Logistics e-commerce platform driver team picking method

The method of forming driver teams on a logistics e-commerce platform addresses the challenge of matching single drivers with bulk cargo orders by optimizing vehicle-cargo matching and reducing idle trips, enhancing efficiency and customer satisfaction.

CN119204507APending Publication Date: 2024-12-27中储智运科技股份有限公司
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Patent Information

Application Number
CN202411231230.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-04
Publication Date
2024-12-27

AI Technical Summary

Technical Problem

Existing logistics e-commerce platforms face challenges in matching single drivers with bulk cargo orders, leading to idle costs, multiple dispatches, and increased transportation costs due to insufficient freight capacity and empty trips.

Method used

A method for drivers to form teams on a logistics e-commerce platform, allowing them to collectively pick up orders by registering, forming or joining teams, matching vehicles and cargo based on maximum total shipping weight, and providing real-time feedback.

Benefits of technology

Reduces empty driving rates, enhances vehicle utilization efficiency, optimizes transportation capacity, and improves response speed and customer satisfaction through team collaboration and transparent information flow.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a logistics e-commerce platform driver team picking method, and relates to the technical field of logistics transportation, and the method comprises the steps: S1, a carrier driver needs to register on a logistics e-commerce platform, and completes the identity authentication and the filling of vehicle information; s2, the logistics e-commerce platform creates a driver team hall, drivers establish a new team or join an existing driver team, and the platform automatically summarizes driver information and vehicle information in the team; and S3, the logistics e-commerce platform obtains a bulk cargo transportation order sent by a cargo owner, and after auditing, order information is forwarded to a driver team hall. According to the method, the deadhead ratio is effectively reduced and the utilization efficiency of the vehicle is improved through team picking of drivers and matching of the vehicle and the goods, so that the overall transportation capacity, rapid order matching and clear information circulation are optimized, the drivers can respond to the request in time, the response speed of bulk goods order processing and the overall transportation timeliness are improved, and the transportation efficiency is improved. The transportation cost is reduced.
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Description

Technical Field

[0001] The present invention relates to the field of logistics and transportation technology, and in particular to a method for drivers of a logistics e-commerce platform to form a team to pick up orders. Background Art

[0002] With the rapid development of Internet information technology, the road freight e-commerce platform optimizes the allocation of China's road freight capacity resources with its high-quality services, and gradually replaces the traditional freight transaction form, which to a certain extent solves the problem of cargo owners' difficulty in finding vehicles.

[0003] At present, logistics e-commerce has a wide variety of goods, and transportation needs often change. In some cases, the freight capacity of a single driver may not be able to meet the needs of orders. For shippers with bulk goods, it is difficult for existing vehicle-cargo matching platforms to find suitable trucks, and drivers may need to bear higher idle costs due to not receiving enough orders. In addition, multiple dispatches and repeated empty trips may occur during transportation, thereby increasing transportation costs. Summary of the invention

[0004] The purpose of the present invention is to provide a method for drivers of a logistics e-commerce platform to form a team to pick up orders, so as to solve the problem that the freight capacity of a single driver may not be able to meet the needs of orders proposed in the above background technology. For shippers with bulk goods, it is difficult for existing vehicle-cargo matching platforms to find suitable trucks, and drivers may need to bear higher idle costs due to not receiving enough orders. In addition, multiple dispatches and repeated empty trips may occur during the transportation process, thereby increasing the transportation cost.

[0005] To achieve the above purpose, the present invention provides the following technical solution: a method for drivers of a logistics e-commerce platform to form a team to pick up orders, comprising the following steps:

[0006] S1. The carrier driver needs to register on the logistics e-commerce platform and complete identity authentication and fill in vehicle information;

[0007] S2. The logistics e-commerce platform creates a driver team hall, where drivers form new teams or join existing driver teams. The platform automatically aggregates driver and vehicle information within the team.

