Publication Details
Abstract
This article examines the role of artificial intelligence technologies in optimizing trading operations at the Commodity Exchange of the Republic of Uzbekistan. The study analyzes key challenges in exchange trading processes, including inefficiencies caused by human factors, delays in data processing, and limitations in risk detection. It highlights the potential of AI-based systems to improve transaction analysis, automate decision-making, and enhance overall trading efficiency. The findings demonstrate that artificial intelligence contributes to faster processing of operations, improved accuracy in price and risk assessment, and increased transparency of exchange activities. The study also provides practical recommendations for further development and integration of AI technologies into exchange trading systems.