Value-added fee processing method and device for cross-border order, electronic equipment and storage medium

Abstract

This application relates to the field of value-added fee processing technology for cross-border orders, disclosing a method, apparatus, electronic device, and storage medium for processing value-added fees in cross-border orders. The method includes: comprehensively acquiring regulatory information and its spatiotemporal labels from multiple target regions, mapping them to a preset mathematical space to form various constraints, automatically detecting and processing the regulatory information, and ensuring that, even with regulatory updates, the optimal processing solution can be generated promptly for a specified cross-border order by solving a cross-border transaction data processing function. The beneficial effects of this invention are: reducing compliance risks for enterprises in cross-border transactions, improving transaction efficiency, providing a real-time and efficient solution, and helping enterprises maintain competitiveness in a complex cross-border market environment.

Description

Technical Field

[0001] This invention relates to the field of value-added fee processing technology for cross-border orders, and more particularly to a method, apparatus, electronic device, and storage medium for processing value-added fees for cross-border orders. Background Technology

[0002] In the context of rapid globalization, cross-border trade has become an important component of national economies. However, the laws and regulations involved in cross-border transactions are increasingly complex. Policy differences between different countries and regions pose numerous challenges to the handling of value-added fees for cross-border orders. Each order must not only comply with the laws of the shipping and destination countries but also take into account other compliance requirements. To ensure compliance, companies must obtain and analyze regulatory information from various target regions in real time, often relying on manual collection, which is inefficient and prone to errors. Because regulatory information is constantly changing, companies struggle to keep it up-to-date when conducting cross-border transactions, leading to increased compliance risks. Furthermore, existing systems generally lack effective tools to handle the timeliness and applicability of laws and regulations. Summary of the Invention

[0003] Therefore, it is necessary to address the issue of value-added fee processing for existing cross-border orders by proposing a method, apparatus, electronic device, and storage medium for processing value-added fees for cross-border orders.

[0004] A method for handling value-added fees for cross-border orders, the method comprising:

[0005] Retrieve order data for a specified cross-border order, as well as the multiple target regions involved;

[0006] Obtain regulatory information for each of the target regions and the spatiotemporal labels of the regulatory information;

[0007] Each of the aforementioned regulatory information and the aforementioned spatiotemporal label is mapped to a preset mathematical space to form multiple constraints in the preset mathematical space, thereby obtaining a temporary mathematical space;

[0008] Obtain the cross-border transaction data processing function corresponding to the cross-border order;

[0009] The cross-border transaction data processing function and the order data are input into the temporary mathematical space to obtain the target mathematical space;

[0010] Solve the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the value-added fees of the specified cross-border order.

[0011] Further, the step of solving the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fees includes:

[0012] Obtain multiple target constraints related to the order data;

[0013] Detect whether there is a logical conflict between the target constraints;

[0014] If there is a logical conflict among the target constraints, the logically conflicting target constraints are processed based on a preset conflict decision model to obtain the preferred constraints.

[0015] Based on the preferred constraints, the cross-border transaction data processing function is solved in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fees.

[0016] Furthermore, after the step of solving the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fee, the method further includes:

[0017] Generate corresponding application information according to the processing scheme;

[0018] Obtain the declaration region corresponding to the specified cross-border order mentioned in the judgment;

[0019] Obtain the target language of the declared region;

[0020] The declaration text for the specified cross-border order is generated based on the declared information and the target language.

[0021] Furthermore, the step of generating the declaration text of the specified cross-border order based on the declaration information and the target language includes:

[0022] Obtain the appeal form template for the declared area;

[0023] Enter the declared information into the corresponding position in the appeal form template to obtain the declaration text of the designated cross-border order.

[0024] Furthermore, after the step of solving the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fee, the method further includes:

[0025] The processing scheme for the specified cross-border order value-added fees and the order data are input into a preset simulator to obtain prediction results;

[0026] Determine whether the prediction result reaches the expected result threshold;

[0027] If the predicted result reaches the expected result threshold, then processing will be carried out based on the specified cross-border order value-added fee processing scheme.

[0028] Furthermore, the step of obtaining regulatory information for each of the target regions and the spatiotemporal tags of the regulatory information includes:

[0029] Methods for obtaining regulatory information for each target region from a pre-defined database;

[0030] According to the legal information acquisition method for each target area, the corresponding legal information and the spatiotemporal tags of the legal information are obtained from the corresponding legal database.

[0031] Furthermore, after the step of mapping each of the aforementioned regulatory information and the spatiotemporal label to a preset mathematical space to form multiple constraints of the preset mathematical space, thereby obtaining a temporary mathematical space, the method further includes:

[0032] Monitor whether the aforementioned regulatory information has been updated;

[0033] If the target regulatory information has been updated, then obtain the updated regulatory information.

[0034] Compare the updated regulatory information with the target regulatory information;

[0035] Determine whether the comparison result has reached the preset comparison value;

[0036] If the preset comparison value is reached, the temporary mathematical space is updated based on the updated regulatory information.

[0037] A value-added fee processing device for cross-border orders, the device comprising:

[0038] The order data acquisition module is used to acquire order data for a specified cross-border order, as well as the multiple target regions involved.

[0039] The spatiotemporal tag acquisition module is used to acquire regulatory information for each of the target regions and the spatiotemporal tags of the regulatory information.

[0040] The temporary mathematical space acquisition module is used to map each of the aforementioned regulatory information and the spatiotemporal label to a preset mathematical space, thereby forming multiple constraints in the preset mathematical space and obtaining the temporary mathematical space.

[0041] The function acquisition module is used to acquire the cross-border transaction data processing function corresponding to the cross-border order.

[0042] The target mathematical space acquisition module is used to input the cross-border transaction data processing function and the order data into the temporary mathematical space to obtain the target mathematical space;

[0043] The processing scheme acquisition module is used to solve the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fee.

