International logistics management system and method based on artificial intelligence

Abstract

The invention relates to an artificial intelligence international logistics management system and method, and belongs to the technical field of logistics management. The method specifically comprises the steps of performing freight prediction according to freight order information to obtain a freight prediction result, constructing a logistics tracking task according to the freight order information, and determining a departure port and a destination port according to a transportation departure place and a transportation destination in combination with a service type and a transportation mode, obtaining planned arrival time according to the transportation time efficiency information and the logistics transportation route, updating the state information of the transportation nodes according to the real-time position information, obtaining a time consumption difference according to the actual arrival time and the planned arrival time, and updating the predicted arrival time corresponding to the unreached transportation nodes. The fee details are obtained according to the charging rules in combination with the logistics transportation affiliated information and sent to the display terminal according to the preset pushing range, logistics in-transit transportation management is achieved, the logistics transportation node management efficiency is improved, the fee accounting difficulty is reduced, and the automatic management level of international freight is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of logistics management, and in particular relates to an artificial intelligence international logistics management system and method. Background Art

[0002] With the acceleration of globalization, international economic exchanges are becoming more frequent, logistics demand is growing, and the development of information technology has also brought revolutionary changes to international logistics. In today's booming economic globalization and transnational operations, international logistics has gradually become a global economic foundation industry. As an important organizer of international logistics, international freight forwarding companies are currently facing fierce competition in the international freight forwarding industry. At the same time, in the context of economic globalization, with the intensification of international trade competition, cargo owners continue to place their hopes on logistics costs, thus putting forward higher requirements on the service capabilities of international freight forwarding companies; International freight forwarding has the following characteristics: the industry chain is long, involving a series of tasks such as picking up goods, delivering goods, port services, booking, international transportation, customs clearance, warehousing and document processing, and has high requirements for industry division of labor and cooperation, and has problems of high complexity and low standardization. On the other hand, due to the external collaboration and communication and coordination of tasks, the digitalization and structured management level of international logistics is limited, resulting in untimely node tracking and lagging logistics information during the logistics transportation process, and the inability to intervene in the risk of delay. In addition, due to the long international logistics industry chain and many industry segments, the billing rules are complex and dynamically changing. The billing rules must refer to the mode of transportation, cargo weight grade, volume size, weight and volume ratio, etc., as well as time parameters and other possible situations, and the difficulty of calculating logistics costs. Summary of the invention

[0003] In order to solve the above problems existing in the prior art, the present invention provides an artificial intelligence international logistics management system and method, which specifically comprises the following steps: obtaining effective freight information through information extraction according to freight order information, obtaining freight prediction results through freight prediction model processing according to the effective freight information, constructing a logistics tracking task according to the freight order information, determining the departure port and destination port according to the transportation origin and transportation destination in combination with the service type and transportation mode, the logistics tracking task tracks and manages the transportation process, transportation nodes and transportation time, determining the logistics transportation route according to the transportation origin, transportation destination, departure port and destination port, obtaining the planned arrival time according to the transportation timeliness information and the logistics transportation route, obtaining the real-time location information of the transportation vehicle through GPS positioning technology, and The status information of the transport node is updated based on the real-time location information, the actual arrival time is obtained based on the real-time location information, the time difference is obtained by performing a difference calculation between the actual arrival time and the planned arrival time, the estimated arrival time corresponding to the transport node that has not arrived is updated based on the time difference combined with the planned arrival time, the status information, the actual arrival time and the estimated arrival time are uploaded to the display terminal, when the status information is that the delivery is completed, the logistics and transportation ancillary information is obtained, the fee details are obtained based on the billing rules and the logistics and transportation ancillary information, the fee details are sent to the corresponding display terminal according to the preset push range, the logistics in-transit transportation management of international freight is realized, the planned arrival time is conducive to the management of logistics and transportation nodes, the difficulty of logistics cost accounting is reduced, and the level of automated management of international freight is improved.

