Zymr
236 Case Studies
A Zymr Case Study
The client, a fast-growing e-commerce enterprise, faced significant challenges with its legacy data infrastructure, which struggled to process massive volumes of streaming data in real time. This resulted in delays in customer insights and personalization, limiting their ability to deliver contextual recommendations and leading to missed revenue opportunities during peak traffic events. To overcome these scale and speed requirements, the company partnered with Zymr for a real-time data platform solution.
Zymr designed and deployed a scalable streaming lakehouse architecture, implementing a high-throughput data pipeline using Kafka and Flink to process over 1 billion events daily with sub-second latency. This solution provided a unified customer view and enabled real-time personalized recommendations. The implementation by Zymr led to a 47% increase in conversion rates, $12M in annual revenue from personalization, and 99.97% platform uptime during peak events.
Fast-growing E-commerce Enterprise