Abstract
<jats:p>The monograph is devoted to the research and development of intelligent decision support systems (ISPS). The paper analyzes the theoretical foundations and architecture of DSS, and also examines the use of machine learning, neural networks, and language models to improve decision-making efficiency. Special attention is paid to the practical implementation of such a system for the situation center of an energy company, including the formalization of the task and the specifics of the development. In conclusion, the prospects for the development of ISPR in the context of engineering economics are presented. The publication will be useful for researchers, IT specialists and analysts working on the creation and implementation of intelligent analytical systems in various sectors of the economy.</jats:p>