[0004] The purpose of the present invention can be achieved through the following technical solutions: An artificial intelligence international logistics management method specifically includes the following steps: S1: Obtain freight order information, wherein the freight order information includes transportation mode, transportation origin, transportation destination, cargo information, service type, delivery date and billing rules, wherein the service type includes port-to-port transportation and door-to-door transportation, and the transportation mode includes air transportation and sea transportation; S2: obtaining effective freight information through information extraction according to the freight order information, obtaining freight prediction results through a freight prediction model according to the effective freight information, and uploading the freight prediction results to a display terminal, wherein the effective freight information includes the transportation mode, the transportation origin, the transportation destination, and the cargo information; S3: A logistics tracking task is constructed according to the freight order information, and the departure port and the destination port are determined according to the transportation origin and the transportation destination in combination with the service type and the transportation mode. The logistics tracking task tracks and manages the transportation nodes and transportation time. The transportation nodes include the pickup stage, the international transportation stage, the customs clearance stage, the ground service stage and the distribution stage. The logistics transportation route is determined according to the transportation origin, the transportation destination, the departure port and the destination port. The transportation time includes the planned arrival time, the actual arrival time and the estimated arrival time corresponding to the transportation node. The logistics transportation route includes the pickup transportation route, the international shipping route and the distribution transportation route; S4: Acquire transportation time efficiency information, obtain the planned arrival time corresponding to the transportation node by analyzing the transportation time efficiency information and the logistics transportation route, arrange the order according to the planned arrival time to obtain the transportation vehicle bound to the order, obtain the real-time location information of the transportation vehicle through GPS positioning technology, the real-time location information carries a timestamp, update the status information of the transportation node according to the real-time location information, upload the actual arrival time reaching the status information according to the real-time location information combined with the logistics transportation route, obtain the time difference by performing a difference calculation between the actual arrival time and the planned arrival time, update the expected arrival time corresponding to the transportation node that has not arrived according to the time difference combined with the planned arrival time, and upload the status information, the actual arrival time and the expected arrival time to the display terminal; S5: When the status information is that delivery is completed, the logistics and transportation ancillary information is obtained, and the logistics and transportation ancillary information includes logistics and transportation mileage information, transportation weight information and storage time information. The fee details are automatically calculated according to the billing rules and the logistics and transportation ancillary information, and the fee details are sent to the corresponding display terminal according to the preset push range.

[0005] Preferably, the step S2 specifically includes the following steps: S201: Acquire historical transportation cost data, use the historical transportation cost data as a training set to obtain the cost prediction model through neural network training, the training set includes training set samples and sample labels, and construct a decision tree model based on the training set. The decision tree model is expressed as: , where m represents the training set, represents the i-th training set sample, represents the i-th sample label, represents the kth decision tree; S202: construct an objective function according to the training set and the decision tree, wherein the objective function is expressed as: , where Obj represents the objective function, n represents the number of sample labels, and L(.) represents the loss function. represents the regularization function, represents the i-th sample label, represents the decision tree, and K represents the number of decision trees; S203: The freight prediction model is obtained through neural network training according to the decision tree model and the objective function, and the mode of transportation, the transportation origin, the transportation destination and the cargo information are input into the freight prediction model to obtain the freight prediction result.

[0006] Preferably, the step S3 specifically includes when the service type is the port-to-port transport, the transport destination and the transport destination are the departure port and the destination port respectively, and when the service type is the door-to-door transport, the departure port and the destination port are determined according to the transport origin and the transport destination in combination with the transport mode; The transportation node includes the status information, the status information of the pick-up stage includes waiting for pick-up, picking up, picked up and delivering, the status information of the international transportation stage includes booked, waiting to be shipped, shipped and arrived, the status information of the ground service stage includes waiting for warehousing, stored, customs inspection, inspected and released by customs, and the status information of the distribution stage includes delivering and delivered.

[0007] Preferably, the step S3 specifically further includes, when the service type is the door-to-door transport, the transport origin to the departure port is the pickup stage, the destination port to the transport destination is the distribution stage, the departure port to the destination port is the international transport stage, and the transport node after arriving at the destination port is the customs clearance stage and the ground service stage; The location information of the transport origin and the transport destination is obtained, and the port category is determined according to the transport mode. When the transport mode is air transport, the port category is an air port, and when the transport mode is sea transport, the port category is a seaport. According to the port category and the location information of the transport origin and the transport destination, the departure port and the destination port, as well as the location information of the departure port and the destination port are obtained. According to the location information of the transport origin and the location information of the departure port, the pick-up transport route is obtained through route planning. According to the location information of the transport origin and the location information of the departure port, the international transport route is obtained through route planning. According to the location information of the departure port and the location information of the destination port, the distribution transport route is obtained through route planning according to the location information of the destination port.

[0008] Preferably, the step S4 specifically also includes that the transport time information includes an estimated time, transport frequency and working hours, the estimated time indicates the transport time in transit, the transport frequency indicates the specific working days of each week in weeks, the working hours indicate the working hours of the customs clearance stage, the start time of the transport task is determined according to the transport frequency, the transport time is obtained by analyzing the pick-up transport route, the international transport route and the distribution transport route in combination with the estimated time through GIS software, the planned arrival time of the pick-up stage and the planned arrival time of the international transport stage are obtained according to the start time of the transport task and the transport time, and the planned arrival time of the distribution stage is obtained according to the working hours and the transport time.

[0009] Preferably, the step S5 specifically includes that the freight order information also includes a transportation rate and a billing unit, and the billing data corresponding to the billing unit is determined according to the logistics transportation ancillary information. The billing rules include unified billing, graded billing, step billing and comprehensive billing. The cost details are obtained by calculation according to the billing rules and the transportation rate. The billing unit includes logistics transportation mileage, transportation weight and storage time.

