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Optimizing Nike Reselling Strategy via Pandabuy Spreadsheet Analytics

2025-06-26
Here's an SEO-optimized article with HTML formatting about analyzing Pandabuy Nike purchases through spreadsheets:

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

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

Pro Tip:

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