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AI & Analytics
Move from spreadsheet forecasting to AI-powered demand sensing. Combine signals from ERP, POS, weather, and market data for 94% accuracy.
Traditional statistical forecasting achieves 70-75% accuracy. Every point of inaccuracy means either excess inventory or lost sales.
72%
Typical forecast accuracy
$14M
Annual excess inventory cost
8%
Lost sales from stockouts
AI analyzes POS data, web traffic, weather, social media, and economic indicators in real-time.
Forecasts at SKU, store, region, and enterprise level — automatically reconciled.
AI learns the lift pattern of every promotion type and adjusts forecasts accordingly.
ML models predict demand for new SKUs using analog product history and market signals.
94%
Forecast accuracy
-60%
Excess inventory
-83%
Stockout rate
$14M
Annual savings