Cross-border logistics link optimization management method and system based on multi-source data fusion

Abstract

The invention discloses a cross-border logistics link optimization management method and system based on multi-source data fusion, and the system specifically comprises a port unit, a warehouse unit and a comprehensive management platform, and obtains a warehouse-to-port link, a port-to-port link and a port-to-warehouse link according to each transportation stage of logistics. The comprehensive management platform analyzes the matching degree of the port unit and the warehouse unit, performs data collection processing on the three links, performs information collection according to the transfer process of logistics commodities, analyzes and deduces the transportation demand satisfaction condition of actual commodities according to the collected data, and performs data collection processing on the port unit and the warehouse unit when entering the link from the warehouse to the port. The method comprises the following steps: performing progress inspection, entering a port-to-port link after commodities are transported to a port, detecting a commodity logistics transportation route between ports during the port-to-port link, performing process detection and analysis according to transportation data in the transportation route, and entering a port-to-warehouse link after threshold comparison is qualified.

Description

Technical Field

[0001] This invention relates to the field of logistics information management technology, specifically to a method and system for optimizing cross-border logistics processes based on multi-source data fusion. Background Technology

[0002] Cross-border logistics optimization refers to the use of information technology to collect, transmit, process, and share information in real time about all aspects of cross-border logistics activities, such as transportation, warehousing, distribution, packaging, and loading and unloading. This enables traceable and controllable management of the entire cross-border logistics process, improving operational efficiency, reducing costs, and increasing customer satisfaction.

[0003] For example, the patent with publication number CN118780729A involves a logistics optimization scheduling management method, which includes acquiring warehouse data, forming judgment data based on the warehouse data through a monitoring and comparison strategy to determine whether the goods need to be scheduled, forming analysis data based on the warehouse data and the judgment data through a data analysis strategy to take different scheduling methods according to different situations, and forming scheduling data based on the analysis data through a scheduling strategy to schedule the goods. This allows for real-time monitoring of the real-time inventory of each type of goods in each warehouse.

[0004] However, in the actual situation of existing technology, the following process defects still exist: such as the difficulty in detecting the transportation progress of port-to-port links during cross-border logistics transportation, making it impossible to guarantee the timeliness of transportation, and the inability to assess the warehouse operation of port-to-warehouse links during cross-border logistics transportation, which can easily cause the arrival of goods and warehouse operation to be affected, causing cross-border logistics transportation anomalies and making it impossible to efficiently allocate and transport the arrival of goods. Summary of the Invention

[0005] The purpose of this invention is to address the aforementioned problems by proposing a method and system for optimizing the management of cross-border logistics processes based on multi-source data fusion.

[0006] The objective of this invention can be achieved through the following technical solution: a cross-border logistics link optimization management system based on multi-source data fusion, specifically including port units, warehouse units, and a comprehensive management platform; Port units and warehouse units are structured into warehouse-to-port, port-to-port, and port-to-warehouse links based on commodity transportation. The integrated management platform analyzes the degree of cooperation between port units and warehouse units and collects and processes data from the three links. Upon entering the warehouse-to-port stage, the customs clearance progress is assessed. Once the progress assessment is satisfactory, the process awaits customs clearance execution and proceeds to the port-to-port stage. In the port-to-port stage, the logistics transportation of goods between ports is inspected. Once the inspection is satisfactory, the process awaits completion of the transportation progress and proceeds to the port-to-warehouse stage. In the port-to-warehouse stage, the overseas warehouse is inspected, and real-time management is implemented based on the overseas warehouse inspection results. This is then integrated with the port unit to determine the real-time logistics commodity types.

[0007] In a preferred embodiment of the present invention, after entering the port-to-port stage: Collect transportation environment parameters and corresponding demand environment parameters of the same type of transportation route location, and divide the real-time transportation location into safe transportation points and risk transportation points based on the comparison results; The progress completion bonus associated with the accelerated safe transport points and the progress completion reduction associated with the risky transport points are assigned labels S and M respectively. The speed impact ratio SM is calculated based on the comparison, i.e., SM=S / M. At the same time, the offset distance of the real-time transport route of the risk transport point and the increase in the value of the average operating speed of the adjacent safe transport point being lower than the average speed of the route setting are obtained. The values ​​of the collected data are assigned labels Y and X, and the offset influence coefficient YX is obtained by comparing the values, that is, YX=Y / X.

