POLYTECHNIC BULLETIN
Series Intelligence, Innovation, Investment
ISSN 2520-2235

ECONOMICS AND MANAGEMENT OF THE NATIONAL ECONOMY

Safarova Okila Odinaevna,  Khairulloeva Madina Bahtiyorovna, Rahimov Uktam Jumakulovich

Annotation:

This article explores the application of BIM technologies, artificial intelligence (AI), and machine learning (ML) in cost estimation for construction projects. It examines the principles of 5D modeling, cost forecasting algorithms, and their integration into an investment planning system. It demonstrates that digital transformation of cost estimation improves forecasting accuracy, reduces budget variances, and creates the foundation for adaptive pricing.

Keywords: BIM, ML, 5D modeling, artificial intelligence, machine learning, cost estimation, digitalization of construction, cost forecasting.