A method and system for customs declaration of order information for cross-border trade

Abstract

The present invention discloses a customs declaration method and system for order information for cross-border trade, and relates to the technical field of customs declaration. During operation of the system, order information is collected through an e-commerce platform logistics company and a payment system, and relevant data on order quality, efficiency and compliance are obtained, and the data are cleaned, verified and formatted, and the following are obtained after calculation: a cross-border declaration index Kjsb is obtained, and whether a commodity code and a tax number meet the customs declaration requirements is checked, the missing information is automatically filled, and the tax number and the commodity code are automatically matched. According to the customs declaration specification, the pre-processed and verified order data is converted into a data format that meets the declaration requirements, and the generated customs declaration data is submitted to the customs system through an API or EDI interface, and feedback is obtained. By comparing the cross-border declaration index Kjsb with a preset threshold M, an abnormal evaluation plan is obtained, and abnormal situations are processed, and relevant personnel are notified to intervene or automatically re-declare.

Description

Technical Field

[0001] The present invention relates to the technical field of customs declaration, and in particular to a method and system for customs declaration of order information for cross-border trade. Background Art

[0002] With the acceleration of global economic integration, cross-border e-commerce has become an important part of international trade. E-commerce platforms provide enterprises and consumers with a convenient shopping experience, while logistics management ensures the fast and safe delivery of orders. In cross-border trade, accurate customs declaration is a key link to ensure the smooth import and export of goods. Order information customs declaration not only involves detailed data such as the name, quantity, unit price, etc. of the goods, but also includes complex customs regulations and tax requirements. Therefore, improving the accuracy and efficiency of order information declaration in cross-border trade is of great significance to reducing customs clearance time, reducing declaration error rate, and improving international logistics efficiency.

[0003] The existing customs declaration system for order information for cross-border trade often faces problems such as inaccurate data, irregular formats, and insufficient verification when processing order data. The traditional declaration process often relies on manual operations, which is prone to data entry errors, information omissions, and declaration delays. These problems not only affect the timeliness and accuracy of declarations, but also increase the workload of manual review and reduce overall processing efficiency. In addition, the traditional system lacks an automated verification and correction mechanism during data processing, resulting in a high error rate and low system reliability during the declaration process.

[0004] The shortcomings of these existing systems are mainly due to the inefficiency of manual operations and data processing. Due to the lack of automated data cleaning and verification, redundancy, errors and missing information in order data are not effectively handled, which greatly reduces the accuracy of declaration data. As a result, customs declarations are often wrong and need to be resubmitted or manually corrected, which not only wastes time, but may also cause declaration delays and affect the efficiency of the entire logistics chain. This situation often exposes companies to additional declaration fees and potential compliance risks, further reducing the smoothness and efficiency of cross-border trade. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method and system for customs declaration of order information for cross-border trade, which solves the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an order information customs declaration system for cross-border trade, including an order data collection module, a data preprocessing module, a data verification and completion module, a customs declaration data generation module, an automatic declaration module and an exception handling module;

[0007] The order data collection module is used to collect order information through the e-commerce platform logistics company and payment system, including transaction data, commodity information, commodity name, quantity, unit price, order amount, buyer information and seller information, and obtain relevant data on order quality, efficiency and compliance. The order data collection module is used to obtain the order data quality unit of the first data group, the customs declaration efficiency unit of the second data group and the compliance data collection unit of the third data group;

[0008] The data preprocessing module is used to clean, verify and format the collected order data, including removing redundant and erroneous data, normalizing the preprocessed data, and obtaining the cross-border declaration index Kjsb after calculation. The data processing unit is used to automatically process the formatting and conversion of data through a data formatting tool, format and normalize the first data group, the second data group and the third data group, and obtain the cross-border declaration index Kjsb, the order data quality coefficient Ddzl, the customs declaration efficiency coefficient Sbxl and the compliance coefficient Hgxs after calculation.

[0009] The data verification and completion module is used to verify the legality and integrity of the order data, check whether the commodity code and tax number meet the customs declaration requirements, automatically complete the missing information, and automatically match the tax number and commodity code;

[0010] The customs declaration data generation module is used to convert the pre-processed and verified order data into a data format that meets the declaration requirements according to the customs declaration specifications;

[0011] The automatic declaration module is used to submit the generated customs declaration data to the customs system through the API or EDI interface, obtain feedback, monitor the declaration process, successfully upload the data and receive feedback information;

[0012] The exception handling module is used to process the declaration status information fed back by the customs, including information on successful, failed or modified declarations, obtain the exception assessment plan by comparing the cross-border declaration index Kjsb with the preset threshold M, and handle the abnormal situation, notifying relevant personnel to intervene or automatically re-declare.

