Demand forecasting and inventory optimization across multi-warehouse e-commerce with 10K+ SKUs.
10K+ SKUs with seasonal patterns, promotions, and supply disruptions across 8 warehouses.
Hierarchical Prophet — top-down/bottom-up reconciled
Promotional lift modeling from historical campaigns
Linear programming via PuLP for 8-warehouse allocation
Safety stock optimization per SKU
$1.2M savings annually. 40% less overstock. 98.5% service levels. Runs daily automatically.
Real-time revenue intelligence with predictive forecasting, cohort analysis, and anomaly detection for 200+ users.
ML-powered churn prediction identifying at-risk customers 30 days before cancellation with explainable insights.
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