Eijaz Ahmed Khan

Papers

Total Citations

H-Index

About

Eijaz Ahmed Khan is a pioneering researcher at the forefront of digital transformation in supply chain management, with a primary focus on artificial intelligence, intelligent automation, and real-time information systems. His most influential work, "Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow" (2025), has already garnered 38 citations, demonstrating its immediate impact on the field. In this landmark paper, Khan systematically examines how AI, machine learning, and robotic process automation are fundamentally reshaping global supply chain ecosystems, offering unprecedented opportunities for resilience, innovation, and operational efficiency. His major contribution lies in providing a comprehensive framework for integrating these technologies to enhance real-time decision-making and streamline logistics. Khan's research is particularly notable for bridging the gap between theoretical AI applications and practical supply chain challenges, making his work essential reading for both academics and industry practitioners. By highlighting how intelligent automation can transform traditional supply chains into agile, data-driven networks, Khan has established himself as a leading voice in the next wave of supply chain innovation.