Inventory Optimization Engine
Machine learning-based inventory optimization system for pharmaceutical distribution, reducing stockouts by 42% while minimizing holding costs.
Tech Stack
About This Project
An advanced inventory optimization engine leveraging machine learning for pharmaceutical distribution networks.
Core capabilities:
- **Demand Forecasting**: Multi-variate time series forecasting using ensemble ML models for accurate demand prediction.
- **Safety Stock Optimization**: Dynamic safety stock calculation based on service level targets and demand variability.
- **Stockout Prevention**: Achieved 42% reduction in stockouts through predictive replenishment and early warning alerts.
- **Cost Optimization**: Balanced inventory holding costs with service levels to minimize total cost of ownership.
- **Network Optimization**: Multi-echelon inventory optimization across distribution centers and regional warehouses.
The system processes historical data from multiple sources and provides actionable recommendations for inventory managers.
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