Leading Global Biopharma Company

Demand planners relied solely on historical data to generate statistical forecasts, then manually adjusted them using subject matter expertise. Each market operated its own forecasting process, resulting in inconsistent methodologies and low forecast accuracy across the global vaccine portfolio.

The firm deployed C3 AI Demand Planning across its top three biggest markets, covering 450+ SKUs representing ~50% of vaccine revenue. Within 26 weeks of kick-off, C3 AI configured the application to produce forecasts at the SKU-market-distribution channel level by ingesting 10+ internal and external data sources, with best-fit AI models across 13+ segments and a 12-month forecasting horizon.

The AI-powered forecasting improved accuracy by 20% versus the baseline statistical forecasts and by 4% versus the adjusted forecasts produced by dozens of subject matter experts. This accuracy uplift translates directly into a $20 million annual inventory reduction potential across the three markets.

• Centralizing demand forecasting on a unified AI platform eliminates inconsistency across markets and outperforms both statistical baselines and expert-adjusted forecasts.
• Deploying to the highest-revenue SKUs first (top 3 markets, ~50% of vaccine revenue) maximizes early ROI and builds organizational confidence.
• Forecast accuracy gains compound into meaningful working capital improvements—each percentage point of accuracy improvement carries measurable inventory cost implications at enterprise scale.