Return goods source pushing method for special line driver

Abstract

The invention discloses a return goods source pushing method for a special line driver, and the method comprises the steps: carrying out the retrieval and pushing of a return order, scheduling an order for a special line truck driver through a platform after the special line truck driver arrives at a destination, enabling the special line truck driver to have an opportunity to load goods in a local place or a certain nearby region, and return to a special line starting point or a nearby city of the starting point; according to the method, the specificity of driver special line transportation is considered; according to the method, the transportation business operation economy is considered, the acceptable date and distance range of return orders are determined through the online platform big data technology, orders meeting the conditions are screened out in the range, the orders are ranked according to rule scores and then pushed to drivers for autonomous selection, the drivers are helped to reduce no-load problems, and the benefits of all parties are improved; the lean degree and level of operation of the transportation e-commerce platform are improved, benefits of personal vehicle owners are practically improved, the transportation e-commerce platform is not only limited to provide vehicle and goods information, and decision support based on data can also be provided.

Description

technical field [0001] The invention belongs to the technical field of transportation information analysis, and in particular relates to a method for pushing backhaul cargo sources for dedicated line drivers. Background technique [0002] In recent years, the deep integration of the transportation industry and e-commerce has promoted the rapid development of the transportation e-commerce (freight) platform, enabling tens of millions of freight drivers across the country to find goods online; [0003] The existing freight platform has the following deficiencies: [0004] 1. Most of them simply publish information on cargo transportation, without forming an ecological closed loop; [0005] 2. The lack of optimization of order arrangements based on big data has led to the problem that many truck owners engaged in special line transportation will be fully loaded on the outbound journey and empty on the return journey. , and for the operation of the entire industry, it is not l...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a method for pushing the return source of goods for dedicated line drivers, so as to solve the problem that most of the freight platforms proposed in the above-mentioned background technology only simply publish the information of cargo transportation, and do not form an ecological closed loop; there is a lack of order arrangement based on big data. Optimization has led to the problem that many truck owners engaged in special line transportation will have the problem of being fully loaded on the outbound journey and empty on the return journey, which leads to uneconomical one-way freight rates. Neither the owner nor the owner of the truck optimizes the profit or cost, and for the operation of the entire industry, It is also a problem of not being lean and intensive; aiming at the problem of the empty load rate of trucks in the current transportation e-commerce platform

Images