Predictive Analytics & Inventory ML Pipeline
Custom machine learning forecasting engine reducing inventory overstock costs by $1.4M annually.
The Challenge
The client suffered from chronic inventory misallocations, leading to costly overstocks in regional warehouses while stockouts plagued high-demand urban fulfillment centers.
Our AI Solution
Developed a custom time-series predictive ML model (using XGBoost and Prophet) integrated directly into their ERP system. The engine predicts demand surges 4 weeks in advance based on historical sales, weather anomalies, and economic signals.
Technologies Leveraged
Key Results & ROI
Reduced inventory overstock holding costs by $1.4M annually
Achieved 94.2% forecasting accuracy across 15,000+ SKUs
Automated re-order ticket generation inside the ERP
Real-time executive dashboarding for supply chain planners
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