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Arsin Rug Gallery

A very large catalogue of pieces that all look alike in a thumbnail, and a recommendation layer that does the narrowing.

Arsin Rug Gallery — Luxury retail
ClientArsin Rug Gallery
IndustryLuxury retail
Year2023
CountryUnited States
ScopeE-commerce build and recommendation flow
StatusLive
01 / Overview

Choice paralysis in a luxury catalogue

Handmade Persian carpets are bought on texture, colour, size and room fit, none of which survive a grid of small images. The range is wide, the images are heavy, and most buyers are not specialists. The site had to feel like a high-end gallery and still get someone to a shortlist.

02 / What we did

The practices this build came out of.

01E-commerce

02AI recommendation

03UI/UX

03 / Real screensCaptured from the delivered build
Arsin Rug Gallery — