{"slug":"modernizing-fuel-access-in-underserved-communities","url":"https://findausecase.com/use-cases/modernizing-fuel-access-in-underserved-communities","title":"Modernizing Fuel Access in Underserved Communities","description":"Puma Energy invested in the Databricks Data + AI Platform with Agent Bricks to predict fuel stockouts, generate safety audit reports, and personalize loyalty offers across Latin America, Africa and Asia-Pacific. The company decreased data latency by 98-99% (from 4-5 hours to under 5 minutes), reduced fuel stockouts by more than 20%, and cut data costs by 15%.","company":"Puma Energy","industry":"Energy","aiCapabilities":["Generative AI","Agentic AI","Predictive Analytics","Computer Vision"],"businessFunctions":["Procurement","Marketing"],"technology":["Databricks","Delta Lake","Unity Catalog","Databricks SQL","Agent Bricks","Lakeflow","MLflow"],"deployment":"Public Cloud","problemStatement":"Puma Energy sought to predict fuel stockouts, generate safety audit reports and personalize loyalty offers, but fragmented data, slow dashboards and manual workarounds meant decisions lagged by hours. 95% of dashboard use involved raw data exports, and insights took 4–5 hours to reach decision-makers.","solutionApproach":"Puma Energy chose the Databricks Data + AI Platform with Agent Bricks, beginning with Delta Lake as the foundation for unified data storage and real-time analytics. Unity Catalog governed all structured and unstructured data with fine-grained access controls, and Databricks SQL let teams query live data and monitor performance in near real time. Databricks Agent Bricks powers GenAI use cases including retrieval-augmented generation to extract insights from unstructured feedback, while Lakeflow Jobs, MLflow and MLOps pipelines automate model development and deployment across a mix of models including GPT, Llama and Claude, including a multimodal GenAI tool (Guardian Vision) that analyzes CCTV footage for policy violations.","businessValue":"Puma Energy cut data latency by 98–99%, from 4–5 hours to under 5 minutes, reduced fuel stockouts by more than 20%, cut safety and audit preparation time from two weeks to one hour, and reduced data costs by 15%.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/puma-energy","dates":{"publishedAt":"2026-09-06T09:02:48.918Z","publishedAtSource":"pipeline","updatedAt":"2026-09-06T09:02:48.918Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/modernizing-fuel-access-in-underserved-communities. Bulk republication requires permission."}