Case Study
E-commerce
Express.jsMongoDBNode.jsRedis
The client had a beautiful frontend website but was struggling with backend performance issues. Slow loading times, delayed inventory updates, and checkout failures during high-traffic events like seasonal sales were hurting both conversions and customer trust.
They needed a backend system that could handle large traffic spikes, scale smoothly with growing orders, and ensure fast response times for product pages and carts. However, their in-house team lacked expertise in backend technologies like Node.js.
After evaluating multiple technologies, our experts at Lucent Innovation recommended Node.js for its speed, real-time capabilities, and scalability. The client opted to hire Node.js developers from our team to revamp their backend architecture.
Our team included:
We followed Agile methodology with weekly stand-ups, task tracking, and sprint reviews to maintain transparency and progress visibility.
We restructured the core backend using Node.js with Express.js and a MongoDB database for flexibility. Redis was added to cache product data and reduce server load during peak hours.
The upgraded backend included:
Built using Express.js with MongoDB for flexible schema and Mongoose for efficient queries, enabling real-time stock updates and advanced category filtering.
Developed with Node.js and JWT-based session handling, ensuring secure and fast transactions. Stripe and PayPal APIs were integrated for payments.
Implemented using RESTful APIs and MongoDB document relations to track order status, returns, and cancellations with audit logs.
Created with Role-Based Access Control (RBAC) and Express middleware, allowing real-time updates to products, discounts, and flash sale campaigns.
Enabled using Socket.io and Nodemailer, providing instant order and shipping updates via email and dashboard alerts.
Achieved with JWT tokens for stateless authentication and Redis caching for session persistence and performance under high load.
Implemented server-side response compression (Gzip), optimized API queries, and used lazy-loading for non-critical data to ensure faster crawlability and load times.
Core Backend Development
Node.js, Express.js, JavaScript (ES6), Mongoose
Database & Caching
MongoDB (NoSQL Database), Redis (In-memory Session Store)
Authentication & Security
JWT (JSON Web Tokens), RBAC (Role-Based Access Control), HTTPS
Real-Time & Notifications
Socket.io (WebSocket Communication), Nodemailer (Email Alerts)
Payment & Order Integration
Stripe API, PayPal SDK, RESTful Order APIs
Performance & SEO Optimization
Gzip Compression, Lazy Loading, Optimized MongoDB Queries
DevOps & Deployment
AWS EC2, PM2 (Process Manager), GitHub Actions, CloudWatch (Monitoring)
Page load time improved by 55%
Checkout abandonment rate dropped by 23%
Cart API latency reduced from 1.2s to 240ms
Sales during flash campaigns doubled
One-stop solution for next-gen tech.