Trade data processing method based on transaction structure coding and calculation of zone mapping

Abstract

The application discloses a kind of based on transaction structure coding and computing area mapping trade data processing method, it is related to trade data processing technical field, method includes: according to the internal logic rule of preestablished, the basic parameter set of transaction is converted into the unique transaction structure coding;Determine the target cost calculation area corresponding to the input price clause;Based on transaction structure coding, determine the target jurisdiction corresponding to transaction, and obtain the target jurisdiction corresponding target judicial modification factor;Generate preliminary cost result;The compliance interpretation and adjustment of preliminary cost result are carried out using target judicial modification factor, output final cost calculation result and the compliance state and system action instruction corresponding to final cost calculation result.The application can greatly reduce the data flow and the number of times of judgment inside system, realizes the decoupling of calculation logic and business terminology, eliminates the calculation ambiguity caused by artificial configuration error and multi-module inconsistency.

Description

Technical Field

[0001] The present invention relates to the technical field of trade data processing, and particularly relates to a trade data processing method based on transaction structure coding and calculation area mapping. Background Art

[0002] In enterprise resource planning and supply chain management systems, when processing trade transactions including cross-border, domestic, and mixed forms, the prior art has the following technical problems: Traditional systems rely on multiple modules to cooperate in judging transaction types, resulting in scattered calculation logics and numerous data flow branches. Not only is the system performance low, but also maintenance is difficult. Price terms are directly bound to specific calculation codes. Adding a new term or adjusting an existing term requires modifying multiple calculation logics, with low code reuse rate and poor system scalability. Tax and customs rules in different jurisdictions usually exist in the form of hard coding or large static rule tables, with high update and maintenance costs, inability to dynamically respond to policy changes, and easy generation of compliance risks. Domestic and foreign trade transactions require configuring different system entrances and processes, imposing heavy user operation burdens, and the system is difficult to provide consistent processing and interpretation for heterogeneous trade models.

[0003] To solve the above problems, prior art solutions mainly rely on enhancing the interfaces and linkage logics between sales, procurement, logistics, and financial modules within the enterprise resource planning system, and presetting judgment branches and dedicated calculation processes for different trade scenarios. For compliance requirements, conditional judgment statements are generally embedded in the code, or large static configuration tables covering rules in different jurisdictions are maintained and queried and matched during transaction processing.

[0004] However, the above prior art solutions have significant drawbacks. First, the cooperation of multiple modules and hard coding logics result in a high degree of coupling between the system's core calculation engine and volatile business rules and judicial rules. Any update of business terms or adjustment of judicial policies may trigger extensive code modifications and tests, with poor system maintainability and scalability. Second, scattered judgment logics and redundant data transfer paths increase the system complexity and reduce data processing efficiency. Finally, the static rule embedding method is difficult to quickly adapt to the dynamically changing regulatory environment, and lacks a unified and deterministic transaction modeling and identification mechanism, unable to fundamentally ensure the consistency and accuracy of the processing path.

[0005] Therefore, how to design a new trade data processing method to overcome the above disadvantages of high coupling, poor scalability, low efficiency, and insufficient adaptability has become an urgent technical problem in this field. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to address the deficiencies of the prior art, and specifically provides the following technical solutions: 1) In a first aspect, the present invention provides a trade data processing method based on the mapping of transaction structure encoding and computation area, the specific technical solution of which is as follows: The set of basic parameters for receiving transactions; According to the preset internal logic rules, the set of basic parameters of the transaction is converted into a unique transaction structure code; Determine the target cost calculation area corresponding to the input price terms; Based on the transaction structure code, the target jurisdiction corresponding to the transaction is determined, and the target jurisdiction modification factor corresponding to the target jurisdiction is obtained; Execute the predefined standard calculation process in the target cost calculation area to generate preliminary cost results; The system uses target legal modification factors to interpret and adjust the preliminary cost results for compliance, and outputs the final cost calculation results and the corresponding compliance status and system action instructions.

[0007] The beneficial effects of the trade data processing method based on transaction structure encoding and computation area mapping provided by this invention are as follows: By generating unique transaction structure codes based on preset internal logic rules, complex multi-branch judgments are simplified to a single code query and mapping, significantly reducing internal data flow and judgment times, and lowering the load on the central processing unit and memory. Maintainability and scalability are enhanced. By mapping price terms to predefined target cost calculation areas, the calculation logic and business terms are decoupled, so that adding new price terms does not require adding new calculation logic, but only configuring the mapping relationship. At the same time, by dynamically obtaining pluggable target judicial modification factors based on transaction structure codes, independent management of judicial rules is achieved. Policy updates do not require modification of the core code, but only updating the target judicial modification factor library. Processing determinism and accuracy are improved. The black-box generated transaction structure codes ensure that the same transaction structure will inevitably trigger the same processing path from the target cost calculation area to the target judicial modification factor, eliminating calculation ambiguities caused by manual configuration errors and inconsistencies between multiple modules. The technical architecture is simplified. Complex trade business problems are transformed into three clear technical problems: transaction structure code generation, calculation area mapping execution, and judicial modification factor interpretation and adjustment, reducing overall complexity and providing good resistance to reverse engineering due to the encapsulation of the code generation rules.

[0008] Based on the above scheme, the trade data processing method of the present invention based on transaction structure encoding and computation area mapping can be further improved as follows.

[0009] Furthermore, based on preset internal logic rules, the set of basic transaction parameters is converted into a unique transaction structure code, including: By utilizing internal logic rules that are encapsulated as a black box and are not configurable, the combination relationships of various parameters in the basic parameter set of a transaction are processed to generate a unique code as the transaction structure code.

[0010] The beneficial effects of adopting the above-mentioned further solution are as follows: By utilizing the combination relationships of various parameters in the basic parameter set of a transaction, which are encapsulated as a black box and are not configurable, a unique transaction structure code is generated. This method ensures that the same transaction structure will inevitably obtain the same code, eliminating ambiguity in processing paths caused by differences in manual configuration or inconsistencies in logic between modules. The code generation rules are invisible and unmodifiable externally, enhancing the security of the logic and its resistance to reverse engineering, effectively preventing core business rules from being parsed or copied externally.

[0011] Furthermore, determine the target cost calculation area corresponding to the input price terms, including: The query includes a price clause-calculation area mapping table that shows the many-to-one mapping relationship between external price clauses and predefined cost calculation areas; the target cost calculation area corresponding to the input price clause is determined through the price clause-calculation area mapping table. Each cost calculation area has its own predefined standardized cost calculation steps and formulas.

[0012] The advantages of adopting the above-mentioned further approach are: by querying the price clause-calculation area mapping table that supports a many-to-one mapping relationship, the target cost calculation area corresponding to the input price clause is determined. Each cost calculation area independently predefines standardized cost calculation steps and formulas. This design decouples the price clause from the specific calculation logic. When adding or adjusting price clauses, only the mapping table configuration needs to be updated without modifying the internal logic of the calculation area, greatly improving code reusability, maintainability, and scalability.

[0013] Furthermore, based on the transaction structure code, the target jurisdiction corresponding to the transaction is determined, and the target jurisdiction modification factors corresponding to the target jurisdiction are obtained, including: The identifier of the target jurisdiction corresponding to the transaction is parsed from the transaction structure code; Based on the identifier of the target jurisdiction, the target jurisdiction modification factors can be dynamically invoked or generated.

[0014] The beneficial effects of adopting the above-mentioned further solution are: based on the transaction structure code, the identifier of the target jurisdiction corresponding to the transaction is parsed, and the target jurisdiction modification factor is dynamically invoked or generated accordingly. This code-based jurisdiction identification mechanism achieves accuracy and consistency in compliance rule processing. The dynamic invocation mechanism makes the jurisdiction modification factor a pluggable independent component. When policies and rules are updated, only the modification factor library needs to be maintained or replaced, without touching the core computing engine, which significantly improves the adaptability to regulatory changes.

[0015] Furthermore, the predefined standard calculation process in the target cost calculation area is executed to generate preliminary cost results, including: The system executes a series of sequential and logically consistent cost calculation steps and formulas predefined by the target cost calculation area to generate preliminary cost results corresponding to the input price terms.

[0016] The beneficial effects of adopting the above-mentioned further approach are: by executing a series of sequential and logically consistent cost calculation steps and formulas predefined by the target cost calculation area, preliminary cost results corresponding to the input price terms are generated. The standardized calculation process ensures the determinism and repeatability of the cost calculation process. Abstracting the complex price term calculation into ordered steps eliminates the scattered conditional branch judgments in traditional systems, simplifies the calculation logic, and improves processing efficiency and result accuracy.

