E-commerce commodity warehouse logistics intelligent scheduling method based on big data analysis

Abstract

The invention discloses an e-commerce commodity warehouse logistics intelligent scheduling method based on big data analysis, and the method comprises the steps: designing an e-commerce commodity warehouse logistics intelligent scheduling system, and obtaining the geographic position of each warehouse contained in an e-commerce platform and a warehouse storage commodity information set corresponding to each warehouse; sorting the warehouses from near to far according to the distances between the geographic positions of the warehouses and the receiving addresses of the users, and then sequentially screening the corresponding warehouse storage commodity information sets according to the number sequence of the warehouses to be matched with the commodity types and the ordering quantity corresponding to the commodities ordered by the users to obtain the warehouses matching the commodities ordered by the users; so that the warehouses can perform scheduling. The invention overcomes the defectthat the existing e-commerce platform cannot realize nearby warehouse scheduling in the process of selecting the warehouse of the logistics delivery end, has the characteristic of high intelligent degree, reduce logistics transportation cost, shorten commodity receiving time of the users, improve shopping experience of the users and further increase business income of a e-commerce platform.

Description

technical field [0001] The invention belongs to the technical field of e-commerce commodity logistics scheduling, and in particular relates to an intelligent scheduling method for e-commerce commodity warehousing and logistics based on big data analysis. Background technique [0002] With the development of my country's information technology industry, it has led to the rapid rise of e-commerce. As we all know, for e-commerce, the logistics link is responsible for the circulation of materials and information, which is a very important link, while warehousing is a very important link for logistics. It is the part of logistics that starts and ends. E-commerce warehousing is directly related to the back-end logistics delivery end of each e-commerce platform. Since the logistics delivery end is sent from the warehouse, the distance between the logistics delivery end and the user's delivery address The distance will directly affect the time for the user to receive the goods, which ...

AI Technical Summary

Problems solved by technology

[0003] However, the current e-commerce platform randomly selects a warehouse as the logistics delivery end from several warehouses included in the e-commerce platform in the process of selecting the warehouse of the logistics delivery end, without considering the distance between each warehouse and the user's delivery address The problem is that it is difficult to dispatch warehouses near the user’s receiving address. This method of dispatching warehouses invisibly increases logistics and transportation costs, and easily leads to prolonged delivery time for users, which reduces the user’s shopping experience and reduces the e-commerce business. Operating income of the platform

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