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CNfans Shoes Clearance Inventory: Early Warning System for Unsold Products via Spreadsheet Tracking

2025-05-21

For resellers specializing in CNfansCNfans spreadsheet’s inventory turnover formula

1. The Core Algorithm: Inventory Turnover Rate Calculation

The system’s foundation lies in real-time computation of the Daily Sales Change Rate (DSCR)

DSCR = (Current 7-Day Avg. Sales ÷ Previous 7-Day Avg. Sales) × 100%

Models flagged automatically when DSCR ≤ 60% (indicating ≥40% drop in sales), signaling potential shelf warming.

2. Automated Promotion Module Trigger

Upon detecting high-risk shoes:

  • Discount Combinator120 days, 25% for 60-120 days)
  • CNfans Coupon Integrator
  • Multi-Platform Sync

Real-World Application

In Q2 2024, a test group applying this method reduced New Balance 2002R dead stock by 78% compared to control groups: automation slashed price adjustment latency from 48 hours to under 90 minutes

3. Optimization Features

Metric Before System After Implementation
Average Clearance Period 97 days 63 days (-35%)
COGS Recovery Rate 44% 58% (+31.8%)

Implementation Steps

  1. Embed CNfans API
  2. Set conditional formatting rules to highlight cells when DSCR ≤ 60% (red = urgent action)
  3. Integrate IFTTT/Zapier to deploy pre-designed promo templates to selling platforms

Pro Tip:

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