An online freight comprehensive management method and platform

Abstract

The present invention discloses an online freight integrated management method and platform, which relates to the technical field of online freight integrated management, and is used to solve the problem that traditional freight management methods often fail to provide comprehensive cost insights when facing complex transportation needs, resulting in high costs; by analyzing the supply chain cost, maintenance cost and regional cost directions respectively to obtain parameters for judging freight costs, integrating the supply chain cost, maintenance cost and regional cost multi-directional analysis to obtain freight costs, and comparing with the cost threshold to issue a high cost alarm; by collecting data for preparing route optimization, with the goal of minimizing freight costs, a mathematical objective function is established, and the best route solution is obtained to reduce costs, thereby reducing resource waste and enhancing the market competitiveness of the enterprise. Through real-time route optimization, the enterprise can better adapt to market changes, improve efficiency and provide customers with better services.

Description

Technical Field

[0001] The present invention relates to the technical field of online freight integrated management, and more specifically, to an online freight integrated management method and platform. Background Art

[0002] Online freight integrated management is an important part of the logistics and freight industry, which involves multiple aspects such as cargo scheduling, tracking, inventory management, transportation route optimization and customer interaction. At present, there are some traditional methods and systems in this field, but they usually have the following problems and limitations.

[0003] Deficiencies of existing technologies:

[0004] In today's global freight and logistics industry, effectively assessing and controlling costs is a critical task. Traditional freight management methods often fail to provide comprehensive cost insights when faced with challenges such as complex transportation needs, diverse cargo types, and globalized trade, resulting in high costs, waste of resources, and inefficiency. Modern freight transportation faces complex challenges, including traffic congestion, changing road conditions, and the dynamic nature of customer demand.

[0005] In view of the above problems, the present invention proposes a solution. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an online freight comprehensive management method and platform, which achieves the purpose of online freight comprehensive management through online freight comprehensive management, so as to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] An online freight integrated management method comprises the following steps:

[0009] Step S1, obtaining the supply chain data and transportation demand data of goods from the review of contracts and agreements, obtaining the equipment maintenance parameters and manual maintenance parameters through monitoring, obtaining the regional environmental data through the assessment of regional risk factors, and obtaining the business impact data through the assessment of the regional impact on the business;

[0010] Step S2, analyzing the supply chain cost based on the supply chain data and transportation demand data of the goods, analyzing the maintenance cost based on the equipment maintenance parameters and manual maintenance parameters, and analyzing the regional cost based on the regional environment data and business impact data;

[0011] Step S3, integrating and analyzing the freight cost from the perspectives of supply chain cost, maintenance cost, and regional cost, and making a cost judgment based on the comparison between the freight cost and the preset cost threshold, and deciding whether to optimize the route based on the judgment result;

[0012] Step S4, collecting route optimization data;

[0013] Step S5, based on the route optimization data, with the goal of minimizing freight costs, setting constraints, establishing a mathematical objective function, and obtaining the best route solution.

[0014] In a preferred embodiment, in step S1, the supply chain data of the goods includes transportation rates, storage rates, and transit fees, and the transportation demand data includes transportation distance, goods weight, delivery time requirements, and storage time;

[0015] Equipment maintenance parameters include the cost of each maintenance, the man-hours required for each maintenance, and the number of maintenance required per year. Labor cost parameters include the hourly wage rate of employees and the man-hours of employees involved in equipment maintenance.

[0016] Regional environmental data include regional environmental index, regional risk index, and regional event frequency, and business impact data include business criticality and business geographical distribution.

[0017] In a preferred embodiment, in step S2, the specific method for obtaining the supply chain cost, maintenance cost, and regional cost is as follows:

[0018] Supply chain cost: calculate the transportation cost by multiplying the transportation rate, distance and cargo weight; calculate the storage cost by multiplying the storage rate, cargo weight and storage time; calculate the supply chain cost by adding the transportation cost, storage cost and transit fee;

[0019] Maintenance cost: multiply the hourly wage rate of employees and the hours they spend on equipment maintenance to get the labor cost; multiply the cost of each maintenance and the hours required for each maintenance to get the single maintenance machine cost; add the single maintenance machine cost and the labor cost to get the single maintenance cost; calculate the maintenance cost by summing the single maintenance cost and the number of maintenance times required each year;

[0020] Regional cost: Integrate the regional environment index, regional risk index, regional event frequency, business geographical distribution, and business criticality, and multiply and add them together to obtain the regional cost.