[0010] Preferably, the specific charging method of the charging rule includes: The calculation method of the unified billing is to multiply the transportation rate and the billing data according to the billing unit to obtain the fee details; The calculation method of the graded billing is to pre-set the billing grade according to the billing unit, set the corresponding graded transportation rate according to the billing grade, determine the billing grade and the graded transportation rate according to the billing data of the corresponding billing unit in the logistics transportation ancillary information, and multiply the graded transportation rate and the billing data to obtain the fee details; The calculation method of the step billing is to preset step intervals according to the billing unit, the step intervals include a first step interval, a second step interval and a third step interval, and set corresponding interval transportation rates for the step intervals. When the billing data in the logistics transportation ancillary information reaches the third step interval, the billing data corresponding to the three step intervals and the interval transportation rate are multiplied and then accumulated to obtain the fee details; The calculation method of the comprehensive billing is to determine a comprehensive billing plan, which includes the billing units that need to be accumulated and the comprehensive transportation rates corresponding to the billing units, determine the billing data based on the billing units, and multiply the billing data with the corresponding comprehensive transportation rates based on the billing units and then accumulate them to obtain the cost details.

[0011] An artificial intelligence international logistics management system, including an administrator terminal, a cost prediction module, a waybill entry module, a task tracking management module, and a waybill delivery module; The administrator terminal sets permissions for business personnel according to the business operation requirements of international freight, and the management personnel operate and manage the logistics and transportation management system through the administrator terminal. The business operation personnel enter freight order information through the waybill entry module. The freight order information includes the mode of transportation, the transportation origin, the transportation destination, the cargo information, the service type, the delivery date and the billing rules. The service type includes port-to-port transportation and door-to-door transportation. The transportation mode includes air transportation and sea transportation. A logistics transportation task is established according to the freight order information, and the logistics transportation task is transmitted to the task tracking management module; The cost prediction module obtains effective freight information through information extraction according to the freight order information, obtains freight prediction results through freight prediction model processing according to the effective freight information, and uploads the freight prediction results to the display terminal, wherein the effective freight information includes the transportation mode, the transportation origin, the transportation destination, and the cargo information; The task tracking management module receives the logistics tracking task, constructs the logistics tracking task according to the freight order information, determines the departure port and the destination port according to the transportation origin and the transportation destination in combination with the service type and the transportation mode, and the logistics tracking task tracks and manages the transportation nodes and transportation time. The transportation nodes include the pickup stage, the international transportation stage, the customs clearance stage, the ground service stage and the distribution stage. The logistics transportation route is determined according to the transportation origin, the transportation destination, the departure port and the destination port. The transportation time includes the planned arrival time, the actual arrival time and the estimated arrival time corresponding to the transportation node. The logistics transportation route includes the pickup transportation route, the international shipping route and the distribution transportation route. The transportation time information is obtained. The information and the logistics transportation route are analyzed to obtain the planned arrival time corresponding to the transportation node, and the bound transportation vehicle is arranged according to the planned arrival time. The real-time location information of the transportation vehicle is obtained through GPS positioning technology. The real-time location information carries a timestamp. The status information of the transportation node is updated according to the real-time location information. The actual arrival time reaching the status information is uploaded according to the real-time location information combined with the logistics transportation route. The time difference is obtained by performing a difference calculation between the actual arrival time and the planned arrival time. The estimated arrival time corresponding to the transportation node that has not arrived is updated according to the time difference combined with the planned arrival time, and the status information, the actual arrival time and the estimated arrival time are uploaded to the display terminal; The waybill delivery module receives order delivery information, and when the status information is delivery completion, obtains logistics transportation ancillary information, which includes logistics transportation mileage information, transportation weight information and storage time information. The fee details are automatically calculated based on the billing rules and the logistics transportation ancillary information, and the fee details are sent to the corresponding display terminal according to the preset push range.

[0012] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned artificial intelligence international logistics management method when executing the program.

[0013] A storage medium containing computer executable instructions, which are used to execute the above-mentioned artificial intelligence international logistics management method when executed by a computer processor.

