Zhiqiang Qu

University Town of Shenzhen, Tsinghua University

Papers

Total Citations

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About

Zhiqiang Qu is a researcher at the forefront of integrating machine learning with warehouse logistics, specializing in e-commerce order fulfillment and intelligent order batching systems. His work addresses a critical gap in supply chain management—the underutilization of predictive analytics to anticipate future incoming orders in both manual and robotic warehousing environments. Qu’s major contribution lies in developing anticipative algorithms that leverage machine learning to reserve and batch orders proactively, rather than reactively, significantly enhancing throughput and reducing fulfillment latency. His most-cited paper, “Enhancing E-Commerce Warehouse Order Fulfillment Through Predictive Order Reservation Using Machine Learning” (2024), has already garnered 6 citations, reflecting growing industry and academic interest in his forward-looking approach. Additionally, his earlier work, “An Anticipative Order Reservation and Online Order Batching Algorithm Based on Machine Learning” (2022), laid the foundational framework for this research direction. By bridging predictive modeling with real-time operational decision-making, Qu’s innovations promise to transform warehouse efficiency, offering scalable solutions for the rapidly expanding e-commerce sector. His work is essential reading for researchers and practitioners aiming to optimize last-mile logistics through data-driven intelligence.