Cooperative processing method and system for freight forwarding service data

Abstract

The application discloses a kind of freight forwarding service data's collaborative processing method and system, the method includes: receiving service request by data acquisition module, parsing and generating internal service data object containing unique service tracking identifier;Internal service data object is stored to central database, and based on unique service tracking identifier, subsequent generated expense data object and certificate data object are associated;Through event-driven architecture, business state change event is listened to, and preset business rule is triggered to rule engine execution;Wherein, rule engine controls the access authority of associated certificate data object by finite state machine.The application solves the problem that traditional freight forwarding system data model is independent of each other, heterogeneous system interaction cost is high and state synchronization delay, realizes the efficient association of multi-source data, the automatic execution and rigid risk control of business rule, significantly improves data processing efficiency and system security.

Description

Technical Field

[0001] This invention relates to the field of computer data processing technology, and in particular to a collaborative processing method and system for collecting, transforming, associating, and synchronizing the status of multi-source heterogeneous freight forwarding business data in a distributed network environment. Background Technology

[0002] In the international freight forwarding industry, the export transportation of a single shipment typically involves more than ten steps, including customer development, price inquiry and quotation, booking, trucking, customs declaration, fee settlement, and bill of lading management. This requires the collaboration of personnel from multiple positions, such as business, commerce, operations, and finance.

[0003] Currently, existing freight forwarding business management systems mainly suffer from the following technical problems: First, there are data silos and inconsistent models. The data models of various functional modules in the existing system (such as orders, waybills, fees, and documents) are independent of each other, lacking a unified data association identifier that runs through the entire business lifecycle. This leads to data redundancy and inconsistency at different stages of the same business, requiring complex data transformation and cleaning between systems, which severely reduces processing efficiency.

[0004] Secondly, interaction with heterogeneous systems is difficult. Freight forwarding companies need to exchange data with multiple external heterogeneous systems such as shipping companies, customs, and trucking companies. Due to the lack of uniformity in the interface protocols (such as EDI and API) and data formats (such as EDIFACT, XML, and JSON) of these systems, data conversion costs are high, real-time performance is poor, and it is difficult to achieve automated business process control.

[0005] Finally, there are delays and vulnerabilities in status synchronization and access control. When critical business status changes occur (e.g., after expense reimbursement), traditional systems lack an efficient and reliable technical mechanism to trigger real-time access control updates for downstream modules (e.g., bill of lading release). This not only leads to time lags in business processes but can also cause data conflicts or security vulnerabilities in high-concurrency scenarios. For example, the financial payment status may be updated, but the bill of lading release permission may not be unlocked synchronously or the unlocking information may be delayed, increasing the risk of releasing the bill of lading before payment is received.

[0006] Therefore, it is necessary to provide a collaborative processing method and system for freight forwarding business data to overcome the above-mentioned shortcomings. Summary of the Invention

[0007] The purpose of this invention is to provide a collaborative processing method and system for freight forwarding business data, aiming to solve the problems of data silos, difficulties in interaction between heterogeneous systems, and delays in state synchronization in existing freight forwarding process management technologies, and to achieve efficient association of multi-source data, low-coupling interaction with external systems, and strong consistency control of core business states.

[0008] To achieve the above objectives, a first aspect of the present invention provides a collaborative processing method for freight forwarding business data, comprising the following steps: The data acquisition module receives business requests and parses them to generate internal business data objects containing unique business tracking identifiers. The internal business data objects are stored in the central database, and the subsequently generated expense data objects and document data objects are associated with the unique business tracking identifier. Through an event-driven architecture, listen for business state change events and trigger the rule engine to execute preset business rules; The rule engine generates a status change instruction after executing the expense reimbursement rule, and controls the access permissions of the associated document data objects through a finite state machine.

[0009] In a preferred embodiment, the step of receiving a service request through the data acquisition module and parsing it to generate an internal service data object containing a unique service tracking identifier includes: Configure the system's basic data dictionary, unify data standards, and maintain interface information and authentication credentials for external heterogeneous systems; Establish a multi-level role-based access control model to restrict access and modification permissions for the internal business data objects, expense data objects, and document data objects based on roles; wherein the roles include system administrator, business specialist, commercial specialist, operations specialist, and finance specialist.

