In 2026, the digital transformation of logistics will focus on mainstream scenarios with strong practicality, covering multiple fields such as intelligent scheduling of trunk lines, unmanned loading and unloading of ports and parks, full traceability of goods, and intelligent safety supervision. Compared to traditional manual operation models, digital systems can use big data and intelligent algorithms to match transportation capacity, plan transportation routes, and improve issues such as empty vehicles, wasted transportation capacity, and fluctuating delivery times. At the same time, digital supervision can dynamically monitor the driving status of vehicles, avoid safety hazards such as fatigue driving and overloading, improve the efficiency, standardization, and safety of logistics transportation, and reduce enterprise manpower and operating costs.