Case Study: a global retail enterprise achieves sub-50ms edge AI inference with Zymr

a retailer achieves sub-50ms AI inference across 5,000 stores with Zymr

The customer, a global retail enterprise operating over 5,000 stores, faced significant challenges with latency, security, and scalability in its edge AI infrastructure. This hindered its ability to provide real-time, personalized shopping experiences. To modernize its systems, the retailer partnered with vendor Zymr for a multi-cloud networking solution.

Zymr implemented a robust edge AI architecture utilizing K3s, Cilium, and Istio to ensure secure, high-performance networking. The solution delivered sub-50ms inference latency across all stores and achieved 99.99% uptime during peak traffic. This resulted in improved customer engagement through real-time personalization and reduced operational overhead for the retailer.

Retailer