In-store Personalization with Confluent Data Streaming

This post details how to build an in-store personalization system using Confluent Data Streaming. It outlines the requirements for such a system, including high availability, scalability, and low latency. The implementation example focuses on using a mobile app with geofencing and a notification platform (Ably) to trigger real-time offers and information based on customer location and behavior within the store. It also discusses leveraging customer data platforms, streaming data from databases via CDC, and using ksqlDB for real-time insights and ML model integration.