Trends in the Use of Machine Learning and Artificial Intelligence in Supply Chain Management

The article examines the impact of digitalization, machine learning technologies and artificial intelligence on the development of the knowledge field of supply chain management. The evolution of the field of knowledge of supply chain management is studied, the analysis of existing scientific publications and reviews devoted to the application of intelligent methods in the field under consideration is carried out. It is shown that the field of research has undergone a significant evolution: from narrowly focused tasks of decision support and cost management to complex strategies including demand forecasting, inventory management, maintenance, transportation and returns, which is reflected in the use of machine learning and artificial intelligence technologies. Current trends have been identified, including an emphasis on sustainability, environmental friendliness, digital maturity, and strategic process integration. It is proved that digital technologies are tools for the implementation of methodologies and methods of supply chain management, but do not currently have an impact on the formation of the conceptual foundations of the theory under study.