Dior fashion analytics dashboard

In the rapidly evolving luxury resale market, CNfans Spreadsheet

How the Trend Prediction System Works

  • Real-time Instagram Monitoring:
  • Fashion Week Correlation Engine:
  • Machine Learning Analysis:

Key Features for Professional Buyers

The spreadsheet solution available at CNfans.run

Feature Benefit
Automated Street Style Tracking Identifies which runway looks influencers are replicating within 72 hours of shows
Regional Demand Heatmaps Shows geographic variations in item popularity across Asian luxury markets
Inventory Risk Scoring AI-generated ratings (1-5) for overstock potential of each accessory category

Case Study: Resort 2023 Accuracy

During Dior's 2023 early spring collection release, CNfans Spreadsheet correctly predicted:

  1. The 87% surge in demand for the embroidered saddle bag 3 weeks before major celebrities debuted it
  2. Regional variations that made pastel pieces 40% more popular in Shanghai than Beijing
  3. The underperformance of tweed separates despite heavy runway exposure
"The automated alerts about sudden Instagram hashtag growth helped me secure 12 Dior Micro-Cannage bags before they sold out completely. The quantity recommendation feature increased my sell-through rate to 94%." - @LuxuryHunter_Tokyo

Integration with Existing Purchasing Workflows

The Google Sheets-compatible format allows seamless incorporation into professional buying operations. Features include:

  • Automatic translation of French item descriptions to Mandarin/Japanese/Korean
  • Customizable alerts for when prediction confidence scores exceed 85%
  • CSV export optimized for major Asian e-commerce platforms

Early adopters have reported 37% reduction28% improvement

Access the Dior Trend Prediction Spreadsheet Next season's forecasts unlock 14 days before collection drops. 2024 subscription includes Gucci/Prada module.