[0014] The beneficial effects of the present invention are: 1. By setting up the task tracking management module, modularizing the tasks in the logistics transportation process, setting up logistics tracking tasks, and updating the logistics status information, actual arrival time and estimated arrival time in real time, it is convenient for customers and enterprise management to track logistics information at any time, improving the service quality of international freight forwarding companies, reducing transportation risks, and establishing brand effects; 2. Determine the start time of the transport task according to the transport frequency, obtain the transport time by analyzing the pick-up transport route, the international transport route and the distribution transport route in combination with the estimated time efficiency through GIS software, obtain the planned arrival time of the pick-up stage and the planned arrival time of the international transport stage according to the start time of the transport task and the transport time efficiency, obtain the planned arrival time of the distribution stage according to the working period and the transport time efficiency, calculate the planned arrival time according to the estimated time efficiency and the transport frequency in combination with the working period, make the planned arrival time more reasonable and closer to reality, facilitate the tracking of transport nodes in the in-transit logistics, update the estimated arrival time by comparing the actual arrival time with the planned arrival time, realize the dynamic tracking and analysis of the whole process of logistics transportation, and help the management personnel to deal with emergencies in time; 3. The cost prediction module obtains effective freight information through information extraction based on the freight order information, obtains freight prediction results through the freight prediction model based on the effective freight information, and uploads the freight prediction results to the display terminal. The effective freight information includes the transportation mode, the transportation origin, the transportation destination, and the cargo information. When the freight order is entered into the system, the freight prediction results are obtained through the freight prediction model based on the freight order information, and the freight prediction results are uploaded to the display terminal, so that customers can view the freight prediction results, which is beneficial for customers to understand the current international logistics transportation cost trend and improve the service quality of international freight forwarding companies; 4. By setting up the waybill delivery module, when the status information is delivery completion, the logistics transportation ancillary information is obtained, the logistics transportation ancillary information includes logistics transportation mileage information, transportation weight information and storage time information, and the fee details are automatically calculated according to the billing rules and the logistics transportation ancillary information, and the fee details are sent to the corresponding display terminal according to the preset push range. By intensively processing the set billing rules, the fee details are automatically calculated according to the logistics transportation ancillary information and the billing rules, which reduces the difficulty of fee accounting. By pushing the fee details according to the preset push range, it is convenient for customers to view the fee details, thereby improving the service quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0016] Figure 1 The figure is a flow chart of the international logistics management method based on artificial intelligence of the present invention. DETAILED DESCRIPTION

[0017] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0018] See also Figure 1 , an artificial intelligence international logistics management method, specifically comprising the following steps: S1: Obtain freight order information, wherein the freight order information includes transportation mode, transportation origin, transportation destination, cargo information, service type, delivery date and billing rules, wherein the service type includes port-to-port transportation and door-to-door transportation, and the transportation mode includes air transportation and sea transportation; S2: obtaining effective freight information through information extraction according to the freight order information, obtaining freight prediction results through a freight prediction model according to the effective freight information, and uploading the freight prediction results to a display terminal, wherein the effective freight information includes the transportation mode, the transportation origin, the transportation destination, and the cargo information; S3: A logistics tracking task is constructed according to the freight order information, and the departure port and the destination port are determined according to the transportation origin and the transportation destination in combination with the service type and the transportation mode. The logistics tracking task tracks and manages the transportation nodes and transportation time. The transportation nodes include the pickup stage, the international transportation stage, the customs clearance stage, the ground service stage and the distribution stage. The logistics transportation route is determined according to the transportation origin, the transportation destination, the departure port and the destination port. The transportation time includes the planned arrival time, the actual arrival time and the estimated arrival time corresponding to the transportation node. The logistics transportation route includes the pickup transportation route, the international shipping route and the distribution transportation route; S4: Acquire transportation time efficiency information, obtain the planned arrival time corresponding to the transportation node by analyzing the transportation time efficiency information and the logistics transportation route, arrange the order according to the planned arrival time to obtain the transportation vehicle bound to the order, obtain the real-time location information of the transportation vehicle through GPS positioning technology, the real-time location information carries a timestamp, update the status information of the transportation node according to the real-time location information, upload the actual arrival time reaching the status information according to the real-time location information combined with the logistics transportation route, obtain the time difference by performing a difference calculation between the actual arrival time and the planned arrival time, update the expected arrival time corresponding to the transportation node that has not arrived according to the time difference combined with the planned arrival time, and upload the status information, the actual arrival time and the expected arrival time to the display terminal; S5: When the status information is that delivery is completed, the logistics and transportation ancillary information is obtained, and the logistics and transportation ancillary information includes logistics and transportation mileage information, transportation weight information and storage time information. The fee details are automatically calculated according to the billing rules and the logistics and transportation ancillary information, and the fee details are sent to the corresponding display terminal according to the preset push range.

[0019] It should be noted that before placing a freight order, the scope of responsibilities of both parties must be standardized with the customer according to the international trade terms, and the service type, cargo information, customer information and logistics tracking tasks must be determined. Customer information includes the customer, shipper, consignee and notify party. The customer is the person who places the order, the shipper is the actual shipper of the goods, the consignee is the actual consignee of the goods, and the notify party is the relevant party that needs to be notified at the same time after the goods arrive at the destination port. Among them, the settings of transportation nodes and transportation time are used to describe the entire process of the logistics tracking task.