[0013] Preferably, the order data quality unit is used to collect the total number of orders, the number of valid orders, the number and proportion of errors in the data, the proportion of duplicate data detected and recorded, and the proportion of missing items in the recorded data through the e-commerce platform interface and the order management system, and obtain: the number of valid orders Yxdd, the total number of orders Zdds, the data error rate Sjcw, the data duplication rate Sjcf, and the data missing rate Sjqs as the first data group;

[0014] The customs declaration efficiency unit is used to collect and analyze the time and efficiency indicators of the declaration process, the time from submitting a declaration to receiving feedback, the response time of the customs system to the declaration, the proportion of successful declarations, the proportion of failed declarations and the number of times re-declaration is required through the declaration management system and the API interface monitoring tool, and obtain: declaration processing time Sbcl, system response time Xtxy, declaration pass rate Sbtg, declaration failure rate Sbsb and number of re-declarations Cxcs as the second data group;

[0015] The compliance data collection unit is used to track and record the compliance of orders in the equipment library, detect and record abnormal situations in declarations, and obtain: the number of compliant orders Hgdd, the total number of declared orders Xsbs, the number of fines Fkcs, the number of declaration rejections Sbjj and the number of abnormal orders Ycdd as the third data group.

[0016] Preferably, the data preprocessing module includes a data cleaning unit;

[0017] The data cleaning unit is used to detect and delete duplicate order data, identify and correct errors in the data, and fill in or remove missing order information;

[0018] The cross-border declaration index Kjsb is calculated by the following formula:

[0019] ;

[0020] In the formula, Kjsb represents the cross-border declaration index, Ddzl represents the order data quality coefficient, Sbxl represents the customs declaration efficiency coefficient, and Hgxs represents the compliance coefficient;

[0021] The order data quality coefficient Ddzl is calculated by the following formula:

[0022] ;

[0023] Where Yxdd represents the number of valid orders, Zdds represents the total number of orders, Sjcw represents the data error rate, Sjcf represents the data duplication rate, and Sjqs represents the data missing rate.

[0024] Preferably, the customs declaration efficiency coefficient Sbxl is calculated by the following formula:

[0025] ;

[0026] In the formula, Sbcl represents the declaration processing time, Xtxy represents the system response time, Sbtg represents the declaration pass rate, Sbsb represents the declaration failure rate, and Cxcs represents the number of re-declarations.

[0027] Preferably, the compliance coefficient Hgxs is calculated by the following formula:

[0028] ;

[0029] In the formula, Hgdd represents the number of compliant orders, Xsbs represents the total number of declared orders, Fkcs represents the number of fines, Sbjj represents the number of declaration rejections, and Ycdd represents the number of abnormal orders.

[0030] Preferably, the data verification and completion module includes a data legitimacy verification unit and a data matching unit;

[0031] The data legitimacy verification unit is used to provide standard commodity coding information, check whether the commodity coding is valid and meets the standards, and provide valid tax number information to verify the tax number;

[0032] The data matching unit is used to automatically complete missing items in the order data based on known information from the product code database, tax number database and order management system through an intelligent completion algorithm tool, automatically match the correct tax number based on the product information, and automatically match the standard product code based on the product description.

[0033] Preferably, the customs declaration data generation module includes a data format conversion unit;

[0034] The data format conversion unit is used to convert the pre-processed and verified order data into a data format that meets the customs declaration requirements. According to the customs declaration specifications, the order data is formatted and the various data items in the order are merged into a complete declaration file. After the declaration data is generated, a final verification is performed.

[0035] Preferably, the automatic declaration module includes an automatic declaration unit;

[0036] The automatic declaration unit is used to automatically submit the generated declaration data to the customs system through the API or EDI interface, obtain feedback information from the customs system in real time, record the status of the feedback, including successful declaration, failed declaration and the reasons, monitor each step of the declaration process, and handle abnormal situations that occur during the declaration process, including data transmission failure and customs system response timeout. When the declaration fails, the error cause is automatically recorded and corrections are made based on the feedback information.

