# Custom E-Commerce Platform

> Client: Growing fashion brand | Industry: commerce-brands | Duration: 14 weeks | Canonical URL: https://yariinfotech.com/work/ecommerce

## Executive Summary
A scalable e-commerce experience designed for growing brands and modern online businesses.

## The Challenge
Their previous e-commerce platform suffered from slow page loads and a high-friction checkout, suppressing conversion. Inventory sync was manual and error-prone.

## The Solution
We redesigned and rebuilt the e-commerce core with a mobile-first, frictionless checkout flow, real-time inventory, and personalized recommendations powered by simple ML.

## Results & Measured Impact
Increased checkout conversion by 35%, reduced page load times by 70%, and cut stockouts by 80%.

### Key Performance Metrics
- **Conversion**: +35%
- **Page load**: −70%
- **Stockouts**: −80%
- **Delivery**: 14 weeks

## Core Architectural Constraints
- Sub-500ms catalog filter response across 5,000+ SKU inventory variations
- Instant cart mutation feedback with zero full-page reloads
- Strict idempotency on webhook order fulfillment and payment verification

## Initial Bottleneck & Diagnosis
Dynamic multi-attribute database queries caused query execution spikes under high concurrency when shoppers combined size, color, and price filters.

## Key Engineering Decisions & Trade-offs
### Decision 1: Implemented pre-computed inverted facet indexes with edge caching
- **Rationale**: Reduced filter response time from 640ms to 24ms across high-traffic shopping spikes.
- **Engineering Trade-off**: Required background index revalidation hooks on inventory mutations.

### Decision 2: Optimistic cart state with server action verification
- **Rationale**: Delivered zero-perceived-latency add-to-cart interactions.
- **Engineering Trade-off**: Required client rollback handling for edge-case out-of-stock events.

## Engineering Retrospective
"Pre-computing product facet indexes prior to peak promotional launches delivered 100% uptime with zero database resource bottlenecks."

## Technologies Used
Next.js, Stripe, Supabase, Tailwind