ShopFlow E-Commerce Platform
A high-performance DTC e-commerce platform built to handle extreme traffic spikes during seasonal launches. Server-side rendering, real-time inventory sync, and auto-scaling infrastructure enabled a 65% revenue increase within 6 months of launch.
Interactive Preview
Filters
Category
Price
$25 – $180
Alpine Puffer Jacket
Merino Crew Neck
Canvas Tote Bag
Wool Beanie
Product Catalog
Filterable product grid with real-time stock and quick-add
The Challenge
A growing DTC brand needed a scalable e-commerce platform that could handle seasonal traffic spikes and integrate with their existing inventory management system.
Seasonal product drops caused Shopify checkout failures — estimated $340K in lost sales during the last holiday season
Inventory sync delays of up to 15 minutes caused overselling on 12% of drop-day orders, triggering refunds and customer churn
Page load times of 4.5 seconds on product pages hurt conversion rate and SEO rankings
No ability to create custom product configurators or interactive lookbooks that the brand design team envisioned
The Solution
We delivered a Next.js storefront with server-side rendering for SEO, Stripe payment integration, and a real-time inventory sync pipeline. Auto-scaling infrastructure handles 10x traffic surges.
Next.js storefront with ISR for product pages — achieving 95+ Lighthouse scores and sub-1-second Time to Interactive
Custom inventory sync engine with WebSocket connections providing real-time stock updates across web, wholesale, and retail POS
AWS auto-scaling group with predictive scaling policies tuned for product drop patterns, pre-warming 30 minutes before scheduled launches
Interactive product configurator built with Three.js for their custom apparel line, increasing average order value by 23%
Project Timeline
- 1
Platform Audit & Planning
Analyzed existing Shopify setup, mapped all integrations (shipping, returns, loyalty), and designed the migration strategy to avoid any downtime during the transition.
- 2
Storefront & Design System
Built the Next.js storefront with a custom design system matching the brand identity. Implemented SSR, image optimization, and the product configurator.
- 3
Backend & Integrations
Developed the Node.js API, Stripe payment integration with multiple methods, real-time inventory sync pipeline, and shipping/returns automation.
- 4
Load Testing & Optimization
Simulated product drop traffic patterns with 100K concurrent users. Tuned auto-scaling policies, optimized database queries, and implemented edge caching strategies.
- 5
Migration & Launch
Migrated 50K+ customer accounts, order history, and product catalog. Ran parallel systems for 1 week before full cutover. Zero orders lost during migration.
Key Features
Product Configurator
Interactive 3D product customizer lets customers design custom colorways and see real-time previews before ordering.
Instant Checkout
One-click checkout with Apple Pay, Google Pay, and Klarna buy-now-pay-later — reducing cart abandonment by 18%.
Real-Time Inventory
WebSocket-powered stock updates across all channels — no more overselling during high-traffic product drops.
Interactive Lookbooks
Shoppable editorial content with hotspot links directly to products, blending storytelling with commerce.
Smart Recommendations
ML-powered product recommendations based on browsing behavior, purchase history, and trend analysis.
Drop Day Mode
Pre-scheduled product launches with virtual queuing, countdown timers, and priority access for loyal customers.
Technical Architecture
The platform uses a headless architecture with Next.js on the frontend deployed to Vercel for edge-optimized SSR. The backend is a Node.js API running on AWS ECS with auto-scaling policies tuned for traffic spikes. PostgreSQL handles transactional data while Redis serves as the caching layer and manages the real-time inventory sync via pub/sub. Stripe webhooks feed into an event processing pipeline for order lifecycle management. Product images are optimized and served through CloudFront with automatic WebP conversion. The entire infrastructure is defined in CDK with separate environments for staging and production.
Tech Stack
Results
+28%
Conversion Rate
99.99%
Uptime During Peak
+65%
Revenue Growth
What Our Client Said
"Our last product drop handled 47,000 concurrent visitors without a single hiccup. Before CodingAlphas, we would have lost half those sales to checkout failures. The product configurator alone increased our AOV by 23% — it paid for the entire project in the first quarter."
Marcus Rivera
Head of Digital, ShopFlow Apparel
Lessons Learned
E-commerce migrations need a parallel-running period. Running both systems simultaneously for a week caught data sync issues that would have caused order problems post-cutover.
Predictive auto-scaling based on historical traffic patterns is far more effective than reactive scaling for planned events like product drops — pre-warming instances 30 minutes early eliminated cold start latency.
Investing in a design system upfront saved significant time during the lookbook and campaign page builds that followed the initial launch.
Want results like these?
Tell us about your project and we'll show you what's possible.