AI Demand Forecasting

From Spreadsheet Estimates to ML Predictions

Traditional demand forecasting relies on last season's numbers adjusted by gut feeling. AI demand forecasting uses structured sell-out data, buyer behaviour patterns, and market signals to predict demand before the season starts — with continuously improving accuracy.

FIRE captures the data that makes forecasting possible: every preorder signal, every sell-out velocity, every buyer interaction — structured for ML models from day one.