[0008] S3. The logistics e-commerce platform obtains the bulk cargo transportation order issued by the cargo owner, and after review, the order information is forwarded to the driver team hall;

[0009] S4. Drivers of online idle fleets check orders through the APP or platform website and apply for orders. The platform matches the fleets that apply for orders based on the maximum total shipping weight according to the order information and fleet transportation information;

[0010] S5. After the vehicle-cargo matching is completed, the order allocation information is generated, and the team drivers need to jointly confirm and select the order within the specified time;

[0011] S6. Team drivers pick up and deliver goods according to the assigned orders;

[0012] S7. After completing the order, the driver needs to track the order on the platform and provide timely feedback on the order processing status. The platform will review and settle the fees.

[0013] Preferably, in step S1, the vehicle information includes vehicle type, cargo capacity, vehicle status, vehicle photos and insurance information.

[0014] Preferably, in step S2, the driver forming a new team or joining an existing driver team includes the following steps:

[0015] S21. The driver logs into the logistics e-commerce platform to check the existing team;

[0016] S22. The platform lists all existing driver teams, including team name, number of members, and team leader information. If a suitable team is found, the user can apply to join.

[0017] S23. If there is no suitable team, a new driver team is created. After the team is created, the driver can invite other drivers to join through the platform email, link or invitation code;

[0018] S24. Team members can leave the team at any time and must follow the team's internal regulations and procedures; it promotes collaboration among drivers, allowing drivers to quickly find suitable teams and improve the efficiency of resource integration.

[0019] Preferably, in step S3, the order information includes the type and quantity of goods, shipping and receiving addresses, shipping time requirements, remuneration or shipping costs, special requirements and remarks.

[0020] Preferably, in step S4, the process of viewing orders and applying for orders is as follows: after the driver enters the team formation hall, he can view the newly released bulk cargo transportation orders. According to his own vehicle conditions, time schedule and team resources, the driver can choose whether to accept the order. If the fleet meets the transportation conditions, he can directly apply for the order. If not, the team will temporarily add a new driver to meet the transportation conditions and apply for the order.

[0021] Preferably, in step S4, the platform matches the fleet that has grabbed the order with the vehicle and cargo based on the maximum shipping total weight according to the order information and the fleet transportation information, including the following steps:

[0022] S41, the platform analyzes the transport order information and the order grabbing fleet information;

[0023] S42. The system matches vehicles and cargoes based on the maximum total shipping weight, which can efficiently achieve vehicle and cargo matching based on the maximum total shipping weight, improve transportation efficiency, reduce empty load rate, maximize the use of vehicle carrying capacity, and improve customer satisfaction. When implementing it specifically, it can be adjusted and optimized according to platform requirements;

[0024] S43, generating a qualified fleet list based on the vehicle-cargo matching result;

[0025] S44. Issue order confirmation to qualified fleets and complete fleet order confirmation in order of confirmation time;

[0026] S45. The fleet successfully grabs the order, the system updates the order status and enters the fleet information into the order.

[0027] Preferably, in step S42, matching vehicles and cargoes based on maximizing the total shipping weight includes the following steps:

[0028] ①. Clean and organize the collected order and vehicle data, and calculate the remaining load capacity and volume of each vehicle;

[0029] ②. Filter out qualified vehicles based on the weight and space requirements of the order:

[0030] a. Only select vehicles with a load capacity ≥ the weight of the ordered cargo;

[0031] b. If applicable, further confirm whether the vehicle’s volume can accommodate the corresponding cargo;

[0032] ③. For the selected vehicles, calculate the potential to maximize the total shipping weight and calculate the matching value:

[0033]

[0034] Where: P is the matching value, d t is the total weight of the order, w t is the remaining load of the available vehicle, δ is the priority coefficient;

[0035] ④. Sort the vehicles according to the calculated matching value and list the eligible vehicles from high to low.

