Artificial intelligence in supply chain management: opportunities and threats for professional competence

Abstract

The article summarized the theoretical foundations of artificial intelligence and classified various technologies and algorithms related to it. Development prospects are also considered, starting from the automation of individual procedures and moving on to the development of complex autonomous systems for decision-making. Further, a detailed analysis of the transformation of key business processes in supply chains under the influence of artificial intelligence was carried out. This made it possible to discover how artificial intelligence technologies affect the organization and management of supply chains, which can lead to changes in management approaches and strategies. In the article, a matrix model of the interaction of specialists with artificial intelligence in supply chain management was developed and improved. It contributes to the understanding of how to effectively combine the role of humans and artificial intelligence systems to optimize processes in supply chains. Special attention is paid to the transition from supporting to autonomous role of artificial intelligence systems in supply chains. This change in dynamics may change the balance of power between humans and AI systems, and affect accountability and control mechanisms, as well as the ethical implications of delegating authority to AI systems. Accordingly, it is important to develop the digital skills of supply chain managers and increase their level of digital competence in order to implement artificial intelligence technologies effectively and ethically. The lack of such competencies can become an obstacle in the development and successful use of artificial intelligence in supply chain management.