[0021] In a preferred embodiment, in step S3, the freight cost acquisition method is as follows: integrating and analyzing the supply chain cost, maintenance cost and regional cost, and calculating the freight cost through a weighted sum formula; monitoring the freight cost in real time, and optimizing the logistics route when the freight cost is greater than a preset cost threshold.

[0022] In a preferred embodiment, in step S4, the route optimization data acquisition method is as follows: collect the geographical location data of the starting point, destination and intermediate stop points of the goods, and combine all the starting points, destinations and intermediate stop points into a set; collect the transportation vehicle information, including the type of vehicle, load capacity, and cost rate of the vehicle, and combine all vehicle types into a set; obtain the weight of the goods between the two places of the goods; multiply and sum the distance between the two places, the vehicle cost rate, the vehicle load capacity, and the weight of the goods between the two places to obtain the vehicle cost;

[0023] Obtain vehicle information, including obtaining the fuel consumption rate of the corresponding vehicle, obtaining real-time regional fuel costs, and integrating the vehicle's fuel consumption rate and real-time regional fuel cost analysis to obtain fuel costs;

[0024] Get the time limit for the goods delivery point;

[0025] Obtain decision variables. The method for obtaining decision variables is as follows: for each combination of driving a vehicle from one location to another, define a binary value to indicate whether the combination is selected. The binary value range is 1 and 0. 1 means selecting the combination, and 0 means not selecting the combination.

[0026] In a preferred embodiment, in step S5, the method for obtaining the best route plan is as follows: integrating vehicle cost, fuel cost, decision variables, and the time limit of the cargo delivery point, with the goal of minimizing freight cost, setting constraints: 1. Each delivery location is delivered within the time limit; 2. The maximum load does not exceed the vehicle's load capacity; 3. Ensure that each location is visited by only one vehicle; establish a mathematical objective function, and select the mathematical model with the lowest freight cost as the best route.

[0027] An online freight integrated management platform, including a freight cost collection system, a real-time cost monitoring system, a cost alarm system, a route collection system, and a route optimization system;

[0028] The freight cost collection system is used to collect and analyze supply chain costs, maintenance costs, and regional costs to obtain freight costs;

[0029] The real-time cost monitoring system is used to monitor freight costs in real time; when it is detected that the freight costs are greater than a set cost threshold, the cost alarm system is triggered to warn the manager that the costs are too high;

[0030] The route collection system is used to collect and prepare route optimization data, integrate vehicle costs and fuel costs to minimize freight costs, combine constraints, and establish a mathematical objective function to obtain the best route solution;

[0031] The route optimization system is used to monitor and implement the best route in real time to reduce freight costs when a cost reduction request is received.

[0032] Technical effects and advantages of an online freight integrated management method and platform of the present invention:

[0033] 1. This paper introduces an online freight integrated management method. The innovation of this online freight integrated management method is that it integrates multiple key factors such as supply chain cost, maintenance cost and regional cost, and provides enterprises with comprehensive freight cost insights. This helps enterprises better manage costs, reduce risks, and improve efficiency, thereby achieving sustainable competitive advantages. The real-time cost monitoring and risk management features of this method make it a key tool in the modern global freight and logistics industry, helping enterprises make wise decisions in the face of complex challenges and ensure business success.

[0034] 2. A route optimization scheme was designed, which uses mathematical modeling and optimization methods to achieve optimal path planning and vehicle allocation in the freight process by comprehensively considering key factors such as distance between locations, vehicle costs, fuel consumption, and time windows. This not only reduces transportation costs, but also improves service quality, reduces resource waste, and enhances the market competitiveness of enterprises. Through real-time route optimization, enterprises can better adapt to market changes, improve efficiency, and provide customers with better services. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 The present invention is a flowchart of an online freight integrated management method.