[0037] Preferably, the exception handling module includes an exception detection unit;

[0038] The anomaly detection unit is used to compare the cross-border declaration index Kjsb with the preset threshold M to determine the abnormal state of the declaration, and apply the graded strategy scheme to evaluate the anomaly:

[0039] When the cross-border declaration index Kjsb ≤ the preset threshold M, the first status level is obtained, the declaration status is classified as abnormal, the declaration data is automatically generated and resubmitted, and the declaration specialist is notified to check the declaration data and make manual corrections;

[0040] When the cross-border declaration index Kjsb>M, obtain the second status level, classify the declaration status as normal, make final confirmation of the declaration data, analyze the declaration data and processing process, record the details and process of successful declaration, collect positive feedback, and improve the data processing process and system settings based on the experience of successful declaration.

[0041] A method for customs declaration of order information for cross-border trade, comprising the following steps:

[0042] Step 1: Collect order information from e-commerce platform logistics companies and payment systems, including transaction data, product information, product name, quantity, unit price, order amount, buyer information, and seller information, and obtain relevant data on order quality, efficiency, and compliance;

[0043] Step 2: Clean, verify and format the collected order data, including removing redundant and erroneous data, normalizing the pre-processed data, and calculating and obtaining the cross-border declaration index Kjsb;

[0044] Step 3: Verify the legitimacy and completeness of the order data, check whether the product code and tax number meet the customs declaration requirements, automatically fill in the missing information, and automatically match the tax number and product code;

[0045] Step 4: According to the customs declaration specifications, convert the pre-processed and verified order data into a data format that meets the declaration requirements;

[0046] Step 5: Submit the generated customs declaration data to the customs system through API or EDI interface, obtain feedback, monitor the declaration process, ensure the data is successfully uploaded and receive feedback information;

[0047] Step 6: Process the declaration status information fed back by the customs, including information on successful, failed or modified declarations, compare the cross-border declaration index Kjsb with the preset threshold M, obtain the abnormal assessment plan, handle the abnormal situation, and notify relevant personnel to intervene or automatically re-declare.

[0048] The present invention provides a method and system for customs declaration of order information for cross-border trade, which has the following beneficial effects:

[0049] (1) When the system is running, it collects order information through the e-commerce platform logistics company and payment system, obtains relevant data on order quality, efficiency and compliance, and cleans, verifies and formats it. After calculation, it obtains: cross-border declaration index Kjsb, checks whether the commodity code and tax number meet the customs declaration requirements, automatically fills in the missing information, automatically matches the tax number and commodity code, and converts the pre-processed and verified order data into a data format that meets the declaration requirements according to the customs declaration specifications. The generated customs declaration data is submitted to the customs system through the API or EDI interface and feedback is obtained. By comparing the cross-border declaration index Kjsb with the preset threshold M, an abnormal assessment plan is obtained, and abnormal situations are handled, and relevant personnel are notified to intervene or automatically re-declare.

[0050] (2) Ensure the accuracy and completeness of data by deleting duplicate data, correcting errors, and filling in missing information. Improve the efficiency of declaration data processing through unified data format and normalization processing. Reduce declaration processing time, improve system response speed, and increase declaration approval rate. Ensure that declaration data meets customs requirements through a combination of automated tools and manual review, reduce the number of declaration rejections and fines, and ensure the compliance of declarations. By comprehensively calculating the cross-border declaration index Kjsb and correlation coefficient, comprehensively evaluate the quality, efficiency and compliance of declarations, provide comprehensive declaration evaluation and improvement suggestions, and optimize the overall declaration process.

[0051] (3) Ensure data accuracy and reduce declaration errors by verifying the legality of commodity codes and tax numbers. Intelligently complete missing information and match correct data to reduce manual intervention and improve data processing efficiency. Convert data formats to standard formats that meet customs declaration requirements to ensure the integrity and consistency of declaration data. Reduce declaration errors caused by inconsistent data formats through the final verification step. Obtain feedback from the customs system in real time through API or EDI interface and respond quickly to declaration status. Monitor abnormal situations in the declaration process and make corrections to improve the success rate of declaration. Record declaration status and error causes to facilitate subsequent analysis and improvement of the declaration process.

