EVEREDGE
Complete E-commerce Platform Rebuild
Case study
RetailWeb Application8 weeks

Growing Fashion Retailer

RetailWeb Application8 weeks

A fashion retailer's WordPress/WooCommerce site was slow, difficult to update, and losing sales due to poor mobile experience. They needed a complete rebuild that could handle their growing inventory and traffic.

The challenge

What they came to us with.

A growing fashion retailer was struggling with their legacy e-commerce platform. Page load times exceeded 8 seconds, the checkout process had a 72% abandonment rate, and the admin panel required developer intervention for simple product updates.

Their team was spending 15+ hours per week on manual inventory syncing between their website and warehouse system. Peak traffic during sales events regularly crashed the site, costing them an estimated $50,000 per incident in lost sales.

Our approach

How we built it.

We built a modern, headless e-commerce platform using Next.js for the frontend and a robust PostgreSQL backend. The architecture was designed for scalability from day one, with edge caching and CDN integration.

Key features included: a streamlined 3-step checkout (down from 7 steps), real-time inventory sync with their warehouse system, an intuitive admin panel that non-technical staff could use, and auto-scaling infrastructure that handles 10x normal traffic without breaking a sweat.

We worked directly with their team throughout the 8-week build, with weekly demos and daily Slack access to our developers. The fixed-price contract meant no surprises—they knew exactly what they were paying from day one.

The outcome

What shipped. What changed.

65% faster page load times (3.2s → 1.1s)

34% increase in mobile conversion rate

50% reduction in cart abandonment

Zero downtime during migration

Complete inventory sync with existing systems

EverEdge delivered our complete e-commerce rebuild on time and on budget. Having one team handle design, development, and deployment made everything smoother. The fixed-price model meant no surprises—just results.

Founder

Fashion E-commerce Brand

More work

Keep reading.

Visual Product-Discovery Assistant for Home-Furnishing Retail
AI Integration

RetailA UAE home-furnishing retailer with a 40k-SKU catalogue

Visual Product-Discovery Assistant for Home-Furnishing Retail

Customers shared Pinterest-style inspiration photos over WhatsApp and expected matching SKUs in return. Manual matching cost 20-30 minutes per enquiry; most customers dropped off before the retailer could respond.

  • Enquiry-to-shortlist time compressed from ~25 minutes to ~45 seconds
  • 58% of enquiries now resolve without staff involvement
  • Rate-limited (5 req / 5s burst, 20 req / 60s sustained) to cap SerpAPI spend
Editorial Workflow Platform for Multi-Volume Document Production
Web Application

OtherA publishing-adjacent services company handling 500+ DOCX assets per month

Editorial Workflow Platform for Multi-Volume Document Production

Editorial ops was running 11 separate tools to move a document from intake to edit to merge to format to export. Turnaround was unpredictable and any one tool outage stalled the whole pipeline.

  • 11 editorial tools consolidated into 1 workspace
  • Heavy document merges moved off the request path (no more timeouts)
  • Median turnaround per document: 3.5 days to 10 hours
Research-Grade Linguistic Analysis Platform
Web Application

EducationAn Arabic-language education initiative

Research-Grade Linguistic Analysis Platform

A corpus of 676 Arabic doubled-verb conjugations needed to be explorable by researchers and students alike. Existing academic tools required CSV wrangling and produced static PNGs that nobody could interact with.

  • All 676 entries browsable in a single interactive view
  • Phonetic features auto-discovered from sifat strings (no hand-coded feature set)
  • Silhouette-guided k-selection removes the need to hand-tune cluster count

Ready to achieve similar results?

Let's discuss how we can help transform your business.