Modern Economics & Management Forum

This paper constructs an optimal route optimization model for logistics transportation based on an improved ant colony algorithm. Results demonstrate that this algorithm exhibits significant advantages in optimizing routes, enhancing transportation speed, and reducing transit time and costs, particularly showcasing strong adaptability and computational efficiency in large-scale logistics operations. Furthermore, the study explores the application of intelligent technologies in logistics supply chain management, including the integration of IoT, AI, big data, and blockchain technologies to improve cargo tracking, demand planning, inventory management, and supply chain transparency. Despite challenges such as technological integration and security risks, the proposed optimization strategies facilitate the seamless implementation of intelligent technologies. The integrated application of the improved ant colony algorithm and intelligent technologies will drive the intelligent and efficient development of logistics supply chains, thereby enhancing overall supply chain efficiency.