AI-Driven E-Commerce Store
A full-featured online store for a gadgets and consumer electronics brand — built with an AI recommendation engine at its core. The platform personalises every shopper's experience in real time: surfacing the right products, bundles, and offers based on browsing behaviour, purchase history, and live inventory data. The result is a store that sells smarter, not just louder.
Client
Confidential
Industry
E-Commerce / Consumer Electronics
Services
AI Strategy
E-Commerce Development
UX & Brand Design
Year
2025
A store that looked good but converted poorly.
The client had a functional Shopify store generating moderate revenue, but their conversion rate was stuck below 1.4% and average order value hadn't grown in two years. Traffic was healthy — the problem was the experience. Every visitor saw the same homepage, the same product ordering, the same cross-sells regardless of what they'd browsed, bought, or shown interest in before.
Off-the-shelf recommendation plugins weren't cutting it — they surfaced "also bought" lists based on simple correlations, not behavioural intelligence. The client needed a custom-built store with a real AI layer: one that learned individual shopper preferences, adapted the product catalogue dynamically, and made every visit feel like it was curated specifically for that person.
They also needed the store to handle a rapidly growing SKU catalogue, flash sale events, and a loyalty programme — all without slowing down the browsing experience on mobile.
From generic storefront to intelligent commerce.
Data Audit & Funnel Analysis
We analysed 18 months of Shopify data, heatmaps, and session recordings to pinpoint exactly where shoppers were dropping off and why — before writing a single line of code.
Custom Store Architecture
We rebuilt the storefront from the ground up with a headless architecture — giving us full control over performance, personalisation logic, and the AI integration layer.
AI Recommendation Engine
Our team built a behavioural recommendation model trained on purchase history, browse patterns, and product affinity — updating in real time as users interact with the store.
Performance & Launch
Load time optimised to under 1.2s on mobile. Launched with A/B testing across the key conversion points, iterating weekly on homepage layouts, PDP layouts, and checkout flow.
What we delivered.
AI Strategy
Defined the personalisation architecture and mapped how AI recommendations would integrate with the product catalogue and checkout flow.
UX & Storefront Design
Full UX redesign of homepage, collection pages, product detail pages, and checkout — optimised for conversion and mobile-first browsing.
Headless Development
Custom-built headless storefront with sub-second load times, dynamic rendering, and full AI integration via our recommendation API.
AI Recommendation Engine
Behavioural model that surfaces personalised product recommendations, bundles, and upsells — updated in real time based on each session.
Loyalty Programme
Points-based loyalty system with tiered rewards, referral tracking, and automated email triggers for re-engagement and reward redemption.
Analytics & Optimisation
Real-time sales dashboard with AI-driven insights on product performance, cart abandonment patterns, and recommendation click-through rates.
Numbers that speak for themselves.
3.1%
Conversion rate — up from 1.4% — achieved within 60 days of launch
+41%
Increase in average order value driven by AI-powered bundle recommendations
2.8×
Return on ad spend improvement as personalised landing pages lifted campaign performance
Words from the
people we built it for.
Within two months of launching the new store our conversion rate had more than doubled. The AI recommendations feel genuinely useful — not just random upsells. Customers are buying more because the store is actually showing them things they want.
Ja****
Owner at Confidential
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