[0052] (4) By comparing the cross-border declaration index with the preset threshold, abnormal status in the declaration can be detected in time to ensure the accuracy of the declaration data. Automatically generate and resubmit declaration data to reduce errors caused by manual operations and improve the quality of declaration data. When the declaration status is abnormal, automatically notify the declaration specialist to make manual corrections to improve the efficiency of exception handling. By recording the details and feedback of successful declarations, analyze the advantages and disadvantages of the processing process, and improve the data processing process and system settings. Record the details and process of successful declarations to help identify the key factors for success and optimize the declaration strategy. By collecting and analyzing positive feedback, further improve the declaration data processing and increase the success rate of declarations. Effectively manage and handle abnormal situations in the declaration process to ensure the reliability and stability of the system under different circumstances. Based on the results of exception handling and successful experience, continuously optimize system settings to improve overall performance and user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 This invention is an order information customs declaration system for cross-border trade;

[0054] Figure 2 The present invention is a schematic diagram of the steps of a method for customs declaration of order information for cross-border trade. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] Example 1

[0057] The present invention provides an order information customs declaration system for cross-border trade, please refer to Figure 1 , including order data collection module, data preprocessing module, data verification and completion module, customs declaration data generation module, automatic declaration module and exception handling module;

[0058] The order data collection module is used to collect order information through the e-commerce platform logistics company and payment system, including transaction data, commodity information, commodity name, quantity, unit price, order amount, buyer information and seller information, and obtain relevant data on order quality, efficiency and compliance. The order data collection module is used to obtain the order data quality unit of the first data group, the customs declaration efficiency unit of the second data group and the compliance data collection unit of the third data group;

[0059] The data preprocessing module is used to clean, verify and format the collected order data, including removing redundant and erroneous data, normalizing the preprocessed data, and obtaining the cross-border declaration index Kjsb after calculation. The data processing unit is used to automatically process the formatting and conversion of data through a data formatting tool, format and normalize the first data group, the second data group and the third data group, and obtain the cross-border declaration index Kjsb, the order data quality coefficient Ddzl, the customs declaration efficiency coefficient Sbxl and the compliance coefficient Hgxs after calculation.

[0060] The data verification and completion module is used to verify the legality and integrity of the order data, check whether the product code and tax number meet the customs declaration requirements, automatically complete the missing information, and automatically match the tax number and product code;

[0061] The customs declaration data generation module is used to convert the pre-processed and verified order data into a data format that meets the declaration requirements according to the customs declaration specifications;

[0062] The automatic declaration module is used to submit the generated customs declaration data to the customs system through the API or EDI interface, obtain feedback, monitor the declaration process, successfully upload the data and receive feedback information;

[0063] The exception handling module is used to process the declaration status information fed back by the customs, including information on successful, failed or modified declarations, obtain the exception assessment plan by comparing the cross-border declaration index Kjsb with the preset threshold M, and handle the abnormal situation, notifying relevant personnel to intervene or automatically re-declare.

[0064] In this embodiment, order information is collected through the logistics company and payment system of the e-commerce platform, and relevant data on the quality, efficiency and compliance of the order are obtained. The collected order data is cleaned, verified and formatted, and the pre-processed data is normalized. After calculation, the following is obtained: the cross-border declaration index Kjsb, the legality and completeness of the order data are verified, and whether the commodity code and tax number meet the customs declaration requirements are checked. The missing information is automatically filled, and the tax number and commodity code are automatically matched. According to the customs declaration specifications, the pre-processed and verified order data is converted into a data format that meets the declaration requirements. The generated customs declaration data is submitted to the customs system through the API or EDI interface, and feedback is obtained. The cross-border declaration index Kjsb is compared with the preset threshold M to obtain an abnormal evaluation plan, and the abnormal situation is handled, and the relevant personnel are notified to intervene or automatically re-declare.

