Intelligently optimized cross-border e-commerce logistics distribution path planning method and system

Abstract

The invention relates to the technical field of cross-border e-commerce logistics distribution, and discloses an intelligent optimized cross-border e-commerce logistics distribution path planning method, and the method comprises the following steps: obtaining the information of a to-be-distributed cross-border user, and according to the cross-border receiving city of the to-be-distributed cross-border user, obtaining the information of the to-be-distributed cross-border user; and calculating the distance between each cross-border receiving city and the original delivery address and the delivery time of the cross-border goods. According to the intelligent optimized cross-border e-commerce logistics distribution path planning method and system, a cross-border city is divided into a plurality of regions through the cross-border city where cross-border users to be distributed are located according to the arrangement of a business division unit and a path generation management unit, a plurality of deliverymen are distributed in each region, and when the regions are divided, the delivery efficiency is improved, and the delivery efficiency is improved. The distribution task load in the region is fully considered, so that the distribution tasks in different regions are averaged as much as possible, the distribution task load in each region is balanced, and unified management of multiple regions is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of cross-border e-commerce logistics and distribution, and specifically to an intelligently optimized cross-border e-commerce logistics and distribution path planning method and system. Background Art

[0002] For enterprises, the open, multi-dimensional and three-dimensional multilateral economic and trade cooperation model established by cross-border e-commerce has greatly broadened the path to enter the international market, greatly promoted the optimal allocation of multilateral resources and the mutual benefit and win-win situation among enterprises; for consumers, cross-border e-commerce makes it very easy for them to obtain information from other countries and buy high-quality and low-priced goods.

[0003] According to an Internet-based cross-border e-commerce service platform mentioned in the invention patent with Chinese patent application number 202210590754.1, the Internet-based cross-border e-commerce service platform is not suitable for cross-border e-commerce when in use, and cannot plan the optimal route for the delivery of goods according to the location of cross-border users, so that cross-border goods cannot reach the hands of cross-border users in time, reducing the efficiency of transportation. Therefore, it is necessary to propose an intelligently optimized cross-border e-commerce logistics distribution path planning method and system to solve the above-mentioned problems. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the shortcomings of the prior art, the present invention provides an intelligently optimized cross-border e-commerce logistics distribution path planning method and system, which has the advantages of being able to arrange the optimal path for the delivery of goods according to the location information of cross-border users, thereby solving the problem of not being able to plan the optimal path for the delivery of goods according to the location of cross-border users.

[0005] (II) Technical solution In order to achieve the above-mentioned goal of being able to arrange the optimal path for delivering goods according to the location information of cross-border users, the present invention provides the following technical solutions: an intelligently optimized cross-border e-commerce logistics distribution path planning method, the path planning method comprising the following steps: (1) Obtain the information of the cross-border user to be delivered, and calculate the distance and delivery time between each cross-border delivery city and the original shipping address of the cross-border goods based on the cross-border delivery city of the cross-border user to be delivered; (2) Determine the order of dispatching the goods to be delivered to the cross-border users based on the cross-border users’ deadline for delivery, the quantity of goods, and the cargo capacity of the cargo ship or aircraft; (3) Calculate the dispatch of the cargo ship or aircraft in advance and obtain the distribution path of the cargo ship or aircraft based on the cargo capacity of the cargo ship or aircraft; (4) After the cargo ship or aircraft transports the cross-border goods to the relevant overseas receiving cities, the cross-border cities are divided into delivery areas according to the specific receiving addresses of the cross-border users to be delivered, and the distance and delivery time between the cross-border goods to each cross-border user to be delivered and the cross-border receiving city are calculated. The amount of goods for each cross-border user to be delivered and the cargo capacity of the delivery vehicle are determined for goods delivery; (5) Finally, the dispatching status of the delivery vehicle is calculated in advance and the delivery route of the delivery vehicle is obtained.

[0006] Preferably, the information of the cross-border user to be delivered is the location information of the cross-border user to be delivered.

[0007] Preferably, the delivery of goods to be delivered to cross-border users includes the following steps: According to the situation of each cross-border receiving city area, the cross-border users to be delivered will be divided into several business areas; Assign several business areas to each delivery person, with at least one delivery person in each area, and divide the goods to be delivered to cross-border users into several business areas for distribution.

