AI case study

Puma EnergySupply chain operations

Manual exports caused five-hour lags. AI cut fuel stockouts by 20% and audit prep from two weeks to one hour.

Published|3 months ago

Key results

Data Latency
5 mins
vs 5 hours
Audit Prep Time
1 hour
vs 2 weeks
Stockout Reduction
20%+

Result highlights

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The story

Context

A global downstream energy retailer supplies fuel, lubricants, and aviation products to retail stations and B2B customers across Latin America, Africa, and Asia-Pacific.

Challenge

Data fragmentation and slow dashboards forced staff to rely on manual workarounds, with 95% of usage involving raw data exports. Insights lagged by...

Solution
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Quotes

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The company

Puma Energy logo

Puma Energy

pumaenergy.com

Global energy company providing fuel distribution, retail, and aviation services.

IndustryEnergy & Utilities
LocationSingapore
Employees1K-5K
Founded1997

The vendor

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

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