[0044] An electronic device includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the following steps:

[0045] Retrieve order data for a specified cross-border order, as well as the multiple target regions involved;

[0046] Obtain regulatory information for each of the target regions and the spatiotemporal labels of the regulatory information;

[0047] Each of the aforementioned regulatory information and the aforementioned spatiotemporal label is mapped to a preset mathematical space to form multiple constraints in the preset mathematical space, thereby obtaining a temporary mathematical space;

[0048] Obtain the cross-border transaction data processing function corresponding to the cross-border order;

[0049] The cross-border transaction data processing function and the order data are input into the temporary mathematical space to obtain the target mathematical space;

[0050] Solve the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the value-added fees of the specified cross-border order.

[0051] A computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the following steps:

[0052] Retrieve order data for a specified cross-border order, as well as the multiple target regions involved;

[0053] Obtain regulatory information for each of the target regions and the spatiotemporal labels of the regulatory information;

[0054] Each of the aforementioned regulatory information and the aforementioned spatiotemporal label is mapped to a preset mathematical space to form multiple constraints in the preset mathematical space, thereby obtaining a temporary mathematical space;

[0055] Obtain the cross-border transaction data processing function corresponding to the cross-border order;

[0056] The cross-border transaction data processing function and the order data are input into the temporary mathematical space to obtain the target mathematical space;

[0057] Solve the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the value-added fees of the specified cross-border order.

[0058] The beneficial effects of this invention are as follows: By comprehensively acquiring regulatory information and its spatiotemporal labels from multiple target regions and mapping them to a preset mathematical space to form various constraints, the invention automatically detects and processes regulatory information. This ensures that even when regulations are updated, the optimal processing solution can be generated promptly for a given cross-border order by solving the cross-border transaction data processing function. This reduces compliance risks for enterprises in cross-border transactions, improves transaction efficiency, and provides a real-time and efficient solution that helps enterprises maintain competitiveness in complex cross-border market environments. Attached Figure Description

[0059] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0060] in:

[0061] Figure 1 This is an application environment diagram of a method for handling value-added fees for cross-border orders in one embodiment;

[0062] Figure 2 This is a flowchart of a method for handling value-added fees for cross-border orders in one embodiment;

[0063] Figure 3 This is a structural block diagram of a value-added fee processing device for cross-border orders in one embodiment;

[0064] Figure 4 This is a structural block diagram of an electronic device in one embodiment. Detailed Implementation

[0065] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0066] Figure 1 This is a diagram illustrating the application environment for value-added fee processing of cross-border orders in one embodiment. (Refer to...) Figure 1This method for handling value-added fees for cross-border orders is applied to a value-added fee processing system for cross-border orders. The system includes a terminal 110 and a server 120. The terminal 110 and server 120 are connected via a network. The terminal 110 can be a desktop terminal or a mobile terminal; a mobile terminal can be at least one of a mobile phone, tablet, or laptop. The server 120 can be a standalone server or a server cluster consisting of multiple servers. The terminal 110 is used to acquire order data for a specified cross-border order, and the server 120 is used to generate a processing solution for the specified cross-border order.

[0067] like Figure 2 As shown, in one embodiment, a method for processing value-added fees for cross-border orders is provided. This method can be applied to both terminals and servers; this embodiment illustrates its application to terminals. The method for processing value-added fees for cross-border orders specifically includes the following steps:

[0068] S1: Obtain order data for a specified cross-border order, as well as the multiple target regions involved;

[0069] S2: Obtain the regulatory information of each target region and the spatiotemporal label of the regulatory information;

[0070] S3: Map each of the aforementioned regulatory information and the spatiotemporal label to a preset mathematical space to form multiple constraints in the preset mathematical space, thereby obtaining a temporary mathematical space;

[0071] S4: Obtain the cross-border transaction data processing function corresponding to the cross-border order;

[0072] S5: Input the cross-border transaction data processing function and the order data into the temporary mathematical space to obtain the target mathematical space;

[0073] S6: Solve the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fee.

[0074] Value-added fees (VAT) refer to the fees charged by various regions for cross-border orders. Since cross-border orders typically involve multiple regions, traditional systems need to obtain the regulations of each region in real time. Furthermore, some regional regulations conflict, and existing technologies cannot handle these conflicts. This method for handling VAT in cross-border orders is widely used in cross-border e-commerce platforms and global supply chain management. In cross-border transactions, companies need to comply with the laws and regulations of multiple target regions. This method allows companies to systematically obtain order data and relevant regional regulatory information, ensuring compliance. By mapping regulatory information and its spatiotemporal labels to a mathematical space, companies can clearly identify legal constraints and optimize processing solutions. For example, when processing specific cross-border orders, this method can provide compliant logistics, customs, and payment solutions, improving processing efficiency, reducing risks, and ensuring the smooth operation of cross-border transactions.

[0075] As described in step S1 above, the system obtains the order data for the specified cross-border order, as well as the multiple target regions involved. This includes basic information about the order, such as the order ID, product details, and order amount. Additionally, the system needs to identify the multiple target regions involved in the order, typically referring to the order's origin, transit points, and destination, which may involve multiple different countries or regions.

