Qianying Fu

Supply Chain Analyst @JD.COM

Fontana, CA, US

Drive warehouse network capacity planning and performance analytics by building KPI systems, modeling expansion readiness, and designing storage/slotting strategies to unlock space and throughput. • Built a standardized KPI framework across 13 warehouses by integrating IWMS/WMS data with SQL, enabling consistent weekly reviews and earlier identification of utilization/capacity risks • Developed 2026 business-onboarding feasibility models (inbound/outbound flows, turnover days, depth mix, unit cube) to quantify readiness for strategic network expansion • Diagnosed storage underutilization in high-mix operations (up to 50K SKUs/site) using SKU-depth distributions, item-size segmentation, and utilization models to prioritize high-impact initiatives • Delivered storage redesign strategies (embedded shelf retrofits, pigeonhole conversions) adding 10K+ locations and improving storage utilization by ~50% • Improved volume efficiency by ~90% by optimizing slotting logic and aligning storage types to SKU velocity/depth profiles • Partnered cross-functionally with Operations, Engineering, and Last-mile to analyze routing, transit-time drivers, hub alignment, and SLA performance for next-day network planning

UC Irvine

Bachelor of Arts - BA, Business Administration and Management, General

University of Southern California

Master of Science - MS, Business Analytics

USC Marshall School of Business

Master of Business Analytics