THE ROLE OF ARTIFICIAL INTELLIGENCE IN BUILDING ADAPTIVE AND SUSTAINABLE SUPPLY CHAINS

Abstract

The article explores the role of artificial intelligence (AI) in the digital transformation of logistics systems. It highlights the practical benefits of AI integration, including optimization of supply chain management, predictive demand modeling, reduction of operational costs, increased delivery speed, and improved customer service quality. Particular attention is given to the contribution of AI to sustainability by analyzing CO₂ emissions, supporting the use of alternative fuels, optimizing packaging cycles, and providing tools for ESG-oriented strategies. The study also identifies new professional roles emerging within logistics, such as logistics data analysts, AI system architects, digital twin engineers, and specialists in AI ethics in supply chains. At the same time, challenges related to data unification, cybersecurity, standardization of APIs, and compliance with regulations on automated data processing are underlined. From an engineering perspective, successful AI implementation requires compatibility of hardware and software infrastructure, reliable communication channels, and protection against cyberattacks. The article emphasizes that the effectiveness of AI deployment depends not only on technology availability but also on organizational maturity, readiness for change, and data-driven decision-making culture. It is concluded that logistics of the future will evolve into an intelligent ecosystem where human and artificial intelligence complement each other, forming autonomous, adaptive, and sustainable supply chains, thus strengthening global competitiveness and resilience in conditions of uncertainty.

Keywords: artificial intelligence, supply chain management, digital transformation, sustainability, predictive analytics, automation.