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E-Commerce

Headless Personalization Engine for Global Fashion
Retailer

Refactoring a monolith platform into a fast Next.js headless storefront equipped with AI personalization recommendations.

220%Storefront Load Velocity
14%Increase in Checkout CSAT
3.2xRecommendation Conversions

The Challenge

A retail clothing brand experienced high bounce rates and poor conversions due to slow page load speeds on their legacy e-commerce platform. Furthermore, their static suggestion engine was unable to target shoppers' individual tastes dynamically.

Our Solution & Engineering Approach

We decoupled the storefront using Next.js on Vercel, connecting to a commerce backend via GraphQL APIs. We integrated a real-time behavioral recommendation model that tailors product placements based on user clicks and search intent.

Key Achievements

Decreased core page loads from 4.2 seconds to 650ms worldwide.

Deployed behavioral AI recommendation modules boosting average cart value.

Built multi-region localization schemas for currency, tax, and inventory sync.

Client Feedback
Our conversion rate jumped immediately after launch. Shifting headless has allowed us to deliver an ultra-fast customer experience that feels uniquely personalized to every visitor.
Vanessa Albright
Digital Commerce Officer, Aura Threads Global

Project Blueprint

ClientAura Threads Global
IndustryRetail & E-Commerce
Timeline5 Months
Services Delivered
Headless E-Commerce PlatformCustom Software DevelopmentWeb Development
Tech Stack
Next.jsGraphQLShopify PlusAlgoliaTailwind CSSPython AI Engine
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