Abstract: This article explores the application of artificial intelligence algorithms in commercial vehicle logistics path planning. The traditional path planning method in the commercial vehicle logistics industry has problems such as low efficiency and high cost, and artificial intelligence algorithms have brought new breakthroughs to it. The article deeply analyzes its application significance, covering aspects such as improving transportation efficiency, reducing costs, and enhancing customer service quality. At the same time, application strategies are proposed from the aspects of data-driven modeling, algorithm fusion and complementarity, dynamic adjustment of response, and risk assessment guarantee. Elaborate on the application plan and effectiveness of the algorithm through practical cases for reference.