[0010] In a preferred embodiment, the step of receiving business requests through the data acquisition module and parsing to generate an internal business data object containing a unique business tracking identifier further includes: the data acquisition module responding to the input from the business end by calling an optical character recognition (OCR) engine and a natural language processing (NLP) model to parse unstructured data in customer entrustment documents, emails, or images, automatically extracting the port of departure, port of destination, cargo name, weight, volume, and dispatch information, and mapping them to the corresponding fields of the internal business data object, and completing the creation and information filling of the internal business data object within a predetermined time.

[0011] In a preferred embodiment, the method further includes a step of intelligent execution and state synchronization based on the internal business data object, which includes: The booking information in the internal business data object is assembled into an electronic message and sent to the shipping company interface or a third-party logistics data platform through a preset third-party service interface. Receive and parse the booking confirmation message returned by the shipping company's interface, automatically extract the booking number, vessel name and voyage number, customs clearance time and VGM deadline fields, and update the order status to "booked". Tasks are dispatched to trailer suppliers through the trailer management interface, and container number, seal number and loading status are received and recorded. Synchronize customs declaration receipts through the customs declaration management interface and update the customs clearance status.

[0012] In a preferred embodiment, the method further includes an intelligent processing flow for bill of lading replenishment, which includes: By connecting to the unified interface of the third-party service interface, the consignee, notify party, goods name and gross weight data in the internal business data object are extracted, and the bill of lading supplementary information sheet is automatically generated. Perform compliance verification on VGM data and block abnormal data with weight errors exceeding a preset threshold; Within the order cut-off time threshold, submit supplementary materials and VGM data to the shipping company's system with one click and receive a confirmation receipt.

[0013] In a preferred embodiment, the step of associating subsequently generated cost data objects based on the unique business tracking identifier includes: Obtain the expense item template associated with the internal business data object; Use OCR technology to identify and import monetary data from supplier invoices or expense files, and populate the corresponding expense data object fields. It automatically calculates the profit and gross profit margin per transaction and generates standardized electronic statements that include business tracking identifiers, expense details, currency, and receiving account.

[0014] In a preferred embodiment, after executing the expense reimbursement rules, the rule engine generates a state change instruction, and the step of controlling the access permissions of the associated document data objects through a finite state machine includes: Real-time monitoring of the payment and reconciliation status of the expense data object associated with the document data object, and establishment of a logical interlock between the order release permission of the document data object and the settlement status of the expense data object; The rule engine generates an unlocking command only when it detects that all associated accounts receivable data objects have been written off and there are no overdue payments. The finite state machine then changes the status of the document data object from "pending release" to "available for release". In response to a release order command in the "releaseable" state on the operating terminal, execute the processing procedure for telex release, original bill of lading or ocean bill of lading, and generate a release operation log.

[0015] In a preferred embodiment, the method further includes the step of: Intelligent monitoring and anomaly warning: Through the event-driven architecture, preset time thresholds are set for the status of each node in the entire process; when the stay time of the order status at the booking, trucking, customs declaration, payment collection or order release node exceeds the corresponding time threshold, the system will trigger an alarm and generate an overdue task list, which will be pushed to the corresponding authorized job terminal.

[0016] In a preferred embodiment, the method further includes a data archiving and querying step, which includes: In response to the checkout instruction, the associated customer files, internal business data object details, business operation logs, associated expense data objects, payment and receipt vouchers and document data objects are logically packaged into an immutable data snapshot. The data snapshots are stored in the archive database, and a multi-dimensional index is created based on business tracking identifiers, customer names, ports of departure, ports of destination, and time ranges. Provides read-only query and export interfaces for archived data, and restricts editing permissions for closed data.

[0017] A second aspect of the present invention provides a collaborative processing system for freight forwarding business data, comprising: The initialization configuration module is used to configure basic system data, connect to third-party service interfaces, and establish a multi-level role-based operation permission system. The data acquisition and parsing module is used to receive business requests, parse unstructured data through an optical character recognition (OCR) engine and a natural language processing (NLP) model, and generate internal business data objects containing unique business tracking identifiers. The central processing engine is used to store the internal business data objects in the central database and associate them with the subsequently generated expense data objects and document data objects based on the unique business tracking identifier. The event-driven and rule engine module is used to listen for business state change events and trigger the rule engine to execute preset business rules. The state machine control module is used to receive state change instructions after the rule engine executes the expense reimbursement rules, and to control the access permissions of associated document data objects through a finite state machine.

[0018] A third aspect of the present invention provides a terminal, the terminal including a memory, a processor, and a computer program stored in the memory, wherein the computer program, when executed by the processor, implements the various steps of the collaborative processing method for freight forwarding business data as described in any of the above embodiments.

[0019] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the collaborative processing method for freight forwarding business data as described in any of the above embodiments.

[0020] The collaborative processing method and system for freight forwarding business data provided by this invention, on the one hand, breaks down data silos between modules and solves the technical problems of inconsistency and redundancy of multi-source data by defining a unified internal business data object and generating a globally unique business tracking identifier; on the other hand, it realizes real-time monitoring and automated processing of business state changes through an event-driven architecture and rule engine; finally, by combining mechanisms such as finite state machines and distributed locks, it ensures strong consistency and reliability of core risk control logic such as "payment clearing and order release" in high-concurrency scenarios. This method significantly improves the data processing efficiency, automation level, and system security of freight forwarding business systems. Attached Figure Description

[0021] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 A schematic diagram of the logical architecture of the collaborative processing system for freight forwarding business data provided by the present invention; Figure 2 The flowchart illustrates the collaborative processing method for freight forwarding business data provided by this invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and beneficial effects of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described in this specification are merely for explaining the invention and are not intended to limit the invention.

[0024] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0025] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0026] In an embodiment of the present invention, a collaborative processing system for freight forwarding business data is provided, which is used to implement the method described in the present invention.

[0027] like Figure 1 As shown, the collaborative processing system 100 for freight forwarding business data (hereinafter referred to as "this system") includes: The initialization configuration module 10 is used to configure basic system data, connect to third-party heterogeneous system interfaces, establish a multi-level role operation permission system, and define a unified internal business object (IBO) model structure. The data acquisition and parsing module 20 is used to receive business requests, parse unstructured data through an optical character recognition (OCR) engine and a natural language processing (NLP) model, and generate an internal business data object containing a unique business tracking identifier. The central processing engine 30 is used to store the internal business data objects in the central database and associate them with the subsequently generated expense data objects and document data objects based on the unique business tracking identifier. The event-driven and rule engine module 40 is used to listen for business status change events and trigger the rule engine to execute business rules such as cost calculation and risk control judgment. The state machine control module 50 is used to receive a state change instruction after the rule engine executes the expense reimbursement rule, and to control the access permissions of the associated document data object through a finite state machine. The closing and archiving module 60 is used to perform snapshot packaging and archiving of the entire process data when the business is completed.

[0028] It should be noted that the modules of this system exchange data through preset internal APIs or message queues, and can be deployed independently using a microservice architecture.

[0029] Furthermore, the present invention stores a computer-readable storage medium that implements the procedures for each step of the method. The terminal can be deployed on a public cloud server cluster, or on a private data center within an enterprise, or in a hybrid deployment mode that combines cloud and local nodes. The deployment form does not affect the implementation of the core functions of the present invention.

[0030] like Figure 2 As shown, the collaborative processing method for freight forwarding business data (hereinafter referred to as this method) includes steps S10-S60. Each step is implemented based on the corresponding functional module.

[0031] Step S10: Initialize configuration and data modeling.

[0032] Specifically, before business operations can commence, an account with system administrator privileges must log in to the system and access the initialization configuration module 10.

[0033] First, a basic data dictionary needs to be configured to unify data standards across the entire platform. For example, under the "Basic Information" menu, administrators need to maintain port codes, container types and quantities, currency exchange rates, and commonly used fee items one by one.

[0034] Secondly, to enable automatic data exchange with external heterogeneous systems, administrators need to maintain and test the integration information of third-party service interfaces within the system. These interfaces include at least: shipping company interfaces, trucking management interfaces, and customs declaration management interfaces. Configuration details include the supplier system's access URL (Uniform Resource Locator), authentication keys (API Key / Token), and agreed-upon data exchange protocols.

[0035] Furthermore, this system implements strict multi-level role-based access control. Administrators need to establish a multi-level role-based access control model, including system administrators, business specialists, commercial specialists, operations specialists, and financial specialists. This access control model can be implemented based on the RBAC mechanism.

[0036] Finally, in this step, the system defines an internal business data object model that will be used uniformly in subsequent processes. This model specifies the attributes and structure of core business data, laying the foundation for eliminating data silos.

[0037] Step S20: Data Acquisition and Object Generation.

[0038] In this embodiment, the business specialist receives a client's order form (PDF or image format) via email and accesses the "Business Center" - "Quick Order Entry" function. This system integrates Optical Character Recognition (OCR) technology with a Natural Language Processing (NLP) model. After the order form file is uploaded, the OCR engine analyzes the document layout and identifies the text content; subsequently, the NLP model understands the semantics of the text, automatically extracts key entities, and maps them to the corresponding fields of the system's internal business data objects.

