What AI tools did Penske Logistics use?

Penske Logistics used Snowflake Cortex AI in this implementation within the Logistics & Transportation sector.

What business function does this AI use case address?

This use case focuses on Business Intelligence, demonstrating how AI can drive impact in that area.

Logistics & TransportationBusiness Intelligence

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.

Outcomes

< 15 daysAI Model Build Time

15 minutes (5 years of data)BI Report Generation

Tools & Technologies

Snowflake Cortex AI

Built-in AI and ML capabilities within the Snowflake Data Cloud

AI Categories

ML Platform

Data Platform

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.

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.

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