In 2025, JD.com published a groundbreaking research paper (“JD.com Improves Fulfillment Efficiency with Data-driven Integrated Assortment Planning and Inventory Allocation”, arXiv). The findings reshape how modern e-commerce should think about assortment and inventory allocation.
🎯 What JD.com Did
JD built an integrated system combining:
- Machine-learning–based demand forecasting
- Region-specific assortment alignment
- Real-time inventory allocation optimization
- A cost model minimizing stockout, overstock, and redistribution simultaneously
📊 Numerical Results (Official Research Data)
The new model delivered:
- Fulfillment rate: +2.7% to +5.4%
- Availability: +3.1%
- Stockout: –2.8%
- Overstock: –4.2%
- Redistribution cost: –7% to –10%
- Operational efficiency improvement: up to +6.5%
A clear signal: modern product planning is no longer intuition-driven — it’s optimization-driven.
🔍 Why This Matters
Most retailers still plan based on:
- Historical averages
- Seasonality
- Manual SKU selection
- Single-warehouse thinking
JD.com shows that SKU performance, demand density, and regional logistics must be combined in one model.
💡 Lumintis Perspective: Key Takeaways for Brands
Assortment planning is now a data science discipline.
- Inventory allocation must be channel-specific.
- Regional warehousing improves efficiency dramatically.
- SKU profitability (“SKU ROI”) should guide decisions.
🚀 What Lumintis Offers
We help brands build:
- Data-driven assortment planning frameworks
- Inventory allocation models
- Marketplace–D2C–retail integrated planning
- SKU performance optimization
Lumintis turns product planning into a measurable, scalable growth engine.