[0036] Figure 2 This is a structural schematic diagram of an online freight integrated management platform of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] Example 1, please refer to Figure 1As shown, in today's global freight and logistics industry, effectively evaluating and controlling costs is a vital task. Traditional freight management methods often fail to provide comprehensive cost insights when faced with challenges such as complex transportation needs, diverse cargo types, and globalized trade, resulting in high costs, waste of resources, and inefficiency. Therefore, a cost evaluation model is designed to meet these challenges and provide freight and logistics decision makers with a powerful tool for accurately and in real time estimating various cost factors in order to formulate optimized transportation strategies, reasonable cost budgets, and more informed decisions. The online freight comprehensive management method described in the present invention includes the following steps:

[0039] 1. Obtaining Supply Chain Costs

[0040] 1. Contract and Agreement Review: First, review the contracts and agreements signed with supply chain partners. These documents usually include cost information, rates, and service level agreements. Get the following parameters from the contracts and agreements: Transportation contract rates , Unit: Currency / Ton / Kilometer, the rate per ton per kilometer of goods specified in the transportation contract; Storage rate , Unit: Currency / ton / day Daily storage cost of goods in the warehouse; Transit cost ,Unit: Currency / Goods, Transit costs refer to the costs required to transfer goods from one mode of transport to another mode of transport or location in the supply chain;

[0041] 2. Transportation requirement parameters: Obtain specific parameters about transportation requirements, such as distance, cargo weight, cargo volume, and delivery time requirements.

[0042] Transport distance , unit: km, transportation distance refers to the distance from the departure point to the destination of the goods, which has a direct impact on the transportation cost; cargo weight , unit: tons, total weight of goods; cargo volume V, unit: cubic meters, total volume of goods; delivery time requirements : Unit: hours, the required delivery time of the goods;

[0043] 3. Cost calculation formula: Using the above parameters, the supply chain cost can be calculated. The following is an example cost calculation formula that takes into account transportation costs, warehousing costs, and transit costs: , where is the supply chain cost, is the contract rate of carriage, is the transport distance, is the weight of the goods, Rw is the storage rate, For delivery time, For transfer fees, The shipping cost is calculated based on the shipping rate, distance and weight of the goods. It is the storage cost calculated based on the storage rate, cargo weight and storage time.

[0044] Calculating supply chain costs is critical to businesses because it helps optimize operations, improve efficiency, and achieve cost control and sustainable competitive advantages in a globally competitive market. Understanding supply chain costs helps companies identify expenses at each link, optimize transportation, warehousing and production processes, effectively manage inventory, reasonably select suppliers, and better meet customer needs. This can not only reduce costs, but also improve customer satisfaction, strengthen the company's market position, and ensure profitability.

[0045] 2. Obtaining maintenance costs

[0046] Capturing maintenance and repair costs typically involves the labor, parts, and repair services required to maintain your equipment or vehicle. Here are some specific scenarios:

[0047] 1. Obtain equipment maintenance parameters: determine the maintenance frequency of the equipment, that is, the number of times maintenance is required each year , unit: times / year; determine the man-hours required for each maintenance , unit: hour; determine the cost of each maintenance , unit: currency / time;

[0048] 2. Get labor cost parameters: Get the employee's hourly wage rate , Unit: Currency / Hour; Determine the man-hours that employees spend on equipment maintenance , unit: hour;

[0049] 3. Calculate maintenance costs

[0050] The labor cost is calculated by multiplying the hourly wage rate of the employee and the hours of work the employee participates in equipment maintenance; the single maintenance machine cost is calculated by multiplying the cost of each maintenance and the hours required for each maintenance; the single maintenance machine cost is added to the labor cost to obtain the single maintenance cost; the maintenance cost is calculated by summing the single maintenance cost and the number of maintenance times required each year. The following is a calculation formula: , where For maintenance costs, The number of maintenance required each year, is the employee's hourly wage rate, The man-hours for employees to participate in equipment maintenance, The cost of each maintenance, The man-hours required for each maintenance;

[0051] Calculating maintenance and repair costs is a key management practice that helps companies effectively control costs, improve asset performance, plan budgets, ensure supply chain reliability, and gain a competitive advantage in the market. By analyzing and monitoring maintenance costs, companies can make informed decisions to ensure the long-term availability of assets, reduce the risk of sudden failures, and improve efficiency, thereby achieving sustainable business success.