[0036] Preferably, in step S5, the system integrates the matched order information and the available fleet information to generate order allocation information, including: order ID, cargo information (weight, volume, type), shipping location and receiving location, transportation time requirements, and information of vehicles and drivers involved in the matching. The platform can effectively allocate orders and ensure that team drivers jointly confirm and select orders within the specified time, thereby ensuring team collaboration and shared responsibility and enhancing the transparency and reliability of transportation.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] 1. In this method, the driver team picks up orders and matches the vehicle with the cargo, which effectively reduces the empty driving rate and improves the utilization efficiency of the vehicle, thereby optimizing the overall transportation capacity. The fast matching of orders and clear information flow enable the driver to respond to requests in a timely manner, improve the response speed of bulk cargo order processing and the overall transportation timeliness, and reduce transportation costs.

[0039] 2. In this method, the team building function is used to enhance the cooperation between drivers, forming a strong distribution team, improving the team's response ability and efficiency, and the efficient order processing and timely feedback mechanism improve the satisfaction of the shippers and enhance their trust and dependence on the logistics e-commerce platform.

[0040] 3. The method of driver teaming to pick up orders in the present invention, through system construction and information flow optimization, not only improves the efficiency and coordination ability of the entire logistics chain, but also establishes a more trusting and reliable relationship between drivers and cargo owners, laying the foundation for the digital transformation of the logistics industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 The present invention is a flow chart of a method for drivers to form a team to pick orders on a logistics e-commerce platform. DETAILED DESCRIPTION

[0042] 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 implementation regulations described 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.

[0043] See also Figure 1 The present invention provides a technical solution: a method for drivers of a logistics e-commerce platform to form a team to pick up orders, comprising the following steps:

[0044] Step 1: The carrier driver needs to register on the logistics e-commerce platform and complete identity authentication and fill in the vehicle information; the vehicle information includes vehicle type, cargo capacity, vehicle status, vehicle photos and insurance information, laying the foundation for subsequent vehicle-cargo matching.

[0045] Step 2: The logistics e-commerce platform creates a driver team hall, where drivers form new teams or join existing driver teams. The platform automatically aggregates driver and vehicle information within the team, promoting collaboration between drivers. Drivers can quickly find the right team, improving resource integration efficiency.

[0046] The following steps are involved in a driver forming a new team or joining an existing driver team:

[0047] 21) The driver logs into the logistics e-commerce platform to check the existing team;

[0048] 22) The platform lists all existing driver teams, including team name, number of members, and team leader information. If a suitable team is found, apply to join;

[0049] 23) If there is no suitable team, a new driver team will be created. After the team is created, the driver can invite other drivers to join through the platform email, link or invitation code;

[0050] 24) Team members may withdraw from the team at any time and must follow the team’s internal rules and procedures.

[0051] Step 3: The logistics e-commerce platform obtains the bulk cargo transportation order issued by the shipper, and forwards the order information to the driver team hall after review to ensure that the driver obtains the transportation task information as soon as possible; among them, the order information includes the type and quantity of goods, shipping and receiving addresses, transportation time requirements, remuneration or transportation costs, special requirements and remarks.

[0052] Step 4: Drivers of the online idle fleet check the orders through the APP or platform website and apply for orders. The platform matches the fleet that takes orders with the maximum vehicle-cargo match based on the total shipping weight according to the order information and the fleet transportation information. By matching drivers with vehicles and cargo, the idle driving rate is effectively reduced, the utilization efficiency of vehicles is improved, and the overall transportation capacity is optimized.

[0053] The process of viewing orders and applying for orders is as follows: after entering the team formation hall, the driver can view the newly released bulk cargo transportation orders. According to his vehicle conditions, time schedule and team resources, the driver can choose whether to accept the order. If the fleet meets the transportation conditions, the driver can directly apply for the order. If not, the team will temporarily add a new driver to meet the transportation conditions and apply for the order.