[0065] Example 2

[0066] This embodiment is explained in Example 1, please refer to Figure 1Specifically: the order data quality unit is used to collect the total number of orders, the number of valid orders, the number and proportion of errors in the data, the proportion of detecting and recording duplicate data, and the proportion of missing items in the recorded data through the e-commerce platform interface and the order management system, and obtain: the number of valid orders Yxdd, the total number of orders Zdds, the data error rate Sjcw, the data duplication rate Sjcf and the data missing rate Sjqs as the first data group;

[0067] The customs declaration efficiency unit is used to collect and analyze the time and efficiency indicators of the declaration process, the time from submitting a declaration to receiving feedback, the response time of the customs system to the declaration, the proportion of successful declarations, the proportion of failed declarations and the number of times re-declaration is required through the declaration management system and the API interface monitoring tool, and obtain: declaration processing time Sbcl, system response time Xtxy, declaration pass rate Sbtg, declaration failure rate Sbsb and number of re-declarations Cxcs as the second data group;

[0068] The compliance data collection unit is used to track and record the compliance of orders in the equipment library, detect and record abnormal situations in declarations, and obtain: the number of compliant orders Hgdd, the total number of declared orders Xsbs, the number of fines Fkcs, the number of declaration rejections Sbjj and the number of abnormal orders Ycdd as the third data group.

[0069] The data preprocessing module includes a data cleaning unit and a data processing unit;

[0070] The data cleaning unit is used to detect and delete duplicate order data, identify and correct errors in the data, and fill in or remove missing order information;

[0071] The data processing unit is used to automatically process the formatting and conversion of data through a data formatting tool, format and normalize the first data group, the second data group and the third data group, and obtain after calculation: the cross-border declaration index Kjsb, the order data quality coefficient Ddzl, the customs declaration efficiency coefficient Sbxl and the compliance coefficient Hgxs;

[0072] The cross-border declaration index Kjsb is calculated by the following formula:

[0073] ;

[0074] In the formula, Kjsb represents the cross-border declaration index, Ddzl represents the order data quality coefficient, Sbxl represents the customs declaration efficiency coefficient, and Hgxs represents the compliance coefficient;

[0075] The order data quality coefficient Ddzl is calculated by the following formula:

[0076] ;

[0077] Where Yxdd represents the number of valid orders, Zdds represents the total number of orders, Sjcw represents the data error rate, Sjcf represents the data duplication rate, and Sjqs represents the data missing rate.

[0078] The customs declaration efficiency coefficient Sbxl is calculated by the following formula:

[0079] ;

[0080] In the formula, Sbcl represents the declaration processing time, Xtxy represents the system response time, Sbtg represents the declaration pass rate, Sbsb represents the declaration failure rate, and Cxcs represents the number of re-declarations.

[0081] The compliance coefficient Hgxs is calculated by the following formula:

[0082] ;

[0083] In the formula, Hgdd represents the number of compliant orders, Xsbs represents the total number of declared orders, Fkcs represents the number of fines, Sbjj represents the number of declaration rejections, and Ycdd represents the number of abnormal orders.

[0084] In this embodiment, the accuracy and completeness of the data are ensured by deleting duplicate data, correcting errors, and filling in missing information. The efficiency of declaration data processing is improved through unified data format and normalization processing. The declaration processing time is reduced, the system response speed is improved, and the declaration approval rate is increased. By combining automated tools and manual review, it is ensured that the declaration data meets the requirements of the customs, the number of declaration rejections and fines is reduced, and the compliance of the declaration is ensured. By comprehensively calculating the cross-border declaration index Kjsb and the correlation coefficient, the quality, efficiency and compliance of the declaration are comprehensively evaluated, and a comprehensive declaration evaluation and improvement suggestions are provided to optimize the overall declaration process.

[0085] Example 3

[0086] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the data verification and completion module includes a data legitimacy verification unit and a data matching unit;

[0087] The data legitimacy verification unit is used to provide standard commodity coding information, check whether the commodity coding is valid and meets the standards, and provide valid tax number information to verify the tax number;

[0088] The data matching unit is used to automatically complete missing items in the order data based on known information from the product code database, tax number database and order management system through an intelligent completion algorithm tool, automatically match the correct tax number based on the product information, and automatically match the standard product code based on the product description.

[0089] The customs declaration data generation module includes a data format conversion unit;

[0090] The data format conversion unit is used to convert the pre-processed and verified order data into a data format that meets the customs declaration requirements. According to the customs declaration specifications, the order data is formatted and the various data items in the order are merged into a complete declaration file. After the declaration data is generated, a final verification is performed.

[0091] The automatic declaration module includes an automatic declaration unit;

[0092] The automatic declaration unit is used to automatically submit the generated declaration data to the customs system through the API or EDI interface, obtain feedback information from the customs system in real time, record the status of the feedback, including successful declaration, failed declaration and the reasons, monitor each step of the declaration process, and handle abnormal situations that occur during the declaration process, including data transmission failure and customs system response timeout. When the declaration fails, the error cause is automatically recorded and corrections are made based on the feedback information.