[0052] 3. Obtaining Regional Costs

[0053] 1. Regional risk factor assessment: Conduct a comprehensive assessment of regional risk factors, including regional environment, regional conflicts, regional stability, diplomatic relations, etc. The following are relevant parameters:

[0054] Regional stability index: an assessment of regional stability, which may be obtained from regional analysis agencies; Regional risk index: an assessment of regional risk; Social instability: the degree of social unrest and protests; The regional environment index is obtained by weighting the above three factors Generally, a higher index indicates a more stable regional environment, while a lower index indicates a higher risk region. : An index of regional risk, used to assess the likelihood and impact of changes in logistics strategies in a region; regional event frequency : Frequency of regional incidents and conflicts.

[0055] 2. Business impact assessment: Assess the impact of regional risks on the business. The following are relevant parameters:

[0056] Business Criticality : Assess the sensitivity of the business to regional risks; Geographic distribution of the business : The degree of distribution of business in different geographical areas.

[0057] It should be noted that the above two influencing factors have detailed evaluation methods in the prior art, which will not be elaborated here.

[0058] 3. Calculate regional cost: Using the above parameters, regional cost can be calculated. The following is an example formula: , where is the regional cost, is the regional environmental index, is the regional risk index, is the regional event frequency, For the geographical distribution of business, is business critical;

[0059] 4. The importance of regional costs lies in the fact that regional factors have a profound impact on the operations and strategic decisions of enterprises and organizations. By quantifying and evaluating regional costs, enterprises can better understand and manage regional risks, avoid unnecessary losses, develop adaptive strategies, and ensure the stability and sustainability of business. Regional cost calculations help enterprises consider regional factors more comprehensively, identify potential threats in advance, and make wise decisions in unstable regional environments to protect interests and maintain reputation.

[0060] 4. Establish a cost assessment model

[0061] The above three methods obtain the parameters for judging freight costs from the perspectives of supply chain cost, maintenance cost and regional cost respectively, integrating supply chain cost , Maintenance cost and regional costs Freight costs are calculated in multiple directions using a weighted sum formula. The following is a calculation formula: , where For freight costs, , , It is the proportional parameter among supply chain cost, maintenance cost and regional cost. The higher the freight cost, the higher the logistics and freight cost, and the greater the need to increase revenue and reduce expenditure.

[0062] A cost threshold is set and the platform monitors freight costs in real time. When the freight costs are greater than the cost threshold, the logistics department will increase revenue and reduce costs to increase efficiency. Costs can be reduced by changing logistics routes, etc.

[0063] This embodiment introduces an online freight integrated management method. The innovation of this online freight integrated management method is that it integrates multiple key factors such as supply chain cost, maintenance cost and regional cost, and provides enterprises with comprehensive freight cost insights. This helps enterprises better manage costs, reduce risks, and improve efficiency, thereby achieving sustainable competitive advantages. The real-time cost monitoring and risk management features of this method make it a key tool in the modern global freight and logistics industry, helping enterprises make wise decisions in the face of complex challenges and ensure business success.

[0064] Example 2: There are still technical problems in the above Example 1. The above method only introduces how to monitor costs, but does not provide a way to reduce costs. This online freight comprehensive management method reduces costs by selecting the optimal route. Selecting the optimal route is crucial to the cost and efficiency of freight transportation. Optimizing routes can help avoid traffic congestion, reduce mileage, save fuel and time, and thus reduce costs. When the freight cost in Example 1 is higher than the cost threshold, the regional cost is uncontrollable, and the labor and maintenance costs affect efficiency. Reducing the supply chain cost is a more feasible method; the following is a more specific route optimization plan:

[0065] 1. Route Optimization Data Collection and Preparation

[0066] 1. Get the vehicle cost from i to j

[0067] Collect location information: Collect the geographic location data of the starting point, destination and possible stopover points of the goods, and combine the delivery points of all starting points, destinations and stopover points into a set N. For example, i and j are subsets of N, and the distance from point i to point j is expressed as Indicates the unit: kilometers.

[0068] Vehicle information: Collect available transport vehicle information, including different types of vehicles, load capacity, fuel efficiency and cost, group all vehicles into a set M, and use the cost rate of vehicle k as , expressed in currency / km; vehicle load capacity expressed in Indicated in tons.

[0069] Cargo characteristics: Obtain the specific characteristics of the cargo, including weight, volume, special requirements (such as refrigerated cargo), etc. The unit is: ton.

[0070] The above parameters are used to calculate the vehicle cost through the following formula , where is the cost of using vehicle k from location i to location j, is the distance from location i to location j, is the cost rate of vehicle k, represents the rounding operation of dividing the cargo into transport batches suitable for the maximum load of vehicle k.

