SPEAKERS
Debanshu Sharma is a supply chain and transportation strategy expert with 15+ years of experience in freight network design, carrier performance optimization, transportation network redesign, and large-scale logistics analytics. He leads transportation strategy initiatives at Amazon Transportation Services, where his work spans carrier performance optimization, predictive risk modeling, last-mile network design, and machine learning-based logistics analytics across one of the world’s largest transportation networks. His project portfolio includes large-scale inbound network redesigns, carrier transformation programs delivering significant on-time delivery improvements, and hub bypass strategies that reduced handling costs and transit times across regional distribution networks. He developed the Predictive Reliability Index (PRI), a machine learning framework for pre-departure carrier risk scoring that reduced pickup defects and improved network reliability at scale. His published work spans Supply Chain Management Review, Inbound Logistics, SupplyChainBrain, and CSCMP Supply Chain Xchange. He holds an MBA from the University of Michigan Ross School of Business.
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