Logistics intelligent management system based on big data analysis

Abstract

The invention discloses a logistics intelligent management system based on big data analysis. The logistics intelligent management system comprises an order generation module, a package classificationmodule, a route planning module, a logistics transportation module, a quality detection module, a quality analysis module, an analysis server, a total service center, a user tracking module, a display terminal and a storage database. According to the invention, the order generation module generates logistics orders for articles sent by users, packages and classifies the articles in the logisticsorders of the users, the route planning module plans transport routes of the logistics of the users, locates transport vehicle positions of the logistics of the users, detects quality parameter valuesof the articles sent by the users, and analyzes whether the quality of the item sent by each user is qualified or not, and communication and processing with each user with unqualified quality of theitem sent by each user are carried out through the total service center, so that some unnecessary logistics transportation costs are reduced, and the expectation feeling and experience feeling of a receiver are further met.

Description

Technical field[0001]The invention relates to the field of logistics analysis management, and relates to a logistics intelligent management system based on big data analysis.Background technique[0002]In recent years, with the improvement of people's living standards, the rapid development of e-commerce has been promoted. Under this background, the express logistics industry, as a service industry for people's work and life, has become an indispensable part of society.[0003]However, the existing express logistics management generally has some shortcomings. The existing express logistics management mainly uses personnel management, and its manual management efficiency is low, and a lot of human resources are wasted. During transportation, it is impossible to verify the quality of the sent items, and there are quality problems with the sent items, causing unnecessary economic and property losses. At the same time, most of the existing express logistics transportation is carried out by ...

AI Technical Summary

Problems solved by technology

[0003] However, there are some deficiencies in the existing express logistics management. The existing express logistics management is mainly through personnel management. The manual management efficiency is low and a lot of human resources are wasted. During the transportation, the quality of the sent items cannot be verified, and there are quality problems with the sent items, resulting in unnecessary economic and property losses. Long time leads to increased transportation time, which reduces the efficiency of logistics transportation. At the same time, the quality of the sent items cannot be detected through the visual inspection of personnel, so that feedback and processing with the user cannot be made in a timely manner, resulting in the problem of rejection by the recipient and increasing the cost of logistics transportation. , which reduces the recipient's sense of expectation and experience. In order to solve the above problems, a logistics intelligent management system based on big data analysis is now designed

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