Intelligent logistics pickup analysis system and method based on big data

Abstract

The invention discloses an intelligent logistics pickup analysis system and method based on big data, and belongs to the technical field of intelligent logistics pickup. The logistics pick-up analysis system comprises an interface selection unit, a man-machine interaction module, a main processing module, a reservation docking module, a pick-up evidence obtaining module, an information storage module and a pick-up intelligent analysis module. According to the intelligent logistics pickup analysis system and method based on big data, the logistics updating efficiency is improved, a scientific route decision basis is provided for a delivery administrator through a logistics delivery optimization model of an improved algorithm, the logistics delivery efficiency is ensured, the problem that goods cannot be picked up and arrived due to an order error is prevented, and the problems in the actual order issuing process are solved; the customer requirements are guaranteed to be met, the practicability of the whole system is improved, the use efficiency of the system is guaranteed, the system can be optimized according to the use opinions of the user, the defects of the system are reduced, and the use safety and stability are improved.

Description

technical field [0001] The invention relates to the technical field of smart logistics pick-up, in particular to a big data-based smart logistics pick-up analysis system and method. Background technique [0002] The logistics industry is an industry with a large demand for data transmission. With the improvement of modern living standards and the continuous rise of online shopping, a large amount of data needs to be processed urgently. The analysis and processing of big data has become one of the main obstacles restricting the development of the logistics industry. Research on the application of big data technology in smart logistics can help the logistics industry better apply big data technology, continuously develop its logistics industry, and improve logistics efficiency. To a certain extent, the logistics dispute has gradually evolved into a big data technology dispute. Accelerate the penetration of cloud computing and big data technology into the logistics industry, t...

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Problems solved by technology

[0003] 1. During the process of goods leaving the warehouse, the system cannot be automatically updated, resulting in a mismatch between logistics and inventory, which may easily lead to order errors;

[0004] 2. Optimizing the path in the logistics distribution system is the most important part of logistics distribution, and optimizing the logistics distribution path can improve the efficiency of distribution, but the existing algorithms have their limitations, and it needs to be improved and optimized or combined with other algorithms to optimize the path. Research on optimization problems;

[0005] 3. Among the logistics enterprises that already have information systems, for a logistics distribution center in a city, including the first-level distribution center and the second-level distribution center, the ability to integrate resources in logistics links such as order management, warehouse management, and distribution management is not enough. perfect

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