Research on Logistics Network Optimization Based on Artificial Intelligence

With the continuous development of global trade and the rapid growth of the logistics industry, logistics network optimization has become an important topic for improving efficiency, reducing costs, and enhancing competitiveness. This paper aims to study the logistics network optimization methods based on artificial intelligence (AI) to improve the efficiency and effectiveness of logistics operations. Firstly, the background and significance of logistics network optimization are discussed. Then, the applications of AI in the logistics field are introduced, and its potential in logistics network optimization is explored. Next, the key technologies and methods of AI-based logistics network optimization are elaborated, including path planning, cargo allocation, warehouse management, and other aspects. Finally, the effectiveness and feasibility of the proposed methods are validated through case analysis and simulation experiments, and the potential impact on the logistics industry is discussed. The experimental results demonstrate significant advantages of AI-based logistics network optimization methods in improving operational efficiency, reducing costs, minimizing errors and delays, and enhancing customer satisfaction. These results provide a strong basis for the logistics industry to further promote and apply AI-based logistics network optimization technologies.