Case Study: Favendo achieves scalable retail IoT analytics with Zymr's Azure-native RTLS platform

A Zymr Case Study

Preview of the Favendo Case Study

Favendo scales Azure RTLS SaaS for 100K IoT devices with Zymr

Favendo, a leader in IoT and RTLS platforms, sought to develop an innovative Azure-native SaaS solution to monitor consumer foot traffic in retail locations using their BLE IoT sensors. The challenge required extensive expertise in BLE IoT, AI/ML, and Azure-native application development to build a platform capable of real-time analytics and proximity marketing.

Zymr architected and developed a scalable, multi-tenant Azure SaaS platform for Favendo. The solution securely manages over 100,000 IoT devices, models foot traffic with sophisticated analytics, and automates business workflows. As a result, Zymr delivered a robust RTLS platform that provides retailers with enhanced insights and enables proximity marketing applications.


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