Artificial Intelligence as a Factor in the Digitalization of Logistics Processes in Kazakhstan

Abstract

The article examines artificial intelligence as a key factor in the digitalization of logistics processes in the Republic of Kazakhstan. The aim of the study is to analyze the role of intelligent technologies in the transformation of transport and logistics systems and to systematize the main directions of their practical application. The methodological framework includes analytical review, comparative and system analysis, as well as elements of process modeling of logistics operations. The study demonstrates that the implementation of machine learning algorithms and digital platforms improves the accuracy of freight flow forecasting, optimizes routing, automates data processing, and reduces operational risks. Particular attention is given to the formation of an integrated digital logistics ecosystem based on data, information systems, and analytical tools. Key areas of AI application are identified, including forecasting, optimization, risk management, and decision support. Typical digitalization scenarios in the activities of leading logistics operators in Kazakhstan are considered. The results confirm that the development of digital logistics is a strategic factor in enhancing the competitiveness of the national transport system.