From 24 Hours to 9 Minutes - Complex Data Processing with Snowflake at Genuine Parts

Managing and updating a massive product catalog is no trivial task. For Genuine Parts, that means a hundred million records of data need to be fresh and accurate, and updated multiple times a day to achieve inventory accuracy. With their previous on-premises systems, it took over 24 hours for the team to deliver data, making fresh insights impossible.

The data engineering team turned to Snowflake as a solution to enable stores, supply chains, and teams across the organization to always have an up-to-date look into inventory.

Hear from the Genuine Parts engineering team and Snowflake experts about:

  • Why the team chose Snowflake over Spark-based solutions

  • How the team simplifies their tech stack and reduces technical friction

  • How data architecture is transformed

  • Their business outcomes