Client
Retail Chain
Industry
Retail
Key Result
35% less overstock
The retail chain was losing millions annually to overstock and stockouts. Their existing ERP forecasting was based on simple averages and couldn't account for seasonality, local events, or trends.
We developed a custom machine learning forecasting system that ingests historical sales data, weather patterns, local events, and market trends to predict demand at the SKU-location level.
35% reduction in overstock
25% fewer stockouts
8% increase in revenue from better availability
System pays for itself every quarter
A mid-size logistics company was drowning in manual data entry. Our Audit revealed the exact bottlenecks — and the AI solution practically designed itself.
TurnkeyA manufacturer adopted our pre-built visual inspection system and reduced defect rates by 45% in the first month.
