60%
reduction in fraud losses
40%
decrease in stockouts
35%
improvement in forecast accuracy
01 The challange
A retailer manages 50,000+ SKUs across 200 locations. Inaccurate demand forecasts led to $8M in excess inventory and frequent stockouts on popular items.
02 Our solution
We built an AI-powered demand forecasting system that:
Predicts demand at the SKU/location level
Incorporates weather, events, promotions, and competitive data
Automatically adjusts for seasonality and trends
Generates optimal reorder recommendations
03 THE RESULTS
25% reduction in inventory carrying costs
40% decrease in stockouts
35% improvement in forecast accuracy
$2M reduction in markdown losses
"