Artificial intelligence as a key to improving the efficiency of logistics operations

Abstract

The article examines the application of artificial intelligence (AI) in warehouse process management and its impact on the economic efficiency of logistics companies. The main areas of AI utilization, including demand forecasting, inventory management, robotics, and computer vision technologies, are analyzed. Special attention is paid to the experience of logistics companies such as DHL, Walmart, and X5 Group, which have successfully integrated AI into their operations. The article also explores examples of AI use in seaports, such as the Port of Los Angeles, where technologies have enhanced cargo flow management.

The article presents the results of a survey conducted among logistics industry professionals, which identified the level of AI adoption, key areas of application, and expected benefits. It discusses both the advantages, such as increased accuracy and reduced processing time, and the challenges, including implementation costs and the shortage of qualified specialists. The role of AI in reducing operating costs and accelerating data processing in large-scale logistics chains is emphasized. As a result, the application of AI in logistics, while requiring significant investment, is transforming traditional management practices and leading to more efficient and sustainable operations.