[0076] As described in step S2 above, regulatory information and its spatiotemporal tags are obtained for each target region. After determining the target regions, it is necessary to obtain regulatory information related to these regions. This regulatory information may include various aspects such as trade regulations, tax policies, import restrictions, and compliance requirements. To enable the system to efficiently process regulatory information from different regions, "spatiotemporal tags" are added, which identify the effective time and applicable geographical scope of these regulations. The introduction of spatiotemporal tags allows the system to clearly identify when regulations take effect, when they expire, and in which regions they apply. Spatiotemporal tags are time and space parameters describing the validity and applicability of regulatory information. They are used to ensure that the laws and regulations followed when executing cross-border transactions are applicable at the current time and place. Suppose that the import regulations of a certain region stipulate that specific goods are applicable between January 1, 2023 and December 31, 2023, and that these regulations only apply within region A. For this regulation, its spatiotemporal tags can be described as: Time tag: January 1, 2023 - December 31, 2023; Spatial tag: Region A. Specifically, Large Language Models (LLMs) can be used to obtain regulatory information for various target regions, along with spatiotemporal tags for that information. First, regulatory information in target regions typically involves specific legal provisions, rules, directives, and policies, which are crucial for compliance, risk management, and business decisions. However, regulatory information is often scattered across different legal texts, websites, or databases, and is frequently presented in complex legal language, making manual extraction and understanding challenging. LLMs can effectively extract relevant regulatory information from these complex texts. LLMs can understand and parse legal language, extracting structured legal content such as clauses, sections, and specific legal obligations, assisting in obtaining necessary information. Furthermore, LLMs can associate extracted legal provisions with specific target regions based on contextual information, ensuring that the extracted information aligns with the applicable legal environment. In addition, regulations are often closely related to specific times and places; some legal provisions may become outdated due to legislative changes or may only apply in specific regions. Spatiotemporal tags, by marking regulatory information, record the start and end times of legal effectiveness and the geographical scope of application, providing important references for dynamic legal management and compliance checks.

[0077] As described in step S3 above, each piece of regulatory information and the spatiotemporal label is mapped to a preset mathematical space, forming multiple constraints within the preset mathematical space, thus obtaining a temporary mathematical space. After acquiring the regulatory information and spatiotemporal labels, this information is mapped to a preset mathematical space. This mapping process involves transforming legal clauses and spatiotemporal constraints into mathematical expressions to facilitate subsequent data processing. Mapping methods can employ one-hot encoding, graph embedding, or rule engines, etc. By constructing multiple constraints, the system can simulate a "temporary mathematical space," which represents all relevant regulations constraining cross-border orders. Through this mathematical modeling, legal information is no longer an abstract concept but is transformed into concrete mathematical conditions. This approach facilitates the application of subsequent algorithms, improving the accuracy and efficiency of computation. A mathematical space is an abstract mathematical structure containing several variables and constraints. These variables and conditions collectively define all possible solutions within the space. In the process of handling value-added fees for cross-border orders, the mathematical space is used to model complex legal regulations, market conditions, transaction data, and other factors to aid in decision-making and optimization. Specifically, suppose that in a cross-border e-commerce order, the mathematical space can be defined as a three-dimensional space, where the three dimensions are "product price," "destination tax rate," and "transportation time." In this space, each point represents a specific processing solution. The user wants to find the optimal point that minimizes cost and time while complying with legal regulations. For example, the user can use linear programming to find the processing solution that achieves the optimal product price under the specified tax rate and transportation time. When constructing this mathematical space, it is first necessary to define multiple preset dimensions to form a multi-dimensional mathematical space. These preset dimensions are pre-defined dimensions, such as a three-dimensional space where the three dimensions are "product price," "destination tax rate," and "transportation time." Then, based on the dimensions, variables are determined, such as the final cost. Subsequently, the final target mathematical space is formed according to the constraints.

[0078] As described in step S4 above, the cross-border transaction data processing function corresponding to the cross-border order is obtained. After establishing a temporary mathematical space, the system needs to define a cross-border transaction data processing function. This function is individualized and aims to interpret the transaction characteristics and requirements of a specific order. This function typically includes many factors such as the order amount, transaction type, and nature of goods, comprehensively considering possible risks, costs, and other indicators. This function can provide the necessary basic data for subsequent mathematical operations. When solving the transaction data in the future, the specific form of this function will be relied upon to derive the final processing solution. A processing function is a mathematical expression or algorithm used to process specific data inputs and produce corresponding output results. In the context of cross-border transactions, processing functions are used to describe and calculate operations related to order processing, such as calculating tariffs and assessing compliance risks. Suppose a cross-border transaction processing function is "Calculate Final Cost," and its function form is: Final Cost = Commodity Price × (1 + Tax Rate) + Transportation Cost. In this example, given the commodity price, tax rate, and transportation cost, the processing function can calculate the final cost of the order. This type of function defines clear inputs and rules so that it can be called and calculated in different transaction scenarios.

[0079] As described in step S5 above, the cross-border transaction data processing function and the order data are input into the temporary mathematical space to obtain the target mathematical space. By combining legal constraints, order characteristics, and the spatiotemporal effect of regulations, a more complex target mathematical space is created, ensuring that the actual cross-border orders are combined with legal norms, forming a systematic framework that facilitates subsequent solution and analysis. Furthermore, the target mathematical space can be considered a multi-dimensional space encompassing all constraints and transaction parameters. The "temporary mathematical space" represents an intermediate state, while the "target mathematical space" is the space to be solved after the order data is injected.

[0080] As described in step S6 above, the cross-border transaction data processing function in the target mathematical space is solved to obtain a processing scheme for the value-added fees of the specified cross-border order. A series of mathematical and statistical methods are employed to find the optimal solution or the best processing scheme. The solution will provide a clear processing strategy for the specified cross-border order, such as how to complete the transaction efficiently and compliantly, how to reduce tax expenses, and how to develop a reasonable logistics plan. The purpose of this step is to ensure that cross-border transactions can be successfully implemented while complying with the regulations of each target region, and to provide the most favorable advice to relevant stakeholders.