[0008] In a preferred embodiment of the present invention, if the speed influence ratio exceeds the speed quantity ratio threshold, or the offset influence ratio exceeds the distance speed ratio threshold, an abnormal signal is generated and sent to the integrated management platform; if the speed influence ratio does not exceed the speed quantity ratio threshold and the offset influence ratio does not exceed the distance speed ratio threshold, a normal signal is generated and sent to the integrated management platform.

[0009] In a preferred embodiment of the present invention, after entering the port-to-warehouse stage: The port-to-warehouse process is divided into several storage periods, and these storage periods are monitored. Collect commodity inbound and outbound data at various storage times within the port-to-warehouse process, and calculate the commodity inbound / outbound ratio based on the ratio. Simultaneously, based on the proportion of commodity inbound volume and outbound volume of the current storage time in the collected commodity inbound volume, compare the repeated increase span of the commodity inbound / outbound ratio of overseas warehouses with a set span threshold, and divide the real-time storage capacity of overseas warehouses into high-level inbound and high-level outbound stages.

[0010] In a preferred embodiment of the present invention, the deviation values ​​of the real-time warehouse inventory awaiting shipment corresponding to the high-level warehousing stage and the high-level warehousing stage are collected, as well as the ratio of the rate of increase of the inventory awaiting shipment during the high-level warehousing stage to the rate of decrease of the inventory awaiting shipment during the high-level warehousing stage. If the inventory deviation does not exceed the deviation threshold, or the speed ratio exceeds the speed ratio threshold, an inefficient warehouse operation signal is generated and sent to the integrated management platform. If the inventory deviation exceeds the deviation threshold, but the speed ratio does not exceed the speed ratio threshold, an efficient warehouse operation signal is generated and sent to the integrated management platform.

[0011] As a preferred embodiment of the present invention, the arrival and warehousing ratio at the real-time storage time is analyzed. If the warehouse is operating inefficiently and the inbound / outbound turnover ratio exceeds the turnover ratio threshold, the storage time and storage duration of the goods delivered in real time will be sent to the integrated management platform as real-time progress. After receiving the data, the integrated management platform will provide feedback on the real-time progress and plan and control the operation and scheduling of goods in the overseas warehouse, and also provide feedback to the port to control the real-time inbound / outbound volume. If the arrival-to-warehouse turnover ratio exceeds the turnover ratio threshold, the real-time delivery address of the goods will be noted and sent to the integrated management platform as real-time progress. After receiving the information, the integrated management platform will provide feedback on the real-time progress and also provide feedback to the port to control the delivery volume of goods with backlog in overseas warehouses.

[0012] As a preferred embodiment of the present invention, the warehouse is in a high-efficiency operation stage. If the inbound and outbound turnover ratio exceeds the turnover ratio threshold, the inbound and outbound of the goods arriving at the port in real time will be analyzed. If the real-time outbound volume is lower than the inbound volume, it is inferred that the goods arriving at the port are not suitable for the current transportation mode and the information is sent to the integrated management platform. The integrated management platform will then provide feedback to the port and change the transportation type. If the turnover ratio of goods arriving at the port and entering the warehouse does not exceed the turnover ratio threshold, it is inferred that the goods arriving at the port and entering the warehouse in the overseas warehouse are qualified for allocation. The real-time progress is fed back to the integrated management platform. After receiving the feedback, the integrated management platform binds the current product type and transportation method.

[0013] This invention also proposes an optimized management method for cross-border logistics processes based on multi-source data fusion, the specific process of which is as follows: The coordination between port units and warehouse units is analyzed, information is collected based on the transfer process of logistics goods, and the actual transportation demand of goods is inferred based on the collected data. Upon entering the warehouse-to-port stage, progress checks are performed. After the goods are transported to the port, the process moves to the port-to-port stage. During the port-to-port stage, the logistics transportation routes between ports are monitored, and process monitoring and analysis are conducted based on the transportation data within the routes. After passing threshold comparisons, the process moves to the port-to-warehouse stage. During the port-to-warehouse stage, the storage capacity of overseas warehouses is analyzed, real-time inventory is monitored, and adjustments are made to the types of goods transported in the logistics.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: It analyzes the degree of coordination between port units and warehouse units, and infers whether the logistics transportation between the current port units and warehouse units is suitable through the degree of coordination analysis. This avoids the situation where the current goods operation is qualified but cannot withstand the fluctuation of goods volume, so that the port's operating efficiency and warehouse allocation efficiency are affected by the fluctuation of goods volume. It also ensures the real-time monitoring of logistics and the ability to make real-time adjustments to logistics according to management. This avoids the delay caused by the blockage in the logistics transportation stage. At the same time, it manages each stage of the three links, monitors them in sequence according to the stage order, and closes the loop with each stage to ensure the control of logistics information and ensure the efficiency of logistics transportation. Attached Figure Description

