From 5-second load times to sub-second performance. From crashed servers to 99.99% uptime.
Overview
Global Retail Corp was losing $180K monthly to abandoned carts and crashed servers. We rebuilt their entire platform from the ground up — and within 90 days of launch, they saw a 65% increase in conversions, $2.5M in new monthly revenue, and zero downtime during their biggest Black Friday ever.
The story
What was at risk
Every month, Global Retail Corp watched $180,000 walk out the door. Their 5-second load times were killing conversions. 75% of shoppers abandoned their carts. The site crashed during every major sale — including Black Friday, their biggest revenue day. And mobile users? 80% bounced before seeing a single product. The CEO called it 'death by a thousand cuts.'
How we responded
We didn't just fix their website — we built a revenue machine. Page loads dropped from 5 seconds to 1.2 seconds. Cart abandonment fell from 75% to 25%. The AI recommendation engine now generates 2.5M personalized suggestions daily (with 92% accuracy). And during their biggest Black Friday ever? Zero downtime. Zero crashes. Just $2.5M in new monthly revenue.
Deliverables
The concrete capabilities designed, built, and shipped in this engagement — each one targeting a specific problem identified above.
Every visitor sees products they actually want. Our AI analyzes behavior in real-time, serving 2.5M personalized recommendations daily with 92% accuracy.
We cut cart abandonment by two-thirds. Shoppers complete checkout in 45 seconds — with their preferred payment method from 15+ options.
50% reduction in abandoned carts = recovered revenue every single day
Live inventory tracking across all warehouses. Customers see accurate stock levels and delivery estimates — no more 'sorry, we oversold' emails.
80% of mobile visitors used to bounce. Now they convert at 150% higher rates with our app-like PWA — works offline, loads instantly, sends push notifications.
Know what's selling, who's buying, and what's about to trend — before your competitors do. Predictive insights help the team optimize inventory and marketing spend.
The old platform crashed every Black Friday. The new one handled 10x normal traffic without breaking a sweat. Auto-scaling means no more 3am emergency calls.
Technology
The tools behind the build, and the role each one played.
React 18
Modern UI with concurrent features
TypeScript
Type-safe development
Tailwind CSS
Utility-first styling
Redux Toolkit
State management
Node.js
High-performance server runtime
GraphQL
Flexible API queries
PostgreSQL
Relational database
Redis
In-memory caching
AWS
Cloud hosting and services
Docker
Containerization
Kubernetes
Container orchestration
CloudFlare
CDN and security
Outcome
Within 90 days of launch, ShopNova paid for itself — and then some. Here's the scoreboard:
Performance Boost
0%From 5s to 1.2s
Page load speed improvement
Conversion Rate
+65%From 2.1% to 3.47%
Increase in sales conversion
Revenue Growth
$2.5MNew recurring revenue
Additional monthly revenue
User Satisfaction
0.0/5From 3.2/5
Average customer rating
Beyond the launch
The changes that keep paying off after the engagement ended.
We went from dreading Black Friday to crushing it. $2.5M in new monthly revenue, zero downtime during 10x traffic spikes, and our customer satisfaction scores hit an all-time high. This team doesn't just build platforms — they build revenue machines.
Our old platform crashed every major sale. Now I sleep through Black Friday. The auto-scaling infrastructure handles anything we throw at it, and we've cut our cloud costs by 35% at the same time. That's not supposed to be possible.
Visual showcase of the project's key interfaces and features.
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Global Retail Corp was losing $180K/month before we rebuilt their platform. Let's find out what's slipping through the cracks in yours — and fix it.