[0039] Specifically, the NLP model can automatically parse out: port of origin, port of destination, cargo name, gross weight, volume, consignee information, and notify party information. After mapping, the system will create an IBO containing a globally unique business tracking identifier within a preset time. This identifier will serve as the primary key for all subsequent related data objects, ensuring data consistency.

[0040] Step S30: Intelligent execution and state synchronization.

[0041] Once the IBO generated by the business specialist is approved, it is transferred to the business specialist. The business specialist then uses the central processing engine 30 to execute this step. Its sub-processes specifically include steps S31-S33.

[0042] Step S31, Smart Booking and Release: After the business specialist confirms the information on the IBO is correct, they click "Submit Booking". The system backend responds to this command by assembling the booking information from the IBO into an electronic message approved by the shipping company through the connected shipping company interface, and automatically sends it to the shipping company's system. After the shipping company completes processing, it returns a booking confirmation message. The system receives and parses this message, automatically extracting key fields such as booking number, vessel name and voyage number, and cut-off time, and updates the associated status data object to "Release".

[0043] Step S32, Trucking and Customs Management: After the container is released, the operations specialist enters the system, dispatches tasks to the trucking supplier system through a standardized data interface, and receives the container number, seal number, and loading status, updating the corresponding data objects. Simultaneously, the specialist synchronizes customs declaration information with the customs broker system through the interface, receives and parses the customs declaration receipt, and updates the customs declaration status data objects.

[0044] Step S33, Intelligent Processing of Bill of Lading Supplementation: The operator enters the bill of lading management interface. The system automatically extracts data from the verified IBO through the interface of the connected third-party service platform and assembles it into a bill of lading supplementation data object. In particular, for VGM (Verified Gross Mass) data, the system has a built-in compliance verification engine. This engine verifies the data according to preset rules. Once abnormal data is detected, the system will automatically intercept and issue an alarm. After the verification is passed, the operator can submit the data object with one click.

[0045] Therefore, this step eliminates "information silos" and "operation breakpoints" by exchanging data with multiple external system interfaces, and achieves state synchronization.

[0046] Step S40: Automatic collection and calculation of costs.

[0047] Once the cargo has been shipped, the business enters the financial settlement phase. The finance specialist uses the event-driven and rules engine module 40 to execute this step.

[0048] Specifically, once a booking confirmation event occurs, the rules engine is triggered and automatically generates accounts receivable and payable expense data objects indexed by business tracking identifiers, based on preset expense item templates. For invoices provided by suppliers, finance specialists can also use integrated OCR technology to scan and recognize them, and the recognized amounts will be automatically filled into the corresponding expense data objects.

[0049] In this embodiment, the central processing engine 30 uses the unique identifier of the IBO as the aggregation key to aggregate all receivable and payable expense data records under this transaction in real time, and quickly calculates the gross profit per transaction through in-memory computation. After the calculation is completed, the system automatically generates a standardized electronic statement of account, which can be pushed via email interface.

[0050] It is evident that this step, through event-driven and rule-based mechanisms, automates and enables real-time cost accounting.

[0051] Step S50: Status synchronization and risk control.

[0052] Specifically, during the customer payment phase, this step is executed by the state machine control module 50.

[0053] Specifically, the system backend can monitor the "receipt verification" status of expense data objects in real time and establish a strict logical interlocking mechanism. Each bill of lading data object maintains a finite state machine containing states such as "pending release," "available for release," and "released." The state machine's transition rule is: only when the rule engine detects that all associated accounts receivable objects are in the "verified" state will an unlocking command be generated, allowing the state machine to change the bill of lading object's status from "pending release" to "available for release."

[0054] Therefore, any attempt by any role to perform an order placement operation on the interface before the conditions are met will be blocked by the system. The state machine automatically unlocks after the finance specialist completes the reconciliation. Only then can the operations specialist select the order placement method and execute the order placement.

[0055] It is important to note that by using the technical hard constraints of finite state machines and rule engines to enforce the "payment clearing and order release" rule, the strong consistency of risk control logic is guaranteed from the root.

[0056] Step S60: Closing and archiving.

[0057] Once the goods are successfully delivered and all fees are settled, the operations specialist verifies the settlement conditions and executes this step using the settlement archiving module 60.