[0008] Preferably, the dispatching of the cargo ship or aircraft includes the following methods: Based on the cargo volume of each cross-border receiving city, the quantity of cargo required by cargo ships or aircraft to transport the cargo is determined, and cargo ships or aircraft are dispatched to deliver the cargo to the cross-border receiving cities.

[0009] Preferably, the dispatching of the delivery vehicle includes the following methods: Based on the amount of goods to be delivered to cross-border users, determine the number of delivery vehicles required and dispatch delivery vehicles to deliver the goods.

[0010] An intelligently optimized cross-border e-commerce logistics distribution path planning system, the path planning system comprising: An acquisition unit, used to acquire user information of a cross-border user to be delivered; A determination unit, configured to first determine the location of the cross-border delivery city and the amount of goods according to the user information acquired by the acquisition unit, and then determine the cut-off delivery time, delivery address and amount of goods corresponding to the cross-border user to be delivered; A calculation unit, configured to calculate, based on the delivery address obtained by the determination unit, the transportation distance and transportation time between the original place of shipment and the cross-border delivery city, and then calculate the transportation distance and transportation time for the cross-border user to be delivered; Business division units are used to divide cross-border delivery cities into several business areas; The path generation management unit is used to select a path algorithm to calculate the delivery route within the delivery area, and obtain the estimated time for delivery completion based on the delivery route.

[0011] (III) Beneficial effects Compared with the prior art, the present invention provides an intelligently optimized cross-border e-commerce logistics distribution path planning method and system, which has the following beneficial effects: 1. The intelligently optimized cross-border e-commerce logistics distribution route planning method and system determines the corresponding receipt time, receipt location and cargo volume of the cross-border users to be delivered according to the user information of the cross-border users to be delivered, and calculates the transportation distance and transportation time between the cross-border users to be delivered according to the receipt geology. Finally, referring to the transportation time between the cross-border users to be delivered and the receipt time of the cross-border users to be delivered and other time factors, and combining the transportation distance between the cross-border users to be delivered, the cargo demand of the cross-border users to be delivered and the scheduled truck load of each truck, etc., a comprehensive calculation is made to obtain the vehicle scheduling information including the logistics distribution route, which takes into account the transportation time between the cross-border users to be delivered and the receipt time of the cross-border users to be delivered, so as to meet the delivery time requirements of the cross-border users to be delivered, and obtain the logistics distribution route that meets the actual logistics needs.

[0012] 2. The intelligently optimized cross-border e-commerce logistics distribution path planning method and system, according to the settings of the business division unit and the path generation management unit, divides the cross-border city into several areas according to the cross-border city where the cross-border user to be delivered is located, and assigns multiple delivery personnel to each area. At the same time, when dividing the area, the delivery task volume in the area is fully considered, so that the delivery tasks in different areas are as average as possible, and the delivery task load in each area is balanced, which is convenient for unified management of multiple areas; and when each delivery person performs express delivery to each area, the delivery address of each cross-border user to be delivered can be planned on the path through the path generation unit, so that each delivery person can deliver the goods on a certain path, avoiding the delivery person from taking the same route, thereby improving the delivery efficiency, and solving the problem of not being able to plan the optimal path for the delivery of goods according to the location of the cross-border user. The calculation unit adopts the geographical location service API, and can obtain the distance between the cross-border receiving city and the original shipping city by calling the API of the geographical location service such as Gaode Map, Baidu Map or Tencent Map, usually providing longitude and latitude information, and can calculate the distance between the two points through the API. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 This is a structural flow chart of the logistics distribution path planning method of the present invention; Figure 2 It is a schematic diagram of the structure of the logistics distribution path planning system of the present invention. DETAILED DESCRIPTION

[0014] 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.

