Logistics scheduling management method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a logistics scheduling management method and device, electronic equipment and a storage medium, and aims to improve the processing efficiency. The method comprises the steps: according to order information, predicting the to-be-transported number of to-be-transported objects, wherein the to-be-transported objects comprise logistics objects transported froma first logistics node to at least one second logistics node; according to the second logistics node and the to-be-transported number, carrying out the logistics wiring analysis on the first logisticsnode, and determining a logistics wiring result, wherein the logistics wiring result comprises vehicle information for transporting logistics objects from the first logistics node to the second logistics node and route information of vehicles; and sending the to-be-transported quantity and a logistics wiring result so as to publish a transportation task. The transport capacity can be reasonably distributed, the processing efficiency and the transport efficiency are improved, the efficiency is low, and the cost is effectively reduced.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a logistics scheduling management method, a logistics scheduling management device, an electronic device and a storage medium. Background technique [0002] With the development of the logistics express industry, the logistics express business provides users with efficient and convenient logistics transportation services. [0003] At present, the overall level of intelligence in the logistics and transportation industry is relatively low, and resource allocation for goods, transport capacity, and services is often dispatched manually. For example, in the process of sending a logistics object to a transportation service provider for transportation, the transportation service provider often manually determines the vehicle, transportation route, etc., and then contacts the transportation user to load and transport the logistics object, which is inefficient. [0004] Thi...

AI Technical Summary

Problems solved by technology

[0003] At present, the overall level of intelligence in the logistics and transportation industry is low, and the resource allocation of goods, capacity, and services is often scheduled manually

For example, in the process of sending the logistics object to the transportation service provider for transportation, the transportation service provider often manually determines the vehicle, transportation route, etc., and then contacts the transportation user to load and transport the logistics object, which is inefficient

[0004] This method of manually allocating goods, transport capacity, and service resources is inefficient, and will also lead to higher offline operation management costs and overall transportation costs

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