Cnfans Spreadsheets: Demand Forecasting and Product Selection Optimization for Daigou Business

In the competitive world of daigou (overseas purchasing代理購) services, understanding customer preferences and anticipating market trends is critical. Cnfans implements advanced analytics through spreadsheets to revolutionize demand forecasting and product selection strategies.

Data Integration: The Foundation for Insights

Historical Purchase Data – Consolidate client transaction records to identify recurring patterns.
Browsing Behavior – Track viewed but unpurchased items to gauge latent interest.
Search Keywords – Analyze frequently searched terms for emerging demand signals.
Market Trend Metrics – Integrate industry reports and competitor benchmarks.

Predictive Analytics in Action

Embedded machine learning models (e.g., time-series forecasting and clustering algorithms) process the spreadsheet data to:

Predict seasonal demand fluctuations with 85%+ accuracy.
Generate "heat scores" for products based on projected popularity.
Flag declining trends for potential stock reduction.

Application Example: Skincare Category

When spreadsheet analytics detected a 200% YOY increase in searches for "barrier repair cream," Cnfans adjusted procurement to prioritize 5 Japanese/K-beauty brands. This resulted in avoiding tradekey/assets/overstock on previously "safe" products like cleansing oils.

Closed-Loop Optimization

The system continuously validates predictions via:

Metric Tracked	Optimization Action
Sell-through Rate	Adjust future order quantities
Cart Abandonment Rate	Reprice or bundle underperforming items

Business Impact

Early adopters achieved:

✓ 40% reduction in dead stock inventory
✓ 22% higher GMROI (Gross Margin Return on Inventory)
✓ 4.8/5 customer satisfaction on product relevance

By transforming spreadsheets into intelligent demand planning hubs, Cnfans empowers daigou operators to shift from reactive purchasing to data-driven product curation that aligns with dynamic consumer needs.