[0015] See also Figure 1-2 , an intelligent optimization cross-border e-commerce logistics distribution path planning method, the path planning method includes the following steps: (1) Obtain the information of the cross-border user to be delivered, and calculate the distance and delivery time between each cross-border delivery city and the original shipping address of the cross-border goods based on the cross-border delivery city of the cross-border user to be delivered; (2) Determine the order of dispatching the goods to be delivered to the cross-border users based on the cross-border users’ deadline for delivery, the quantity of goods, and the cargo capacity of the cargo ship or aircraft; (3) Calculate the dispatch of the cargo ship or aircraft in advance and obtain the distribution path of the cargo ship or aircraft based on the cargo capacity of the cargo ship or aircraft; (4) After the cargo ship or aircraft transports the cross-border goods to the relevant overseas receiving cities, the cross-border cities are divided into delivery areas according to the specific receiving addresses of the cross-border users to be delivered, and the distance and delivery time between the cross-border goods to each cross-border user to be delivered and the cross-border receiving city are calculated. The amount of goods for each cross-border user to be delivered and the cargo capacity of the delivery vehicle are determined for goods delivery; (5) Finally, calculate the dispatching status of the delivery vehicle in advance and obtain the delivery path of the delivery vehicle. An intelligently optimized cross-border e-commerce logistics distribution path planning system, the path planning system comprising: An acquisition unit, used to acquire user information of a cross-border user to be delivered; A determination unit, configured to first determine the location of the cross-border delivery city and the amount of goods according to the user information acquired by the acquisition unit, and then determine the cut-off delivery time, delivery address and amount of goods corresponding to the cross-border user to be delivered; A calculation unit, configured to calculate, based on the delivery address obtained by the determination unit, the transportation distance and transportation time between the original place of shipment and the cross-border delivery city, and then calculate the transportation distance and transportation time for the cross-border user to be delivered; Business division units are used to divide cross-border delivery cities into several business areas; The path generation management unit is used to select a path algorithm to calculate the delivery route within the delivery area, and obtain the estimated time for delivery completion based on the delivery route.

[0016] In the case implementation, the receipt time, receipt location and cargo volume corresponding to the cross-border users to be delivered are determined according to the user information of the cross-border users to be delivered, and the transportation distance and transportation time between the cross-border users to be delivered are calculated according to the receipt geology. Finally, referring to the transportation time between the cross-border users to be delivered and the receipt time of the cross-border users to be delivered, and combining the transportation distance between the cross-border users to be delivered, the cargo demand of the cross-border users to be delivered and the scheduled truck load of each truck, etc., the vehicle scheduling information including the logistics distribution path is comprehensively calculated, which takes into account the transportation time between the cross-border users to be delivered and the receipt time of the cross-border users to be delivered, and meets the delivery time requirements of the cross-border users to be delivered, so as to obtain the logistics distribution path that meets the actual logistics needs.

[0017] In the case implementation, according to the settings of the business division unit and the path generation management unit, the cross-border city is divided into several areas according to the cross-border city where the cross-border users to be delivered are located, and multiple delivery personnel are assigned to each area. At the same time, when dividing the area, the amount of delivery tasks in the area is fully considered, so that the delivery tasks in different areas are as evenly distributed as possible, and the delivery task load in each area is balanced, which facilitates unified management of multiple areas.

[0018] In the case implementation, by setting up a path generation management unit, when each deliveryman performs express delivery to each area, the path generation unit can be used to plan the delivery address of each cross-border user to be delivered on the path, so that each deliveryman can deliver goods on a certain path, avoiding the deliveryman from taking the same route repeatedly, thereby improving delivery efficiency.

[0019] In the case implementation, the calculation unit adopts the location service API and can obtain the distance between the cross-border receiving city and the original shipping city by calling the API of location service such as Amap, Baidu Map or Tencent Map. It usually provides longitude and latitude information and can calculate the distance between the two points through the API.

[0020] To sum up, the intelligent optimized cross-border e-commerce logistics distribution path planning method and system determines the corresponding receipt time, receipt location and cargo volume of the cross-border users to be delivered according to the user information of the cross-border users to be delivered, and calculates the transportation distance and transportation time between the cross-border users to be delivered according to the receipt geology. Finally, referring to the transportation time between the cross-border users to be delivered and the receipt time of the cross-border users to be delivered, and combining the transportation distance between the cross-border users to be delivered, the cargo demand of the cross-border users to be delivered and the scheduled truck load of each truck, etc., the vehicle scheduling information including the logistics distribution path is comprehensively calculated, and the time factors such as the transportation time between the cross-border users to be delivered and the receipt time of the cross-border users to be delivered are taken into account, so as to meet the delivery time requirements of the cross-border users to be delivered, and the logistics distribution path that meets the actual logistics needs can be obtained.