[0015] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0016] Figure 1 This is a principle block diagram of Embodiment 1 of the present invention; Figure 2 This is a principle block diagram of Embodiment 2 of the present invention; Figure 3 This is a flowchart of the method of the present invention. Detailed Implementation

[0017] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Example 1: Please refer to Figure 1 As shown, the cross-border logistics link optimization management system based on multi-source data fusion specifically includes port units, warehouse units, and a comprehensive management platform; The port unit is the data collection terminal for logistics ports, used to collect and analyze port data in real time, such as the volume of goods to be imported and exported. The warehouse unit is the data collection terminal for overseas warehouses required for logistics, used to collect and analyze overseas warehouse data in real time, such as the operational status of overseas warehouses. The integrated management platform is used to manage all aspects of logistics.

[0019] Example 2: Please refer to Figure 2 As shown, the integrated management platform is connected to the port unit and the warehouse unit. The port unit and the warehouse unit are constructed according to the commodity transportation process, including warehouse to port, port to port, and port to warehouse links. After the port unit and warehouse unit carry out mutual transportation and establish three links, when the integrated management platform manages the three links, it analyzes the degree of cooperation between the port unit and warehouse unit, infers whether the current logistics transportation between the port unit and warehouse unit is suitable, and avoids the current goods operation being qualified but unable to withstand the fluctuation of goods volume, so that the port's operating efficiency and warehouse allocation efficiency are affected by the fluctuation of goods volume, which cannot guarantee the real-time monitoring of logistics and cannot make real-time adjustments to logistics according to management, and avoids the delay caused by the blockage in the logistics transportation stage. Based on the logistics and commodity operation process, there are two stages: the volume increase stage and the volume stabilization stage. The volume stabilization stage means that the volume increase or decrease is within a set range, while the volume decrease stage means that the logistics impact trend is decreasing, which is not considered at present. During the logistics and goods transportation phase, the peak value of the real-time goods waiting to be transferred is continuously increased within the phase of increasing volume. It should be explained that the continuous increase range is calculated based on the fluctuation of the real-time goods waiting to be transferred peak value at various times. At the same time, the transfer rate of goods entering the port during the volume stabilization phase is collected, and the transfer rate is expressed as the ratio of the real-time transfer volume of goods at the port to the real-time transfer buffer time. The range of sustained increase in the peak real-time accumulation of goods awaiting transfer during the volume increase phase, and the range of decrease in the transfer rate of goods entering the port during the volume stabilization phase, are compared with the thresholds for sustained increase and decrease in transfer rate, respectively: If the peak increase in real-time goods waiting to be transferred exceeds the threshold for continuous increase during the volume increase phase, or if the decrease in the transfer rate of goods entering the port exceeds the threshold for decrease in transfer rate during the volume stabilization phase, it is inferred that the ports and overseas warehouses covered by the integrated management platform are not compatible during the transportation phase. The real-time transportation volume of the ports and overseas warehouses will be restricted according to the working conditions, and the real-time transportation volume will be adjusted according to the real-time port operation pressure and warehouse allocation pressure. If the peak increase in real-time pending goods accumulation during the volume increase phase does not exceed the continuous increase range threshold, and the decrease in the transfer rate of goods entering the port during the volume stabilization phase does not exceed the transfer rate decrease range threshold, then it is inferred that the ports and overseas warehouses covered by the integrated management platform are compatible during the transportation phase, and the integrated management platform conducts real-time monitoring.

