Synchronizing Logistics in the AI and Industry 6.0 Era
Research Seminar Series
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Date
02 Oct 2026
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Organiser
Department of Industrial and Systems Engineering, PolyU
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Time
16:00 - 17:30
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Venue
BC302
Speaker
Prof. Ka Ho, Eric, Leung
Remarks
If you have enquiries regarding E-certificate after the seminar, please contact david.kuo@polyu.edu.hk.
Summary
This keynote presents a series of my research on how e-commerce logistics can move from isolated operational efficiency toward synchronized, AI-enabled fulfillment. Beginning with Warehouse Postponement Strategy, I explain how fragmented and irregular e-commerce orders can be grouped, predicted, and released through lightweight decision-support systems. It then extends the same postponement logic to last-mile delivery through Community Logistics, where delivery communities are dynamically formed by balancing time, space, capacity, and service promises. The talk further discusses how warehouse picking and outbound delivery can be synchronized through predictive and selective order-picking policies. Finally, the series is generalized into Total Fulfillment Management, a holistic framework for real-time synchronization across warehousing, transportation, inventory, and delivery operations. The keynote closes by outlining how AI, agentic AI, digital twins, and cyber-physical systems can make full TFM execution possible.
Keynote Speaker
Prof. Ka Ho, Eric, Leung
Associate Professor (Senior Lecturer)
Digital Business & Data Analytics , University of Liverpool Management School, UK
Dr. Eric K.H. Leung is an Associate Professor of Digital Business & Data Analytics at the University of Liverpool Management School. He previously served as a Post-doctoral Fellow at the University of Hong Kong. He received his Ph.D. from the ISE department of the Hong Kong Polytechnic University, where his research on intelligent decision support systems for e-commerce order fulfillment earned him the Certificate of Merit at the Hong Kong ICT Awards. His research focuses on the intersection of e-commerce logistics, AI and digital transformation, and the Physical Internet. He is particularly interested in integrating Operations Research and Management with Machine Learning and Generative AI (LLMs) to derive data-driven insights for business transformation. Eric has authored several books and published over 40 research papers in renowned journals, including the European Journal of Operational Research, Transportation Research Part E, Computers & Operations Research, International Journal of Production Economics, and International Journal of Production Research. He currently serves as a Department Editor for IEEE Transactions on Engineering Management, a Section Editor for the Encyclopedia of Operations Management, an Associate Editor for the International Journal of Engineering Business Management, and sits on the editorial board of Transportation Research Part E.
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