[0020] Specifically, the step S2 comprises the following steps: S201: Acquire historical transportation cost data, use the historical transportation cost data as a training set to obtain the cost prediction model through neural network training, the training set includes training set samples and sample labels, and construct a decision tree model based on the training set. The decision tree model is expressed as: , where m represents the training set, represents the i-th training set sample, represents the i-th sample label, represents the kth decision tree; S202: construct an objective function according to the training set and the decision tree, wherein the objective function is expressed as: , where Obj represents the objective function, n represents the number of sample labels, and L(.) represents the loss function. represents the regularization function, represents the i-th sample label, represents the decision tree, and K represents the number of decision trees; S203: The freight prediction model is obtained through neural network training according to the decision tree model and the objective function, and the mode of transportation, the transportation origin, the transportation destination and the cargo information are input into the freight prediction model to obtain the freight prediction result.

[0021] Specifically, the step S3 specifically includes when the service type is the port-to-port transport, the transport destination and the transport destination are the departure port and the destination port respectively, and when the service type is the door-to-door transport, the departure port and the destination port are determined according to the transport origin and the transport destination in combination with the transport mode; The transportation node includes the status information, the status information of the pick-up stage includes waiting for pick-up, picking up, picked up and delivering, the status information of the international transportation stage includes booked, waiting to be shipped, shipped and arrived, the status information of the ground service stage includes waiting for warehousing, stored, customs inspection, inspected and released by customs, and the status information of the distribution stage includes delivering and delivered.

[0022] It should be noted that the service type is determined when the contract is signed with the customer. For port-to-port transportation, the port of departure and the port of destination are determined when the contract is signed. Logistics and transportation management also manages the process from the port of departure to the port of destination.

[0023] Specifically, the step S3 specifically further includes that when the service type is the door-to-door transport, the transport origin to the departure port is the pickup stage, the destination port to the transport destination is the distribution stage, the departure port to the destination port is the international transport stage, and the transport node after arriving at the destination port is the customs clearance stage and the ground service stage; The location information of the transport origin and the transport destination is obtained, and the port category is determined according to the transport mode. When the transport mode is air transport, the port category is an air port, and when the transport mode is sea transport, the port category is a seaport. According to the port category and the location information of the transport origin and the transport destination, the departure port and the destination port, as well as the location information of the departure port and the destination port are obtained. According to the location information of the transport origin and the location information of the departure port, the pick-up transport route is obtained through route planning. According to the location information of the transport origin and the location information of the departure port, the international transport route is obtained through route planning. According to the location information of the departure port and the location information of the destination port, the distribution transport route is obtained through route planning according to the location information of the destination port.

[0024] Specifically, the step S4 also includes that the transport time information includes an estimated time, transport frequency and working hours, the estimated time indicates the transport time in transit, the transport frequency indicates the specific working days of each week in weeks, the working hours indicate the working hours of the customs clearance stage, the start time of the transport task is determined according to the transport frequency, the transport time is obtained by analyzing the pick-up transport route, the international transport route and the distribution transport route in combination with the estimated time through GIS software, the planned arrival time of the pick-up stage and the planned arrival time of the international transport stage are obtained according to the start time of the transport task and the transport time, and the planned arrival time of the distribution stage is obtained according to the working hours and the transport time.

[0025] It should be noted that the specific working days of each week are personalized transportation plans. Different freight orders will have different transportation frequencies. For example, if there is a freight order with a transportation frequency of Monday to Friday, and a freight order is placed on Sunday, and the transportation frequency is Monday to Friday, then when calculating the planned arrival time, it is necessary to calculate according to the most recent transportation frequency time; The planned arrival time of the distribution stage is obtained according to the working period and the transportation time, and the planned arrival time is calculated according to the estimated time efficiency and transportation frequency combined with the working period, so that the planned arrival time is more reasonable and closer to reality, which is convenient for tracking the transportation nodes of logistics in transit. The estimated arrival time is updated by the actual arrival time and the planned arrival time, which realizes dynamic tracking and analysis of the entire logistics transportation process, and is conducive to the management personnel to deal with emergencies in time. When the planned arrival time is greater than the delivery date, a warning message is generated and transmitted to the administrator terminal, and the administrator verifies and negotiates the delivery date or transportation method.

[0026] Specifically, the step S5 specifically includes that the freight order information also includes a transportation rate and a billing unit, and the billing data corresponding to the billing unit is determined according to the logistics transportation ancillary information. The billing rules include unified billing, graded billing, step billing and comprehensive billing. The cost details are obtained by calculation according to the billing rules and the transportation rate. The billing unit includes logistics transportation mileage, transportation weight and storage time.

[0027] It should be further explained that the billing data includes the number of pieces of goods, single piece weight, size, volume and type of goods, and the billing unit can be determined by negotiation with the customer.

