Cnfans revolutionizes the reselling business by utilizing spreadsheets to consolidate comprehensive customer and market data. These smart spreadsheets integrate:
The system employs sophisticated data analysis algorithms and machine learning models within these spreadsheets to transform raw data into actionable insights:
The predictive models can accurately forecast customer demand patterns two quarters in advance by analyzing time-series purchasing behavior and correlating it with market trends.
This enables resellers to not only identify current popular items but also spot emerging product categories before they become mainstream.
By feeding demand predictions into procurement decisions, Cnfans spreadsheets help:
The same system quantifiably identifies underperforming products, allowing for data-driven decisions to phase out items with:
The Cnfans spreadsheet system creates a closed-loop optimization process:
Prediction → Purchase Implementation → Live Sales Tracking → Performance Analysis → Prediction Refinement
This virtuous cycle actually improves prediction accuracy by 12-15% with each complete rotation, according to internal metrics from Cnfans.
| Metric | Improvement |
|---|---|
| Inventory turn | +30-45% |
| Profit margin | +8-12 percentage points |
| Purchase accuracy | +55% reduction in writeoffs |
| NPS customer satisfaction | +22 points |
Cnfans' spreadsheet-based demand prediction system transforms traditional reselling operations into data-optimized retail engines. By combining centralized data collection with predictive analytics in an accessible spreadsheet format, they enable resellers to stay ahead of demand curves while dramatically improving all key e-commerce performance indicators.