ClimaChain in action: Turning allergy demand into precision

A leading global allergy brand was losing sales due to uncertain seasonal prediction. Traditional demand forecast tools missed shifting pollen cycles, regional variations, and climate-driven triggers.

The result: stockouts during peaks, overstocks in the off-season, and millions in missed revenue across retail pharmacies.

By layering ClimaChain into its existing planning stack, the brand gained hyperlocal, pollen-driven forecasts with 30-day visibility at the SKU and store level – without replacing current systems.

Results delivered:

• +40% forecast accuracy improvement
  
• 50% fewer stockouts during allergy peaks
  
• 16× ROI from improved sell-through and replenishment
  
• 5% reduction in excess inventory and better working capital
  

This case study shows how climate-aware demand forecasting helps allergy brands and retail pharmacies capture hidden demand, reduce stock issues, and plan smarter campaigns.