified using historical data and real-time logistics network data to estimate the arrival time and delay risk;

[0105] Use logistics planning algorithms to integrate transportation routes, schedules, prices, and loading methods from various service providers to generate multiple candidate solutions;

[0106] Evaluate each candidate solution based on contract requirements and actual transportation capacity, build a prediction model, and quantify the performance of each solution in terms of time efficiency, cost, and safety to generate a solution score.

[0107] In one implementable way, based on the multiple candidate solutions generated above, the system recommends a logistics solution with the highest overall score and provides an interactive interface for users to intuitively compare the pros and cons of each solution.

[0108] According to the preferences and risk tolerance levels indicated by both parties in communication, the system further preprocesses the candidate logistics solutions in terms of risk and cost, risk analysis:

[0109] Delay risk: Combined with historical transportation data, weather forecasts, and current port congestion, the delay probability of each solution is evaluated.

[0110] Customs clearance and customs clearance risk: According to the customs data and trade policy dynamics of the countries to which the two parties belong, the delay or policy risk of customs clearance procedures is evaluated.

[0111] Transportation loss risk: For perishable goods, the risk of damage during transportation is quantified through a scoring mechanism (such as temperature control failure, collision risk, etc.).

[0112] Cost evaluation, analysis of the overall transportation cost, insurance premium and potential additional cost (warehouse fee, fine, etc.) of different solutions, using prediction model to predict fuel cost and labor cost on transportation path.

[0113] In one embodiment, based on contract requirements, transportation capacity data, cost-related data, safety and risk data, each candidate logistics solution is evaluated in multiple dimensions through a prediction model:

[0114] Construct feature vector: predicted transportation time, delay risk index, transportation cost, safety risk score, contract requirement matching degree;

[0115] Based on the feature vector, establish time efficiency prediction model, cost evaluation model and safety risk evaluation model:

[0116] Time efficiency prediction model, through regression model, predicted transportation time, historical delay data and weather conditions as input features, predict the transportation efficiency of each solution, output predicted efficiency score;

[0117] Cost evaluation model, through linear regression model to predict transportation cost, calculate the transportation cost of the solution;

[0118] Safety risk assessment model, based on historical accident data, cargo loss rate through risk scoring, generate safety risk score;

[0119] The three-dimensional score is weighted and summed to integrate into a comprehensive solution score.

[0120] In one implementable way, the comprehensive solution score f:

[0121] f = w T × Q1 + w c × Q2 + w s × Q3;

[0122] wherein w T , w c , w s are the weights of the time, cost and safety dimensions, which are set according to the key indicators of both parties, and Q1, Q2 and Q3 are the time score, cost score and safety score, respectively.

[0123] All candidate solutions are ranked according to the comprehensive score, and the solution with the highest score is recommended, and a detailed evaluation report is output, listing the specific values and risk sources of each candidate solution in the time, cost and safety dimensions, providing a reference for decision-making by both parties.

[0124] The scoring method based on the prediction model can quantify the performance of the candidate logistics solution in the time, cost and safety dimensions, and conduct a comprehensive evaluation according to the contract requirements and actual transportation capacity. By continuously iterating and optimizing the prediction model, the system can provide a dynamic, data-driven decision support tool for both parties, reducing logistics risks, controlling costs and ensuring timely delivery.

[0125] In one embodiment, the logistics methods and customs clearance service reporting procedures that meet the requirements of both parties are retrieved:

[0126] Based on the preferences and requirements of both parties during the communication process, the logistics matching is performed through pre-processing data, the solutions that meet the requirements of both parties are screened, and the service solutions that match the customs clearance requirements of both parties are retrieved;

[0127] The logistics and customs clearance files are generated for the candidate solutions, and the time, cost and safety scores of each solution are further quantified based on the risk assessment data.

[0128] In one implementable manner, the database information of logistics service providers and customs clearance service providers is pre-integrated, including the transportation methods, schedules, fees, historical customs clearance success rates, regional qualification certifications provided by each service provider, etc. Real-time queries of sea, air and land transportation solutions are performed, and customs clearance efficiency and cost data of each transportation method in a specific region are obtained.

[0129] In one embodiment, the transaction process is fully analyzed and divided into several stages, each stage is divided into transaction nodes, the key information of each transaction node is recorded, the key performance indicators for each transaction node are defined, the processing efficiency of each node is recorded, the inefficient and redundant links are identified, and according to the regional operation practices and legal requirements of both parties, the nodes with similar functions are compared, and redundant steps are eliminated through data analysis.

