Shuchita Gupta

Papers

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About

Shuchita Gupta is a leading researcher at the intersection of artificial intelligence, supply chain management, and systems reliability. Her work focuses on how big data and analytics can transform the reliability and maintainability (R&M) of complex systems, particularly within the automotive industry. Gupta’s most-cited paper, “The Evolution of Artificial Intelligence in the Automotive Industry” (2021, 10 citations), explores how AI-driven supply chain models can become either a company’s greatest competitive advantage or its most vulnerable weakness. She demonstrates that for organizations applying R&M principles, leveraging big data is instrumental in predicting failures, optimizing maintenance schedules, and ensuring operational resilience. Her research provides actionable frameworks for integrating AI into traditional supply chain structures, helping industries move from reactive to predictive maintenance strategies. Gupta’s contributions are especially valuable for students and practitioners seeking to understand how data-driven decision-making can enhance system longevity and efficiency. Through her work, she highlights the critical role of analytics in turning supply chain data into a strategic asset, making her a key voice in the evolving field of intelligent industrial systems.