SHARED LOGISTICS MANAGEMENT SYSTEM AND METHOD USING BIG-DATA BASED ARTIFICIAL INTELLIGENCE

摘要

The big data-based artificial intelligence shared logistics management system according to the present invention includes: an integrated management server 100 that is connected to a wired/wireless communication network and manages and operates a shared logistics management system for transportation and logistics efficiency; AI big data server that is connected to the integrated management server 100 through a wired/wireless communication network and collects big data related to product transportation and logistics, such as food materials, and processes, manages and stores the data by learning such as machine learning by artificial intelligence (200); A database server 300 that is connected to the database processing unit 130 of the integrated management server 100 through a wired/wireless communication network and manages databases such as products such as planters, customers, freight forwarders, routes, transportation costs, and sales details. ; a user terminal 400 through which a user/customer who purchases products such as food materials connects and communicates with the user terminal processing unit 140 of the integrated management server 110 through a wired/wireless communication network; and a supplier terminal 500 through which a supplier who supplies products such as food materials communicates with the integrated management server 110 through a wired/wireless communication network.