Browsing by Author "Alowairdhi, Saleh Mohammed"

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The Feasibility of Implementing AI in Bid/No-Bid decision-making
(University of Bath, 2024-09-02) Alowairdhi, Saleh Mohammed; Jesty, James; Liyanage, Navod
This report explores the feasibility of implementing an Artificial Intelligence (AI)-based Benchmarking Tool to enhance the bid/no-bid decision-making process at Cundall, a multi-disciplinary consultancy firm. The study addresses critical inefficiencies in the current decision-making system, including data inconsistencies, subjective judgments, and underutilization of historical data, which hinder alignment with Cundall's Blue Ocean Strategy. Through a combination of qualitative and quantitative research methods, the report identifies key decision factors, evaluates data readiness, and proposes an AI solution designed to provide data-driven insights, improve decision-making consistency, and align bid decisions with strategic objectives. The proposed AI Benchmarking Tool integrates historical data analysis, machine learning algorithms, and an interactive dashboard to deliver explainable, user-friendly recommendations. The report includes a proof-of-concept using PowerBI and Random Forest machine learning models, demonstrating the tool's potential to improve bid success rates and operational efficiency. Ethical considerations, stakeholder engagement, and implementation challenges, such as data quality and system integration, are thoroughly addressed. The findings highlight the transformative potential of AI in construction decision-making, positioning Cundall as an industry leader in innovation and strategic differentiation. Recommendations emphasize a phased implementation approach, robust governance, and continuous refinement to ensure alignment with Cundall's sustainability and innovation goals. This study contributes to the growing discourse on AI adoption in the construction industry, providing actionable insights for leveraging technology to create competitive advantages.
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