Manual exports caused five-hour lags. AI cut fuel stockouts by 20% and audit prep from two weeks to one hour.
A global downstream energy retailer supplies fuel, lubricants, and aviation products to retail stations and B2B customers across Latin America, Africa, and Asia-Pacific.
Data fragmentation and slow dashboards forced staff to rely on manual workarounds, with 95% of usage involving raw data exports. Insights lagged by...
“Databricks has become the backbone of how we manage and use data. Since our teams can move faster, work smarter and deliver better experiences to the communities we serve, we’ve reduced fuel stockouts and scaled new capabilities across 15+ countries.”
Global energy company providing fuel distribution, retail, and aviation services.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Puma Energy's Supply chain operations is part of this use case:
Related implementations across industries and use cases
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Data scattered across 700 tables forced operators to perform 100 daily manual tasks. Now, AI agents autonomously execute these workflows.
Managers spent weeks merging handwritten forms. AI now reads thousands of multilingual notes to rank risks in minutes.
Fragmented tools slowed operations. A unified platform now connects experts and business users, cutting analysis time by 60%.
Manual Excel models bottlenecked the network. Now, AI optimizes inventory while bots provide 24/7 service.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Manual exports caused five-hour lags. AI cut fuel stockouts by 20% and audit prep from two weeks to one hour.
A global downstream energy retailer supplies fuel, lubricants, and aviation products to retail stations and B2B customers across Latin America, Africa, and Asia-Pacific.
Data fragmentation and slow dashboards forced staff to rely on manual workarounds, with 95% of usage involving raw data exports. Insights lagged by...
“Databricks has become the backbone of how we manage and use data. Since our teams can move faster, work smarter and deliver better experiences to the communities we serve, we’ve reduced fuel stockouts and scaled new capabilities across 15+ countries.”
Global energy company providing fuel distribution, retail, and aviation services.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Puma Energy's Supply chain operations is part of this use case:
Related implementations across industries and use cases
Crews wasted time verifying safety docs. A GenAI assistant now serves instant, authorized answers, scaling to 4,000 technicians.
Data scattered across 700 tables forced operators to perform 100 daily manual tasks. Now, AI agents autonomously execute these workflows.
Managers spent weeks merging handwritten forms. AI now reads thousands of multilingual notes to rank risks in minutes.
Fragmented tools slowed operations. A unified platform now connects experts and business users, cutting analysis time by 60%.
Manual Excel models bottlenecked the network. Now, AI optimizes inventory while bots provide 24/7 service.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Hours of system-hopping to find answers left nothing for analysis. Employees now ask in natural language—instant, structured results.
Training models for 300+ invoice formats bottlenecked operations. Now, generative AI extracts data instantly; staff review exceptions.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.