[0081] In one embodiment, step S6, which involves solving the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fees, includes:

[0082] S601: Obtain multiple target constraints related to the order data;

[0083] S602: Detect whether there is a logical conflict between the target constraints;

[0084] S603: If there is a logical conflict among the target constraints, the logically conflicting target constraints are processed based on a preset conflict decision model to obtain the preferred constraints.

[0085] S604: Solve the cross-border transaction data processing function in the target mathematical space according to the preferred constraints to obtain the processing scheme for the specified cross-border order value-added fees.

[0086] As described in step S601 above, multiple target constraints related to the order data are obtained. These constraints include not only legal and regulatory requirements but also various factors such as business norms, transaction terms, logistical restrictions, and cost estimates. For example, cross-border transactions may be affected by different regional tax rates, quota restrictions, tariff policies, goods classification standards, and other compliance requirements. Systematically collecting this information lays the foundation for subsequent logical analysis and data processing. At this stage, the system must ensure that all relevant constraints are considered to avoid omitting key information that may affect the processing solution. The collection process may involve data retrieval, API calls, and integration with external legal databases to ensure the completeness and accuracy of the information.

[0087] As described in step S602 above, the system detects whether there are logical conflicts between the target constraints. This process aims to identify whether there are opposing or contradictory constraints, such as conflicting or contradictory clauses. If two constraints require mutually exclusive behaviors, for example, compliance is required in one situation but not in another, then a logical conflict exists. Through comprehensive analysis of the constraints, the system can assess the relationship between each condition, such as temporal sequence, applicable area, and constraint strength, thereby determining whether a conflict exists. This step is crucial to the entire processing scheme because logical conflicts directly affect the feasibility and compliance of the final result. Therefore, the system typically applies tools such as formal logic and Boolean logic, or establishes complex algorithmic models to effectively detect these potential conflicts.

[0088] As described in step S603 above, if there are logical conflicts among the target constraints, the conflicting target constraints are processed based on a preset conflict decision model to obtain the preferred constraint. This conflict decision model, which can be a priority-based rule, a scoring system, or another algorithm, aims to analyze which constraints have higher priority or are more important in the current situation. For example, certain key legal requirements may have to be complied with first, while constraints with relatively less impact can be relaxed or ignored. Through this method, the system can select a "preferred constraint" from the conflicting constraints, ensuring that the overall solution does not fail while meeting important compliance requirements. Effective implementation of this step ensures that the solution not only complies with key regulations but also allows for greater flexibility in practical operation.

[0089] As described in step S604 above, the cross-border transaction data processing function is solved in the target mathematical space according to the preferred constraints to obtain the processing scheme for the specified cross-border order value-added fees. Solving the cross-border transaction data processing function in the target mathematical space using the preferred constraints obtained in previous steps can be viewed as using mathematical models and optimization algorithms to analyze and calculate data. By introducing preferred constraints, the system can ensure that the solution not only conforms to the mathematically optimal solution but also meets legal compliance and business needs in real-world scenarios. The solution process may involve advanced mathematical techniques such as linear programming, nonlinear optimization, and dynamic programming to find the best processing scheme while ensuring the needs and constraints of multiple parties. Ultimately, through this series of solutions, the system can provide a clear execution plan, clearly guiding subsequent operations of cross-border transactions, such as the preparation of compliance documents, logistics management, and tax processing, thereby ensuring the smooth progress of cross-border transactions.

[0090] In one embodiment, after step S6 of solving the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fee, the method further includes:

[0091] S701: Generate corresponding application information according to the processing scheme;

[0092] S702: Obtain the declaration area corresponding to the specified cross-border order mentioned in the judgment;

[0093] S703: Obtain the target language of the declared region;

[0094] S704: Generate the declaration text for the specified cross-border order based on the declared information and the target language.

[0095] As described in step S701 above, corresponding declaration information is generated according to the processing scheme. This declaration information, generated based on the previously obtained processing scheme, is an essential document in cross-border transactions. It is typically used to provide detailed information to regulatory agencies to ensure the legality and compliance of the transaction. Declaration information usually includes product description, quantity, value, country of origin, mode of transport, related service fees, and customs duties. Compiling declaration information reasonably and accurately not only helps with smooth customs clearance but also reduces the probability of inspection and the risk of delays. By integrating the data and legal information collected in the preceding steps, different elements are incorporated into the declaration information. During this process, the system may also need to refer to industry standards, trade agreements, and relevant regulations to ensure the accuracy and compliance of all information, thereby reducing potential legal risks and financial losses.

[0096] As described in step S702 above, the declaration region corresponding to the designated cross-border order is obtained. The declaration region involved in the designated cross-border order is determined. The declaration region typically refers to the jurisdiction of the competent authority in the country or region where the goods arrive. In cross-border transactions, different countries and regions may have their specific regulations and declaration requirements. The legal and compliance requirements of the transaction destination are assessed through order data and target region information to find a suitable declaration legal framework for the order.

[0097] As described in step S703 above, the target language of the declaration region is obtained. In cross-border transactions, declaration information typically needs to be submitted in the official language of the declaration region to ensure that regulatory agencies can accurately understand the information provided. Therefore, the system needs to identify the target language of the region based on official language policies and specific industry standards. This includes accessing national or regional language datasets or harmonizing with existing trade terms and document standards to ensure that the generated declaration information is linguistically compliant. This work is crucial to ensuring that declaration documents are not delayed or rejected for customs clearance due to language barriers.

[0098] As described in step S704 above, a declaration text for the designated cross-border order is generated based on the declared information and the target language. Combining the declared information obtained in the previous step and its corresponding target language, the final declaration text is generated. This text is typically used to explain, request, or clarify matters related to the cross-border order. The text needs to accurately express the declared information in the target language to ensure clarity and comprehensibility. When drafting the declaration text, the system considers legal and industry standards to ensure that its format, content, and wording comply with relevant standards. This not only improves review efficiency but also reduces the risk of rejection or delays due to improper applications. Ultimately, this process provides crucial support for the smooth execution of orders, ensuring that all procedures comply with cross-border requirements and regional regulations.

