Case Study: Favendo achieves real-time retail proximity marketing with Zymr's Azure IoT analytics platform

Favendo scales retail analytics to 1,000+ stores with Zymr

Favendo, a provider of real-time location systems (RTLS), wanted to build a cloud-native analytics application on Microsoft Azure. Their goal was to develop a retail-tech platform for proximity marketing by analyzing consumer foot traffic in stores and malls using their BLE iBeacon IoT hardware.

Zymr developed an Azure-based, cloud-native analytics platform for Favendo. The solution included microservices, REST APIs, and an AI/ML-powered data pipeline to process real-time sensor data. Zymr's work resulted in a platform that provides data visualization for customer traffic and engagement, improves the shopping experience with indoor navigation, and creates new revenue sources for clients. The analytics engine was successfully scaled to handle over 1000 stores with 100,000 sensors.

Favendo