Shila Khademi Sharifabad

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About

Shila Khademi Sharifabad is a leading researcher at the intersection of logistics, supply chain management, and intelligent technology. Her work primarily focuses on transforming last-mile delivery (LMD) systems—the critical final step in the supply chain—by examining how artificial intelligence and modern technologies can address evolving customer expectations and competitive pressures. Her most-cited paper, "Toward a Modern Last-Mile Delivery: Consequences and Obstacles of Intelligent Technology" (2022, 63 citations), provides a comprehensive analysis of the barriers and opportunities in integrating AI into LMD. This work has become a foundational reference for scholars and practitioners seeking to understand the practical challenges of automation in logistics. Sharifabad’s research is notable for bridging theoretical frameworks with real-world implementation hurdles, offering actionable insights for logistics providers navigating digital transformation. Her contributions are particularly timely as industries worldwide grapple with sustainability, efficiency, and customer-centric delivery models. Through her rigorous analysis, she has positioned herself as a key voice in modernizing supply chain operations, making her work essential reading for students and researchers interested in the future of intelligent logistics.