Influence of artificial intelligence technologies on the development of logistics processes in the transport industry: expert assessment of risks and prospects of automation

The integration of modern digital technologies into logistics processes is one of the key areas for increasing the competitiveness of companies in the global market. Logistics service providers (PL providers) are actively implementing artificial intelligence technologies, which are used to optimize transport routes, manage logistics operations, improve security and increase the overall efficiency of the transport system. The use of artificial intelligence opens up broad prospects for logistics, allowing significant results to be achieved in the field of resource management and cost optimization. Modern fifth-level logistics operators (5PL) are successfully mastering AI-based technologies, which allows them to ensure sustainable revenue growth. Today, conditions are being formed for the emergence of sixth-level providers (6PL), a distinctive feature of which is the desire for complete automation of logistics processes and minimal participation of human labor. The purpose of this study is to analyze the impact of artificial intelligence on the development of the logistics industry and study the opportunities it provides for the further transformation of logistics companies in the context of digitalization. As part of the study, a questionnaire was developed, with the help of which a comprehensive analysis of the impact of AI technologies on various areas of logistics companies was carried out. The study pays special attention to comparing the capabilities of artificial intelligence with human resources not only in terms of professional expertise and analytical flexibility, but also taking into account such qualities as creative thinking, moral and ethical guidelines and the ability to make non-standard decisions. In addition, the study includes an analysis of the attitude of specialists to potential risks associated with the introduction of AI in the business processes of transport and logistics enterprises, which is an important aspect when assessing the consequences of digital transformation. The results of the study make a significant contribution to the development of scientific knowledge in the field of logistics, contributing to a deeper understanding of the prospects for using AI technologies in logistics chain management. The data obtained can serve as a basis for further scientific research, as well as for the development of new logistics models that meet the requirements of the modern digital economy. The practical significance of the study lies in the possibility of its application for risk analysis and assessment of the consequences of the introduction of artificial intelligence, which is especially important for companies seeking to increase the level of automation of logistics processes and reduce the share of human participation in management.

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