Ipiranga's mission is to fuel life in motion across Brazil. With each area running its own data silo, consolidating information was slow and delayed analysis for executives. With its data unified on Databricks, Ipiranga deployed Genie with multi-agent AI, saving 1,440 hours a year in analysis and over 23,000 hours a year in sales, and cutting pricing analysis from 6 to 2 hours per consultant. AI is now part of daily operations, from pricing to supply.
FAQ: Ipiranga on Databricks
Ipiranga faces global geopolitical and economic pressure, including uncertainty over oil supply, and the need to respond quickly to illegal practices in Brazil. Internally, each area used to keep its own data silo, which made it hard to consolidate information and deliver analysis to executives.