Case Study
E-commerce Platform Scale Optimization
E-commerce
Problem Statement
A growth-stage commerce brand faced checkout slowdowns during peak traffic, inconsistent inventory updates, and delayed cart recovery journeys.
Technical Architecture
We rebuilt the commerce core using Node.js microservices and a React storefront layer, introduced Kafka for order/inventory event propagation, Redis for cart/session acceleration, and PostgreSQL for transactional consistency. CI/CD pipelines were tuned for safe high-frequency releases.
Technology Stack: Node.js, React, Kafka, Redis, PostgreSQL, TypeScript, AWS
Business Transformation
The platform shifted from batch-driven operations to real-time commerce events, improving customer journey continuity from browsing through fulfillment.
Quantifiable Outcomes
- 61% improvement in p95 checkout response time
- 43% increase in successful cart-to-order conversion
- 68% reduction in inventory mismatch incidents