[0028] Specifically, the specific charging methods of the charging rules include: The calculation method of the unified billing is to multiply the transportation rate and the billing data according to the billing unit to obtain the fee details; The calculation method of the graded billing is to pre-set the billing grade according to the billing unit, set the corresponding graded transportation rate according to the billing grade, determine the billing grade and the graded transportation rate according to the billing data of the corresponding billing unit in the logistics transportation ancillary information, and multiply the graded transportation rate and the billing data to obtain the fee details; The calculation method of the step billing is to preset step intervals according to the billing unit, the step intervals include a first step interval, a second step interval and a third step interval, and set corresponding interval transportation rates for the step intervals. When the billing data in the logistics transportation ancillary information reaches the third step interval, the billing data corresponding to the three step intervals and the interval transportation rate are multiplied and then accumulated to obtain the fee details; The calculation method of the comprehensive billing is to determine a comprehensive billing plan, which includes the billing units that need to be accumulated and the comprehensive transportation rates corresponding to the billing units, determine the billing data based on the billing units, and multiply the billing data with the corresponding comprehensive transportation rates based on the billing units and then accumulate them to obtain the cost details.

[0029] By centralizing the set billing rules and automatically calculating the cost details based on the logistics and transportation ancillary information and billing rules, the difficulty of cost accounting is reduced. By pushing the cost details according to the preset push range, it is convenient for customers to view the cost details, thereby improving the service quality.

[0030] Furthermore, the present application also provides an artificial intelligence international logistics management system, including an administrator terminal, a cost prediction module, a waybill entry module, a task tracking management module, and a waybill delivery module; The administrator terminal sets permissions for business personnel according to the business operation requirements of international freight, and the management personnel operate and manage the logistics and transportation management system through the administrator terminal. The business operation personnel enter freight order information through the waybill entry module. The freight order information includes the mode of transportation, the transportation origin, the transportation destination, the cargo information, the service type, the delivery date and the billing rules. The service type includes port-to-port transportation and door-to-door transportation. The transportation mode includes air transportation and sea transportation. A logistics transportation task is established according to the freight order information, and the logistics transportation task is transmitted to the task tracking management module; The cost prediction module obtains effective freight information through information extraction according to the freight order information, obtains freight prediction results through freight prediction model processing according to the effective freight information, and uploads the freight prediction results to the display terminal, wherein the effective freight information includes the transportation mode, the transportation origin, the transportation destination, and the cargo information; The task tracking management module receives the logistics tracking task, constructs the logistics tracking task according to the freight order information, determines the departure port and the destination port according to the transportation origin and the transportation destination in combination with the service type and the transportation mode, and the logistics tracking task tracks and manages the transportation nodes and transportation time. The transportation nodes include the pickup stage, the international transportation stage, the customs clearance stage, the ground service stage and the distribution stage. The logistics transportation route is determined according to the transportation origin, the transportation destination, the departure port and the destination port. The transportation time includes the planned arrival time, the actual arrival time and the estimated arrival time corresponding to the transportation node. The logistics transportation route includes the pickup transportation route, the international shipping route and the distribution transportation route. The transportation time information is obtained. The information and the logistics transportation route are analyzed to obtain the planned arrival time corresponding to the transportation node, and the bound transportation vehicle is arranged according to the planned arrival time. The real-time location information of the transportation vehicle is obtained through GPS positioning technology. The real-time location information carries a timestamp. The status information of the transportation node is updated according to the real-time location information. The actual arrival time reaching the status information is uploaded according to the real-time location information combined with the logistics transportation route. The time difference is obtained by performing a difference calculation between the actual arrival time and the planned arrival time. The estimated arrival time corresponding to the transportation node that has not arrived is updated according to the time difference combined with the planned arrival time, and the status information, the actual arrival time and the estimated arrival time are uploaded to the display terminal; The waybill delivery module receives order delivery information, and when the status information is delivery completion, obtains logistics transportation ancillary information, which includes logistics transportation mileage information, transportation weight information and storage time information. The fee details are automatically calculated based on the billing rules and the logistics transportation ancillary information, and the fee details are sent to the corresponding display terminal according to the preset push range.

[0031] By setting up a task tracking management module, the tasks in the logistics transportation process are modularized, and logistics tracking tasks are set up to update the logistics status information, actual arrival time and estimated arrival time in real time, making it convenient for customers and corporate management to track logistics information at any time, thereby improving the service quality of international freight forwarding companies, reducing transportation risks, and establishing a brand effect.

[0032] Furthermore, the present application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned artificial intelligence international logistics management method when executing the program.

[0033] Furthermore, the present application also provides a storage medium containing computer executable instructions, which are used to execute the above-mentioned artificial intelligence international logistics management method when executed by a computer processor.

