This project will develop a robust, AI-enhanced ERP system tailored for the construction industry, capable of adapting to project-based market fluctuations, optimising material procurement, managing subcontractor workflows, and improving on-site logistics efficiency to minimise delays and cost overruns.
Project details
The construction industry operates in a highly dynamic, project-based environment that demands precise coordination of materials, equipment, labour, and subcontractors. Effective project scheduling, contract management, and cost tracking are critical for ensuring profitability and timely project completion. However, traditional Enterprise Resource Planning (ERP) systems, while useful for administrative automation, often struggle to address the complexities of construction workflows, fluctuating supply chains, and evolving regulatory requirements. To bridge this gap, integrating Artificial Intelligence (AI) into ERP solutions presents a transformative opportunity, enhancing real-time decision-making, resource optimisation, and sustainability compliance. AI-powered ERP systems can dynamically schedule tasks, anticipate material requirements, automate contract and subcontractor management, and provide accurate cost tracking and financial forecasting, enabling construction firms to respond swiftly to project variations and market fluctuations.
Sponsors
Australian Research Council (ARC) Industrial Transformation Research Hubs IH240100006 - ARC Research Hub for Infrastructure Net Zero, 2025 ~ 2030
Industry partners
AIBUILD PTY LTD
National Transport Research Organisation (NTRO)
Collaborators
Prof Wenhui Duan (Monash University, Australia)