[0020] Example 3: Based on the previous example, this example manages each stage of the three links to facilitate sequential monitoring according to the stage order and ensure the control of logistics information and the efficiency of logistics transportation through stage closure. From warehouse to port; The system collects the customs clearance progress data after goods enter the port from the warehouse, obtains the materials required for the customs clearance process of the goods to be transported, and marks the upload time of the required materials for each process and the receipt time of the required materials by the system to obtain the real-time progress of the goods to be transported and sends it to the integrated management platform in a timely manner. The review period progress assessment is satisfactory, and the customs clearance process is awaited before entering the port-to-port stage; After entering the port-to-port stage, the logistics transportation of goods between ports is inspected; During logistics transportation, the product type is matched with the corresponding transportation method, which takes into account the unaffected storage time of each type of product and the timeliness of the transportation method. The unaffected storage time means that the product will not deteriorate or be damaged during the current transportation stage. After the matching is completed, the operating status of each type of transportation mode is detected, such as the braking control distance and speed control parameters of the transportation vehicle. Once the operating status is confirmed to be normal, the real-time delivery position is sent to the integrated management platform as the real-time delivery progress. Real-time transportation is monitored, and transportation environment parameters of the same type of transportation route location and the corresponding demand environment parameters of the transportation mode are collected. Based on the comparison results, the real-time transportation location is divided into safe transportation points and risky transportation points. The transportation environment parameters are represented by parameters such as visibility and wind force. The progress completion bonus associated with the accelerated safe transport points and the progress completion reduction associated with the risky transport points are assigned labels S and M respectively. The speed impact ratio SM is calculated based on the comparison, i.e., SM=S / M. At the same time, the offset distance of the real-time transportation route of the risk transportation point and the increase in the value of the average operating speed of the adjacent safe transportation point being lower than the average speed of the route setting are obtained. The values ​​of the collected data are assigned labels Y and X, and the offset influence coefficient YX is obtained by comparing the values, that is, YX=Y / X. It should be explained that the average speed of the route setting is the average speed of the original route, while the corresponding speed is recorded as zero when the original route is not in motion. The velocity influence ratio and offset influence ratio are compared with the velocity quantity ratio threshold and the distance velocity ratio threshold, respectively: If the speed impact ratio exceeds the speed quantity ratio threshold, or the offset impact ratio exceeds the distance speed ratio threshold, it is inferred that the transportation inspection within the port-to-port link is unqualified, an abnormal signal is generated and sent to the integrated management platform. The integrated management platform updates the real-time progress anomaly based on the real-time transportation location, and at the same time, it adjusts the transportation route of the current transportation mode, adjusts the time when the transportation vehicle passes through safe transportation points and risk transportation points, and reduces the proportion of the time period for passing through risk transportation points and the proportion of the transportation time. At the same time, if the environmental parameters do not improve and the time of passage cannot be adjusted, the overlapping routes of the current transportation route are controlled to avoid collisions or blockages of transportation vehicles within the route. If the speed impact ratio does not exceed the speed quantity ratio threshold and the offset impact ratio does not exceed the distance speed ratio threshold, it is inferred that the transportation inspection in the port-to-port link is qualified, a normal signal is generated and sent to the integrated management platform. After receiving the normal signal, the integrated management platform will send the real-time transportation progress to the data sharing platform of the shipper and the consignee. And wait for the transportation progress to be completed before entering the port to warehouse stage; After entering the port and then the warehouse, the overseas warehouse is inspected. The port-to-warehouse process is divided into several storage periods, and these storage periods are monitored. Collect goods inbound and outbound data at each storage time in the port-to-warehouse process, and calculate the goods inbound / outbound ratio based on the ratio. At the same time, based on the proportion of goods arriving at the port at the current storage time in the collected goods inbound volume and the proportion of goods arriving at the port at the current storage time in the collected goods outbound volume, the real-time goods inbound volume includes not only goods arriving at the port but also returned goods, damaged goods, etc., and calculate the port inbound turnover ratio based on the ratio. Analyze the inbound / outbound ratio and the outbound / inbound turnover ratio of goods in overseas warehouses; The increasing range of the inbound / outbound ratio of goods in overseas warehouses is compared with a set range threshold. The real-time storage status of overseas warehouses is divided into high-level inbound and high-level outbound stages. The deviation values ​​of the real-time warehouse inventory awaiting shipment corresponding to the high-level inbound and high-level outbound stages are collected. At the same time, the ratio of the rate of increase of inventory awaiting shipment in the high-level inbound stage to the rate of decrease of inventory awaiting shipment in the high-level outbound stage is collected, and the inventory deviation and the rate ratio are compared with a threshold. If the inventory deviation does not exceed the deviation threshold, or the speed ratio exceeds the speed ratio threshold, it is inferred that the internal operation ratio of the overseas warehouse is abnormal, generating an inefficient warehouse operation signal and sending it to the integrated management platform. If the inventory deviation exceeds the deviation threshold, but the speed ratio does not exceed the speed ratio threshold, it is inferred that the internal operation ratio of the overseas warehouse is normal, generating an efficient warehouse operation signal and sending it to the integrated management platform. Analyze the arrival and warehousing turnover ratio at real-time storage time; If the warehouse is operating inefficiently and the inbound / outbound turnover ratio exceeds the turnover ratio threshold, the storage time and storage duration of the goods delivered in real time will be sent to the integrated management platform as real-time progress. After receiving the data, the integrated management platform will provide feedback on the real-time progress and plan and control the operation and scheduling of goods in the overseas warehouse, and also provide feedback to the port to control the real-time inbound / outbound volume. If the port arrival and warehousing turnover ratio exceeds the turnover ratio threshold, the real-time delivery address of the transported goods will be noted and sent to the integrated management platform as real-time progress. After receiving the information, the integrated management platform will provide feedback on the real-time progress and also provide feedback to the port to control the transport volume of goods with backlog in overseas warehouses. The warehouse is operating at high efficiency. If the inbound and outbound turnover ratio exceeds the turnover ratio threshold, the inbound and outbound of goods arriving at the port in real time will be analyzed. If the real-time outbound volume is lower than the inbound volume, it is inferred that the current inbound and outbound goods are not suitable for the current transportation mode and the information is sent to the integrated management platform. The integrated management platform will then provide feedback to the port and change the transportation type, indicating that there is a loss in the inbound volume. If the turnover ratio of goods arriving at the port and entering the warehouse does not exceed the turnover ratio threshold, it is inferred that the goods arriving at the port and entering the warehouse in the overseas warehouse are qualified for allocation. The real-time progress is fed back to the integrated management platform. After the integrated management platform receives the feedback, it binds the current product type and the transportation method. The integrated management platform feeds back the quantity of goods controlled by the quantity control system, the change of transportation mode type, and the transportation mode associated with the goods to the port unit, and forms a closed loop with the warehouse-to-port link to improve the efficiency of logistics transportation management, promote the feasibility of transportation, and reduce the risk of goods damage and logistics delays.