[0034] The working principle and use process of the present invention: The freight order information is obtained, and the effective freight information is obtained by information extraction according to the freight order information. The freight prediction result is obtained by processing the effective freight information through the freight prediction model. The logistics tracking task is constructed according to the freight order information. The departure port and the destination port are determined according to the transportation origin and the transportation destination in combination with the service type and the transportation mode. The logistics tracking task tracks and manages the transportation process, transportation nodes and transportation time. The logistics transportation route is determined according to the transportation origin, the transportation destination, the departure port and the destination port. The planned arrival time is obtained according to the transportation time information and the logistics transportation route. The real-time location information of the transportation vehicle is obtained through GPS positioning technology. The status information of the transportation node is updated according to the real-time location information. The actual arrival time is obtained according to the real-time location information. The time difference is calculated by performing a difference calculation between the actual arrival time and the planned arrival time. The estimated arrival time corresponding to the transportation node that has not arrived is updated according to the time difference combined with the planned arrival time. The status information, the actual arrival time and the estimated arrival time are uploaded to the display terminal. When the status information is delivery completion, the logistics transportation ancillary information is obtained. The fee details are obtained according to the billing rules combined with the logistics transportation ancillary information. The fee details are sent to the corresponding display terminal according to the preset push range.

[0035] The computer storage medium of the embodiment of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device or device.

[0036] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0037] The program code included in the computer-readable medium can be transmitted with any appropriate medium, including but not limited to wireless, electric wire, optical cable, etc., or any suitable combination of the above. The computer program code for performing the operation of the present invention can be written in one or more programming languages ​​or their combinations, and the programming language includes object-oriented programming languages-such as Java, Smalltalk, C++, and also includes conventional procedural programming languages-such as "C" language or similar programming languages. The program code can be executed completely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on the remote computer, or completely on the remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0038] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments without departing from the scope of the technical solution of the present invention. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. An artificial intelligence international logistics management method, characterized in that: The specific steps include: S1: Obtain freight order information, extract information from the freight order information to obtain valid freight information, and obtain a freight forecast result based on the valid freight information through a freight forecast model; S2: constructing a logistics tracking task and determining the departure port and the destination port according to the freight order information, wherein the logistics tracking task tracks and manages the transportation nodes and transportation time; S3: Obtaining transportation time efficiency information, obtaining the planned arrival time corresponding to the transportation node through analysis based on the transportation time efficiency information and the logistics transportation route, arranging the order according to the planned arrival time to obtain the transportation vehicle bound to the order, obtaining the real-time location information of the transportation vehicle through GPS positioning technology, and updating the status information of the transportation node according to the real-time location information; S4: When the status information indicates that delivery is completed, the logistics and transportation ancillary information is obtained, the billing rules in the freight order information are extracted and the fee details are automatically calculated in combination with the logistics and transportation ancillary information, and the fee details are sent to the corresponding display terminal according to the preset push range.

2. The international logistics management method based on artificial intelligence according to claim 1 is characterized in that: The step S2 specifically includes the following steps: S201: Acquire historical transportation cost data, use the historical transportation cost data as a training set to obtain the cost prediction model through neural network training, the training set includes training set samples and sample labels, and construct a decision tree model based on the training set. The decision tree model is expressed as: , where m represents the training set, represents the i-th training set sample, represents the i-th sample label, represents the kth decision tree; S202: Construct an objective function according to the training set and the decision tree, wherein the objective function is expressed as: , where Obj represents the objective function, n represents the number of sample labels, and L(.) represents the loss function. represents the regularization function, represents the i-th sample label, represents the decision tree, and K represents the number of decision trees; S203: The freight prediction model is obtained through neural network training according to the decision tree model and the objective function, and the mode of transportation, transportation origin, transportation destination and cargo information in the freight order information are input into the freight prediction model to obtain the freight prediction result, wherein the freight order information also includes the service type.

3. The international logistics management method based on artificial intelligence according to claim 2 is characterized in that: The service type includes port-to-port transportation and door-to-door transportation. When the service type is port-to-port transportation, the transportation destination and the transportation destination are the departure port and the destination port respectively. When the service type is door-to-door transportation, the departure port and the destination port are determined according to the transportation origin and the transportation destination in combination with the transportation mode. The transportation node includes the status information, the status information of the pick-up stage includes waiting for pick-up, picking up, picked up and delivering, the status information of the international transportation stage includes booked, waiting to be shipped, shipped and arrived, the status information of the ground service stage includes waiting for warehousing, stored, customs inspection, inspected and released by customs, and the status information of the distribution stage includes delivering and delivered.