[0017] Furthermore, the preliminary cost results are interpreted and adjusted for compliance using target judicial modification factors, outputting the final cost calculation results and the corresponding compliance status and system action instructions, including: The legality and tax attributes of preliminary cost results are determined by using target judicial modification factors; Based on the results of the legality assessment and the tax attribute marking, the final cost calculation result and the corresponding compliance status description are generated. Based on the generated compliance status description, the system will trigger corresponding financial or customs declaration actions.

[0018] The beneficial effects of adopting the above-mentioned further approach are: utilizing target legal modification factors to assess the legality and tax attributes of preliminary cost results, thereby generating final cost calculation results, compliance status descriptions, and triggering corresponding financial or customs declaration instructions. This process automatically connects compliance interpretation with business action execution. Based on rule-based judgments, structured instructions are automatically output, reducing manual intervention, ensuring the timeliness and accuracy of compliance operations, and automating the closed-loop trade processing.

[0019] Furthermore, the basic parameters for the transaction include the seller's location, the buyer's location, the place of origin of the goods, the place of final delivery of the goods, and the party responsible for customs clearance.

[0020] The beneficial effects of adopting the above-mentioned further approach are: It clearly defines the basic parameter set of a transaction, including five key dimensions: the seller's location, the buyer's location, the place of origin of the goods, the final place of delivery of the goods, and the party responsible for customs clearance. This standardized parameter set provides a unified and complete input foundation for transaction modeling. A unified input model can handle heterogeneous trade patterns, such as domestic and foreign trade, in a consistent manner, reducing the complexity of user operations and providing a stable and reliable data source for subsequently generating unique transaction structure codes.

[0021] 2) Secondly, the present invention also provides a trade data processing system based on transaction structure encoding and computation area mapping, the specific technical solution of which is as follows: It includes a data receiving module, a conversion module, a first determining module, a second determining module, a generation module, and an output module; The data receiving module is used to: receive the set of basic parameters for a transaction; The conversion module is used to convert the set of basic transaction parameters into a unique transaction structure code according to preset internal logic rules; The first determining module is used to: determine the target cost calculation area corresponding to the input price terms; The second determining module is used to: determine the target jurisdiction corresponding to the transaction based on the transaction structure code, and obtain the target judicial modification factor corresponding to the target jurisdiction; The generation module is used to: execute the predefined standard calculation process in the target cost calculation area and generate preliminary cost results; The output module is used to: interpret and adjust the preliminary cost results for compliance using the target legal modification factors, and output the final cost calculation results and the corresponding compliance status and system action instructions.

[0022] Based on the above scheme, the trade data processing system of the present invention based on transaction structure encoding and computation area mapping can be further improved as follows.

[0023] Furthermore, the conversion module is specifically used to: utilize the internal logic rules that are encapsulated as a black box and are not configurable to process the combination relationship of each parameter in the basic parameter set of the transaction, and generate a unique code as the transaction structure code.

[0024] Furthermore, the first determining module is specifically used to: query a price clause-calculation area mapping table that includes a many-to-one mapping relationship between external price clauses and predefined cost calculation areas; determine the target cost calculation area corresponding to the input price clause through the price clause-calculation area mapping table; wherein, each cost calculation area independently predefines standardized cost calculation steps and formulas.

[0025] Furthermore, the second determining module is specifically used to: parse the identifier of the target jurisdiction corresponding to the transaction based on the transaction structure code; and dynamically call or generate the target jurisdiction modification factor based on the identifier of the target jurisdiction.

[0026] Furthermore, the generation module is specifically used to: execute a series of sequential and logically consistent cost calculation steps and formulas predefined by the target cost calculation area, and generate preliminary cost results corresponding to the input price terms.

[0027] Furthermore, the output module is specifically used to: use target legal modification factors to make a legality judgment and tax attribute mark on the preliminary cost results; generate the final cost calculation results and the corresponding compliance status description based on the results of the legality judgment and the tax attribute mark; and trigger the corresponding financial or customs declaration action instructions in the system based on the generated compliance status description.

[0028] Furthermore, the basic parameters for the transaction include the seller's location, the buyer's location, the place of origin of the goods, the place of final delivery of the goods, and the party responsible for customs clearance.

[0029] 3) In a third aspect, the present invention also provides an electronic device, the electronic device including a processor coupled to a memory, the memory storing at least one computer program, the at least one computer program being loaded and executed by the processor, so as to enable the electronic device to implement any of the above-mentioned trade data processing methods based on transaction structure encoding and computation area mapping.

[0030] 4) In a fourth aspect, the present invention also provides a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, it implements any of the above-mentioned trade data processing methods based on transaction structure encoding and computation area mapping.

[0031] It should be noted that the beneficial effects of the technical solutions of the second to fourth aspects of the present invention and their corresponding possible implementations can be found in the above description of the technical effects of the first aspect and its corresponding possible implementations, and will not be repeated here. Attached Figure Description

[0032] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments of the present invention will be briefly introduced below: Figure 1 This is a flowchart illustrating a trade data processing method based on transaction structure encoding and computation area mapping according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of a trade data processing system based on transaction structure encoding and computation area mapping according to an embodiment of the present invention. Detailed Implementation

[0033] The principles and features of the present invention are described below. The examples given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0034] The technical solution of the present invention and how the technical solution of the present invention solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of the present invention will now be described with reference to the accompanying drawings.

[0035] like Figure 1 As shown in the figure, a trade data processing method based on transaction structure encoding and computation area mapping according to an embodiment of the present invention includes the following steps: S1. Receive the basic parameter set for the transaction. This set includes the seller's location, the buyer's location, the place of origin of the goods, the final place of delivery of the goods, and the party responsible for customs clearance. The specific implementation process is as follows: S10. Predefine a clear data input interface that declares five fields necessary for receiving the set of basic transaction parameters. Technically, this interface can be an application programming interface function whose function signature explicitly specifies the five input parameters; or a structured user interface form containing five corresponding input controls. Each field is associated with strict data type definitions and constraints. For example, fields such as seller's location, buyer's location, place of origin, and final delivery location are typically defined as strings to receive standard codes for country or region names; the customs clearance responsible party field is also defined as a string to receive a specific code identifying the responsible entity. Load this interface configuration during the initialization phase to prepare for receiving user input.

[0036] S11. When a user initiates a new transaction processing request, the parameter values ​​submitted by the user are captured through the aforementioned interface. The capture process includes serializing data from the front-end form or parsing the request body passed from the application programming interface call. Next, strict input validation is performed on each received parameter value. Validation logic includes, but is not limited to: non-empty checks to ensure all five parameters have been provided; format validity checks, such as whether the value of a location-related parameter exists in the standard country / region code list; and logical consistency pre-checks, such as whether the final delivery location of the goods is a valid geographical location description. If any validation fails, the current process is immediately aborted, and a specific error message is returned to the user, prompting them to correct the input. Only when all parameters pass validation is the process allowed to proceed to the next processing stage.

[0037] S12. The verified raw parameter values ​​need to be standardized to eliminate potential interference from input differences on subsequent black-box coding logic. This process includes removing meaningless leading and trailing spaces from parameter values ​​and uniformly converting the text to uppercase or lowercase to ensure case insensitivity. For location-based parameters, an internal mapping function can be called to convert the user-inputted country or region name into a standardized code used internally. For example, user inputs such as "First Country", "CountryA", and "CTRY1" may all be standardized to the internal code "CTRY1". This process can be formally represented as follows: Let the original parameter value be The standardized parameter values ​​are ,but: ,in, This represents the raw parameter value captured from the user input interface; This represents the final parameter value after standardization. This indicates a function that performs code standardization based on an internal mapping table; This function represents a function that performs a case conversion. This function removes leading and trailing whitespace characters from a string. This step ensures that the internal processing output is a consistent and standardized value, regardless of the user's input.

[0038] S13. The five standardized parameter values ​​are encapsulated into a structured, internally identifiable data object, namely the "basic parameter set for the transaction." This set, as a complete data package, contains all the input information necessary for subsequently generating the transaction structure code. In memory, it can be represented as a data structure with fixed key-value pairs or a tuple in a specific order. For example: Basic parameter set = {Seller's location: 'CTRY1', Buyer's location: 'CTRY2', Goods production location: 'CTRY1', Goods final delivery location: 'CTRY1-CITY1', Customs clearance responsible party: 'Seller'}. Finally, this completed basic parameter set, as the output of step S1, is passed to step S2, thereby driving the operation of the entire three-layer decoupled architecture.

