The primary objective of this project is to tackle the challenge of route optimization within logistics transportation, thereby addressing a significant gap in domestic offerings in this domain. Despite the fact that major logistics players like SF Express, JD.com, and Cainiao Network excel in providing trunk transportation scheduling, they still fall short when it comes to intelligent scheduling solutions tailored for complex and large-scale terminal transportation. This deficiency often leads to inefficiencies, as these operations still heavily rely on manual experience and judgment.
