← Back to Modernizing Fuel Access in Underserved Communities

Source proof for Modernizing Fuel Access in Underserved Communities

Source-bound proof

Verified source excerpts for every supported field

Each colour maps a published value to the exact source passage used to support it. Only bounded excerpts are public; administrators can inspect the complete captured source.

12 fields supported

Title

Modernizing Fuel Access in Underserved Communities

quote · high
…o Login Contact Us Try Databricks Customer Stories / Puma Energy CUSTOMER STORY Modernizing fuel access in underserved communities 98-99% Decrease in data latency, going from 4–5 hours to under 5 minutes 20%+ R…

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%.

derived · high
…tin America, Africa and Asia-Pacific. With a purpose to “energize communities,” the business sought to predict fuel stockouts, generate safety audit reports and personalize loyalty offers, using the power of proprietary data and AI. Puma Energy invested in a unified…
…/ Puma Energy CUSTOMER STORY Modernizing fuel access in underserved communities 98-99% Decrease in data latency, going from 4–5 hours to under 5 minutes 20%+ Reduction in fuel stockouts by using predictive alerts 15% In data cost sa…

Company

Puma Energy

quote · high
…using predictive alerts 15% In data cost savings after migrating to Databricks Puma Energy is a downstream energy company that supplies fuel, lubricants and aviation products across Latin America, Africa and Asia-Pacific. With a purpose to “energize communities,” the business sought to predict fuel s…

Industry

Energy

classification · high
…strating decisions and outcomes across the enterprise.” Share this post Details Industry : Energy Use Case : Artificial Intelligence , Data Science , Data Warehousing , Governan…

Problem

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.

derived · high
…a silos. Business users often downloaded data from dashboards to work offline — 95% of dashboard use involved raw data exports — highlighting a failure in self-service analytics. As a result, insights were…
…w data exports — highlighting a failure in self-service analytics. As a result, insights were delayed, taking 4–5 hours to reach decision-makers. Even though the BI dashboards are refreshed every 30 minutes, the underlying d…

Solution

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.

derived · high
…pplications, including fuel stockout prediction and mobile app personalization. Unity Catalog then governed all structured and unstructured data in Delta Lake with fine-grained access controls, allowing teams to manage permissions across regions, business units and roles.…
…quickly, while non-technical users received expedient and structured insights. Lakeflow Jobs, MLflow, and MLOps pipelines enabled Puma Energy to automate model development and deployment, allowing them to run multiple GenAI workflows in parallel and rapidly move fro…

Business value

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%.

quote · high
…+ AI Platform, Puma Energy turned hours of waiting into near-instant insight — cutting data latency by 98–99%, from 4–5 hours to under 5 minutes. This speed allowed local teams to respond to issues faster, preventing operati…
…local teams to respond to issues faster, preventing operational disruptions and reducing fuel stockouts by more than 20%+ — a critical improvement for the communities they serve. Operational processes…
…liance reviews without adding headcount. And by retiring legacy infrastructure, Puma Energy reduced data costs by 15%, turning a former technical bottleneck into a source of savings and flexibility…

AI capabilities

Generative AI, Agentic AI, Predictive Analytics, Computer Vision

classification · high
…nities 98-99% Decrease in data latency, going from 4–5 hours to under 5 minutes 20%+ Reduction in fuel stockouts by using predictive alerts 15% In data cost savings after migrating to Databricks Puma Energy is a downstr…
…ty to leveraging multimodal GenAI for workplace safety through Guardian Vision, a tool that analyzes CCTV footage for policy violations. Tanay concluded, “We’re using the full Databricks Agent Bricks suite, from MLf…
…nergy is now working to further close the gap between insight and action. While AI agents can already identify patterns and recommend actions, such as offering a discount to a specific customer, executing those decisions…

Technology

Databricks, Delta Lake, Unity Catalog, Databricks SQL, Agent Bricks, Lakeflow, MLflow

classification · high
…quickly, while non-technical users received expedient and structured insights. Lakeflow Jobs, MLflow, and MLOps pipelines enabled Puma Energy to automate model development and deployment, allowing them to run multiple GenAI workflows in parallel and rapidly move fro…

Business functions

Procurement, Marketing

classification · medium
…ica, which is similar to how fast-food chains use footfall analytics. They also streamlined station construction and supply chains by tracking supplier performance and payments through a centralized system. Once stations were operational, the focus shifted…

Deployment model

Cloud

classification · high
…, Governance and Security , Data + AI Platform , Data Sharing and Collaboration Cloud : Azure Product : Databricks SQL , Delta Lake , Lakeflow Jobs , Agent Bricks , Unity Ca…

Deployment options

cloud

classification · high
…, Governance and Security , Data + AI Platform , Data Sharing and Collaboration Cloud : Azure Product : Databricks SQL , Delta Lake , Lakeflow Jobs , Agent Bricks , Unity Ca…
Capture details
Captured
05 Sept 2026, 06:07 UTC
Extractor
fetch-strip@1
Snapshot hash
807b116c6262945031409a1f9d495ac06796f601372d3730e7e7fdfa10555a11