[0039] In this context, the seller's jurisdiction refers to the country or customs territory where the legal entity acting as the seller and signing the sales contract is registered or has its principal place of business. This attribute is used to determine the source of jurisdiction for the sales transaction and is one of the key bases for determining applicable tax policies, particularly the seller's tax obligations and invoice issuance requirements. For example, for a company registered in the first country, its seller's jurisdiction is the first country.

[0040] In this context, the buyer's country of origin refers to the country or customs territory where the legal entity acting as the buyer and signing the purchase contract is registered or has its principal place of business. This attribute is used to determine the jurisdiction of the purchase transaction, affecting the collection of import duties, import value-added tax, and the tax requirements for the buyer receiving invoices. For example, if a company registered in a second country acts as the buyer, its country of origin is the second country.

[0041] The place of origin of goods refers to the country or region in which the goods involved in this transaction are geographically located, having undergone all their production, processing, or substantial assembly. This attribute is the core basis for determining the rules of origin in international trade, directly affecting the applicable tariff rate, whether the goods meet the preferential conditions of free trade agreements, and whether they are subject to specific trade controls. For example, a batch of electronic products manufactured in a factory in the first city of the first country has the first country as its place of origin.

[0042] The place of final delivery refers to the actual geographical location of the goods when, according to the price terms stipulated in the sales contract signed by both parties, the seller fulfills its delivery obligation and ownership and risk of the goods are formally transferred to the buyer. This location is a key point in dividing the responsibilities, costs, and risks of the buyer and seller, and is also a fundamental element in distinguishing domestic trade from import and export trade, and in determining eligibility for export tax refunds or import duties. For example, under EXW terms, if the goods are delivered at the seller's factory, the place of final delivery is the factory's location; under CIF terms, if the goods are delivered on board a ship at the port of destination, the place of final delivery is the port of destination.

[0043] In this context, the party responsible for customs clearance refers to the entity legally responsible for handling import and export customs declaration procedures and bearing the resulting legal liabilities, tariffs, and related fees when goods cross customs borders. This responsible party is usually derived from the price terms in the trade contract and clearly stated in the contract or a separate agreement. Determining the party responsible for customs clearance directly impacts logistics arrangements, document flow paths, and the initiator of customs declaration instructions within the system. For example, under EXW terms, the buyer is typically responsible for export and import customs clearance; under DDP terms, the seller is responsible for import customs clearance.

[0044] S2. Based on the preset internal logic rules, the set of basic parameters of the transaction is converted into a unique transaction structure code; specifically, this includes: using the internal logic rules that are encapsulated as a black box and are not configurable, processing the combination relationship of each parameter in the set of basic parameters of the transaction, and generating a unique code as the transaction structure code.

[0045] Internal logic rules refer to a predefined set of computational instructions and judgment conditions that are invisible and unmodifiable to system users and external callers. These rules determine how to read and interpret the combination relationships of various parameters in the transaction's basic parameter set, and convert them into a unique code according to a specific algorithm. The encapsulation of internal logic rules is why they are called a black box; it ensures the uniqueness of the processing path and logical security, avoiding computational ambiguity and inconsistency caused by external configuration or tampering.

[0046] The combination of parameters in the basic parameter set refers to a joint state constituted by the specific values ​​of the five parameters: the seller's location, the buyer's location, the place of origin of the goods, the place of final delivery of the goods, and the party responsible for customs clearance. This combination transcends the independent meaning of individual parameters, describing the complete topological structure of the transaction in terms of space, responsibility, and process. For example, whether the seller's location and the place of final delivery of the goods are in the same jurisdiction, and whether the party responsible for customs clearance is the buyer or the seller, the interrelationships between these parameters collectively define the essential characteristics of the transaction, such as whether it is domestic trade, export trade, or import trade, and are the direct objects of analysis and encoding by the internal logical rules.

[0047] The specific implementation process of S2 is as follows: S20. Receive the verified and standardized set of basic transaction parameters from step S1. To automate the process, the five parameters are first arranged in a fixed, preset order. For example, the fixed order is: seller's location, buyer's location, goods' place of origin, goods' final delivery location, and customs clearance responsibility party. Then, the specific value of each parameter is converted into a corresponding numeric identifier using an internally maintained standard code mapping table. This mapping table acts like an internal dictionary, mapping "CTRY1" to the number 1, "CTRY2" to the number 2, "Seller" to the number A, and "Buyer" to the number B. After this step, the set of basic parameters is transformed from a set of key-value pairs into a numeric vector with a fixed order. Let this numeric vector be... Its weight is These correspond to the five parameter values ​​after sequentialization. This process can be represented as: ,in, Represents a vector of parameter values. This represents a conversion function based on an internal code mapping table.

[0048] S21. The core of the internal logic rules is one or a series of designed, irreversible hash functions and confusion functions, which transform the numerical vector obtained in the first step... As input, a specific hash operation is performed. To enhance uniqueness, reduce collision probability, and incorporate the covert nature of a black box, this process typically involves non-linear transformations. For example, a weighted sum of the vector components can be calculated first, then the result can be concatenated with an internally confidential salt value, and finally, a cryptographic hash function such as HASH-256 can be used for computation. This process can be represented by the following formula: ,in, This represents the intermediate hash value obtained; These are non-zero weight coefficients defined by internal logic rules, used to reflect the differences in the impact of different parameters on the encoding; This indicates a string or byte concatenation operation; This represents a pre-set confidential salt value string within the system, which increases the difficulty of inferring rules from the encoding.

[0049] S22, The hash value obtained in the previous step It is a very long hexadecimal string. Internal logic rules truncate and format it according to predefined rules to generate the final, fixed-length transaction structure code. For example, taking... The first 16 characters are used, with a hyphen inserted every 4 characters. Internally, a very simple collision detection mechanism is maintained. In the event of a hash collision (i.e., two different vectors...), the collision occurs with extremely low probability. and The generation of identical formatted codes triggers a fallback processing procedure based on internal logic rules. This procedure might introduce a secondary hash of the original string representation of the vector, or append a sequential number to a collision code with a very low probability, thus logically guaranteeing the uniqueness of the output. The final generated transaction structure code... It can be represented as: ,in, This represents the final generated transaction structure encoding; This represents the function that ensures the uniqueness of the encoding. This function formats the processed data into a standard encoded string.

[0050] S23. Set up the calling interface, with the basic parameter set as input and the transaction structure code as output. The specific internal logic rules are compiled into binary code or exist in the form of encrypted scripts, which are invisible and unconfigurable to users, configuration administrators, and even developers of other modules.

[0051] S3. Determine the target cost calculation area corresponding to the input price terms, specifically including: S30. Query the price clause-calculation area mapping table, which includes a many-to-one mapping relationship between external price clauses and predefined cost calculation areas; where each cost calculation area independently predefines standardized cost calculation steps and formulas. The specific implementation process is as follows: The S300 Price Terms-Calculation Zone Mapping Table is stored persistently, for example, in a configuration table in a relational database, an XML configuration file, or a JSON document. The table's data structure explicitly includes two basic fields: a Price Terms Code field and a Target Calculation Zone Identifier field. The Price Terms Code field stores the standard codes for all price terms supported by this invention, such as "EXW" or "CIF". The Target Calculation Zone Identifier field stores a unique ID for a predefined cost calculation zone, such as "CALC_ZONE_01". This table defines the mapping relationship from multiple price terms to a single cost calculation zone and is a key carrier for decoupling business rules from calculation logic.

[0052] S301 executes a data loading routine that reads all records from the entire price clause-calculation area mapping table from the aforementioned persistent storage medium. To improve subsequent query efficiency, these records are loaded into an efficient in-memory data structure, most commonly a hash table. In this hash table, the price clause code serves as the key, and the corresponding mapping target calculation area identifier serves as the value. This loading and caching operation ensures that all subsequent query operations are performed in memory, resulting in extremely fast response times. This hash table can be denoted as... .

[0053] S302. Expose an internal interface or method for querying the mapping table. The responsibility of this interface is to receive a normalized price term string and return its in-memory mapping table. The corresponding value is the cost calculation area identifier. This interface implementation encapsulates the lookup operation on the in-memory hash table and includes basic error handling logic, such as returning a special value representing "unmapped" or throwing an explicit exception when the input key does not exist. Step S30 is now complete; it has prepared the data and provided access methods, awaiting the call to step S31.

[0054] In international trade, price terms typically refer to a series of standard trading conditions defined in the Incoterms (International Rules for the Interpretation of Trade Terms) established by the International Chamber of Commerce, such as EXW, FOB, CIF, and DDP. These terms clearly define the boundaries of cost, risk, and liability allocation between the buyer and seller during the handover of goods. In this invention, price terms are a key business parameter input by the user, directly triggering different cost calculation ranges and logics, serving as a bridge connecting external commercial contracts and the internal cost calculation engine.