[0054] Among them, the platform matches the fleet that grabs the order with the maximum vehicle-cargo weight based on the order information and the fleet transportation information, including the following steps:

[0055] 41) The platform analyzes the transport order information and the order grabbing fleet information;

[0056] 42) The system matches vehicles and cargoes based on the maximum total shipping weight, which can efficiently achieve vehicle and cargo matching based on the maximum total shipping weight, improve transportation efficiency, reduce empty load rate, maximize the use of vehicle carrying capacity, and improve customer satisfaction. When implementing it specifically, it can be adjusted and optimized according to platform requirements;

[0057] Among them, matching vehicles and cargoes based on maximizing the total shipping weight includes the following steps:

[0058] ①. Clean and organize the collected order and vehicle data, and calculate the remaining load capacity and volume of each vehicle;

[0059] ②. Filter out qualified vehicles based on the weight and space requirements of the order:

[0060] a. Only select vehicles with a load capacity ≥ the weight of the ordered cargo;

[0061] b. If applicable, further confirm whether the vehicle’s volume can accommodate the corresponding cargo;

[0062] ③. For the selected vehicles, calculate the potential to maximize the total shipping weight and calculate the matching value:

[0063]

[0064] Where: P is the matching value, d t is the total weight of the order, w t is the remaining load of the available vehicle, δ is the priority coefficient;

[0065] ④. Sort the vehicles according to the calculated matching value and list the eligible vehicles from high to low;

[0066] 43) Generate a list of qualified fleets based on the vehicle-cargo matching results;

[0067] 44) Issue order confirmation to qualified fleets and complete fleet confirmation in order of confirmation time;

[0068] 45) The fleet successfully grabs the order, and the system updates the order status and enters the fleet information into the order.

[0069] Step 5. After completing the vehicle-cargo matching, the order allocation information is generated. The team drivers need to jointly confirm and select the order within the specified time. The platform can effectively allocate the order and ensure that the team drivers jointly confirm and select the order within the specified time, ensuring the team's collaborative work and shared responsibility, and enhancing the transparency and reliability of transportation; the system integrates the matched order information and available fleet information to generate order allocation information, including: order ID, cargo information (weight, volume, type), shipping location and receiving location, transportation time requirements, and information on vehicles and drivers involved in the matching.

[0070] Step 6: Team drivers pick up and deliver goods according to the assigned orders, which improves the overall efficiency of the transportation process. Efficient order processing and timely feedback mechanisms improve the satisfaction of cargo owners and enhance their trust and reliance on logistics e-commerce platforms.

[0071] Step 7. After completing the order, the driver needs to track the order on the platform and provide timely feedback on the order processing status. The platform will review and settle the fees. By analyzing the order and vehicle data, the platform can continuously optimize the matching algorithm and operation process, achieve continuous improvement, and improve the transparency and trust of logistics and transportation;

[0072] In this method, by forming teams of drivers and matching vehicles and cargo, the empty driving rate is effectively reduced, the utilization efficiency of vehicles is improved, and the overall transportation capacity is optimized. The rapid matching of orders and clear information flow enable drivers to respond to requests in a timely manner, thereby improving the response speed of order processing and the overall transportation timeliness. Through the team building function, the cooperation between drivers is enhanced, a strong distribution team is formed, and the team's response ability and efficiency are improved. The efficient order processing and timely feedback mechanism improve the satisfaction of cargo owners and enhance their trust and dependence on the logistics e-commerce platform. The platform can continuously optimize the matching algorithm and operation process through the analysis of order and vehicle data to achieve continuous improvement. Through real-time monitoring and feedback mechanism, the transparency of the transportation process is improved, the safety of goods and the implementation of driver's responsibilities are ensured. The driver team order collection method of the present invention not only improves the efficiency and coordination ability of the entire logistics chain through system construction and information flow optimization, but also establishes a more trusting and reliable relationship between drivers and cargo owners, laying the foundation for the digital transformation of the logistics industry.

