Kinsa Insights

Top 3 Retail Pharmacy Chain Used Kinsa Insights to Improve Demand Forecast Accuracy by 20%+

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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