2024 Daniel H. Wagner Prize Awarded to JD.com for Work Enhancing E-Commerce Optimization Technology

BALTIMORE, MD, November 12, 2024 – INFORMS, the leading international association for professionals in operations research, analytics and AI, has honored the Department of Intelligent Supply Chain Y team from JD.com and collaborators from the University of California, Berkeley, with the 2024 Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research. The award recognizes their impactful work in enhancing fulfillment efficiency to improve customer satisfaction. 

The team’s innovative solutions have been successfully implemented throughout JD.com’s extensive network in China, resulting in marked improvements in order fulfillment efficiency and substantial reductions in both inventory and transfer costs. The award ceremony took place during the 2024 INFORMS Annual Meeting in Seattle, Washington. 

Their award-winning paper, “JD.com Improves Fulfillment Efficiency with Data-Driven Integrated Assortment Planning and Inventory Allocation,” highlights the development of a two-level inventory network comprising regional distribution centers (RDCs) and front distribution centers (FDCs). The team created a decision support system that integrates optimization techniques with machine learning algorithms to determine optimal product assortment at FDCs and manage daily inventory allocations from RDCs to FDCs.

Congratulations to Zuo-Jun Max Shen and Shuo Sun of UC Berkeley, and Yongzhi Qi, Hao Hu, Ningxuan Kang, Jianshen Zhang , Xin Wang and Xiaming Lin from JD.com’s Department of Intelligent Supply Chain Y.

Additional finalists for the 2024 Wagner Prize included:

• “Transportation Marketplace Rate Forecast Using Signature Transform,”

          Timothy L. Jacobs and Philip Kaminsky, Amazon.com Inc.; Xin Guo, Amazon.com Inc. & University of California, Berkeley; Haotian Gu and Xinyu Li, University of California, Berkeley

• “Redesigning Zoning Systems for Equitable and Efficient Last-Mile Delivery at Ninja Van,”

          Stanley Lim, Michigan State University; Witsanu Arntong and Ee Hsin Tan, Ninja Logistics Pte. Ltd.; John Gunnar Carlsson and Han Yu, University of Southern California; and Sheng Liu, University of                Toronto

• “Optimizing Music Station Playlists on Broadcast Radio,”

          J. Antonio Carbajal, Juan Ma, Nannan Chen and Mario Aboytes-Ojeda, iHeartRadio

INFORMS members and all those interested can learn more about the award, finalists teams and winner online here.

 

About INFORMS 

INFORMS is the leading international association for professionals in operations research, analytics, management science, and related fields. With more than 13,000 members, INFORMS advances and promotes the science and technology of decision-making to save lives, save money, and solve complex problems. INFORMS members support organizations and governments worldwide in transforming data into actionable insights that lead to more efficient, impactful and equitable outcomes. INFORMS members encompass a diverse community of practitioners, researchers, educators and students from across the globe. 

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