Confluent × GEP Worldwide

Confluent x GEP Worldwide, from quarterly batch to a billion events

The Bottleneck ROI-proofFit-proofWritten narrativeChallenge-Solution-ResultsEnterprise Software

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Full screenshot of Confluent x GEP Worldwide, from quarterly batch to a billion events

Why it works

The constraint was clear: quarterly batch processing was choking a supply chain platform that needed real-time data. Removing that one bottleneck released a step-change, from 500K to one billion events per month, and unlocked downstream AI capabilities that were already waiting. The 1,400% improvement in predictive lead time is a concrete number that makes the ROI case without requiring the reader to do mental math. There is a mild Leap element since GEP was also pursuing GenAI ambitions, but the bottleneck framing dominates because the problem was active and the gains came from unblocking, not from creating new demand.

Steal this

Anchor the before-and-after on a single operational metric with a vivid ratio: outage prediction went from two minutes to thirty minutes of lead time, a 1,400% improvement. That specificity makes the ROI tangible and memorable without requiring a financial model.

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Vendor Confluent
Customer GEP Worldwide
Industry Enterprise Software
Format Written narrative
Structure Challenge-Solution-Results
Medium Web page