The article presents a comprehensive analysis of the role of artificial intelligence in optimizing operational processes and managing port logistics. The study is conducted within a theoretical and analytical framework that integrates the concepts of digital transformation, intelligent transport systems, and sustainable supply chain management. The analysis is based on recent research focusing on the application of machine learning, neural networks, and digital twins to predict vessel dwell times, container availability, and enhance the efficiency of port operations. Particular attention is given to the socio-economic effects of AI adoption in the maritime sector, including the reduction of manual labor, transformation of professional roles, and the growing need for investment in human capital. The paper summarizes key areas of AI implementation in logistics, including predictive maintenance, intelligent navigation, crane automation, and digital safety systems. The novelty of the study lies in viewing artificial intelligence not only as a technological tool but also as a strategic mechanism for building a sustainable, adaptive, and socially responsible model of port management. The findings of the study may be useful for researchers in transport analytics, digital logistics professionals, port terminal managers, and developers of intelligent management systems.

artificial intelligence, port logistics, digital transformation, machine learning, automation, sustainable development, performance management

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