[0058] Specifically, after the system executes the order closing operation, all modification permissions for that order are disabled, leaving it in read-only mode. The system automatically triggers the data archiving process: all data objects associated with this IBO are logically packaged, generating an immutable data snapshot, and then transferred to the archive database.

[0059] Furthermore, in the archived database, the system has established multidimensional indexes for data snapshots, enabling users to quickly retrieve data using business tracking identifiers, customer names, and other criteria.

[0060] Furthermore, this system and method also include intelligent monitoring and anomaly warning functions based on an event-driven architecture.

[0061] Specifically, the system's built-in monitoring engine subscribes to state change events of each node and presets time thresholds for critical states. When the state of any node expires, the monitoring engine triggers an alert event and pushes a list of overdue tasks through the message middleware.

[0062] It is understood that the above embodiments are merely preferred examples illustrating the technical solutions of the present invention and do not constitute a limitation on the scope of protection of the present invention. Under the design concept of the present invention, those skilled in the art can make various adjustments and substitutions.

[0063] For example, regarding OCR technology, besides parsing invoices and bills, it can also be used to recognize other document information. Regarding the selection of the AI ​​(Artificial Intelligence) model, it can be a deep learning model or a rule-based template method. Regarding the interface communication protocol, in addition to EDI (Electronic Data Interchange) and API (Application Programming Interface), the system can also support simulating manual sending and receiving via email gateway. Regarding threshold settings, besides fixed values, the system can also provide dynamic threshold suggestions based on historical data statistical analysis.

[0064] Furthermore, the division of modules within the system is for the purpose of clearly illustrating the functional logic. In actual software development, these modules can be merged, split, or deployed independently as microservices. As long as the overall process of their collaborative execution includes all the steps defined in the independent claim of the method item of this invention, they fall within the scope of protection claimed by this invention.

[0065] In summary, this invention successfully upgrades the fragmented and disjointed freight forwarding data processing model into an integrated, event-driven, intelligent collaborative processing model. It has achieved groundbreaking and beneficial effects, particularly in eliminating data silos, improving the interaction efficiency of heterogeneous systems, and realizing strong consistency control of core business status, and has extremely high industrial application value.

[0066] Therefore, through the organic synergy among the above steps, on the one hand, it solves the technical problems of inconsistency and redundancy of multi-source data by using a unified data object model and globally unique identifiers; on the other hand, by combining event-driven architecture, rule engine and finite state machine, it realizes the automated driving of business processes and the rigid control of core risk operations, thereby improving system processing efficiency and data security.

[0067] Those skilled in the art will understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the functions described above can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this invention. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0068] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0069] Those skilled in the art will recognize that the units and method steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0070] In the embodiments provided by this invention, it should be understood that the disclosed systems, devices / terminal equipment, and methods can be implemented in other ways. For example, the system or device / terminal equipment embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection of systems or units may be electrical, mechanical, or other forms.

[0071] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0072] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0073] The present invention is not limited to the description in the specification and embodiments, and thus other advantages and modifications can be readily realized by those skilled in the art. Therefore, the present invention is not limited to the specific details, representative devices and illustrated examples shown and described herein without departing from the spirit and scope of the general concept as defined by the claims and their equivalents.

Claims

1. A collaborative processing method for freight forwarding business data, characterized in that, Includes the following steps: The data acquisition module receives business requests and parses them to generate internal business data objects containing unique business tracking identifiers. The internal business data objects are stored in the central database, and the subsequently generated expense data objects and document data objects are associated with the unique business tracking identifier. Through an event-driven architecture, listen for business state change events and trigger the rule engine to execute preset business rules; The rule engine generates a status change instruction after executing the expense reimbursement rule, and controls the access permissions of the associated document data objects through a finite state machine.

2. The collaborative processing method for freight forwarding business data as described in claim 1, characterized in that, The step of receiving business requests through the data acquisition module and parsing them to generate an internal business data object containing a unique business tracking identifier includes: Configure the system's basic data dictionary, unify data standards, and maintain interface information and authentication credentials for external heterogeneous systems; Establish a multi-level role-based access control model to restrict access and modification permissions for the internal business data objects, expense data objects, and document data objects based on roles; wherein the roles include system administrator, business specialist, commercial specialist, operations specialist, and finance specialist.

3. The collaborative processing method for freight forwarding business data as described in claim 1, characterized in that, The step of receiving business requests through the data acquisition module and parsing to generate an internal business data object containing a unique business tracking identifier further includes: the data acquisition module responding to the input from the business end calls the optical character recognition (OCR) engine and the natural language processing (NLP) model to parse unstructured data in customer entrustment documents, emails, or pictures, automatically extracts the port of departure, port of destination, cargo name, weight, volume, and receipt / dispatch information, and maps them to the corresponding fields of the internal business data object, completing the creation and information filling of the internal business data object within a predetermined time.

