Real-Time Analytics Platform for Global Retailer

The Challenge

A global retail company with both online and physical presence was struggling to deliver personalized experiences to their customers. Their batch-oriented analytics infrastructure meant that insights were always at least 24 hours old, making it impossible to respond to customer behavior in real-time.

The company needed a platform that could process millions of customer interactions in real-time, generate personalized recommendations on-the-fly, and integrate seamlessly with their existing e-commerce and in-store systems.

• Over 50 million monthly active customers across channels
• Existing analytics had 24-hour latency for insights
• No real-time personalization capabilities
• Siloed data between online and in-store systems
• Peak traffic of 100K concurrent users during sales events

Our Solution

We designed and built a real-time analytics platform using a modern streaming architecture. The system captures events from all customer touchpoints, processes them through a streaming pipeline, and delivers personalized experiences within milliseconds.

The platform features a unified customer profile that aggregates behavior across channels, real-time ML models for recommendation generation, and A/B testing infrastructure for continuous optimization.

• Event streaming infrastructure processing 10M+ events daily
• Real-time customer profile aggregation across all channels
• Sub-100ms recommendation API powered by ML models
• A/B testing platform for continuous experimentation
• Real-time dashboards for business users

Implementation Approach

We implemented the platform in iterative phases, starting with core streaming infrastructure and progressively adding personalization capabilities. This allowed the business to realize value quickly while we continued to enhance the platform.

• Phase 1: Event capture and streaming infrastructure setup
• Phase 2: Real-time customer profile aggregation
• Phase 3: Recommendation engine with initial ML models
• Phase 4: A/B testing and experimentation platform
• Phase 5: Business dashboards and self-service analytics