Complete vehicle logistics order prediction method and device, logistics system and computer readable medium

Abstract

The invention relates to the field of logistics, in particular to a complete vehicle logistics order prediction method and device, a logistics system and a computer readable medium. The method comprises the steps of obtaining whole vehicle logistics order data of a historical month; extracting features to construct a learning sample set; according to the learning sample set, constructing a gradient lifting decision tree model for training and evaluation, and obtaining a logistics monthly order prediction model of the whole vehicle; and inputting a to-be-predicted line, predicting a complete vehicle logistics order of the line in the future month according to the complete vehicle logistics monthly order prediction model, and outputting the complete vehicle logistics order. According to thecomplete vehicle logistics monthly order prediction method, device and system and the storage medium, prediction of the complete vehicle logistics monthly order is achieved, prediction efficiency andprediction accuracy are greatly improved, accurate information is provided for overall planning of transport capacity plans and warehouse management of transport companies, and then production management cost is reduced.

Description

technical field [0001] The present invention relates to the field of logistics, and more specifically, to a method and device for forecasting an entire vehicle logistics order, a logistics system, and a computer-readable medium. Background technique [0002] The monthly forecast of vehicle logistics orders is to accurately predict future monthly vehicle logistics orders by mining historical information and constructing a forecasting method, so as to provide data reference for the overall arrangement of transportation company capacity and warehouse management. [0003] Because the order forecast of vehicle logistics can make dispatchers prepare in advance and plan ahead, so that the scheduling of transportation resources is more reasonable, so accurate order forecast of vehicle logistics plays a very important role in vehicle logistics. [0004] The existing monthly order forecast for vehicle logistics uses manual forecasting based on the historical order report, and the weig...

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Problems solved by technology

[0008] The purpose of the present invention is to provide a vehicle logistics order forecasting method, device, system, and storage medium to solve the problems of low intelligence, high manpower cost, low forecasting efficiency and poor forecasting accuracy in current monthly vehicle logistics order forecasting question

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