The author is a senior Government professional with over 20 years of experience in public service, having held diverse appointments involving the management of manpower, material resources, logistics, and complex operational responsibilities. Throughout his career, he has been entrusted with planning, coordinating, and executing several significant assignments and projects of the Central Government, requiring effective resource utilisation, interdepartmental coordination, operational efficiency, and informed decision-making.

His professional experience has provided valuable insights into the complexities of managing large-scale supply chains, optimising resources, mitigating operational challenges, and ensuring continuity of essential services. During his tenure, he has witnessed how technological advancements and the adoption of innovative management practices can significantly enhance organisational efficiency, improve transparency, minimise wastage, and strengthen institutional capabilities.

Having worked across diverse functional domains, he recognises that the rapidly evolving technological landscape presents both unprecedented opportunities and emerging challenges for modern management systems. In particular, the integration of Artificial Intelligence (AI), data analytics, and intelligent decision-support systems is poised to transform traditional supply chain operations by improving forecasting, strengthening risk identification, enabling predictive decision-making, and enhancing resilience against disruptions.

Drawing upon his extensive practical experience in government administration and resource management, the author brings an operational and management-oriented perspective to the subject of “The Role of AI in Supply Chain Resilience and Risk Management: Opportunities, Challenges and Future Directions.” He believes that the effective adoption of emerging technologies will be instrumental in building agile, resilient, transparent, and sustainable supply chains capable of addressing the uncertainties of the future.