[0055] The cost calculation area consists of predefined, independent, and autonomous cost calculation logic modules. Each cost calculation area encapsulates a complete and standardized set of cost calculation steps and formula sequences for handling a specific combination of cost components. For example, a "factory cost calculation area" might only contain the calculation of the ex-factory price of goods; an "international transportation cost calculation area" might sequentially contain the calculation formulas for the price of goods, international freight, and insurance premiums. The cost calculation area is decoupled from specific external price terms, allowing multiple different price terms to be mapped to the same cost calculation area, thus achieving a high degree of reusability of calculation logic.

[0056] S31. Determine the target cost calculation area corresponding to the input price clause through the price clause-calculation area mapping table. The specific implementation process is as follows: S310. Call the mapping table query interface, passing the "input price terms" as a parameter. Internally, the query interface uses this parameter as the key to look up a hash table in memory. This process can be formally represented as: ,in, This represents the input price terms string. This indicates the cost calculation area identifier returned by the query. If If it does not exist in the mapping table, then If the result is null or triggers a predefined exception, it indicates that this price term has not been supported.

[0057] S311. Successfully obtain a valid cost calculation area identifier. Then, the engine needs to find the complete calculation logic definition based on this. A separate "computation area configuration library" is maintained, which stores detailed configuration information for all cost calculation areas, such as calculation step lists, formula references, parameter mapping rules, etc. The engine uses... Used as a primary key or index, it is retrieved from the compute area configuration library. This retrieval process can be represented as: ,in, This indicates the computing area configuration library. This represents the complete configuration data for the retrieved target cost calculation area.

[0058] S312, retrieved This is static configuration data. The engine instantiates this configuration data, creating a computational task object that can be executed at runtime, or a clearly defined computational process. This instantiated object is the "target cost calculation area," which contains all the logical instructions required to execute step S5. Finally, this target cost calculation area is output as the result of step S31, thus successfully completing the process from determining and delivering the user-input price terms to the internal standardized computational logic.

[0059] S4. Based on the transaction structure code, determine the target jurisdiction corresponding to the transaction, and obtain the target jurisdiction modification factors corresponding to the target jurisdiction, specifically including: S40. Parse the identifier of the target jurisdiction corresponding to the transaction based on the transaction structure code. The specific implementation process is as follows: S400: Receive the transaction structure code from the upstream process. Before parsing begins, a basic verification is performed on the code, checking its length and character set to ensure they conform to predefined format specifications and that the code itself is valid and has not been tampered with. For example, it verifies whether the code consists of a specified number of numbers and letters and contains specific delimiters. If the verification fails, the process will abort and return an error.

[0060] S401. The generation rules for the transaction structure code are black-box and unconfigurable, but internally pre-defined reverse mapping rules are used to parse the code and extract jurisdiction information. These parsing rules are the counterparts of the code generation logic at the information extraction level, and are also encapsulated internally. The parsing process typically involves splitting the encoded string at specific positions, or calculating the portion representing the jurisdiction from the code using a predefined algorithm. For example, the 3rd to 5th characters of the code might directly represent the abbreviation of the jurisdiction where the goods were produced, and by applying a specific hash decoding function to the entire code, the jurisdiction where customs clearance occurred can be deduced. Let the transaction structure code be... The parsed original jurisdiction code substring or deduced value This step can be formally represented as: ,in, Indicates the input transaction structure code; This represents the internally encapsulated function for parsing jurisdictional information. Represents the parsed first... The original jurisdictional values.

[0061] S402, the result of the previous step This could be internal code or abbreviations that need to be further mapped to globally used standard jurisdiction identifiers. Maintain an internal mapping table to handle all possible... The values ​​are converted into standard identifiers such as "CTRY1" representing the first country, "CTRY2" representing the second country, and "BLOC1" representing an economic union. For example, the parsed value "86" might be mapped to "CTRY1", and the parsed value "ZGY" might also be mapped to "CTRY1". All parsed values ​​will be iterated over. By querying this mapping table, the corresponding set of standard jurisdiction identifiers can be obtained. This step eliminates the discrepancy between the internal representation of the encoding and the system's standard identifier.

[0062] S403. Since a transaction may involve multiple jurisdictions, and different resolution paths may point to the same jurisdiction, it is necessary to deduplicate the obtained set of standard identifiers. After deduplication, the jurisdictions in the list can be sorted according to predefined business logic. For example, the sorting logic could be: designate the jurisdiction where the goods are ultimately delivered as the primary processing jurisdiction, and the jurisdiction of the customs clearance party as the secondary processing jurisdiction. Finally, an ordered list of unique jurisdiction identifiers is output. This serves as the set of identifiers for the target jurisdiction corresponding to the transaction. This list will be passed to step S41 for use.

[0063] In this context, a jurisdiction identifier refers to a standardized code that uniquely represents a specific country, region, or its specific customs and legal jurisdiction. This identifier is a key index used for retrieval and matching when processing compliance rules within the system. Common identifier systems include country codes from the International Organization for Standardization (ISO) or internally defined, hierarchical region codes. For example, "CTRY1" represents the first country. The jurisdiction identifier transforms the abstract concept of legal jurisdiction into a data key that can be precisely processed by a computer.

[0064] S41. Based on the identifier of the target jurisdiction, dynamically call or generate target jurisdiction modification factors. The specific implementation process is as follows: S410. A "judicial modification factor repository" is predefined or accessible. This repository stores the implementations or definitions of all available judicial modification factors. The repository's organization is typically based on jurisdictional identifiers as index keys. The list of target jurisdictional identifiers obtained in step S40 is traversed. For each identifier in the list The system attempts to find the associated modifier resource in the resource repository. The resource can take the form of a standalone Java class file, a Python module, a configuration file containing the rule script, or an endpoint address pointing to an external rule engine service. The search process can be represented as follows: ,in, A registry or index representing a repository of judicial modifiers; Indicates the found and the identifier The corresponding modifier resource descriptor.

[0065] S411. For each resource descriptor found This needs to be converted into a runnable object in memory. If the modifier exists as a compiled class file, it will be dynamically loaded using Java's class loader or a similar mechanism; if it exists as a script, the corresponding script engine will be invoked to interpret and load the script. After loading, a new instance of the modifier class or object is created. During instantiation, the context information of the current transaction, such as the transaction structure encoding, will be included. The modifier itself, passed as an initialization parameter to this instance, enables the modifier to be aware of the specific transaction being processed. Let the instantiated modifier object be... ,but: ,in, This indicates the resource loading function. Indicates the instantiation function. This refers to the context information passed in.

[0066] S412. A transaction may involve multiple jurisdictions, and therefore may require the application of multiple judicial modifiers. All modifier objects instantiated in [the relevant mechanism / process] will be [the relevant mechanism / process]. According to the list of target jurisdictions The order in which these elements are combined forms a logical "composite modifier." This composite modifier is itself an executable unit, and its internal logic specifies how to call the various sub-factors sequentially or conditionally. The processing methods are as follows. The combination strategy can be a simple chained sequential execution or a more complex merge execution based on rule priority.

[0067] S413. Output the generated composite modifier as the "target judicial modifier." This target judicial modifier is a pre-packaged, ready-to-use, callable object containing all necessary jurisdictional compliance processing logic. It is passed to subsequent step S6 to prepare for interpreting and adjusting the preliminary cost results. The entire process of step S41 achieves dynamic assembly of judicial rules, enabling adaptation to policy changes in different jurisdictions by updating or replacing factor definitions in the resource library without modifying the core code.

[0068] A judicial modification factor is an independent, pluggable software component or set of rule logic that encapsulates the interpretation and execution logic of compliance rules for one or more specific jurisdictions. Judicial modification factors do not contain core cost calculation rules; instead, they focus on applying adjustments, judgments, and markings based on local tax, customs, and other regulations on top of the core calculation results. For example, a judicial modification factor for a first country might include logic for "determining whether a transaction meets export tax refund conditions" and "marking the VAT processing method." Its "pluggable" nature means it can be updated, added, or removed independently of the system core.

