Purplle scales personalized beauty experiences with Redis

300k+real-time pricing updates per second
10M+ MAUswith 1:1 personalization and search
90B+monthly data points supported

Challenge

Purplle needed to deliver personalized, localized beauty experiences to a growing user base of over 10 million monthly active users. A key focus was expanding access to customers in non-metro and regional markets—many of whom were previously underserved by high-quality beauty offerings.

To support this growth, Purplle required real-time infrastructure that could scale with unpredictable spikes in traffic, manage session states reliably across devices, and handle complex workloads, like live pricing updates and inventory sync, across 60K+ SKUs and 10+ warehouses. Their legacy systems struggled with autoscaling, low-latency personalization, and managing high-concurrency workloads at scale.

“

Redis is reliable, resilient, and built for scale. It powers our most critical systems—from pricing to personalization—while letting us focus on delivering innovation to our customers.

Vivek ParihalHead of Engineering, Purplle

Solution

Purplle adopted Redis to support mission-critical workloads, including real-time pricing, session management, semantic search, and personalization. Redis powers their pricing engine—capable of handling 60K–300K price updates per second—and supports real-time inventory syncing across multi-tenant environments. Purplle's fast, reliable architecture helps it deliver smooth customer experiences even at high volume. The engineering team uses Redis to create highly personalized recommendations and 1:1 targeting in under 100ms.

Key benefits & results

Hyper-scalability
Purplle powers 90B+ monthly data points and 750M+ CRM messages with elastic scaling.
Personalization at scale
The team enables real-time, per-user recommendations and search.
Operational resilience
The company now operates on a reliable infrastructure with no major incidents in 2.5 years.
Speed and simplicity
Lightning-fast pricing updates and session handling at scale are the new norm for the business.

Technology in Action

Redis cloud: Supports pricing engine, session state, CRM delivery, and inventory sync
Clustered Redis architecture: Enables high availability and horizontal scaling across workloads
Semantic search: Local-language discovery powered by vector-based GenAI capabilities
Omnichannel integration: Delivers seamless offline and online customer experiences

Next Steps

Purplle is investing in AI-driven content generation using their internal GenAI platform. Redis will remain central to powering fast, personalized video experiences at scale—helping customers discover the right beauty products through real-time, data-driven recommendations.