4. The collaborative processing method for freight forwarding business data as described in claim 1, characterized in that, It also includes a step of intelligent execution and state synchronization based on the internal business data object, which includes: The booking information in the internal business data object is assembled into an electronic message and sent to the shipping company interface or a third-party logistics data platform through a preset third-party service interface. Receive and parse the booking confirmation message returned by the shipping company's interface, automatically extract the booking number, vessel name and voyage number, customs clearance time and VGM deadline fields, and update the order status to "booked". Tasks are dispatched to trailer suppliers through the trailer management interface, and container number, seal number and loading status are received and recorded. Synchronize customs declaration receipts through the customs declaration management interface and update the customs clearance status.

5. The collaborative processing method for freight forwarding business data as described in claim 4, characterized in that, It also includes an intelligent processing flow for bill of lading replenishment, which includes: By connecting to the unified interface of the third-party service interface, the consignee, notify party, goods name and gross weight data in the internal business data object are extracted, and the bill of lading supplementary information sheet is automatically generated. Perform compliance verification on VGM data and block abnormal data with weight errors exceeding a preset threshold; Within the order cut-off time threshold, submit supplementary materials and VGM data to the shipping company's system with one click and receive a confirmation receipt.

6. The collaborative processing method for freight forwarding business data as described in claim 1, characterized in that, The step of associating subsequently generated cost data objects based on the unique business tracking identifier includes: Obtain the expense item template associated with the internal business data object; Use OCR technology to identify and import monetary data from supplier invoices or expense files, and populate the corresponding expense data object fields. It automatically calculates the profit and gross profit margin per transaction and generates standardized electronic statements that include business tracking identifiers, expense details, currency, and receiving account.

7. The collaborative processing method for freight forwarding business data as described in claim 1, characterized in that, After executing the expense reimbursement rules, the rule engine generates a state change instruction and controls the access permissions of associated document data objects through a finite state machine. The steps include: Real-time monitoring of the payment and reconciliation status of the expense data object associated with the document data object, and establishment of a logical interlock between the order release permission of the document data object and the settlement status of the expense data object; The rule engine generates an unlocking command only when it detects that all associated accounts receivable data objects have been written off and there are no overdue payments. The finite state machine then changes the status of the document data object from "pending release" to "available for release". In response to a release order command in the "releaseable" state on the operating terminal, execute the processing procedure for telex release, original bill of lading or ocean bill of lading, and generate a release operation log.

8. The collaborative processing method for freight forwarding business data as described in claim 1, characterized in that, It also includes the following steps: Intelligent monitoring and anomaly warning: Through the event-driven architecture, preset time thresholds are set for the status of each node in the entire process; when the stay time of the order status at the booking, trucking, customs declaration, payment collection or order release node exceeds the corresponding time threshold, the system will trigger an alarm and generate an overdue task list, which will be pushed to the corresponding authorized job terminal.

9. The collaborative processing method for freight forwarding business data as described in claim 1, characterized in that, It also includes the steps of data archiving and retrieval, which include: In response to the checkout instruction, the associated customer files, internal business data object details, business operation logs, associated expense data objects, payment and receipt vouchers and document data objects are logically packaged into an immutable data snapshot. The data snapshots are stored in the archive database, and a multi-dimensional index is created based on business tracking identifiers, customer names, ports of departure, ports of destination, and time ranges. Provides read-only query and export interfaces for archived data, and restricts editing permissions for closed data.

10. A collaborative processing system for freight forwarding business data, characterized in that, include: The initialization configuration module is used to configure basic system data, connect to third-party service interfaces, and establish a multi-level role-based operation permission system. The data acquisition and parsing module is used to receive business requests, parse unstructured data through an optical character recognition (OCR) engine and a natural language processing (NLP) model, and generate internal business data objects containing unique business tracking identifiers. The central processing engine is used to store the internal business data objects in the central database and associate them with the subsequently generated expense data objects and document data objects based on the unique business tracking identifier. The event-driven and rule engine module is used to listen for business state change events and trigger the rule engine to execute preset business rules. The state machine control module is used to receive state change instructions after the rule engine executes the expense reimbursement rules, and to control the access permissions of associated document data objects through a finite state machine.

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