[0130] In one implementable manner, the efficiency indicator design includes:

[0131] Time efficiency indicators: such as node processing time, average waiting time, response time.

[0132] Accuracy indicators: such as error rate, rework rate.

[0133] Success rate of execution: such as contract review pass rate, logistics docking success rate, etc.

[0134] Among them, the key information of each node includes start time, end time, processor / department, node input and output data, etc., which provides data basis for subsequent efficiency evaluation and improvement.

[0135] For example, the transaction process is divided into several stages such as pre-communication, qualification review, contract negotiation and generation, payment, logistics arrangement, customs clearance, acceptance and after-sales service.

[0136] Each stage is subdivided into specific nodes, such as "transaction request submission", "identity authentication", "contract draft generation", "contract review", "payment confirmation", "logistics preprocessing", "reporting and approval", "freight monitoring", "acceptance feedback".

[0137] In one embodiment, based on the differences in laws, regulatory requirements and trade policies of two regions, the nodes involving legal compliance in the process are customized, for the nodes with strict compliance requirements, additional data verification and approval process is set, according to the legal difference information, the transaction node processing state is determined through the rule engine;

[0138] Each node integrates and shares data through a unified platform, realizes automatic collaboration from contract signing to logistics docking, clearance approval and risk monitoring, the collaboration platform realizes data interconnection between different business modules based on API interface, and allows manual intervention for real-time adjustment, and communicates and quickly handles abnormal situations.

[0139] In an implementable way, by fully mapping the transaction process, recording and evaluating the efficiency of each node, combining the legal differences of both regions and eliminating redundant links, the system can realize end-to-end multi-party collaboration docking based on the contract status.

[0140] Although the present application is disclosed in combination with the above embodiments, it is not intended to limit the present application, and any skilled person can make various modifications and embellishments without departing from the spirit and scope of the present application, therefore the protection scope of the present application should be defined by the appended claims.

Claims

1. A cross-border bulk commodity e-commerce transaction process optimization system based on blockchain, characterized by: include: The transaction terminal is used to initiate and receive transaction requests, ensure information symmetry, and verify the identities and qualifications of both parties to the transaction; The information extraction module, based on NLP technology, monitors communication data in real time and extracts transaction features; The smart contract management module extracts contract features from the communication between the two parties and generates a draft contract based on the transaction features. It then matches the features and conducts a preliminary review of the contract terms based on the relevant laws and regulations of the countries or regions where both parties are located. The transaction contract after the preliminary review is then submitted to both parties for confirmation and the legal terms are attached. The transaction pre-processing unit reviews the logistics involved based on the draft contract, determines the time and status of the logistics, generates a logistics plan, and pre-processes the potential risks and costs of different logistics plans based on the wishes of both parties; The inspection and quarantine processing unit analyzes discussion trends, keyword frequency, and context to identify logistics and customs clearance related data, generate inspection and quarantine documents, and retrieve inspection and quarantine procedures that meet the requirements of both parties for logistics methods and customs clearance services; The optimization model comprehensively maps the transaction process based on the regions of both parties, determines the transaction nodes and records and evaluates the efficiency of the nodes. In combination with the legal differences between the two regions, redundant nodes are eliminated, and multi-party collaboration is carried out based on the contract status to achieve the docking of each node.

2. The cross-border bulk commodity e-commerce transaction process optimization system based on blockchain according to claim 1 is characterized in that: The transaction end verifies the identities, qualifications and credit status of both parties, protects data through data encryption, digital signatures and blockchain technology, and ensures that both parties can obtain key information in a timely manner through real-time notification systems, message push and status updates.

3. The cross-border bulk commodity e-commerce transaction process optimization system based on blockchain according to claim 2 is characterized in that: The steps for real-time monitoring of communication data and extracting transaction features are as follows: Obtain real-time chat, email, and online communication records and pre-process the text; Reduce noise in communication data by using automatic error correction and text filtering algorithms to detect spelling errors, informal language, and common grammatical variations; Use pre-trained language models and deep learning models to identify transaction data in text and clarify the relationship between transaction data; Transaction data is converted into structured data for storage, and is converted into transaction features through the data exchange interface and passed to the smart contract management module, transaction preprocessing unit and inspection processing unit.

4. The cross-border bulk commodity e-commerce transaction process optimization system based on blockchain according to claim 3 is characterized in that: The steps to generate a draft contract are as follows: Obtaining transaction characteristics and determining contract characteristics in the transaction characteristics; Based on the pre-built standard contract template library, the extracted contract features are filled into the contract clauses through rule matching and semantic matching to generate a contract draft; Based on the transaction characteristics of both parties, determine the content and structure of the draft contract, as well as the requirements for after-sales, breach of contract liability and dispute items in the transaction characteristics.

