AI Product Recommendations for Global Brands
Works with global big brands — AI-powered discovery across GUESS, rag & bone, Beach Riot, Bombshell, and Miss Me.
guess.com.au
What we needed to solve.
- Static merchandising rules were under-performing on PDP and cart pages across five global storefronts.
- Each brand ran a different theme architecture — GUESS, rag & bone, Beach Riot, Bombshell, and Miss Me — and needed one consistent AI recommendation layer.
- Widgets had to feel native to each brand, respect editorial merchandising, and load without harming Core Web Vitals.
How it was built.
Metafields → JSON pipeline
Modelled product attributes, badges, and merchandising signals in Shopify metafields and exposed them as structured JSON so the AI engine consumed one clean, comparable schema across every storefront.
Liquid + JS integration
Built performance-safe Liquid sections and vanilla JS controllers that sync AI recommendations with each brand's PDP, cart drawer, quick view, and complete-the-look modules.
Performance-first delivery
Lazy-loaded rails with skeleton states, deferred third-party JS, image priority hints, and edge-cached responses so Lighthouse and LCP stayed green after every rollout.
The toolkit.
What's live.
Works with global big brands.
GUESS Australia
PDP recommendation rails, cart drawer cross-sells, and complete-the-look bundles synced via Shopify metafields.
rag & bone Australia
AI-ranked search suggestions, related-product rails, and editorial merchandising modules on collection and product pages.
Beach Riot
Personalized PDP recommendations, upsell cart drawer, and Lighthouse-tuned rollout on Shopify Plus.
Bombshell Sportswear
Complete-the-look bundles, quick view, and search suggestion widgets integrated with the AI engine.
Miss Me
Recently viewed, cross-sell carousels, and metafield-driven merchandising signals for the AI layer.
The outcome.
Driven by complete-the-look and cart cross-sells.
Higher click-through into related products and bundles.
Site-wide uplift across the five storefronts.
Maintained after rollout with deferred loading.
Five global brands now share one performance-safe AI recommendation layer — tuned per storefront, editor-controlled, and directly tied to AOV, engagement, and conversion gains.
Core Shopify competencies.
- From-scratch full theme development
- Figma → Shopify (pixel-accurate)
- Liquid, HTML, CSS, JavaScript
- GraphQL Admin & Storefront API
- AJAX Cart & Storefront AJAX API
- Upsell & cross-sell integration
- App integration & configuration
- Marketing campaign pages
- Speed & Core Web Vitals optimization
- Accessibility (WCAG AA)
- Google Analytics 4 (GA4) setup
- WordPress / WooCommerce → Shopify
- Product, customer & order data import
- URL mapping & 301 redirects
- SEO parity & metadata migration
A clear path from brief to revenue.
Discovery
Understanding goals, audience, and constraints.
Strategy
Conversion plan, IA, and technical approach.
Design
Pixel-perfect interfaces aligned to brand.
Development
Clean, scalable Shopify implementation.
Optimization
Performance, SEO, A11y, and CRO.
Launch
QA, deploy, monitor, and iterate.
Verified Upwork reviews.
6 completed jobs · 5.0 average rating. Each project shipped with a perfect score from the client. View full profile on Upwork ↗
More case studies.
GUESS Australia — AI Recommendations & Merchandising
AI-powered PDP rails, cart drawer cross-sells, and complete-the-look bundles for GUESS Australia.
rag & bone Australia — AI Search & Merchandising
AI-ranked search suggestions, related-product rails, and editorial merchandising for rag & bone.
Beach Riot — Personalized PDP & Cart Upsell
Personalized PDP recommendations and upsell cart drawer on Shopify Plus for Beach Riot.
Let's build your next Shopify success story.
Available for new Shopify Plus, theme, and custom app projects. Replies within 24 hours.