Case Study: Walgreens achieves real-time personalized pharmacy care with Databricks

Personalizing pharmacy care to improve patient outcomes

Walgreens, a leading retail pharmacy chain, wanted to improve patient outcomes by making sure medications were in stock and pharmacists could spend less time on administrative work and more time with patients. To do that, Walgreens needed a scalable, secure platform to bring together all of its data and provide supply chain insights and personalized information at the point of care. Walgreens worked with Databricks and the Databricks Data Intelligence Platform to support that transformation.

Databricks helped Walgreens build an intelligent data platform that consolidates structured, unstructured, and semi-structured data for near real-time analytics. The solution enabled Walgreens to forecast demand, redistribute medications across nearly 9,000 pharmacies, and give pharmacists actionable patient insights, including drug interaction alerts and prescription guidance. As a result, Walgreens improved inventory accuracy, reduced out-of-stock risk, and delivered more personalized care at scale with Databricks.

Walgreens

Luigi Guadagno

Vice President, Pharmacy and HealthCare Platform Technology