Improving industrial competitiveness management based on the use of artificial intelligence methods

In the context of Western sanctions and the structural transformation of foreign economic relations, enhancing the competitiveness of Russian industry is a priority for government regulation and corporate strategic management. The industrial complex serves as the foundation of technological sovereignty, fosters the sustainability of value chains, and ensures the reproduction of the country’s investment and innovation potential. Against the backdrop of limited access to equipment, components, and software solutions, the importance of management technologies that reduce costs, improve product quality, shorten production cycles, and enhance supply chain stability is increasing. The aim of this study is to identify key areas for improving competitiveness management processes at industrial enterprises using artificial intelligence methods. This article examines the application of AI in production management, quality, maintenance and repair, procurement and logistics, energy efficiency, and commercial decisions. It is shown that economic benefits are achieved by reducing the cost of planning errors and uncertainty, increasing forecast accuracy, and optimizing asset performance. Priority organizational and economic mechanisms for implementing AI are assessed as a tool for strengthening industrial competitiveness in the face of external constraints. 

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