[0073] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. 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. A method for drivers to form a team to pick orders on a logistics e-commerce platform, characterized in that: The following steps are involved: S1. The carrier driver needs to register on the logistics e-commerce platform and complete identity authentication and fill in vehicle information; S2. The logistics e-commerce platform creates a driver team hall, where drivers form new teams or join existing driver teams. The platform automatically aggregates driver and vehicle information within the team. S3. The logistics e-commerce platform obtains the bulk cargo transportation order issued by the cargo owner, and after review, the order information is forwarded to the driver team hall; S4. Drivers of online idle fleets check orders through the APP or platform website and apply for orders. The platform matches the fleets that apply for orders based on the maximum total shipping weight according to the order information and fleet transportation information; S5. After the vehicle-cargo matching is completed, the order allocation information is generated, and the team drivers need to jointly confirm and select the order within the specified time; S6. Team drivers pick up and deliver goods according to the assigned orders; S7. After completing the order, the driver needs to track the order on the platform and provide timely feedback on the order processing status. The platform will review and settle the fees.

2. A method for picking orders by forming a team of drivers on a logistics e-commerce platform according to claim 1, characterized in that: In step S1, the vehicle information includes vehicle type, cargo capacity, vehicle status, vehicle photo and insurance information.

3. A method for picking orders by forming a team of drivers on a logistics e-commerce platform according to claim 1, characterized in that: In step S2, the driver forming a new team or joining an existing driver team includes the following steps: S21. The driver logs into the logistics e-commerce platform to check the existing team; S22. The platform lists all existing driver teams, including team name, number of members, and team leader information. If a suitable team is found, the user can apply to join. S23. If there is no suitable team, a new driver team is created. After the team is created, the driver can invite other drivers to join through the platform email, link or invitation code; S24. Team members may withdraw from the team at any time and must follow the team's internal rules and procedures.

4. A method for picking orders by forming a team of drivers on a logistics e-commerce platform according to claim 1, characterized in that: In step S3, the order information includes the type and quantity of goods, shipping and receiving addresses, shipping time requirements, remuneration or shipping costs, special requirements and remarks.

5. A method for picking orders by forming a team of drivers on a logistics e-commerce platform according to claim 1, characterized in that: In step S4, the process of viewing orders and applying for orders is as follows: after the driver enters the team formation hall, he can view the newly released bulk cargo transportation orders. According to his vehicle conditions, time schedule and team resources, the driver can choose whether to accept the order. If the fleet meets the transportation conditions, he can directly apply for the order. If not, the team will temporarily add a new driver to meet the transportation conditions and apply for the order.

6. A method for picking orders by forming a team of drivers on a logistics e-commerce platform according to claim 5, characterized in that: In step S4, the platform matches the fleet that has grabbed the order with the vehicle and cargo based on the maximum shipping total weight according to the order information and the fleet transportation information, including the following steps: S41, the platform analyzes the transport order information and the order grabbing fleet information; S42, the system matches vehicles and cargoes based on maximizing the total shipping weight; S43, generating a qualified fleet list based on the vehicle-cargo matching result; S44. Issue order confirmation to qualified fleets and complete fleet order confirmation in order of confirmation time; S45. The fleet successfully grabs the order, and the system updates the order status and enters the fleet information into the order.

7. A method for picking orders by forming a team of drivers on a logistics e-commerce platform according to claim 6, characterized in that: In step S42, the vehicle-cargo matching based on maximizing the total shipping weight includes the following steps: ①. Clean and organize the collected order and vehicle data, and calculate the remaining load capacity and volume of each vehicle; ②. Filter out qualified vehicles based on the weight and space requirements of the order: a. Only select vehicles with a load capacity ≥ the weight of the ordered cargo; b. If applicable, further confirm whether the vehicle’s volume can accommodate the corresponding cargo; ③. For the selected vehicles, calculate the potential to maximize the total shipping weight and calculate the matching value: Where: P is the matching value, d t is the total weight of the order, w t is the remaining load of the available vehicle, δ is the priority coefficient; ④. Sort the vehicles according to the calculated matching value and list the eligible vehicles from high to low.

8. A method for picking orders by forming a team of drivers on a logistics e-commerce platform according to claim 1, characterized in that: In step S5, the generated order allocation information includes: order ID, cargo information (weight, volume, type), shipping location and receiving location, transportation time requirements, and information of vehicles and drivers involved in the matching.