[0099] In one embodiment, step S704, which generates the declaration text for the specified cross-border order based on the declaration information and the target language, includes:

[0100] S7041: Obtain the appeal template for the declared area;

[0101] S7042: Fill in the declaration information into the corresponding position of the appeal form template to obtain the declaration text of the designated cross-border order.

[0102] As described in step S7041 above, obtain the appeal template for the declared region. Obtain the appeal template corresponding to the declared region of the specified cross-border order. The appeal template is a standardized document format, typically defined by relevant laws, regulations, or industry standards. Obtaining the correct template is crucial for generating a declaration text that meets the format and content requirements. These templates may include various information paragraphs, such as applicant information, declaration content, explanation of reasons, a list of attachments, and signatures. When obtaining the template, the system may need to filter it according to the laws and regulations of the declared region to ensure that the template used complies with local legal requirements.

[0103] As described in step S7042 above, the declaration information is filled into the corresponding positions in the appeal form template to obtain the declaration text of the designated cross-border order. The declaration information obtained from the previous steps is filled into the corresponding positions in the newly obtained appeal form template to ensure that the declaration information correctly corresponds to each part of the appeal form template, effectively reflecting the completeness and logic of the declaration content. The system needs to ensure the accuracy and consistency of all information during the form filling process, including the product name, quantity, value, and reason for declaration, which must be reflected in the declaration text in detail and accurately. This process also requires the system to automatically identify and replace placeholders in the template to ensure smooth and accurate information transmission. After filling, the generated declaration text should fully display the corresponding declaration information and comply with the language and format requirements of the declaration region. This step not only considers the accuracy of the information but also pays attention to the standardization of grammar, spelling, and format to ensure that the generated text meets the requirements in terms of professionalism and clarity. Furthermore, it provides clear and detailed information for relevant departments to review, helping to improve processing efficiency and reduce potential transaction risks.

[0104] In one embodiment, after step S6 of solving the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fee, the method further includes:

[0105] S711: Input the processing scheme for the specified cross-border order value-added fees and the order data into a preset simulator to obtain the prediction results;

[0106] S712: Determine whether the prediction result reaches the expected result threshold;

[0107] S713: If the prediction result reaches the expected result threshold, then the processing shall be carried out based on the specified cross-border order value-added fee processing scheme.

[0108] As described in step S711 above, the processing plan for the specified cross-border order value-added fees and the order data are input into a preset simulator to obtain prediction results. This simulator is a computational model typically used to predict the potential outcomes of cross-border transactions, helping to identify potential risks and opportunities. The completeness and accuracy of the input data are crucial at this stage, involving detailed order information (such as order amount, product category, destination, etc.) and the specific operations or decisions involved in the processing plan. The simulator's functions typically include simulating transaction outcomes under different market environments, evaluating costs and benefits, and calculating potential compliance risks. Through processing this data, the simulator can provide prediction results for multiple variables such as transaction success rate, arrival time, and operating costs. This process helps companies make sufficient predictions and preparations before implementing cross-border transactions, so as to appropriately adjust their strategies and plans and increase the likelihood of transaction success.

[0109] As described in step S712 above, it is determined whether the predicted results meet the expected result threshold. The predicted results generated by the simulator are evaluated to determine whether they meet the expected result threshold. The expected result threshold can be a series of pre-set standards or goals, such as rate of return, cost control, delivery timeliness, compliance risk, etc. This judgment process is usually based on the company's internal risk management framework and may also involve industry standards to ensure that the predicted results meet the overall business objectives. If the predicted results fail to meet these standards, it may mean that there are potential problems with the solution in actual operation, such as excessive costs, compliance risks, or time uncertainties, thus requiring further adjustments and optimizations. In this step, the system may apply advanced data analysis tools to quantify the results and form decision support. This ensures that the enterprise can identify any undesirable transaction situations in a timely manner and formulate necessary countermeasures for the success and compliance of cross-border transactions.

[0110] As described in step S713 above, if the predicted result reaches the expected result threshold, processing is carried out based on the specified cross-border order value-added fee processing scheme. Actual transaction processing is performed according to the judgment result obtained in the previous step. If the predicted result confirms that it reaches or exceeds the expected result threshold, it indicates that the processing scheme demonstrates high feasibility and security in the simulation. At this point, the system will proceed with subsequent operations based on the scheme. This may involve initializing order fulfillment, including shipping, delivery, generation of pre-processed documents, and execution of declarations. If the scheme does not meet expectations, it may be necessary to modify or optimize the order processing method, such as adjusting supply chain strategies, reassessing cost structures, or negotiating with relevant stakeholders. The importance of this process lies in the fact that by confirming and applying effective processing schemes, the success rate of cross-border transactions can be greatly improved, and potential legal and compliance risks can be reduced. Furthermore, smooth transaction processing not only improves the operational efficiency of enterprises but also enhances customer experience, thereby gaining a competitive advantage. Failure to meet expectations will prompt enterprises to conduct more detailed market analysis and make flexible adjustments to adapt to the ever-changing trade environment.

[0111] In one embodiment, step S2, which involves obtaining regulatory information for each of the target regions and spatiotemporal tags for the regulatory information, includes:

[0112] S201: Method for obtaining regulatory information for each target region from a pre-defined acquisition method database;

[0113] S202: According to the legal information acquisition method for each target area, obtain the corresponding legal information and the spatiotemporal tag of the legal information from the corresponding legal database.

