Confluent
102 Case Studies
A Confluent Case Study
Victoria’s Secret, a major intimate apparel retailer, needed a more scalable and real-time data architecture to handle holiday traffic spikes, reduce data silos, and support faster decision-making across logistics, stores, digital, and finance systems. The company moved from a self-managed streaming setup to Confluent’s cloud-native data streaming platform to improve operational efficiency and deliver real-time data insights.
Confluent helped Victoria’s Secret integrate data across operational and analytical systems in real time, enable multi-cloud and multi-region replication, and strengthen security with role-based access control and encryption. As a result, Victoria’s Secret improved scalability for peak seasons, increased data consistency and recovery resilience, and made faster business decisions with less downtime and fewer manual data issues.
Harikumar Venkatesan
Platform Engineering Lead