Pharma
Demand Forecasting Using AI
Pain Areas
Unplanned material movement, inventory imbalances due to overstocking or understocking, inconsistent production volumes, and workforce management issues during demand fluctuations
Purpose
Accurate demand prediction for optimized supply chain operations
Data Points
Market trends, historical sales data, seasonality effects, and global impacts on the industry
Technology
- Statistical models using time-series and random forest algorithms predict demand accurately
- Models are continuously updated to reflect changing global market conditions
Business Outcomes
Efficient supply chain management
Optimized inventory and improved production readiness
Better market positioning and improved logistics management