MECHANISMS FOR THE USE OF INTELLECTUAL ALGORITHMS IN OPTIMIZING CONSTRUCTION COSTS AND DEVELOPING SERVICE PROVISION BASED ON ARTIFICIAL INTELLIGENCE

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The rapid development of artificial intelligence (AI) technologies has created new opportunities for improving efficiency in the construction industry. Construction projects often face challenges related to inaccurate cost estimation, inefficient resource allocation, delays, and quality control. Intelligent algorithms, including machine learning, deep learning, optimization algorithms, and predictive analytics, provide innovative mechanisms for optimizing construction costs while enhancing the quality and speed of service delivery. This study examines the role of AI-based intelligent algorithms in construction cost optimization, project planning, risk assessment, procurement management, and digital decision-making. The research also explores the integration of Building Information Modeling (BIM), Internet of Things (IoT), and AI technologies to improve operational efficiency throughout the construction lifecycle. The findings indicate that intelligent algorithms significantly reduce project costs, minimize financial risks, improve resource utilization, and support sustainable development in the construction sector. Furthermore, the study proposes practical recommendations for implementing AI-driven service models that increase transparency, productivity, and competitiveness in the construction industry.