The timing and intensity of seasonal illness is highly volatile from season to season and place to place, making it difficult for pharmacy retailers to predict when and where consumers will need cold, cough and flu medications and products the most. This results in out-of-stock products, lost sales opportunities, and consumers still in need of relief.

In this case study, learn how a leading pharmacy retailer addressed this problem with Kinsa Insights’ Inventory Optimization solution. With Kinsa, the retailer was able to predict 14 days in advance when and where illness product demand would increase, increasing forecast accuracy from 75% to 95% and helping to avoid out of stocks.

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While the timing and intensity of seasonal illness is always unpredictable, illnesses like cold, cough, and flu have been more volatile than ever since the emergence of COVID-19. This has made it difficult for cold, cough and flu relief brands to predict where and when consumers will need their products the most, resulting in out-of-stock products and potentially permanently-lost sales.

A leading cold, cough & flu relief brand addressed this problem with Kinsa Insights’ Retail Sell-In solution, which identifies geographies where illness-based sales demand is likely to surge 4 weeks ahead of time, and identified $69M in under-forecasted sales opportunities.  Learn more in this case study.

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