[0071] 2. Get the fuel cost from i to j

[0072] When obtaining vehicle information, the fuel consumption rate of vehicle k is expressed as Indicates the unit: liter / kilometer, and obtains real-time regional fuel costs , unit: currency / liter.

[0073] Integrating the above parameters, the fuel cost from i to j is calculated by the following formula: , where is the fuel cost from i to j, is the cargo weight, It is a factor that indicates the impact of cargo weight on fuel consumption. This factor can be determined based on actual conditions and is usually a positive value, indicating that as the cargo weight increases, fuel consumption increases.

[0074] 3. Obtain other influencing factors

[0075] Time Window: Determine the time window for each delivery location, i.e. the time range t within which the goods can be received.

[0076] Decision variable: The decision variable indicates whether to use vehicle k from location i to location j at time t. Usually there is only one decision variable. For each possible combination of location i to location j and vehicle k, a binary decision variable can be defined , indicating whether to select this combination.

[0077] =1, indicating that vehicle k is used to travel from location i to location j at time t.

[0078] =0, indicating that vehicle k is not used to travel from location i to location j at time t.

[0079] 2. Design mathematical model:

[0080] 1. Objective function formulation: Based on the above data, a mathematical objective function is established to minimize the freight cost: the objective function is e.g. , where For freight costs;

[0081] 2. Establish various constraints to ensure that delivery time windows, vehicle load capacity, road network and other requirements are met. Constraints include: ensuring that each delivery location is delivered within the appropriate time window; considering the vehicle's load capacity to ensure that the maximum load is not exceeded; ensuring that each location is visited by only one vehicle; considering the actual road network and traffic congestion.

[0082] 3. Mathematical Optimization Solution and Implementation

[0083] 1. Solver selection: Select an applicable mathematical optimization solving tool, such as a linear programming or integer programming solver; Solving: Input the established mathematical model into the solver and run the optimization process to obtain the best path and allocation solution;

[0084] 2. Result analysis and implementation: Path and allocation plan: Analyze the optimization results to obtain the best path and vehicle allocation plan; Actual operation plan: Develop an actual operation plan based on the optimization results, including departure time, path, delivery sequence, etc.; Implementation and monitoring: Implement the plan and monitor the progress of cargo transportation in real time, and make adjustments as needed;

[0085] This embodiment introduces an online freight comprehensive management method and designs a route optimization scheme. The route optimization scheme adopts mathematical modeling and optimization methods to achieve optimal path planning and vehicle allocation in the freight process by comprehensively considering key factors such as the distance between locations, vehicle costs, fuel consumption, and time windows. This not only reduces transportation costs, but also improves service quality, reduces resource waste, and enhances the market competitiveness of enterprises. Through real-time route optimization, enterprises can better adapt to market changes, improve efficiency, and provide customers with better services.

[0086] Example 3, please refer to Figure 2 As shown, the online freight integrated management platform described in this embodiment includes: a freight cost collection system, a real-time cost monitoring system, a cost alarm system, a route collection system, and a route optimization system;

[0087] The freight cost collection system is used to collect and analyze supply chain costs, maintenance costs, and regional costs to obtain freight costs;

[0088] The real-time cost monitoring system is used to monitor freight costs in real time. When it is detected that the freight costs are greater than the set cost threshold, the cost alarm system is triggered to warn the manager that the costs are too high;

[0089] The route collection system is used to collect and prepare route optimization data, with the goal of minimizing freight costs, combining various constraints, and establishing a mathematical objective function to obtain the best route solution;

[0090] The route optimization system is used to monitor and implement the best route in real time to reduce freight costs when a cost reduction request is received.

