Citation:

Prashant Gupta, Vinay Singh, 2025. "Optimizing Business Systems and Processes for AI/ML Integration in the Construction Industry", ESP Journal of Engineering & Technology Advancements  5(2): 225-230.

Abstract:

The construction industry, which has been sluggish to adopt new technologies in the past, is about to undergo a major change thanks to the use of Artificial Intelligence (AI) and Machine Learning (ML). This study looks at how AI and ML can change the way construction works by making project planning, resource allocation, safety, cost control, and quality assurance better. It stresses the need for strong foundational systems, especially Enterprise Resource Planning (ERP) and standardized business processes, to make sure that data is consistent, high-quality, and easy to get to, all of which are important for AI/ML success. The talk covers important ideas for system architecture, like interoperability, scalability, and data governance. It also covers important parts of a process, like standardization, documentation, and change management. The document also goes into detail on the main skills needed for project execution and financial management, stressing how important it is to integrate systems through platforms like Oracle Integration Cloud. Finally, real-world examples like AI-driven budgeting, forecasting, and supply chain optimization show how these technologies could change the way we do things. The study finds that AI/ML may greatly improve productivity, safety, and financial control, but their effectiveness depends on careful planning, making sure systems work together, and constantly improving processes.

References:

[1] Auralaid. (n.d.). AI-powered predictive maintenance in construction industry. Auralaid. Retrieved May 25, 2025, from https://www.auralaid.com/ai-powered-predictive-maintenance-in-construction-industry/

[2] FasterCapital. (n.d.). How AI enhances predictive maintenance in construction. FasterCapital. Retrieved May 25, 2025, from https://fastercapital.com/articles/How-AI-Enhances-Predictive-Maintenance-in-Construction.html

[3] Keymakr. (n.d.). Predictive power: Using AI for construction cost estimation and risk management. Keymakr. Retrieved May 25, 2025, from https://www.keymakr.com/blog/predictive-power-using-ai-for-construction-cost-estimation-and-risk-management/

[4] Investopedia. (2014). LG: A case study in successful enterprise resource planning system implementation. Investopedia. Retrieved May 25, 2025, from https://www.investopedia.com/articles/investing/111214/lg-case-study-successful-enterprise-resource-planning-system.asp

[5] Ghosh, I. (2025, April). How a $2 billion construction company is using AI to improve job site safety. Business Insider. Retrieved May 25, 2025, from https://www.businessinsider.com/ai-for-worker-site-safety-in-construction-2025-4

[6] Rahman, T., & Singh, R. (2024). Optimizing construction supply chains through AI: Streamlining material procurement and logistics for project success. ResearchGate. https://www.researchgate.net/publication/382680445_Optimizing_construction_supply_chains_through_AI_Streamlining_material_procurement_and_logistics_for_project_success

[7] Build News. (n.d.). AI predictive maintenance is revolutionizing construction equipment management. Build News. Retrieved May 25, 2025, from https://www.build-news.com/technology-and-digital-innovation/digital-transformation-and-analytics/ai-predictive-maintenance-is-revolutionizing-construction-equipment-management/

[8] Graham, F. (2023, December 20). How AI is helping predict safety risks on construction sites. Business Insider. https://www.businessinsider.com/how-ai-helping-predict-safety-risks-construction

[9] PwC. (n.d.). Why people made the difference in this successful ERP transformation. PwC UK. Retrieved May 25, 2025, from https://www.pwc.co.uk/services/alliances/insights/people-made-difference-successful-erp-transformation.html

[10] Skanska USA. (2025, April 30). Skanska launches “Safety Sidekick” AI tool to advance job site safety across the U.S. Retrieved May 25, 2025, from https://www.usa.skanska.com/who-we-are/media/press-releases/298531/Skanska-launches-Safety-Sidekick-AI-tool-to-advance-job-site-safety-across-the-U.S

Keywords:

Artificial Intelligence, Machine Learning, Construction Industry, ERP, Business Systems, Project Management, AI Integration, Digital Transformation.