[0069] S5. Execute the predefined standard calculation process in the target cost calculation area to generate preliminary cost results. Specifically, execute a series of sequential and logically consistent cost calculation steps and formulas predefined in the target cost calculation area to generate preliminary cost results corresponding to the input price terms. The specific implementation process is as follows: S50. Mapping the Calculation Area: Obtain the identifier or configuration object of the target cost calculation area from step S3. Based on this identifier, retrieve the complete configuration definition of the calculation area from the calculation area configuration library. The configuration definition is a structured data object that must contain an ordered list named "Calculation Step Sequence". Each element in the list, i.e., a calculation step, explicitly specifies the following attributes: unique step number, step name, identifier of the referenced calculation formula, list of required input parameter names, and variable name of the output result. For example, the configuration of a calculation area might contain three steps: Step 1: Calculate the price using formula F001; Step 2: Calculate the freight cost using formula F002; Step 3: Calculate the insurance premium using formula F003. This configuration is parsed and loaded into memory, preparing to create an executable calculation task instance.

[0070] S51. Create a dedicated "computation context" object for this cost calculation. This context object first extracts raw data related to the cost calculation from the current transaction's basic parameter set, such as quantity of goods, unit price, and exchange rate, and stores it in a "parameter pool." The parameter pool is a key-value pair storage structure used to save and share all intermediate variables and final results throughout the calculation process. Furthermore, the context object records which calculation step is currently being executed and reserves data structures for storing the final preliminary cost results. The initialization process ensures that each calculation task has an independent and clean running environment.

[0071] S52. Following the order defined in the "Calculation Step Sequence" configuration, begin iteratively executing each calculation step. For the first step in the sequence... Steps The engine executes the following sub-processes: ① The engine, based on... The "Referenced Formula Identifier" field searches for and loads the corresponding formula from a pre-built formula library. Formulas exist as executable code snippets or mathematical expression strings. For example, the formula... It can be defined as: ② Next, the engine, according to The engine retrieves the specific parameter values ​​from the parameter pool of the current calculation context, based on the "list of required input parameter names". If a parameter is missing, the engine may attempt to query it in real-time from the underlying transaction data or assign a default value; if this fails, an error is thrown. Then, the engine substitutes the retrieved parameter values ​​into the loaded calculation formula and performs the specific numerical calculations. The calculations produce one or more output values. Finally, the engine... The variable name of the output result is specified in the table. The calculated output value is written back to the parameter pool of the computation context for use in subsequent steps. This process can be formally represented as: ,in, Indicates the first The calculation formulas referenced in each step; This represents the set of input parameter values ​​obtained from the parameter pool; This indicates the function to execute the formula; This represents the set of values ​​from the computational output, which are then updated in the parameter pool.

[0072] S53. After all the calculation steps defined in the "Calculation Step Sequence" have been executed, the result integration stage begins. The configuration definition of the target cost calculation area typically specifies which variables in the parameter pool constitute the final "preliminary cost result". These variables usually correspond to the main output of each calculation step. The engine extracts these specified variables from the parameter pool and encapsulates them according to a predefined structure (such as a JSON object containing item names and amounts, or a data transfer object in a specific format). This encapsulated data structure is the "preliminary cost result". For example, for the calculation areas of the above three steps, the final output preliminary cost result object is: {"Price of Goods": 10000, "International Freight": 1500, "Insurance": 200}. The engine outputs this preliminary cost result, marking the completion of step S5. This result is then sent to step S6 to await the processing of judicial modification factors.

[0073] The preliminary cost result refers to a structured set of cost data output by the target cost calculation area after strictly following a series of predefined steps and formulas. This result reflects the theoretical cost composition calculated based on purely commercial contract terms (price terms) and basic transaction parameters, after stripping away the influence of all specific jurisdictional compliance rules. For example, for a calculation area corresponding to a CIF price term, the preliminary cost result may include the amounts of three sub-items: "price of goods," "international freight," and "insurance." This result serves as the foundational input for subsequent compliance interpretation and adjustments of judicial modification factors.

[0074] S6. Utilize target legal modification factors to interpret and adjust the preliminary cost results for compliance, outputting the final cost calculation results and the corresponding compliance status and system action instructions, specifically including: S60. The preliminary cost results are assessed for legality and tax attributes using target judicial modification factors. The specific implementation process is as follows: S600. The preliminary cost result output in step S5, along with the transaction structure code and relevant contextual information extracted from the transaction basic parameter set (such as the names of the buyer and seller, the HS code of the goods, etc.), are packaged into a complete "modification factor input package". Then, the target judicial modification factor that has been loaded and instantiated in step S41 is called, and this input package is passed to the factor.

[0075] S601. The target judicial modifier factor, internally, performs a series of logical judgments on the input information based on the rules of the jurisdiction it represents. The judgment process is based on a set of rules pre-set or dynamically acquired within the factor. For example, the factor might examine the relationship between the flow of goods and funds implied in the transaction structure code to determine whether the transaction constitutes a "deemed sale" within the jurisdiction, whether it meets the substantive requirements for "export tax refund," or whether it falls under the "tax-free" category. These judgments are typically implemented in the form of conditional rules. For example, a rule for determining eligibility for export tax refunds might formally examine multiple Boolean conditions: ,in, Represents the jurisdiction where the goods leave the country. Represents the jurisdiction where the goods were produced. Represents the jurisdiction where the goods are ultimately delivered. Represents the type of goods. This represents the set of goods eligible for tax refunds. The results of all similar assessments are aggregated to form a preliminary set of conclusions regarding the legality of the transaction.

[0076] S602. Based on the data structure of the preliminary cost results and the judgment conclusion of the second step, the judicial modification factor traverses each cost item and applies tax rules to label the item. For example, for the "Price of Goods" item, if it is judged to be a domestic taxable sale, it is labeled as "Taxable Sales Amount"; if it is judged to be a qualified export, it is labeled as "Export Zero-Rate Sales Amount". For the "International Freight" item, depending on the buyer's attributes and price terms, it may be labeled as "Collection and Payment on Behalf of Others" or "Extra-Price Charges". The labeling process essentially associates numerical cost data with categorized tax processing codes to generate an enhanced cost result structure, in which each item... Each one comes with a set of tax labels. .

[0077] S61. Based on the results of the legality assessment and the tax attribute marking, generate the final cost calculation result and the corresponding compliance status description. The specific implementation process is as follows: The judicial modification factor makes necessary numerical adjustments to the preliminary cost results based on the results of tax attribute marking. Adjustments may include: adjusting net costs based on input taxes marked as "non-deductible"; adding or explicitly specifying certain tax items in the cost structure (such as calculating and adding local surcharges); or removing items marked as "collected and paid on behalf of others" from the tax base. The adjustment process follows a predefined adjustment formula, ultimately producing a "final cost calculation result" that reflects the true tax and accounting cost structure. This result is a detailed data object containing all adjusted item amounts and complete tax labels. If all mandatory rules are met, a "fully compliant" status is generated; if there are non-mandatory recommendations requiring additional conditions (such as filing), a "conditionally compliant" status is generated; if mandatory rules are violated, a "non-compliant" status is generated. Simultaneously, based on the specific rule entries triggered, the factor selects or dynamically concatenates a complete "compliance status description" text from a template library. The description text embeds specific transaction parameters and the rule numbers or names used for judgment, making the conclusion traceable and interpretable. Finally, the module outputs a triple containing the "final cost calculation result", the "compliance status" enumeration value, and the "compliance status description" text as the result of step S61.

[0078] S62. Based on the generated compliance status description, trigger corresponding financial or customs declaration action instructions. The specific implementation process is as follows: Based on the final determined compliance status and the tax tags in the final cost calculation results, a set of predefined system action instructions are generated. Each instruction is a structured object containing at least the following fields: instruction type, target system module, operation action, operation parameter list, and execution priority. For example, for a compliant export transaction, the following instruction might be generated: {Type: "Financial Instruction", Target: "Financial Subsystem", Action: "Application for Tax Refund", Parameters: [Tax Refund Application Form ID, Calculated Tax Refund Amount, Related Invoice List], Priority: "High"}. Instruction generation is based on a "Status-Action" mapping rule table, which is part of the judicial modifier configuration. The generated system action instructions are submitted to the system's instruction distribution center or message queue. The distribution center routes the instruction to the corresponding downstream system interface based on the "Target System Module" field in the instruction. For example, a financial action instruction is sent to the financial module application programming interface of the enterprise resource planning system, and a customs declaration action instruction is sent to the application programming interface of the electronic customs declaration platform. After receiving the instruction, the downstream system parses the instruction content and performs specific operations, such as creating documents, initiating approval flows, or calling external services. The responsibilities of this invention are fulfilled upon successful issuance of the instruction, with subsequent execution results fed back and recorded by various business systems. The entire process achieves automated integration from compliance assessment to business operations.