5. The cross-border bulk commodity e-commerce transaction process optimization system based on blockchain according to claim 4 is characterized in that: Feature matching and review of the draft contract based on the legal basis of both parties: Through matching rule technology, each clause in the draft contract is tested for legal basis to determine whether the contract clause complies with the legal provisions of both parties; Conduct a preliminary review of the generated draft contract to identify any conflicts with local regulations; If potential loopholes or clauses that are inconsistent with regulations are detected, an alert will be triggered to supplement legal protection clauses; Attach relevant legal basis and explanations to the contract terms, informing both parties of the specific legal provisions, precedents, and regulatory requirements that the terms are based on; The reviewed draft contract will be pushed to both parties through the transaction terminal, and both parties will review, discuss and propose amendments online.

6. The cross-border bulk commodity e-commerce transaction process optimization system based on blockchain according to claim 5 is characterized in that: The steps to generate a logistics plan based on the draft contract are as follows: Extract key logistics information from the draft contract: delivery time, delivery location, transportation method requirements, loading and unloading requirements and transportation conditions; Conduct logistics timeliness audits based on key logistics information. Verify whether the logistics plan meets the delivery time requirements according to the contractually agreed delivery date. Use historical data and real-time logistics network data to verify the feasibility of the delivery date and estimate arrival time and delay risks. Using logistics planning algorithms, we integrate the transportation routes, time schedules, freight rates, and shipping methods of various service providers to generate multiple candidate solutions. Each candidate solution is evaluated based on contract requirements and actual transportation capacity, and a prediction model is established to quantify the performance of each solution in terms of timeliness, cost, and safety, and generate a solution score.

7. The cross-border bulk commodity e-commerce transaction process optimization system based on blockchain according to claim 6 is characterized in that: Based on contract requirements, transportation capacity data, cost-related data, safety and risk data, a predictive model is used to evaluate each candidate logistics solution in multiple dimensions: Construct a feature vector: estimated transportation time, delay risk indicator, transportation cost, safety risk score, and contract requirement matching degree; Establish timeliness prediction model, cost assessment model and security risk assessment model based on feature vector: The timeliness prediction model uses a regression model to take estimated shipping time, historical delay data, and weather conditions as input features, predicts the shipping timeliness of each option, and outputs a predicted timeliness score. Cost evaluation model, which uses linear regression model to predict transportation costs and calculate the transportation cost of the plan; The safety risk assessment model generates a safety risk score based on historical accident data and cargo damage rates through risk scoring; The weighted sum of the scores of the three dimensions is integrated into the comprehensive solution score.

8. The cross-border bulk commodity e-commerce transaction process optimization system based on blockchain according to claim 7 is characterized in that: Search for logistics methods, customs clearance services and inspection procedures that meet the requirements of both parties: Based on the preferences and requirements of both parties during the communication process, we conduct logistics matching by pre-processing data, screen solutions that meet the requirements of both parties, and search for matching service solutions based on the customs clearance needs of both parties; Generate logistics and customs clearance documents for candidate solutions, and combine risk assessment data to further quantify and score each solution in terms of timeliness, cost, and safety.

9. The cross-border bulk commodity e-commerce transaction process optimization system based on blockchain according to claim 8 is characterized in that: We will sort out the entire transaction process, divide it into several stages, divide each stage into transaction nodes, record the key information of each transaction node, define key performance indicators for each transaction node, record the processing efficiency of each node, identify inefficient and redundant links, compare nodes with similar functions based on the regional operational practices and legal requirements of both parties, and eliminate redundant steps with the help of data analysis.

10. The cross-border bulk commodity e-commerce transaction process optimization system based on blockchain according to claim 9 is characterized in that: Based on the differences in laws, regulatory requirements, and trade policies between the two regions, we customize the legal compliance nodes in the process. For nodes with strict compliance requirements, we set up additional data verification and approval processes. Based on the legal differences, the rules engine determines the transaction node processing status. Data integration and information sharing are carried out between various nodes through a unified platform, realizing automatic collaboration from contract signing to logistics docking, customs clearance approval, and risk monitoring. The collaborative platform realizes data interoperability between different business modules based on the API interface, while allowing manual intervention for real-time adjustments, and multi-party communication and rapid processing of abnormal situations.

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