Case Study: Domino’s achieves real-time operational visibility and global expansion with Confluent

Domino’s Expands Into Global Markets and Provides Real-Time Operation Views to Franchise Owners with Confluent

Domino’s, the global pizza-delivery leader with over 6,000 U.S. stores and 17,000 worldwide, needed a robust enterprise data intake and streaming platform to deliver real-time store operations analytics, support international expansion, and enable more personalized marketing across many ordering channels. Already using Apache Kafka for some pipelines, Domino’s sought an enterprise-grade solution and turned to Confluent to simplify data pipelines and provide a single pane of glass for data in motion.

Confluent upgraded Domino’s Kafka deployment to the Confluent platform and helped build a real-time store operations analytics system for franchise owners, then extended streaming to support targeted marketing from digital channels. As a result, Domino’s now has real-time visibility into order volume and store efficiency, expects 100% uptime to support always-on commerce, and gains a scalable architecture to expand U.S. operations into global markets — outcomes enabled by Confluent.

Domino’s