How Penske Logistics Built an AI Summarization Model in Under 15 Days with Snowflake Cortex

Penske Logistics migrated to Snowflake and leveraged Cortex AI to build a gen AI summarization model in under 15 days, generating company-wide BI reports spanning 5 years in just 15 minutes.

Impact

< 15 days

AI Model Build Time

15 minutes (5 years of data)

BI Report Generation

Challenge

On-premises SQL server and mainframe systems could not scale. Manual reporting, crashes during extended use, and a year of unproductive gen AI exploration.

Solution

Migrated to Snowflake on Azure with Cortex AI for LLM-powered performance analysis and automated insight generation within governed platform.

Tools & Technologies

What Leaders Say

The game-changer in Snowflake Cortex AI is its simplicity and ease of implementation.

Vishwa Ram, VP, Data Science and Analytics, Penske Logistics
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Full Story

Penske Logistics faced reporting limitations with on-premises solutions that could not scale. SQL server and mainframe systems crashed during extended use, restricted leadership visibility, and required manual analysis of performance data. A year of generative AI exploration had not yielded production results.

Penske migrated to Snowflake on Azure and leveraged Snowflake Cortex AI to deploy large language models directly within Snowflake governed platform, enabling automated performance analysis and insight generation without external AI vendors.

The AI summarization model was built in under 15 days. Company-wide BI reports spanning 5 years now generate in 15 minutes versus previous manual, location-limited processes.

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