[0114] As described in step S201 above, the system retrieves regulatory information acquisition methods for each target region from a pre-defined acquisition method database. In step S201, the system first needs to retrieve these methods from the database. This process is fundamental to acquiring regulatory information, as different countries and regions may have different access methods and approaches. These methods may include API interfaces, data scraping technologies, third-party database access, and official websites. Furthermore, the pre-defined acquisition method database should contain descriptions of specific regulations for each target region and their acquisition requirements. For example, some regions may require real-time access, while others may only require periodically updated data. The acquisition methods must not only be effective but also comply with relevant laws and technical agreements. Therefore, the system needs to ensure that the selected acquisition methods guarantee both the timeliness and accuracy of the information while remaining legal and compliant to mitigate potential risks in information acquisition. Successful execution of this step lays a solid foundation for subsequent acquisition of regulatory information, ensuring that the system can quickly acquire the required information within a legal and compliant framework.

[0115] As described in step S202 above, the corresponding regulatory information and its spatiotemporal tags are obtained from the corresponding regulatory database according to the regulatory information acquisition method for each target region. Following the determined regulatory information acquisition method for each target region, specific regulatory information and its corresponding spatiotemporal tags are obtained from the corresponding regulatory database. The information involved includes legal texts, policy guidance documents, industry standards, etc. The spatiotemporal tags typically refer to the time and place of application of these regulations, that is, when the regulations take effect and when they expire, and indicate their geographical scope of application. For cross-border transactions, spatiotemporal tags are crucial for ensuring compliance because the laws and regulations of different regions may change at any time, and cross-border transactions must comply with these dynamic compliance requirements.

[0116] In one embodiment, after step S3, which maps each of the regulatory information and the spatiotemporal label to a preset mathematical space to form multiple constraints of the preset mathematical space, thereby obtaining a temporary mathematical space, the method further includes:

[0117] S401: Monitor whether the aforementioned regulatory information has been updated;

[0118] S402: If the target regulatory information has been updated, then obtain the updated regulatory information;

[0119] S403: Compare the updated regulatory information with the target regulatory information;

[0120] S404: Determine whether the comparison result has reached the preset comparison value;

[0121] S405: If the preset comparison value is reached, the temporary mathematical space is updated based on the updated regulatory information.

[0122] As described in step S401 above, the system monitors whether the various regulatory information items have been updated. Specifically, this can be achieved by using a scheduled task to call the regulatory API to detect updates, continuously monitoring previously acquired regulatory information to determine if any updates have been made. The purpose of this step is to ensure that all regulatory information remains up-to-date throughout the entire transaction processing cycle, as the cross-border trade environment and the laws and regulations of various countries frequently change, potentially affecting the compliance and feasibility of cross-border transactions. Monitoring methods may include regularly checking relevant legal databases, tracking announcements and policy changes, or using automated tools to periodically access regulatory information retrieval websites. Furthermore, the system can implement an automatic notification mechanism associated with regulatory updates, ensuring a timely response once an update to regulatory records occurs. This monitoring not only contributes to legal compliance but also reduces potential legal issues in future transactions by promptly identifying and addressing potential compliance risks.

[0123] As described in step S402 above, if target regulatory information has been updated, the updated regulatory information is obtained. It is necessary to obtain regulatory information that has already been detected as updated. At this point, once the monitoring mechanism detects that a certain regulatory information has been updated, the system will automatically connect to the corresponding regulatory database or regulatory information source to download the latest regulatory information. This process can be completed by calling APIs, fetching the latest legal texts, or accessing designated official websites. Obtaining updated regulatory information must ensure the accuracy and completeness of the information, and it is necessary to identify the differences between the new legal provisions and the previous information. This stage relies not only on technical means but also on relevant legal knowledge to ensure the accuracy of data processing. Therefore, the obtained updated regulatory information is the basis for subsequent comparison and analysis, ensuring that in a dynamic legal environment, enterprises can obtain relevant data that complies with the latest laws and regulations in a timely manner, reducing compliance risks.

[0124] As described in step S403 above, the updated regulatory information is compared with the target regulatory information. Differences and changes between the updated content are identified, including the addition, modification, or deletion of legal provisions. The comparison operation involves text comparison algorithms or data difference detection technology to ensure that all key changes are identified. Through this comparison, the system can clearly identify the parts of the original regulatory information that need to be corrected, and whether these corrections will affect previous decisions or transaction processing plans. This step also provides basic data for subsequent judgments and decisions, avoiding compliance issues caused by regulatory updates, thereby reducing potential legal risks. Through effective comparison, enterprises can maintain regulatory compliance and make timely adjustments in practice to cope with legal changes.

[0125] As described in step S404 above, it is determined whether the comparison result has reached the preset comparison value. This comparison value can be defined as a specific difference standard, which may include changes in the number of regulatory provisions, substantial changes in information content, or assessments of compliance risks. If the difference exceeds the preset standard, it means that the update may have a substantial impact on the processing plan for cross-border transactions, and corresponding legal review and processing are necessary.

[0126] As described in step S405 above, if a preset comparison value is reached, the temporary mathematical space is updated based on the updated regulatory information. A decision is made, based on the previous judgment, whether to update the temporary mathematical space. If the comparison result indicates that the difference between the updated regulatory information and the target regulatory information reaches a preset comparison value, the constraints in the temporary mathematical space are adjusted accordingly based on the latest regulatory information. Through this mechanism, enterprises can maintain flexibility and adaptability in a dynamic environment of regulatory changes, ensuring compliance and maximizing the success rate of transactions.

[0127] Reference Figure 3 The present invention also provides a value-added fee processing device for cross-border orders, the device comprising:

[0128] The order data acquisition module 902 is used to acquire order data for a specified cross-border order, as well as the multiple target regions involved.

[0129] The spatiotemporal tag acquisition module 904 is used to acquire the regulatory information of each of the target regions and the spatiotemporal tags of the regulatory information.