[0079] The tax attribute labeling results refer to the set of classification labels attached to each cost item in the preliminary cost results after the judicial modification factors analyze them, regarding their tax treatment. These labels are qualitative judgments based on the tax rules of the relevant jurisdictions, such as "taxable sales," "deductible input tax," "VAT-exempt," "exported taxable services with zero tax rate," and "non-taxable expenses." The labeling results are attached to the cost items as structured data, providing a direct basis for subsequent calculation of tax payable, determination of tax refund eligibility, and accounting entries.

[0080] The final cost calculation result corresponds to a compliance status, which is a conclusive judgment made after comprehensive evaluation of judicial modification factors, regarding whether the entire transaction meets the mandatory legal requirements of all relevant jurisdictions during the processing. This status is usually an enumerated value, such as "fully compliant," "conditionally compliant with additional filing requirements," "non-compliant - transaction prohibited," or "partially compliant - tax risks exist." This status is a high-level summary of the legality of the transaction and directly determines whether the transaction can be finally confirmed and the direction of subsequent business processes.

[0081] The corresponding compliance status description is a detailed text description generated along with the compliance status enumeration value, intended for management or audit logs. It explains the reasons for the compliance status, cites relevant legal provisions or internal policy clauses, and may indicate the specific triggering rule conditions or exceptions requiring attention. For example, when the status is "Conditionally Compliant," the description might be "The transaction meets the formal requirements for export tax refunds, but the matching degree between the goods code and the tax refund rate database is less than 95%, manual review is recommended."

[0082] The system action instructions corresponding to the final cost calculation results refer to structured command objects generated by the judicial modification factors based on the compliance judgment results, which require downstream business systems to perform specific operations. These instructions serve as a bridge connecting the processing system of this invention with the actual operating systems of enterprises (such as financial software and customs declaration platforms), transforming compliance conclusions into executable tasks.

[0083] The corresponding financial or customs declaration action instructions are specific types of the aforementioned system action instructions, pointing to the financial module and the customs declaration module respectively. Financial action instructions may include "create accounts receivable / payable vouchers," "apply for VAT special invoices," and "submit export tax refund application data," along with their required parameters. Customs declaration action instructions may include "generate draft export customs declarations," "send pre-entered customs declaration information," and "mark logistics document status," along with their associated data. These instructions have standardized formats, allowing downstream system interfaces to directly parse and execute them.

[0084] The following case study, a specific example of "general export trade," fully demonstrates the entire process of this invention's technical solution, from data input to final instruction generation. In this case, a manufacturer in a first city of a first country sells a batch of electronic products to a customer in a second city of a second country. The specific steps include: S101. The user creates a new transaction order through the system interface and fills in the following information: Seller's location: First country; Buyer's location: Second country; Place of origin: First country; Final delivery location: Second city of the second country; Customs clearance responsibility: Seller; Price terms: CIF. In addition, the user needs to enter the specific commercial data for this transaction in the relevant fields: Quantity: 100 units; Ex-factory price: US$100 per unit; Total international sea freight budget: US$800; Cargo insurance budget: US$200. The interface receives this information, verifies the format and logic, and encapsulates the five parameters—seller's location, buyer's location, place of origin, final delivery location, and customs clearance responsibility—into a basic parameter set for the transaction. It stores the quantity, unit price, and other commercial data in the transaction details and transmits the price terms "CIF" as an independent parameter. All data then proceeds to the next stage of the process.

[0085] S102. Receive the above set of basic parameters. Process the parameters using black-box logic rules. First, convert the parameter values ​​into internal vectors. For example: the seller's location "first country" is mapped to CTRY1, the buyer's location "second country" is mapped to CTRY2, the goods' place of origin "first country" is mapped to CTRY1, the goods' final delivery location "second country, second city" is mapped to CTRY2-CITY2, and the customs clearance responsible party "seller" is mapped to S. Subsequently, the internal logic rules apply hash and obfuscation functions, for example... The algorithm performs calculations to obtain the hash value. Finally, the hash value The transaction is formatted to generate a unique transaction structure code, such as "TX-7A3F-98B2-41C6". This code is output as a unique identifier for this transaction throughout the entire system.

[0086] S103. After receiving the price term "CIF", the engine queries the loaded price term-calculation area mapping table in memory. This mapping table shows that the price term "CIF" maps to the target cost calculation area identifier "ZONE_CIF_FULL". The engine then retrieves the complete configuration from the calculation area configuration library based on this identifier "ZONE_CIF_FULL". The configuration shows that the "ZONE_CIF_FULL" cost calculation area predefines three standard steps to be executed sequentially: the first step is to calculate the price, referencing the formula... The second step is to calculate international freight; the third step is to calculate insurance premiums. This configuration is instantiated as the target cost calculation area for this transaction.

[0087] S104, Receive transaction structure code “TX-7A3F-98B2-41C6”. The module's internal parsing rules extract the key jurisdictional identifiers involved in the transaction from this code. Based on internal logic, the parsing process may identify that the goods' origin and production location are both in the first country, while the delivery location is in the second country. Therefore, the list of target jurisdictional identifiers is determined as follows: The module then dynamically invokes the corresponding legal modification factors based on this list. For the "CTRY1" identifier, the "First Country Export Tax Modification Factor" is loaded and instantiated from the repository; for the "CTRY2" identifier, the "Second Country Import Tax Modification Factor" is loaded and instantiated. These two factors are combined into a composite target legal modification factor for this transaction.

[0088] S105. Identify the located "ZONE_CIF_FULL" target cost calculation zone. Create a calculation context and extract parameters from the transaction details: unit price. US dollars, amount ,freight US dollars, insurance premium US dollars. Substitute into the formula. ,get US dollars. The parameters are read directly to obtain... US dollars. The parameters are read directly to obtain... USD. After all steps are completed, the engine integrates the output and generates a preliminary cost result: {"Price of Goods": 10000, "International Freight": 800, "Insurance": 200}. This result only represents the commercial cost structure based on CIF terms and does not include any tax treatment.

[0089] S106. Judgment and Labeling Using Judicial Modification Factors. The composite target judicial modification factor receives preliminary cost results and transaction context. The "First Country Export Tax Modification Factor" runs first, determining that the transaction is an "export activity departing from the first country" based on the transaction structure code, and that the goods fall under the tax refund category. The factor labels the preliminary cost results with tax attributes: marking the "goods price" of $10,000 as "export sales at zero tax rate" and "tax refund basis"; marking the "international freight" of $800 and "insurance" of $200 as "extra-price charges" and "tax refund basis". The "Second Country Import Tax Modification Factor" then runs, marking that import VAT and customs duties are payable upon arrival in the second country, with the customs duty base being the CIF total value (i.e., goods price + freight + insurance). Factor summary judgment: the "First Country Export Tax Modification Factor" is judged as "Fully Compliant - Meets export tax refund conditions"; the "Second Country Import Tax Modification Factor" is judged as "Fully Compliant - Import declaration required". The composite factor generates the final cost calculation result, which adds all tax labels to the preliminary result. It also generates a compliance status of "Fully Compliant" and a descriptive text: "The transaction complies with the export tax refund requirements of the first country and the import declaration requirements of the second country; the tax refund base in the first country is USD 11,000." Based on the final status and labeling results, the judicial modification factor generates the following structured system action instructions: ① Financial Action Instruction: {Instruction Type: "Apply for Export Tax Refund", Target Module: "Financial System", Parameter: [Tax Refund Base Amount: USD 11,000, Related Transaction Number]}. ② Financial Action Instruction: {Instruction Type: "Request VAT Invoice from Supplier", Target Module: "Financial System", Parameter: [Supplier Information, Goods Amount: USD 10,000]}. ③ Customs Declaration Action Instruction: {Instruction Type: "Prepare Export Customs Declaration", Target Module: "Customs Declaration System", Parameter: [Goods Information, CIF Total Value: USD 11,000, Destination Country / Second Country]}. ④ Customs Clearance Instructions: {Instruction Type: "Notify freight forwarder to arrange import customs clearance in the second country", Target Module: "Logistics System", Parameters: [Second Country Importer Information, Estimated CIF Price: USD 11,000]}. These instructions are sent to the system message queue, received and executed by the corresponding business modules, thereby automating the completion of all financial and logistical compliance operations for this export transaction.

