Magento · AI integration

AM Retail Group

Five brands. Five storefronts. One platform — built so adding the sixth is effort, not a project.

Stack & integrations
Adobe Commerce AI recommendations Fraud detection Address suggestion Multi-currency / international shipping ERP / OMS integration Klaviyo Loyalty engine Cookie compliance

AM Retail Group runs multiple international fashion brands. The brief: five distinct storefronts that don't feel templated, on one back-office that doesn't fall over.

The problem

Five brands, five disconnected sales processes

Each brand was being run as its own thing. Five different sales pipelines, five different financial views, five different ways of handling fraud and returns. Adding a sixth brand under that model meant linearly adding more pain.

What we built

One Adobe Commerce instance with five storefronts

Single platform, five themed front-ends. Centralised product catalogue, customer data, OMS hand-off. Per-region currency and tax. International shipping that talks to warehouse and billing as a single transaction, not three.

AI recommendations

Real recommendations, not 'related items'

A self-learning recommendation layer trained on actual customer behaviour. The longer it watches, the more relevant the suggestion. It's wired into product pages, cart, and email.

Fraud defence

Catch fraud before payment, not after refund

An alert layer that flags fake cards, mismatched payment details, and gamed loyalty applications at order placement — before money moves.

Delivery

Four parallel teams shipped on a fixed launch date

Four coordinated teams worked on different stores simultaneously. Daily architecture sync. Single release manager. Launched on the date we set at week one — not the date we hoped for at week thirty.

Want this kind of build for your business?

Tell us what you're trying to do. We'll tell you honestly whether we're the right fit — and if we are, we'll have a senior engineer embedded in your team within two weeks.

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