Chinese sourcing agents using Pandabuy for Nike products can leverage powerful spreadsheet analytics to improve inventory turnover. This case study demonstrates how resellers analyze two key metrics - inventory daysdead stock ratio
Critical Metrics for Resellers
1. Inventory Turnover Days Analysis
Our Pandabuy spreadsheet template
- Average days products remain in inventory
- Seasonal fluctuations in turnover
- Models with >90 day shelf life
2. Dead Stock Identification
Pandabuy sellers should flag:
- AJ series with <30% sell-through in 60 days
- Underperforming mid-tier Nike models
- Previous generation tech (e.g., older Air Max variants)
7 Data-Driven Clearance Tactics
Bundle Deals
Pair slow-moving AJ1s with popular socks or accessories at 15-20% discount
Coupon Sequencing
Issue targeted 10% → 15% → 20% coupons spaced 72 hours apart
Logistics Optimization
Use summer shipping lulls (June-July) to replenish winter inventory
Demand Farming
Remarket to customers who browsed but didn't purchase specific SKUs
The Bottom Line
Pandabuy entrepreneurs who systematically track spreadsheet metrics and adjust strategies accordingly see 37% faster inventory turnover (based on Q2 2023 reseller data). The most successful implement both instant markdown strategies for dead stock and
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