Case Study

E-commerce Platform

A high-performance e-commerce platform supporting real-time inventory management, multi-vendor operations, and seamless payment processing at scale.

The Challenge

Understanding the Problem

The client needed a marketplace platform capable of handling 50,000+ concurrent users during flash sales, supporting multiple vendors with independent inventory.

Our Approach

We designed a microservices architecture with event-driven inventory management, distributed caching, and elastic scaling to handle traffic spikes.

Phase 1

AI Product Recommendations

Phase 2

AR Try-On Feature

Phase 3

Voice Commerce Integration

Phase 4

Same-Day Delivery Platform

The Solution

Custom marketplace platform with real-time inventory sync, vendor portal, and integrated payment gateway. Redis-based cart system with sub-100ms response times.

100K+ Concurrent Users
<1.5s Page Load
+300% Conversion Rate

The Outcome

Platform handles 100K+ concurrent users during peak sales with 99.9% uptime. Achieved 3x increase in conversion rate through optimized checkout flow.

Impact: 100K+ Concurrent Users

Technical Deep Dive

Engineering Excellence

A comprehensive look at the technical architecture and implementation details that power this solution.

architecture

Microservices on Kubernetes with MongoDB for product catalog and PostgreSQL for transactions. Redis cluster for session and cart management.

security

PCI-DSS Level 1 compliant payment processing. Fraud detection using ML models. Rate limiting and DDoS protection via Cloudflare.

System Architecture

CloudFront CDN

Edge Caching

API Gateway

Rate Limiting

Microservices

Django + FastAPI

Redis Cluster

Cart & Sessions

PostgreSQL

Transactions

HTTPS: cdn → api

Route: api → services

Cache: services → redis

Persist: services → db

Development Journey

From Concept to Launch

4 weeks

Platform Architecture

Designed microservices architecture, database schema, and API contracts for 20+ services.

12 weeks

Core Commerce Engine

Built product catalog, inventory management, cart system, and order processing pipeline.

6 weeks

Vendor Portal

Created comprehensive vendor dashboard with inventory management, analytics, and payout tracking.

4 weeks

Payment & Checkout

Integrated Stripe for payments, implemented fraud detection, and optimized checkout conversion.

4 weeks

Load Testing & Launch

Conducted load testing with 100K concurrent users, performance tuning, and staged rollout.

Measurable Impact

Key Results

Primary Outcome

100K+ Concurrent Users

Direct business value delivered.

100K+

Concurrent Users

Peak load capacity

<1.5s

Page Load

Average response time

+300%

Conversion Rate

Checkout optimization

Impact Analysis

Peak Traffic

Before

10K users

After

100K users

10x Capacity

Checkout Time

Before

45 seconds

After

12 seconds

73% Faster

Cart Abandonment

Before

78%

After

34%

56% Reduction

Technology Stack

Tools & Frameworks

Vue.jsDjangoRedisPostgreSQLMongoDBElasticsearchStripeAWS

Implementation

Distributed Cart with Redis

High-performance cart service using Redis with automatic inventory reservation.

logic.js

python

1class CartService:
2    async def add_to_cart(self, user_id, product_id, qty):
3        cart_key = f"cart:{user_id}"
4        async with self.redis.pipeline() as pipe:
5            await pipe.watch(f"inventory:{product_id}")
6            pipe.multi()
7            pipe.decrby(f"inventory:{product_id}", qty)
8            pipe.hset(cart_key, product_id, qty)
9            await pipe.execute()

Performance

Performance Audits

Performance

SEO

Accessibility

Best Practices

"Our Black Friday sale was our biggest ever - the platform handled 10x our normal traffic without breaking a sweat."

CEO, Fashion Marketplace

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