AI-Driven Transformation of Automotive Logistics——Applications,Implementations and Cutting-edge Practices
Focusing on the transformation of AI in the field of automotive logistics,this paper expounds its characteristics,importance and impact of AI.The application of AI in automotive logistics is reflected in vehicle scheduling and transportation planning,parts inventory management,logistics risk control,intelligent loading,unloading and handling,and other aspects.The steps involved clearly defining business objectives,data collection and preprocessing,algorithm selection,and model construction.Practical application cases show that AI can reduce costs and increase efficiency in logistics.In the future,AI is expected to achieve the development of intelligent logistics equipment and big data predictive analysis in this field,but it also faces challenges such as supply chain coordination,and corresponding strategies are needed to respond to it to achieve more efficient,intelligent and sustainable logistics solutions.
AI ApplicationAutomotive LogisticsBig Data Analysis
NETL
NSTL
万方数据
