Case Study: Penske achieves operational efficiency and improved safety with Snowflake

Penske Drives Excellence and Efficiency with Gen AI Using Snowflake Cortex

Penske Logistics wanted to better use its performance data, but its on-premises SQL server and mainframe-based reporting systems were too limited, hard to scale, and didn’t give leadership clear visibility across the business. Business analysts also depended on other teams for reports, slowing decision-making. Penske turned to Snowflake, including Snowflake Cortex, to move toward a cloud-based, data lake-driven approach for generative AI and analytics.

With Snowflake, Penske gained a scalable, easy-to-use platform that helped it securely harness generative AI and improve operational efficiency, associate safety, and retention across two product lines. The company also built a new AI summarization model in less than 15 days. Snowflake’s built-in data science capabilities and platform-agnostic design helped Penske overcome the limits of its old systems and get broader organizational visibility.

Penske

Vishwa Ram

Vice President, Data Science and Analytics