[0090] This embodiment describes a "general trade" transaction from a bonded zone to the territory of China, which specifically includes the following steps: S201. The user creates a sales order on the Enterprise Resource Planning (ERP) system interface. The user fills in key information: Seller's location: First country (company registered in the first district of the first city); Buyer's location: First country (company registered in the second district of the first city); Place of origin: Third country; Place of final delivery: First city of the first country; Customs clearance responsible party: Seller; Price terms: EXW (Ex Works, referring to delivery from a bonded warehouse). Simultaneously, the user enters the following in the order details: Quantity: 50 units; Price per unit: USD 200. The system captures this information through a standardized input interface, verifies data integrity, and then formally receives the basic transaction parameter set consisting of five elements: Seller's location, Buyer's location, Place of origin, Place of final delivery, and Customs clearance responsible party. The system then passes the price term "EXW" along with the commercial details to the next processing stage.

[0091] S202. Obtain the set of basic parameters generated in the previous step. The internally encapsulated and invisible logical rules begin to work. The rules parse and combine these parameters. It maps "First Country" to the internal code CTRY1, "Third Country" to CTRY3, "First Country CITY1" to CTRY1-CITY1, and "Seller" to S. Subsequently, these coded parameters are converted into a numerical vector. The internal logic rules apply its proprietary algorithm, which may involve calculating weighted feature values ​​and concatenating them with an internal salt value before performing a cryptographic hash operation. Finally, the hash value... The output is formatted to generate a unique transaction structure code, such as "TX-BOND-OUT-5D8E". This code becomes the unique identifier for this transaction throughout the entire system.

[0092] S203. Upon receiving the input price term "EXW", the engine queries the cached price term-calculation zone mapping table in memory. This mapping table reveals a many-to-one mapping relationship: price terms such as "EXW", "EXW+", and "FCA" all point to the same target cost calculation zone identifier "ZONE_BASIC". The engine then uses this identifier to retrieve the complete definition of the "ZONE_BASIC" zone from the calculation zone configuration library. The configuration shows that this cost calculation zone predefines only one standardized calculation step: executing the formula. This is used to calculate the ex-factory (or out-of-warehouse) price of the goods. This configuration is instantiated and established as the target cost calculation area to be performed in this transaction.

[0093] S204. Upon receiving the transaction structure code "TX-BOND-OUT-5D8E", the code is interpreted according to its built-in parsing logic corresponding to the code generation rules. The parsing logic identifies key information hidden in the parameter combination: the place of origin of the goods (a third country) and the place of final delivery (the first country, CITY1) belong to different customs territories, and the seller and buyer are located in the same country. Therefore, the target jurisdiction identifier list involved in the transaction is accurately parsed as follows. This primarily involves the customs and tax jurisdiction of the first country. The module then dynamically retrieves the corresponding "first country customs special supervision zone entry / exit modification factor" from the judicial modification factor resource library based on the identifier "CTRY1," and loads and instantiates it as the target judicial modification factor specifically for this transaction.

[0094] S205. After determining the "ZONE_BASIC" target cost calculation zone, create an independent calculation context and extract parameters from the transaction details: unit price. US dollars, amount The engine executes the only predefined calculation step for this region, substituting it into the formula: After the calculation is complete, the engine outputs the preliminary cost result. Since the "ZONE_BASIC" zone only calculates the value of the goods themselves, the preliminary cost result is: {"Ex-warehouse price": 10000}. This result reflects the pure commercial cost based on EXW terms, excluding any import duties or domestic transit taxes.

[0095] S206, the target judicial modification factor "First Country Customs Special Supervision Zone Entry / Exit Modification Factor" is activated. It receives the preliminary cost results and the complete context including the transaction structure code. The factor analyzes the first country's customs regulations for bonded zone goods. It first determines the nature of the transaction: goods are exported from the bonded zone (originating in a third country) into the first country for sale, constituting an "import activity from abroad into the country," even though both the buyer and seller are companies in the first country. The factor performs a legality assessment, confirming that this operation is legal and requires import declaration and tax payment. Next, the factor marks the preliminary cost results with tax attributes: marking the "goods ex-warehouse price" of US$10,000 as the "import duty-paid price" and "import VAT tax base." It also calculates the import duties (assuming a rate of 5%) and import VAT (assuming a rate of 13%) to be levied, as adjustments. The judicial modification factor synthesizes the assessment results and generates a compliance status of "Fully Compliant - Import Clearance and Tax Payment Required." Simultaneously, the factor generates the final tax-inclusive cost calculation result, which adds the calculated tax items to the preliminary result: {"Ex-warehouse price": 10000, "Import duty": 500, "Import VAT": (10000+500)*0.13=1365}. A compliance status description text is generated: "Goods leaving the bonded zone and entering the country must be declared as general trade goods and subject to corresponding customs duties and import VAT," triggering a system action instruction. Based on the above results, the judicial modification factor generates and issues the following structured system action instructions: ① Customs declaration action instruction: {Instruction type: "Declare import from bonded zone", target module: "Customs declaration system", parameters: [Goods information, dutiable value of USD 10000, country of origin (third country), HS code]}. ② Financial action instruction: {Instruction type: "Accumulate import duties and VAT payable", target module: "Financial system", parameters: [Customs duty amount USD 500, import VAT amount USD 1365, estimated customs payment slip number]}. ③ Financial Action Instructions: {Instruction Type: "Issue VAT Special Invoice to Domestic Customer", Target Module: "Financial System", Parameters: [Customer Information, Sales Amount: USD 10,000, Output VAT Calculated Based on Domestic Sales Rules]} (Note: The tax processing of the domestic sales process here is triggered in parallel by another domestic sales rule). ④ These instructions are immediately dispatched to the company's customs declaration and financial systems, driving them to automatically initiate the corresponding customs clearance processes and accounting treatments, ensuring that the trade transaction leaving the bonded zone is executed efficiently and compliantly.

[0096] Compared with the prior art, the present invention has the following technical effects: ① By using a unique transaction structure code, the complex logic of traditional systems relying on multi-module collaborative judgment is simplified into a single code-based query. This significantly reduces the number of data transfers and branch judgments within the system to determine transaction types and match calculation rules, effectively reducing the load on the central processing unit and memory. ② The decoupling of the cost calculation area and price clauses means that when adding a new price clause, no new calculation logic needs to be written; only a new mapping relationship needs to be configured in the price clause-calculation area mapping table. The independence of judicial modification factors means that when compliance rules such as taxation and customs change in different jurisdictions, there is no need to modify the core code such as the transaction structure code generation module, calculation area mapping, and execution engine. Only the rule knowledge base or factor definition connected to the judicial modification factor processing module needs to be updated or replaced, significantly reducing system maintenance costs and improving adaptability. ③ The transaction structure code generated by the transaction structure code generation module (a black box) ensures that transactions with the same set of basic transaction parameters will inevitably obtain the same code, thus inevitably triggering the same subsequent processing path. This fundamentally eliminates errors that may occur due to manual configuration of judgment rules in different system modules, as well as calculation ambiguities caused by inconsistencies in rules between multiple modules. ④ The transaction structure coding generation rules, one of the core logic components, are completely encapsulated within the transaction structure coding generation module, making them invisible and unconfigurable to system users and external callers. This increases the difficulty for competitors to understand and replicate the system's core processing logic by analyzing system output, providing additional security for the enterprise's critical business processes. ⑤ Complex business processing issues involving multiple jurisdictions and trade models are transformed into three distinct technical issues: clear transaction structure coding generation, mapping price terms to cost calculation areas, and compliance modification through judicial modification factors. This architecture effectively reduces the overall system complexity when handling mixed trade businesses.

[0097] In the above embodiments, although the steps are numbered S1, S2, etc., they are only specific embodiments given by the present invention. Those skilled in the art can adjust the execution order of S1, S2, etc. according to the actual situation. The scheme after adjusting the order is also within the protection scope of the present invention. It can be understood that in some embodiments, some or all of the above embodiments may be included.

[0098] like Figure 2 As shown, a trade data processing system 200 based on transaction structure encoding and computation area mapping according to an embodiment of the present invention includes a data receiving module 201, a conversion module 202, a first determining module 203, a second determining module 204, a generation module 205, and an output module 206. Data receiving module 201 is used to: receive the basic parameter set of a transaction; The conversion module 202 is used to convert the basic parameter set of a transaction into a unique transaction structure code according to preset internal logic rules; The first determining module 203 is used to: determine the target cost calculation area corresponding to the input price terms; The second determining module 204 is used to: determine the target jurisdiction corresponding to the transaction based on the transaction structure code, and obtain the target judicial modification factor corresponding to the target jurisdiction; The generation module 205 is used to: execute the predefined standard calculation process in the target cost calculation area to generate preliminary cost results; The output module 206 is used to: interpret and adjust the preliminary cost results for compliance using the target judicial modification factors, and output the final cost calculation results and the corresponding compliance status and system action instructions.