[0021] Please see Figure 3As shown, this invention also proposes an optimized management method for cross-border logistics processes based on multi-source data fusion, the specific process of which is as follows: During the logistics and goods transportation phase, an analysis of the degree of coordination between port units and warehouse units is conducted. From warehouse to port, we collect customs clearance progress data and conduct progress assessments. From port to port, we inspect the logistics transportation of goods between ports. From port to warehouse, we inspect the overseas warehouses.

[0022] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure can be divided into different functional units or modules to complete all or part of the functions described above.

[0023] Thresholds, preset values, preset ranges, etc. are set for result comparison and analysis to determine whether they are good or bad. The value of these thresholds is determined by a combination of large-scale model analysis of sample data and human experience. They can also be adjusted appropriately based on seasonal or common-sense influences. The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A cross-border logistics link optimization management system based on multi-source data fusion, involving the warehouse-to-port, port-to-port, and port-to-warehouse links in cross-border logistics, characterized in that... Specifically, it includes port units, warehouse units, and an integrated management platform; The integrated management platform analyzes the coordination between port units and warehouse units, collects and processes data from the three links, collects information based on the transfer process of logistics goods, and analyzes the collected data to infer the actual transportation demand of goods. When entering the warehouse to port stage, a progress check is performed, and after the goods are transported to the port, the process enters the port to port stage. In the port to port stage, the logistics transportation route between ports is monitored, and the process monitoring and analysis are carried out based on the transportation data within the transportation route. After passing the threshold comparison, the process enters the port to warehouse stage. When goods enter the port and are transported to the warehouse, the storage capacity of the overseas warehouse is analyzed, real-time inventory is monitored, and the types of goods transported in the logistics are adjusted.

2. The cross-border logistics process optimization management system based on multi-source data fusion as described in claim 1, characterized in that, After entering the port and then going through the port-to-port process: The transportation environment parameters of the same type of transportation route location and the corresponding demand environment parameters of the transportation mode are collected. Based on the comparison results, the real-time transportation location is divided into safe transportation points and risky transportation points. The progress completion bonus of the safe transportation point speed-up and the progress completion reduction of the risky transportation point are collected during the transportation phase and labeled S and M respectively. The speed impact ratio SM is calculated based on the comparison, i.e., SM=S / M. At the same time, the offset distance of the real-time transportation route of the risk transportation point and the increase in the value of the average operating speed of the adjacent safe transportation point being lower than the average speed of the route are obtained. The values ​​of the collected data are assigned labels Y and X, and the offset influence coefficient YX is obtained by comparing the values, i.e., YX=Y / X. If the speed impact ratio exceeds the speed quantity ratio threshold, or the offset impact ratio exceeds the distance speed ratio threshold, an abnormal signal is generated and sent to the integrated management platform. If the speed impact ratio does not exceed the speed quantity ratio threshold, and the offset impact ratio does not exceed the distance speed ratio threshold, a normal signal is generated and sent to the integrated management platform.

