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.
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.
Legacy silos trapped sensor data. Now, predictive models optimize zinc filtration and AI agents review contracts.
Fragmented tools slowed operations. A unified platform now connects experts and business users, cutting analysis time by 60%.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
Managers spent weeks merging handwritten forms. AI now reads thousands of multilingual notes to rank risks in minutes.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Specialists manually compared PDF data. AI now flags deviations and routes them via Teams, cutting processing from days to <4 hours.
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.
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.
Legacy silos trapped sensor data. Now, predictive models optimize zinc filtration and AI agents review contracts.
Fragmented tools slowed operations. A unified platform now connects experts and business users, cutting analysis time by 60%.
Service gaps left rural areas behind. AI agents now guide 9M users through 44 tasks on WhatsApp, unifying fragmented support.
Managers spent weeks merging handwritten forms. AI now reads thousands of multilingual notes to rank risks in minutes.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Specialists manually compared PDF data. AI now flags deviations and routes them via Teams, cutting processing from days to <4 hours.