[0099] Optionally, in the above technical solution, the conversion module 202 is specifically used to: process the combination relationship of each parameter in the basic parameter set of the transaction using internal logic rules that are encapsulated as a black box and are not configurable, and generate a unique code as the transaction structure code.

[0100] Optionally, in the above technical solution, the first determining module 203 is specifically used to: query a price clause-calculation area mapping table that includes a many-to-one mapping relationship between external price clauses and predefined cost calculation areas; determine the target cost calculation area corresponding to the input price clause through the price clause-calculation area mapping table; wherein, each cost calculation area independently predefines standardized cost calculation steps and formulas.

[0101] Optionally, in the above technical solution, the second determining module 204 is specifically used to: parse the identifier of the target jurisdiction corresponding to the transaction according to the transaction structure code; and dynamically call or generate the target jurisdiction modification factor based on the identifier of the target jurisdiction.

[0102] Optionally, in the above technical solution, the generation module 205 is specifically used to: execute a series of sequential and logically consistent cost calculation steps and formulas predefined by the target cost calculation area to generate preliminary cost results corresponding to the input price terms.

[0103] Optionally, in the above technical solution, the output module 206 is specifically used to: use the target judicial modification factor to make a legality judgment and tax attribute mark on the preliminary cost result; generate the final cost calculation result and the corresponding compliance status description based on the result of the legality judgment and the result of the tax attribute mark; and trigger the corresponding financial or customs declaration action instructions in the system based on the generated compliance status description.

[0104] Optionally, in the above technical solution, the set of basic transaction parameters includes the seller's location, the buyer's location, the place of origin of the goods, the place of final delivery of the goods, and the party responsible for customs clearance.

[0105] This invention employs a three-layer decoupled architecture of "encoding-mapping-modification." The encoding layer encapsulates multi-dimensional transaction parameters to generate a unique transaction structure code, serving as a unified entry point for the system to identify transaction patterns. The mapping layer maps external price terms to an internally predefined cost calculation area, achieving standardization and reuse of calculation logic. The modification layer dynamically loads judicial modification factors based on the jurisdiction involved in the transaction, providing compliance interpretation and adjustment to the output of the cost calculation area. This architecture separates volatile business rules and judicial rules from the stable core calculation engine, improving system cohesion and reducing inter-module coupling. In another embodiment, the system mainly includes the following modules: ① Transaction Structure Code Generation Module: Receives a set of basic transaction parameters, including at least: seller's location, buyer's location, goods' place of production, goods' final delivery location, and customs clearance responsibility party. Based on built-in, invisible internal logic rules, it combines these parameters to generate a unique, internally used transaction structure code. This coding rule is transparent to system users and not configurable, ensuring the uniqueness of the processing path and the security of the system logic. Outputs a unique transaction structure code.

[0106] ② Calculation Area Mapping and Execution Engine: Maintains a calculation area configuration library, where each cost calculation area predefines standardized cost calculation steps and formulas. Maintains a price clause-calculation area mapping table, supporting many-to-one mapping. Based on the input price clause and transaction structure code, searches the price clause-calculation area mapping table, locates the corresponding target cost calculation area, and executes the standardized calculation process for that target cost calculation area to generate preliminary cost results.

[0107] ③ Judicial Modification Factor Processing Module: As a pluggable component, it stores or connects to external judicial rule knowledge bases. Based on the transaction structure code and the relevant jurisdictions, it dynamically generates or calls target judicial modification factors. Judicial modification factors do not change the core calculation steps of the cost calculation area, but rather, based on the preliminary cost results, perform legality judgments, tax attribute markings, and trigger corresponding system action instructions (including financial or customs declaration action instructions).

[0108] It should be noted that the beneficial effects of the trade data processing system 200 based on transaction structure coding and computation area mapping provided in the above embodiments are the same as those of the trade data processing method based on transaction structure coding and computation area mapping described above, and will not be repeated here. Furthermore, the system provided in the above embodiments is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the system can be divided into different functional modules according to the actual situation to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiments belong to the same concept, and their specific implementation process is detailed in the method embodiments, and will not be repeated here.

[0109] An electronic device according to an embodiment of the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements any of the above-mentioned trade data processing methods based on transaction structure encoding and computation area mapping.

[0110] An embodiment of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements any of the above-mentioned trade data processing methods based on transaction structure encoding and computation area mapping.

[0111] The above description is merely a preferred embodiment of the present invention and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of disclosure in this invention is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-disclosed concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features with similar functions disclosed in this invention.

[0112] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A trade data processing method based on transaction structure encoding and computation area mapping, characterized in that, include: The set of basic parameters for receiving transactions; According to preset internal logic rules, the set of basic parameters of the transaction is converted into a unique transaction structure code; Determine the target cost calculation area corresponding to the input price terms; Based on the transaction structure code, the target jurisdiction corresponding to the transaction is determined, and the target jurisdiction modification factor corresponding to the target jurisdiction is obtained; Execute the predefined standard calculation process in the target cost calculation area to generate preliminary cost results; The preliminary cost results are interpreted and adjusted for compliance using the target judicial modification factors, and the final cost calculation results, along with the corresponding compliance status and system action instructions, are output.

2. The trade data processing method based on transaction structure encoding and computation area mapping according to claim 1, characterized in that, According to preset internal logic rules, the basic parameter set of the transaction is converted into a unique transaction structure code, including: By utilizing internal logic rules that are encapsulated as a black box and are not configurable, the combination relationships of various parameters in the basic parameter set of the transaction are processed to generate a unique code as the transaction structure code.

3. The trade data processing method based on transaction structure encoding and computation area mapping according to claim 1, characterized in that, Determine the target cost calculation area corresponding to the input price terms, including: The query includes a price clause-calculation area mapping table that shows the many-to-one mapping relationship between external price clauses and predefined cost calculation areas; the target cost calculation area corresponding to the input price clause is determined through the price clause-calculation area mapping table. Each of the cost calculation areas has independently predefined standardized cost calculation steps and formulas.

4. The trade data processing method based on transaction structure encoding and computation area mapping according to claim 1, characterized in that, Based on the transaction structure code, the target jurisdiction corresponding to the transaction is determined, and the target jurisdiction modification factor corresponding to the target jurisdiction is obtained, including: The identifier of the target jurisdiction corresponding to the transaction is parsed from the transaction structure code; Based on the identifier of the target jurisdiction, the target jurisdiction modification factor is dynamically invoked or generated.

5. The trade data processing method based on transaction structure encoding and computation area mapping according to claim 1, characterized in that, Execute the predefined standard calculation process in the target cost calculation area to generate preliminary cost results, including: A series of sequential and logically consistent cost calculation steps and formulas predefined by the target cost calculation area are executed to generate the preliminary cost result corresponding to the input price terms.

6. The trade data processing method based on transaction structure encoding and computation area mapping according to claim 1, characterized in that, The preliminary cost results are interpreted and adjusted for compliance using the target judicial modification factors, and the final cost calculation results, along with the corresponding compliance status and system action instructions, are output, including: The legality and tax attributes of the preliminary cost results are determined using the target judicial modification factors. Based on the results of the legality assessment and the tax attribute marking, the final cost calculation result and the corresponding compliance status description are generated. Based on the generated compliance status description, the system will trigger corresponding financial or customs declaration action instructions.

7. A trade data processing method based on transaction structure encoding and computation area mapping according to any one of claims 1 to 6, characterized in that, The basic parameters of the transaction include the seller's location, the buyer's location, the place of origin of the goods, the place of final delivery of the goods, and the party responsible for customs clearance.

8. A trade data processing system based on transaction structure encoding and computation area mapping, characterized in that, It includes a data receiving module, a conversion module, a first determining module, a second determining module, a generation module, and an output module; The data receiving module is used to: receive a set of basic parameters for a transaction; The conversion module is used to: convert the basic parameter set of the transaction into a unique transaction structure code according to preset internal logic rules; The first determining module is used to: determine the target cost calculation area corresponding to the input price terms; The second determining module is used to: determine the target jurisdiction corresponding to the transaction based on the transaction structure code, and obtain the target judicial modification factor corresponding to the target jurisdiction; The generation module is used to: execute the predefined standard calculation process in the target cost calculation area to generate preliminary cost results; The output module is used to: interpret and adjust the preliminary cost results for compliance using the target judicial modification factor, and output the final cost calculation result and the corresponding compliance status and system action instructions.

9. An electronic device, characterized in that, The invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the trade data processing method based on transaction structure encoding and computation area mapping as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the trade data processing method based on transaction structure encoding and computation area mapping as described in any one of claims 1 to 7.

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