E-Commerce Big Data Logistics Supply Chain Control System Based on Artificial Intelligence and Blockchain

Nowadays, logistics supply chain management is facing increasingly complex challenges, and the efficient and secure processing and transmission of large amounts of data has become a key demand in the industry. The study employed machine learning, deep learning, and other methods to analyze and predict consumer behavior, inventory levels, and transportation methods, thereby achieving optimal control over inventory and logistics. Blockchain technology establishes decentralized databases to ensure high transparency and immutability of transaction records in the supply chain, thus enhancing mutual trust and collaboration efficiency among all parties. The duration of the DDoS (Distributed Denial of Service) attack in the study reached 10 minutes, with a defense success rate of 100%, and did not cause any leakage of e-commerce big data information. This project proposes advanced data analysis and anti-counterfeiting technology aimed at improving the response speed and security performance of e-commerce, thereby promoting the development of the e-commerce industry towards a more intelligent and automated direction.