Real-Time Edge Analytics Platform
Built a comprehensive edge analytics platform that processes real-time store data at the edge, enabling instant insights into customer behavior, inventory optimization, and store performance. The system handles millions of events daily across 500+ retail locations with sub-100ms latency.
Project Overview
Technologies Used
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The Challenge
The client needed real-time analytics across 500+ retail locations with minimal latency impact. Their existing centralized solution had 2-second delays, causing missed opportunities for real-time personalization and dynamic pricing. During peak shopping hours, the system would become overloaded, leading to degraded customer experiences.
Our Solution
We architected an edge-first platform using Vercel Edge Functions to process analytics at the edge, reducing latency from 2s to 90ms while maintaining 99.99% accuracy. Implemented distributed caching with Redis, real-time event streaming with Kafka, and machine learning models for predictive analytics. The system automatically scales based on store traffic patterns.
Our Approach
Next.js
Core framework powering the application architecture and user experience.
Edge Functions
Essential technology enabling scalability and performance optimization.
PostgreSQL
Critical infrastructure component for data management and persistence.
Redis
Supporting technology enhancing system capabilities and integration.
Kafka
Additional tooling for monitoring, deployment, and operations.
The Results
18% increase in checkout conversion through real-time cart abandonment interventions
90ms p95 TTFB across all geographic locations
Zero-downtime deployments with blue-green strategy
99.99% uptime SLA achieved across all stores
$2.5M annual revenue increase from dynamic pricing optimization
Real-time inventory accuracy improved to 98.5%
Key Metrics
Business Impact
Enabled data-driven decision making in real-time, leading to optimized store layouts, dynamic pricing strategies, and personalized customer experiences that directly increased revenue by $2.5M annually.
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Let's discuss how we can help you transform your business with cutting-edge technology solutions.