3. The cross-border logistics process optimization management system based on multi-source data fusion according to claim 2, characterized in that, After entering the port-to-warehouse stage: In several storage moments, the data on goods entering and leaving the warehouse at each storage moment are collected from the port to the warehouse. The goods entry-exit ratio is calculated based on the ratio. Based on the proportion of goods entering the warehouse at the current storage moment in the collected goods entry volume and the proportion of goods leaving the warehouse at the current storage moment in the collected goods exit volume, the goods entry-exit ratio of the overseas warehouse is repeatedly increased by a span and compared with a set span threshold. The arrival and warehousing operation ratio is calculated through the ratio. The real-time storage status of the overseas warehouse is divided into a high-level warehousing stage and a high-level warehousing stage.

4. The cross-border logistics process optimization management system based on multi-source data fusion according to claim 3, characterized in that, Collect the deviation values ​​of real-time warehouse inventory awaiting shipment corresponding to the high-level inbound and high-level outbound stages, and the ratio of the rate of increase of inventory awaiting shipment during the high-level inbound stage to the rate of decrease of inventory awaiting shipment during the high-level outbound stage. If the inventory deviation does not exceed the deviation threshold, or the speed ratio exceeds the speed ratio threshold, an inefficient warehouse operation signal is generated and sent to the integrated management platform. If the inventory deviation exceeds the deviation threshold, but the speed ratio does not exceed the speed ratio threshold, an efficient warehouse operation signal is generated and sent to the integrated management platform.

5. The cross-border logistics link optimization management system based on multi-source data fusion according to claim 4, characterized in that, Analyze the arrival and warehousing turnover ratio at real-time storage time: If the warehouse is operating inefficiently and the inbound / outbound turnover ratio exceeds the turnover ratio threshold, the storage time and storage duration of the goods delivered in real time will be sent to the integrated management platform as real-time progress. After receiving the data, the integrated management platform will provide feedback on the real-time progress and plan and control the operation and scheduling of goods in the overseas warehouse, and also provide feedback to the port to control the real-time inbound / outbound volume. If the arrival-to-warehouse turnover ratio exceeds the turnover ratio threshold, the real-time delivery address of the goods will be noted and sent to the integrated management platform as real-time progress. After receiving the information, the integrated management platform will provide feedback on the real-time progress and report it to the port to control the delivery volume of goods with backlog in overseas warehouses.

6. The cross-border logistics process optimization management system based on multi-source data fusion according to claim 5, characterized in that, The warehouse is operating at high efficiency. If the inbound and outbound turnover ratio exceeds the turnover ratio threshold, the inbound and outbound of goods arriving at the port in real time will be analyzed. If the real-time outbound volume is lower than the inbound volume, it is inferred that the current goods arriving at the port are not suitable for the current transportation mode and the information is sent to the integrated management platform. The integrated management platform will then provide feedback to the port and change the transportation type. If the turnover ratio of goods arriving at the port and entering the warehouse does not exceed the turnover ratio threshold, it is inferred that the goods arriving at the port and entering the warehouse in the overseas warehouse are qualified for allocation. The real-time progress is fed back to the integrated management platform. After receiving the feedback, the integrated management platform binds the current product type and transportation method.

7. A method for optimizing cross-border logistics processes based on multi-source data fusion, employing the cross-border logistics process optimization management system based on multi-source data fusion as described in claim 6, characterized in that... The specific process is as follows: The coordination between port units and warehouse units is analyzed, information is collected based on the transfer process of logistics goods, and the actual transportation demand of goods is inferred based on the collected data. Upon entering the warehouse-to-port stage, progress checks are performed. After the goods are transported to the port, the process moves to the port-to-port stage. During the port-to-port stage, the logistics transportation routes between ports are monitored, and process monitoring and analysis are conducted based on the transportation data within the routes. After passing threshold comparisons, the process moves to the port-to-warehouse stage. During the port-to-warehouse stage, the storage capacity of overseas warehouses is analyzed, real-time inventory is monitored, and adjustments are made to the types of goods transported in the logistics.

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