[0093] In this embodiment, the legality of the commodity code and tax number is checked to ensure the accuracy of the data and reduce declaration errors. Intelligently complete missing information and match correct data to reduce manual intervention and improve data processing efficiency. Convert the data format to a standard format that meets the customs declaration requirements to ensure the integrity and consistency of the declared data. Through the final verification step, declaration errors caused by inconsistent data formats are reduced. Obtain feedback information from the customs system in real time through the API or EDI interface and respond quickly to the declaration status. Monitor abnormal situations in the declaration process and make corrections to improve the success rate of the declaration. Record the declaration status and error causes to facilitate subsequent analysis and improvement of the declaration process.

[0094] Example 4

[0095] This embodiment is explained in Example 1, please refer to Figure 1 ,Specifically: the exception handling module includes an exception detection unit;

[0096] The anomaly detection unit is used to compare the cross-border declaration index Kjsb with the preset threshold M to determine the abnormal state of the declaration, and apply the graded strategy scheme to evaluate the anomaly:

[0097] When the cross-border declaration index Kjsb ≤ the preset threshold M, the first status level is obtained, the declaration status is classified as abnormal, the declaration data is automatically generated and resubmitted, and the declaration specialist is notified to check the declaration data and make manual corrections;

[0098] When the cross-border declaration index Kjsb>M, obtain the second status level, classify the declaration status as normal, make final confirmation of the declaration data, analyze the declaration data and processing process, record the details and process of successful declaration, collect positive feedback, and improve the data processing process and system settings based on the experience of successful declaration.

[0099] In this embodiment, by comparing the cross-border declaration index with the preset threshold, abnormal status in the declaration is detected in time to ensure the accuracy of the declaration data. Automatically generate and resubmit declaration data to reduce errors caused by manual operations and improve the quality of declaration data. When the declaration status is abnormal, automatically notify the declaration specialist to make manual corrections to improve the efficiency of exception handling. By recording the details and feedback of successful declarations, analyze the advantages and disadvantages of the processing process, and improve the data processing process and system settings. Record the details and process of successful declarations to help identify the key factors for success and optimize the declaration strategy. By collecting and analyzing positive feedback, further improve the declaration data processing and increase the success rate of declarations. Effectively manage and handle abnormal situations in the declaration process to ensure the reliability and stability of the system under different circumstances. Based on the results of exception handling and successful experience, continuously optimize system settings to improve overall performance and user experience.

[0100] Example 5

[0101] A method for customs declaration of order information for cross-border trade, please refer to Figure 2 , specifically: including the following steps:

[0102] Step 1: Collect order information from e-commerce platform logistics companies and payment systems, including transaction data, product information, product name, quantity, unit price, order amount, buyer information, and seller information, and obtain relevant data on order quality, efficiency, and compliance;

[0103] Step 2: Clean, verify and format the collected order data, including removing redundant and erroneous data, normalizing the pre-processed data, and calculating and obtaining the cross-border declaration index Kjsb;

[0104] Step 3: Verify the legitimacy and completeness of the order data, check whether the product code and tax number meet the customs declaration requirements, automatically fill in the missing information, and automatically match the tax number and product code;

[0105] Step 4: According to the customs declaration specifications, convert the pre-processed and verified order data into a data format that meets the declaration requirements;

[0106] Step 5: Submit the generated customs declaration data to the customs system through API or EDI interface, obtain feedback, monitor the declaration process, ensure the data is successfully uploaded and receive feedback information;

[0107] Step 6: Process the declaration status information fed back by the customs, including information on successful, failed or modified declarations, compare the cross-border declaration index Kjsb with the preset threshold M, obtain the abnormal assessment plan, handle the abnormal situation, and notify relevant personnel to intervene or automatically re-declare.