[0130] The temporary mathematical space acquisition module 906 is used to map each of the aforementioned regulatory information and the spatiotemporal label to a preset mathematical space, thereby forming multiple constraints in the preset mathematical space and obtaining a temporary mathematical space.

[0131] The function acquisition module 908 is used to acquire the cross-border transaction data processing function corresponding to the cross-border order;

[0132] The target mathematical space acquisition module 910 is used to input the cross-border transaction data processing function and the order data into the temporary mathematical space to obtain the target mathematical space;

[0133] The processing scheme acquisition module 912 is used to solve the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fee.

[0134] In one embodiment, the processing scheme acquisition module 912 includes:

[0135] The target constraint acquisition submodule is used to acquire multiple target constraints related to the order data;

[0136] The detection submodule is used to detect whether there are logical conflicts between the target constraints;

[0137] The preferred constraint acquisition submodule is used to process the logically conflicting target constraints based on a preset conflict decision model to obtain preferred constraints if there are logical conflicts among the target constraints.

[0138] The processing scheme acquisition submodule is used to solve the cross-border transaction data processing function in the target mathematical space according to the preferred constraints, so as to obtain the processing scheme for the specified cross-border order value-added fee.

[0139] In one embodiment, the value-added fee processing device for cross-border orders further includes:

[0140] The application information generation module is used to generate corresponding application information according to the processing scheme;

[0141] The declaration area acquisition module is used to acquire the declaration area corresponding to the specified cross-border order mentioned in the judgment;

[0142] The target language acquisition module is used to acquire the target language of the declared region;

[0143] The declaration text generation module is used to generate the declaration text for the specified cross-border order based on the declaration information and the target language.

[0144] In one embodiment, the declared text generation module includes:

[0145] The appeal form template retrieval submodule is used to retrieve the appeal form template for the declared area;

[0146] The declaration text acquisition submodule is used to fill the declaration information into the corresponding position of the appeal form template to obtain the declaration text of the specified cross-border order.

[0147] In one embodiment, the value-added fee processing device for cross-border orders further includes:

[0148] The prediction result acquisition module inputs the processing scheme for the specified cross-border order value-added fees and the order data into a preset simulator to obtain the prediction result;

[0149] The prediction result judgment module is used to determine whether the prediction result reaches the expected result threshold;

[0150] The processing module is used to process the data based on the specified cross-border order value-added fee processing scheme if the prediction result reaches the expected result threshold.

[0151] In one embodiment, the spatiotemporal tag acquisition module 904 includes:

[0152] The submodule for obtaining regulatory information acquisition methods is used to obtain the regulatory information acquisition methods for each target area from the database of preset acquisition methods.

[0153] The spatiotemporal tag acquisition submodule is used to obtain the corresponding legal information and the spatiotemporal tags of the legal information from the corresponding legal database according to the legal information acquisition method of each target area.

[0154] In one embodiment, the value-added fee processing device for cross-border orders further includes:

[0155] The monitoring module is used to monitor whether the aforementioned regulatory information has been updated;

[0156] The updated regulatory information acquisition module is used to acquire the updated regulatory information if the target regulatory information has been updated.

[0157] The comparison module is used to compare the updated regulatory information with the target regulatory information;

[0158] The comparison result judgment module is used to determine whether the comparison result has reached the preset comparison value;

[0159] The temporary mathematical space update module is used to update the temporary mathematical space based on the updated regulatory information if a preset comparison value is reached.

[0160] Figure 4 An internal structural diagram of an electronic device in one embodiment is shown. This electronic device can specifically be a terminal or a server, and more specifically, a computer device. Figure 4 As shown, the electronic device includes a processor, a memory, and a network interface connected via a system bus. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and may also store a computer program. When executed by the processor, this computer program enables the processor to implement a method for processing value-added fees for cross-border orders. The internal memory may also store a computer program, which, when executed by the processor, enables the processor to implement a method for processing value-added fees for cross-border orders. Those skilled in the art will understand that... Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the electronic device to which the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0161] In one embodiment, an electronic device is provided, including a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the following steps:

[0162] Retrieve order data for a specified cross-border order, as well as the multiple target regions involved;

[0163] Obtain regulatory information for each of the target regions and the spatiotemporal labels of the regulatory information;

[0164] Each of the aforementioned regulatory information and the aforementioned spatiotemporal label is mapped to a preset mathematical space to form multiple constraints in the preset mathematical space, thereby obtaining a temporary mathematical space;

[0165] Obtain the cross-border transaction data processing function corresponding to the cross-border order;

[0166] The cross-border transaction data processing function and the order data are input into the temporary mathematical space to obtain the target mathematical space;

[0167] Solve the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the value-added fees of the specified cross-border order.

[0168] By comprehensively acquiring regulatory information and its spatiotemporal labels from multiple target regions and mapping them to a pre-defined mathematical space to form various constraints, the system automatically detects and processes regulatory information. This ensures that even with updated regulations, the system can promptly generate optimized processing solutions for specific cross-border orders by solving a cross-border transaction data processing function. This reduces compliance risks for enterprises in cross-border transactions, improves transaction efficiency, and provides a real-time, efficient solution that helps enterprises maintain competitiveness in complex cross-border market environments.

[0169] In one embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, causes the processor to perform the following steps:

[0170] Retrieve order data for a specified cross-border order, as well as the multiple target regions involved;

[0171] Obtain regulatory information for each of the target regions and the spatiotemporal labels of the regulatory information;

[0172] Each of the aforementioned regulatory information and the aforementioned spatiotemporal label is mapped to a preset mathematical space to form multiple constraints in the preset mathematical space, thereby obtaining a temporary mathematical space;

[0173] Obtain the cross-border transaction data processing function corresponding to the cross-border order;

[0174] The cross-border transaction data processing function and the order data are input into the temporary mathematical space to obtain the target mathematical space;

[0175] Solve the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the value-added fees of the specified cross-border order.