[0091] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0092] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0093] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0094] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0095] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0096] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An online freight integrated management method, characterized in that: The following steps are involved: Step S1, obtaining the supply chain data and transportation demand data of goods from the review of contracts and agreements, obtaining the equipment maintenance parameters and manual maintenance parameters through monitoring, obtaining the regional environmental data through the assessment of regional risk factors, and obtaining the business impact data through the assessment of the regional impact on the business; Step S2, analyzing the supply chain cost based on the supply chain data and transportation demand data of the goods, analyzing the maintenance cost based on the equipment maintenance parameters and manual maintenance parameters, and analyzing the regional cost based on the regional environment data and business impact data; Step S3, integrating and analyzing the freight cost from the perspectives of supply chain cost, maintenance cost, and regional cost, and making a cost judgment based on the comparison between the freight cost and the preset cost threshold, and deciding whether to optimize the route based on the judgment result; Step S4, collecting route optimization data; Step S5, based on the route optimization data, with the goal of minimizing freight costs, setting constraints, establishing a mathematical objective function, and obtaining a plan for the best route; In step S1, the supply chain data of the goods includes transportation rates, storage rates, and transit fees, and the transportation demand data includes transportation distance, cargo weight, delivery time requirements, and storage time; Equipment maintenance parameters include the cost of each maintenance, the man-hours required for each maintenance, and the number of maintenance required per year. Labor cost parameters include the hourly wage rate of employees and the man-hours of employees involved in equipment maintenance. Regional environmental data include regional environmental index, regional risk index, and regional event frequency, and business impact data include business criticality and business geographical distribution; In step S2, the specific method for obtaining the supply chain cost, maintenance cost, and regional cost is as follows: Supply chain cost: calculate the transportation cost by multiplying the transportation rate, distance and cargo weight; calculate the storage cost by multiplying the storage rate, cargo weight and storage time; calculate the supply chain cost by adding the transportation cost, storage cost and transit fee; Maintenance cost: multiply the hourly wage rate of employees and the hours they spend on equipment maintenance to get the labor cost; multiply the cost of each maintenance and the hours required for each maintenance to get the single maintenance machine cost; add the single maintenance machine cost and the labor cost to get the single maintenance cost; calculate the maintenance cost by summing the single maintenance cost and the number of maintenance times required each year; Regional cost: Integrate regional environmental index, regional risk index, regional event frequency, business geographical distribution, and business criticality, and multiply and add them together to obtain regional cost; In step S3, the method for obtaining the freight cost is as follows: integrating and analyzing the supply chain cost, maintenance cost and regional cost, and calculating the freight cost through a weighted sum formula; monitoring the freight cost in real time, and optimizing the logistics route when the freight cost is greater than a preset cost threshold; In step S4, the data acquisition method for route optimization is as follows: collect the geographical location data of the starting point, destination and intermediate stop points of the goods, and combine all the starting points, destinations and intermediate stop points into a set; Collect transport vehicle information, including vehicle type, load capacity, and vehicle cost rate, and group all vehicle types into a set; obtain the weight of the goods between the two locations; multiply and sum the distance between the two locations, the vehicle cost rate, the vehicle load capacity, and the weight of the goods between the two locations to obtain the vehicle cost; Obtain vehicle information, including obtaining the fuel consumption rate of the corresponding vehicle, obtaining real-time regional fuel costs, and integrating the vehicle's fuel consumption rate and real-time regional fuel cost analysis to obtain fuel costs; Get the time limit for the goods delivery point; Obtain decision variables. The method of obtaining decision variables is as follows: for each combination of driving a vehicle from one location to another, define a binary value to indicate whether the combination is selected. The binary value range is 1 and 0. 1 means selecting the combination, and 0 means not selecting the combination. In step S5, the method for obtaining the optimal route solution is as follows: integrating vehicle cost, fuel cost, decision variables, and the time limit of the cargo delivery point, with the goal of minimizing the freight cost, setting constraints 1. Each delivery location is delivered within the time limit; 2. The maximum load does not exceed the vehicle's load capacity; 3. Ensure that each location is visited by only one vehicle; establish a mathematical objective function and select the mathematical model with the lowest freight cost as the optimal route.

2. An online freight integrated management platform, used to implement the online freight integrated management method according to claim 1, characterized in that: Including freight cost collection system, real-time cost monitoring system, cost alarm system, route collection system and route optimization system; The freight cost collection system is used to collect and analyze supply chain costs, maintenance costs, and regional costs to obtain freight costs; The real-time cost monitoring system is used to monitor freight costs in real time; when it is detected that the freight costs are greater than a set cost threshold, the cost alarm system is triggered to warn the manager that the costs are too high; The route collection system is used to collect and prepare route optimization data, integrate vehicle costs and fuel costs to minimize freight costs, combine constraints, and establish a mathematical objective function to obtain the best route solution; The route optimization system is used to monitor and implement the best route in real time to reduce freight costs when a cost reduction request is received.

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