The Role of Artificial Intelligence in Streamlining Construction Supply Chains

Abstract

This study investigates the role of Artificial Intelligence (AI) in streamlining construction supply chains, examining current adoption levels, perceived impacts, implementation challenges, and critical success factors. Through a qualitative methodology incorporating semi-structured interviews with industry professionals and an extensive literature review, the research reveals that AI adoption in construction logistics is still in its early stages, with a significant gap between awareness and implementation. The potential benefits of AI in improving supply chain efficiency, including cost and time savings, enhanced quality control, and error reduction, are well recognized. However, the industry faces substantial challenges in realizing these benefits, including technical complexity, financial constraints, organizational resistance, and data management issues. The study identifies four key enablers essential for effective AI integration: strategic alignment, robust data infrastructure, workforce upskilling, and industry collaboration. Recommendations include developing adaptive AI solutions, establishing industry-wide data standards, implementing phased adoption strategies, fostering a culture of digital innovation, and exploring new collaborative business models. The findings highlight the need for a holistic approach to AI adoption in construction logistics, encompassing technological, organizational, and industry-wide considerations.