[0108] In this embodiment, the efficiency of data processing is improved and manual intervention is reduced through automated data cleaning, verification and completion steps. The accuracy and completeness of order data are ensured to reduce declaration errors caused by data problems. Through strict data verification and format conversion, the declaration data is ensured to meet customs requirements and improve the compliance of declarations. Reduce declaration failures caused by data not meeting requirements and improve the success rate of declarations. Obtain declaration feedback in real time through API or EDI interface, respond to declaration status quickly, and optimize the declaration process. Handle abnormal situations in the declaration process in a timely manner to improve the stability and reliability of the system. Optimize data processing procedures and system settings by analyzing the details and feedback of successful declarations. Collect and apply the experience of successful declarations, and continuously improve the declaration system and data processing procedures. When the declaration status is abnormal, automatically or manually intervene to improve the success rate of declarations. Based on feedback and successful experience, improve data processing and declaration processes to further improve the success rate and efficiency of declarations.

[0109] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An order information customs declaration system for cross-border trade, characterized by: It includes order data collection module, data preprocessing module, data verification and completion module, customs declaration data generation module, automatic declaration module and exception handling module; The order data collection module is used to collect order information through the e-commerce platform logistics company and the payment system, including transaction data, commodity information, commodity name, quantity, unit price, order amount, buyer information and seller information, and obtain relevant data on order quality, efficiency and compliance. The order data collection module includes an order data quality unit for obtaining a first data group, a customs declaration efficiency unit for obtaining a second data group, and a compliance data collection unit for obtaining a third data group; The data preprocessing module is used to clean, verify and format the collected order data, including removing redundant and erroneous data, normalizing the preprocessed data, and obtaining after calculation: the cross-border declaration index Kjsb, the data preprocessing module includes a data processing unit, the data processing unit is used to automatically process the formatting and conversion of data through a data formatting tool, format and normalize the first data group, the second data group and the third data group, and obtain after calculation: the cross-border declaration index Kjsb, the order data quality coefficient Ddzl, the customs declaration efficiency coefficient Sbxl and the compliance coefficient Hgxs; The cross-border declaration index Kjsb is calculated by the following formula: ； In the formula, Kjsb represents the cross-border declaration index, Ddzl represents the order data quality coefficient, Sbxl represents the customs declaration efficiency coefficient, and Hgxs represents the compliance coefficient; The order data quality coefficient Ddzl is calculated by the following formula: ； In the formula, Yxdd represents the number of valid orders, Zdds represents the total number of orders, Sjcw represents the data error rate, Sjcf represents the data duplication rate, and Sjqs represents the data missing rate; The data verification and completion module is used to verify the legality and integrity of the order data, check whether the commodity code and tax number meet the customs declaration requirements, automatically complete the missing information, and automatically match the tax number and commodity code; The customs declaration data generation module is used to convert the pre-processed and verified order data into a data format that meets the declaration requirements according to the customs declaration specifications; The automatic declaration module is used to submit the generated customs declaration data to the customs system through the API or EDI interface, obtain feedback, monitor the declaration process, successfully upload the data and receive feedback information; The exception handling module is used to process the declaration status information fed back by the customs, including information on successful, failed or modified declarations, obtain the exception assessment plan by comparing the cross-border declaration index Kjsb with the preset threshold M, and handle the abnormal situation, notifying relevant personnel to intervene or automatically re-declare.

2. According to claim 1, the order information customs declaration system for cross-border trade is characterized by: The order data quality unit is used to collect the total number of orders, the number of valid orders, the number and proportion of errors in the data, the proportion of duplicate data detected and recorded, and the proportion of missing items in the recorded data through the e-commerce platform interface and the order management system, and obtain: the number of valid orders Yxdd, the total number of orders Zdds, the data error rate Sjcw, the data duplication rate Sjcf, and the data missing rate Sjqs as the first data group; The customs declaration efficiency unit is used to collect and analyze the time and efficiency indicators of the declaration process, the time from submitting a declaration to receiving feedback, the response time of the customs system to the declaration, the proportion of successful declarations, the proportion of failed declarations and the number of times re-declaration is required through the declaration management system and the API interface monitoring tool, and obtain: declaration processing time Sbcl, system response time Xtxy, declaration pass rate Sbtg, declaration failure rate Sbsb and number of re-declarations Cxcs as the second data group; The compliance data collection unit is used to track and record the compliance of orders in the equipment library, detect and record abnormal situations in declarations, and obtain: the number of compliant orders Hgdd, the total number of declared orders Xsbs, the number of fines Fkcs, the number of declaration rejections Sbjj and the number of abnormal orders Ycdd as the third data group.

