E-commerce · Next.js · Gen-Z

“The perfume house for the next generation,” built like a product

A concept storefront for a younger, discovery-led buyer — built less like a catalogue and more like a product, with a guided scent-finder at its centre and multi-market shipping treated as a design constraint rather than a settings page.

Next.jsReactTypeScriptVercel
View the live build
Mazah — homepage of the concept build
MazahGen-Z discovery-led · $29–65. Self-initiated concept build.
This is a self-initiated concept build, not a paid client engagement. It is included to demonstrate approach and range.

Guided discovery instead of browsing

A shopper who does not yet know what they like cannot use a filter, because filters require you to already have preferences. This is the default state for a younger buyer entering the category, and a conventional grid serves them badly.

The concept leads with a scent-finder quiz that asks about preferences the buyer can actually answer — moods, contexts, scents they already like from outside fragrance — and translates those into a recommendation. It replaces the paralysis of a full catalogue with a short, guided path.

Provenance for a sceptical audience

Younger buyers are unusually good at detecting marketing language, and generally more responsive to verifiable specifics than to atmosphere. A France-made originals line is a concrete claim, so the concept states it plainly and puts it where the trust question is actually being asked.

Five markets, one storefront

Shipping across the US, UK, Canada, Australia and France affects currency, duties, delivery expectation and returns — all of which alter the pre-purchase questions a visitor has.

The concept surfaces market-specific information early rather than deferring it to checkout, where an unexpected duty line is one of the most reliable ways to lose a completed basket.

Built like a product, not a brochure

The build treats the storefront as an application: a typed content model, componentised interface, and interaction that responds immediately. The quiz in particular has to feel instant, because a discovery tool that stutters gets abandoned mid-flow.

What was built

AI scent-finder quiz

Guided discovery for buyers with no established fragrance preferences, replacing filters they cannot yet use.

France-made originals line

A verifiable provenance claim, stated plainly for an audience that discounts marketing language.

Five-market shipping logic

Currency, duties and delivery expectations surfaced before checkout rather than at it.

Application-grade front end

Typed content model and componentised UI, so the quiz responds instantly enough to finish.

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