Possibilities of using artificial intelligence for project management in construction

Kruk Vasyl
aspirant of Department of Economics Cybernetics and Information Technology, Odesa National Economics University, Odesa, Ukraine, E-mail:vasilij.kruk@gmail.com, ORCID: https://orcid.org/0009-0003-8117-1732

Hostryk Оleksii
PhD in Economics, Associate Professor, Department of Economic Cybernetics and Information Technology, Odesa National Economics University, Odesa, Ukraine, E-mail:AlexeyGostrik@gmail.com, ORCID: https://orcid.org/0000-0001-6143-6797

Cite this article:

Kruk V., Hostryk О. (2025) Possibilities of using artificial intelligence for project management in construction. Ed.: V.V. Kovalenko (ed.-in-ch.) and others [Mozhlyvosti vykorystannja shtuchnogo intelektu dlja keruvannja projektamy u budivnyctvi; za red.: V.V. Kovalenko (gol. red.)], Scientific Bulletin of the Odesa National Economic University (ISSN 2313-4569), Odesa National Economics University, Odesa, No. 1 (326), pp.7-13.

Abstract

The implementation of artificial intelligence(AI) and machine learning(ML) in enterprise management enables the timely analysis of large datasets and, based on this analysis, forecasts future performance outcomes. Today, construction is one of the most labor-intensive and resource-consuming industries. Despite significant advances, the industry still faces challenges such as schedule delays, budget overruns, and low productivity. AI and ML offer tools to address these problems by optimizing processes, improving decision-making, and enhancing the accuracy of predictions. This study aims to how these technologies are transforming various aspects of the construction process, from design to operation, based on an analysis of industry trends and capabilities. The research is based on data from both project developers and users of intelligent systems. The main methods used include an integrated approach to design processes, such as analysis and synthesis, induction, comparison, and concretization. The analysis of the results has led to conclusions regarding the effectiveness of AI in design, enabling the optimization of resource utilization, such as materials, labor, and time, resulting in cost reduction and improved construction quality.

Keywords

Construction, business processes, artificial intelligence, machine learning.

JEL classification:L230; L740; C880;DOI: https://doi.org/10.32680/2409-9260-2025-1-326-7-13

UD classification:624.003.1:004.8

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