[0021] Furthermore, according to the settings of the business division unit and the path generation management unit, the cross-border city is divided into several areas according to the cross-border city where the cross-border user to be delivered is located, and multiple delivery personnel are assigned to each area. At the same time, when dividing the area, the amount of delivery tasks in the area is fully considered, so that the delivery tasks in different areas are as evenly distributed as possible, and the delivery task load in each area is balanced, so as to facilitate unified management of multiple areas; and when each delivery person performs express delivery to each area, the delivery address of each cross-border user to be delivered can be planned on the path through the path generation unit, so that each delivery person can deliver the goods on a certain path, avoiding the delivery person from taking the same route repeatedly, thereby improving the delivery efficiency and solving the problem of not being able to plan the optimal path for the delivery of goods according to the location of the cross-border user; the calculation unit adopts the location service API, and can obtain the distance between the cross-border receiving city and the original shipping city by calling the API of the location service such as Gaode Map, Baidu Map or Tencent Map, usually providing longitude and latitude information, and can calculate the distance between the two points through the API.

[0022] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0023] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent optimization cross-border e-commerce logistics distribution path planning method, characterized in that: The path planning method includes the following steps: (1) Obtain the information of the cross-border user to be delivered, and calculate the distance and delivery time between each cross-border delivery city and the original shipping address of the cross-border goods based on the cross-border delivery city of the cross-border user to be delivered; (2) Determine the order of dispatching the goods to be delivered to the cross-border users based on the cross-border users’ deadline for delivery, the quantity of goods, and the cargo capacity of the cargo ship or aircraft; (3) Calculate the dispatch of the cargo ship or aircraft in advance and obtain the distribution path of the cargo ship or aircraft based on the cargo capacity of the cargo ship or aircraft; (4) After the cargo ship or aircraft transports the cross-border goods to the relevant overseas receiving cities, the cross-border cities are divided into delivery areas according to the specific receiving addresses of the cross-border users to be delivered, and the distance and delivery time between the cross-border goods to each cross-border user to be delivered and the cross-border receiving city are calculated. The amount of goods for each cross-border user to be delivered and the cargo capacity of the delivery vehicle are determined for goods delivery; (5) Finally, the dispatching status of the delivery vehicle is calculated in advance and the delivery route of the delivery vehicle is obtained.

2. According to the intelligent optimization cross-border e-commerce logistics distribution path planning method of claim 1, it is characterized by: The information of the cross-border user to be delivered is the location information of the cross-border user to be delivered.

3. According to the intelligent optimization cross-border e-commerce logistics distribution path planning method of claim 1, it is characterized by: The delivery of goods to be delivered to cross-border users includes the following steps: According to the situation of each cross-border receiving city area, the cross-border users to be delivered will be divided into several business areas; Assign several business areas to each delivery person, with at least one delivery person in each area, and divide the goods to be delivered to cross-border users into several business areas for distribution.

4. According to the intelligent optimization cross-border e-commerce logistics distribution path planning method of claim 1, it is characterized by: The dispatching of the cargo ship or aircraft includes the following methods: Based on the cargo volume of each cross-border receiving city, the quantity of cargo required by cargo ships or aircraft to transport the cargo is determined, and cargo ships or aircraft are dispatched to deliver the cargo to the cross-border receiving cities.

5. According to the intelligent optimization cross-border e-commerce logistics distribution path planning method of claim 1, it is characterized by: The dispatching of the delivery vehicle includes the following methods: Based on the amount of goods to be delivered to cross-border users, determine the number of delivery vehicles required and dispatch delivery vehicles to deliver the goods.

6. An intelligent optimized cross-border e-commerce logistics distribution path planning system, characterized in that: The path planning system comprises: An acquisition unit, used to acquire user information of a cross-border user to be delivered; A determination unit, configured to first determine the location of the cross-border delivery city and the amount of goods according to the user information acquired by the acquisition unit, and then determine the cut-off delivery time, delivery address and amount of goods corresponding to the cross-border user to be delivered; A calculation unit, configured to calculate, based on the delivery address obtained by the determination unit, the transportation distance and transportation time between the original place of shipment and the cross-border delivery city, and then calculate the transportation distance and transportation time for the cross-border user to be delivered; Business division units are used to divide cross-border delivery cities into several business areas; The path generation management unit is used to select a path algorithm to calculate the delivery route within the delivery area, and obtain the estimated time for delivery completion based on the delivery route.

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