RETAIL / E-COMMERCE📍 Australia

Mobile Armour

An AI-powered accessories store that sells smarter

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MA

+20%

Engagement

−20%

Load time

AI-driven

Recommendations

AI chatbot

Support

The Challenge

Understanding the problem

Mobile Armour had a working store, but a slow one — and a catalogue big enough that shoppers struggled to find the right accessory for their exact device. Every extra second of load time and every dead-end search was a lost sale.

The brief was to make the store both faster and smarter: help customers find the right product instantly, and rebuild the front end so it felt quick on the mobile devices its customers actually shop from.

The Marketing Angle

Australian mobile commerce is growing rapidly, but slow loading speeds cost online retailers millions in abandoned carts. This Next.js rebuild ensures the site loads in under 1.5 seconds on standard Australian 4G/5G mobile connections, keeping customers engaged and maximizing conversions.

Our Approach

How we delivered results

01

AI product recommendations

We integrated OpenAI to power contextual product recommendations, surfacing the right accessories for a shopper based on what they are browsing rather than static "related items" lists.

02

Conversational shopping assistant

A built-in chatbot answers compatibility and product questions in natural language, guiding customers to the right item without them needing to know exact model numbers.

03

Rebuilt for speed

Migrating to a modern Next.js front end with optimised images and code-splitting cut load time by around 20% versus the previous build — a direct win for both conversion and SEO.

04

Stripe payments

A streamlined Stripe checkout keeps the path from product to purchase short, with mobile-first UX for the store’s primarily on-phone audience.

✓

Final Outcome

"The rebuilt store engages more shoppers and loads noticeably faster on mobile, with AI doing the heavy lifting of matching customers to the right product — turning a big catalogue from a liability into an advantage."