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AI/ML
Retail chain lifts forecast accuracy across 2,000 stores
20% forecast accuracy lift30% fewer stockouts
Client overview
A national grocery retailer wanted SKU-store level forecasting to reduce waste and lost sales.
The challenge
Legacy statistical models ignored promotions, weather, and local events.
Our solution
SWASE DemandIQ delivered hierarchical ML forecasts with promotion and event features.
Results
Shrinkage dropped materially while on-shelf availability improved across the estate.
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