

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:
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.