3. The order information customs declaration system for cross-border trade according to claim 2 is characterized by: The data preprocessing module includes a data cleaning unit; The data cleaning unit is used to detect and delete duplicate order data, identify and correct errors in the data, and fill in or remove missing order information.

4. The order information customs declaration system for cross-border trade according to claim 2 is characterized by: The customs declaration efficiency coefficient Sbxl is calculated by the following formula: ； In the formula, Sbcl represents the declaration processing time, Xtxy represents the system response time, Sbtg represents the declaration pass rate, Sbsb represents the declaration failure rate, and Cxcs represents the number of re-declarations.

5. The order information customs declaration system for cross-border trade according to claim 2 is characterized by: The compliance coefficient Hgxs is calculated by the following formula: ； In the formula, Hgdd represents the number of compliant orders, Xsbs represents the total number of declared orders, Fkcs represents the number of fines, Sbjj represents the number of declaration rejections, and Ycdd represents the number of abnormal orders.

6. The order information customs declaration system for cross-border trade according to claim 1 is characterized by: The data verification and completion module includes a data legitimacy verification unit and a data matching unit; The data legitimacy verification unit is used to provide standard commodity coding information, check whether the commodity coding is valid and meets the standards, and provide valid tax number information to verify the tax number; The data matching unit is used to automatically complete missing items in the order data based on known information from the product code database, tax number database and order management system through an intelligent completion algorithm tool, automatically match the correct tax number based on the product information, and automatically match the standard product code based on the product description.

7. The order information customs declaration system for cross-border trade according to claim 1 is characterized by: The customs declaration data generation module includes a data format conversion unit; The data format conversion unit is used to convert the pre-processed and verified order data into a data format that meets the customs declaration requirements. According to the customs declaration specifications, the order data is formatted and the various data items in the order are merged into a complete declaration file. After the declaration data is generated, a final verification is performed.

8. The order information customs declaration system for cross-border trade according to claim 1 is characterized by: The automatic declaration module includes an automatic declaration unit; The automatic declaration unit is used to automatically submit the generated declaration data to the customs system through the API or EDI interface, obtain feedback information from the customs system in real time, record the status of the feedback, including successful declaration, failed declaration and the reasons, monitor each step of the declaration process, and handle abnormal situations that occur during the declaration process, including data transmission failure and customs system response timeout. When the declaration fails, the error cause is automatically recorded and corrected according to the feedback information.

9. The order information customs declaration system for cross-border trade according to claim 1 is characterized by: The exception handling module includes an exception detection unit; The anomaly detection unit is used to compare the cross-border declaration index Kjsb with the preset threshold M to determine the abnormal state of the declaration, and apply the graded strategy scheme to evaluate the anomaly: When the cross-border declaration index Kjsb ≤ the preset threshold M, the first status level is obtained, the declaration status is classified as abnormal, the declaration data is automatically generated and resubmitted, and the declaration specialist is notified to check the declaration data and make manual corrections; When the cross-border declaration index Kjsb>M, obtain the second status level, classify the declaration status as normal, make final confirmation of the declaration data, analyze the declaration data and processing process, record the details and process of successful declaration, collect positive feedback, and improve the data processing process and system settings based on the experience of successful declaration.

10. A method for customs declaration of order information for cross-border trade, applied to a customs declaration system for order information for cross-border trade as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Collect order information from e-commerce platform logistics companies and payment systems, including transaction data, product information, product name, quantity, unit price, order amount, buyer information, and seller information, and obtain relevant data on order quality, efficiency, and compliance; Step 2: Clean, verify and format the collected order data, including removing redundant and erroneous data, normalizing the pre-processed data, and calculating and obtaining the cross-border declaration index Kjsb; Step 3: Verify the legitimacy and completeness of the order data, check whether the product code and tax number meet the customs declaration requirements, automatically fill in the missing information, and automatically match the tax number and product code; Step 4: According to the customs declaration specifications, convert the pre-processed and verified order data into a data format that meets the declaration requirements; Step 5: Submit the generated customs declaration data to the customs system through API or EDI interface, obtain feedback, monitor the declaration process, ensure the data is successfully uploaded and receive feedback information; Step 6: Process the declaration status information fed back by the customs, including information on successful, failed or modified declarations, compare the cross-border declaration index Kjsb with the preset threshold M, obtain the abnormal assessment plan, handle the abnormal situation, and notify relevant personnel to intervene or automatically re-declare.

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