Predictive Supply Chain Intelligence
Demand forecasting AI that cut inventory costs by $8M annually and reduced stockouts by 60%.
Manual forecasting was leading to $15M in overstock and a 30% stockout rate across 2,000+ SKUs, with no systematic way to incorporate external signals.
Built a multi-variate demand forecasting platform combining time-series models with external signals (weather, events, social), fully integrated with their SAP ERP system.
$8M inventory cost reduction, 60% fewer stockouts, 35% improvement in fill rate, and ROI of 4x in the first year.
Ready to achieve similar results?
Let's discuss your project in a free discovery call.