4. The international logistics management method based on artificial intelligence according to claim 3 is characterized in that: The step S2 specifically includes that when the service type is the door-to-door transport, the transport origin to the departure port is the pickup stage, the destination port to the transport destination is the distribution stage, the departure port to the destination port is the international transport stage, and the transport node after arriving at the destination port is the customs clearance stage and the ground service stage; The location information of the transport origin and the transport destination is obtained, and the port category is determined according to the transport mode. When the transport mode is air transport, the port category is an air port, and when the transport mode is sea transport, the port category is a seaport. According to the port category and the location information of the transport origin and the transport destination, the departure port and the destination port, as well as the location information of the departure port and the destination port are obtained. According to the location information of the transport origin and the location information of the departure port, the pick-up transport route is obtained through route planning. According to the location information of the transport origin and the location information of the departure port, the international transport route is obtained through route planning. According to the location information of the departure port and the location information of the destination port, the distribution transport route is obtained through route planning according to the location information of the destination port.

5. The international logistics management method based on artificial intelligence according to claim 1 is characterized in that: The step S3 specifically also includes uploading the actual arrival time of the status information according to the real-time location information in combination with the logistics transportation route, obtaining the time difference by performing difference calculation between the actual arrival time and the planned arrival time, updating the estimated arrival time corresponding to the transportation node that has not arrived according to the time difference in combination with the planned arrival time, uploading the status information, the actual arrival time and the estimated arrival time to the display terminal, the transportation time efficiency information includes the estimated time efficiency, transportation frequency and working hours, the estimated time efficiency represents the transportation time efficiency in transit, the transportation frequency represents the specific working days of each week in weeks, the working hours represent the working hours of the customs clearance stage, determining the start time of the transportation task according to the transportation frequency, obtaining the transportation time consumption by analyzing the pick-up transportation route, the international transportation route and the distribution transportation route in combination with the estimated time efficiency through GIS software, obtaining the planned arrival time of the pick-up stage and the planned arrival time of the international transportation stage according to the transportation task start time and the transportation time consumption, and obtaining the planned arrival time of the distribution stage according to the working hours and the transportation time consumption.

6. The international logistics management method based on artificial intelligence according to claim 1, characterized in that: The step S4 specifically includes that the logistics transportation ancillary information includes logistics transportation mileage information, transportation weight information, and storage time information. The freight order information also includes transportation rates and billing units. The billing data corresponding to the billing units are determined according to the logistics transportation ancillary information. The billing rules include unified billing, graded billing, step billing and comprehensive billing. The cost details are obtained by calculation according to the billing rules and the transportation rates. The billing units include logistics transportation mileage, transportation weight and storage time.

7. The international logistics management method based on artificial intelligence according to claim 6 is characterized in that: The specific charging methods of the charging rules include: The calculation method of the unified billing is to multiply the transportation rate and the billing data according to the billing unit to obtain the fee details; The calculation method of the graded billing is to pre-set the billing grade according to the billing unit, set the corresponding graded transportation rate according to the billing grade, determine the billing grade and the graded transportation rate according to the billing data of the corresponding billing unit in the logistics transportation ancillary information, and multiply the graded transportation rate and the billing data to obtain the fee details; The calculation method of the step billing is to preset step intervals according to the billing unit, the step intervals include a first step interval, a second step interval and a third step interval, and set corresponding interval transportation rates for the step intervals. When the billing data in the logistics transportation ancillary information reaches the third step interval, the billing data corresponding to the three step intervals and the interval transportation rate are multiplied and then accumulated to obtain the fee details; The calculation method of the comprehensive billing is to determine a comprehensive billing plan, which includes the billing units that need to be accumulated and the comprehensive transportation rates corresponding to the billing units, determine the billing data based on the billing units, and multiply the billing data with the corresponding comprehensive transportation rates based on the billing units and then accumulate them to obtain the cost details.

8. An artificial intelligence international logistics management system, which adopts the artificial intelligence international logistics management method as claimed in claim 1, characterized in that: It includes cost forecasting module, waybill entry module, task tracking management module, and waybill delivery module; The cost prediction module is used to obtain freight order information, extract information from the freight order information to obtain effective freight information, and obtain a freight prediction result based on the effective freight information through a freight prediction model; The waybill entry module is used to construct a logistics tracking task and determine the departure port and destination port according to the freight order information, and the logistics tracking task tracks and manages the transportation nodes and transportation time; The task tracking management module is used to obtain transportation time information, obtain the planned arrival time corresponding to the transportation node through analysis based on the transportation time information and the logistics transportation route, arrange the order according to the planned arrival time to obtain the transportation vehicle bound to the order, obtain the real-time location information of the transportation vehicle through GPS positioning technology, and update the status information of the transportation node according to the real-time location information; The waybill delivery module is used to obtain logistics and transportation ancillary information, extract the billing rules in the freight order information and automatically calculate the fee details in combination with the logistics and transportation ancillary information, and send the fee details to the corresponding display terminal according to the preset push range.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the international logistics management method based on artificial intelligence as described in any one of claims 1-7 is implemented.

10. A storage medium containing computer executable instructions, characterized in that: The computer executable instructions, when executed by a computer processor, are used to execute the international logistics management method based on artificial intelligence as described in any one of claims 1 to 7.

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