Research on Vehicle Logistics Optimization Distribution Based on Machine Learning

In order to solve the problems of low efficiency, unscientific management and large amount of manual work in the process of logistics distribution of enterprise products, a vehicle mounted logistics optimization distribution model is designed based on machine learning. Firstly, the logistics distribution optimization model, the optimal object and constraint condition are designed. Secondly, a logistics optimization distribution model based on ant colony algorithm is established, and the analysis procedure of the algorithm is designed. Finally, taking the distribution network of a company in a city as the research object, the logistics optimization distribution simulation analysis is carried out. The comparative analysis of the distribution path before and after optimization proves that the optimized distribution path can improve the distribution efficiency of the company. The results show that this method improves the efficiency of product logistics distribution, and improves the quantity and benefit of product logistics distribution.