Case Study: Dollar Shave Club achieves personalized recommendations and boosts engagement and revenue with Databricks

Dollar Shave Club - Customer Case Study

Dollar Shave Club, a men’s lifestyle e-commerce brand, wanted to deliver personalized product recommendations to customers before order shipment but struggled with large, fragmented data sources, complex infrastructure that forced data scientists into DevOps work, and disjointed tools that limited collaboration across engineering, science, and analyst teams.

By adopting Databricks—integrated with their AWS stack (Redshift, S3, Kafka, Airflow)—they automated cluster management, used the Databricks Runtime for faster processing, and leveraged full-featured job management, REST APIs, and interactive notebooks to streamline ETL, model training, and cross-team workflows. The recommendation project boosted customer engagement and revenue, validated the platform’s value, and led Dollar Shave Club to pursue more ambitious data initiatives with Databricks.

Dollar Shave Club

Brett Bevers

Senior Data Scientist