[0176] By comprehensively acquiring regulatory information and its spatiotemporal labels from multiple target regions and mapping them to a pre-defined mathematical space to form various constraints, the system automatically detects and processes regulatory information. This ensures that even with updated regulations, the system can promptly generate optimized processing solutions for specific cross-border orders by solving a cross-border transaction data processing function. This reduces compliance risks for enterprises in cross-border transactions, improves transaction efficiency, and provides a real-time, efficient solution that helps enterprises maintain competitiveness in complex cross-border market environments.

[0177] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0178] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0179] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for handling value-added fees for cross-border orders, characterized in that, The method includes: Obtain order data for a specified cross-border order, as well as the multiple target regions involved; Obtain regulatory information for each of the target regions and the spatiotemporal labels of the regulatory information; Each of the aforementioned regulatory information and the aforementioned spatiotemporal label is mapped to a preset mathematical space to form multiple constraints in the preset mathematical space, thereby obtaining a temporary mathematical space; Obtain the cross-border transaction data processing function corresponding to the cross-border order; The cross-border transaction data processing function and the order data are input into the temporary mathematical space to obtain the target mathematical space; Solve the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the value-added fees of the specified cross-border order; The step of solving the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fees includes: Obtain multiple target constraints related to the order data; wherein, the multiple target constraints include tax rates, quota limits, tariff policies, and goods classification standards; Detect whether there is a logical conflict between the target constraints; If there is a logical conflict among the target constraints, the logically conflicting target constraints are processed based on a preset conflict decision model to obtain the preferred constraints. Based on the preferred constraints, the cross-border transaction data processing function is solved in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fees.

2. The method for handling value-added fees for cross-border orders according to claim 1, characterized in that, After the step of solving the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fees, the method further includes: Generate corresponding application information according to the processing scheme; Obtain the declaration region corresponding to the specified cross-border order mentioned in the judgment; Obtain the target language of the declared region; The declaration text for the specified cross-border order is generated based on the declared information and the target language.

3. The method for handling value-added fees for cross-border orders according to claim 2, characterized in that, The step of generating the declaration text for the specified cross-border order based on the declaration information and the target language includes: Obtain the appeal form template for the declared area; Enter the declared information into the corresponding position in the appeal form template to obtain the declaration text of the designated cross-border order.

4. The method for handling value-added fees for cross-border orders according to claim 1, characterized in that, After the step of solving the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fees, the method further includes: The processing scheme for the specified cross-border order value-added fees and the order data are input into a preset simulator to obtain prediction results; Determine whether the prediction result reaches the expected result threshold; If the predicted result reaches the expected result threshold, then processing will be carried out based on the specified cross-border order value-added fee processing scheme.

5. The method for handling value-added fees for cross-border orders according to claim 1, characterized in that, The step of obtaining regulatory information for each of the target regions and the spatiotemporal tags of the regulatory information includes: Methods for obtaining regulatory information for each target region from a pre-defined database; According to the legal information acquisition method for each target area, the corresponding legal information and the spatiotemporal tags of the legal information are obtained from the corresponding legal database.

6. The method for handling value-added fees for cross-border orders according to claim 1, characterized in that, After the step of mapping each of the aforementioned regulatory information and the spatiotemporal label to a preset mathematical space to form multiple constraints in the preset mathematical space, thereby obtaining a temporary mathematical space, the method further includes: Monitor whether the aforementioned regulatory information has been updated; If the target regulatory information has been updated, then obtain the updated regulatory information. Compare the updated regulatory information with the target regulatory information; Determine whether the comparison result has reached the preset comparison value; If the preset comparison value is reached, the temporary mathematical space is updated based on the updated regulatory information.

7. A value-added fee processing device for cross-border orders, characterized in that, The device includes: The order data acquisition module is used to acquire order data for a specified cross-border order, as well as the multiple target regions involved. The spatiotemporal tag acquisition module is used to acquire regulatory information for each of the target regions and the spatiotemporal tags of the regulatory information. The temporary mathematical space acquisition module is used to map each of the aforementioned regulatory information and the spatiotemporal label to a preset mathematical space, thereby forming multiple constraints in the preset mathematical space and obtaining the temporary mathematical space. The function acquisition module is used to acquire the cross-border transaction data processing function corresponding to the cross-border order. The target mathematical space acquisition module is used to input the cross-border transaction data processing function and the order data into the temporary mathematical space to obtain the target mathematical space; The processing scheme acquisition module is used to solve the cross-border transaction data processing function in the target mathematical space to obtain the processing scheme for the specified cross-border order value-added fee. The processing scheme acquisition module includes: The target constraint acquisition submodule is used to acquire multiple target constraints related to the order data; wherein, the multiple target constraints include tax rates, quota restrictions, tariff policies, and goods classification standards; The detection submodule is used to detect whether there are logical conflicts between the target constraints; The preferred constraint acquisition submodule is used to process the logically conflicting target constraints based on a preset conflict decision model to obtain preferred constraints if there are logical conflicts among the target constraints. The processing scheme acquisition submodule is used to solve the cross-border transaction data processing function in the target mathematical space according to the preferred constraints, so as to obtain the processing scheme for the specified cross-border order value-added fee.

8. A computer-readable storage medium, characterized in that, The device stores a computer program that, when executed by a processor, causes the processor to perform the steps of the value-added fee processing method for cross-border orders as described in any one of claims 1 to 6.

9. An electronic device, characterized in that, The device includes a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the value-added fee processing method for cross-border orders as described in any one of claims 1 to 6.

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