Analysis of Machine Learning Method in Logistic Systems

Machine learning (ML) can be considered as one of the sets of tools that can improve the efficiency of business processes. Processing such arrays using machine learning methods can find additional reserves to optimize transport and logistics processes. The purpose of this article is to analyze and create a logistics model for the effective organization of the inventory management system of a wholesale and retail enterprise operating in the goods market. To achieve the stated goal, the following main task of the study is solved: calculation of the parameters of the goods management system, taking into account the analysis of the effectiveness of using machine learning methods.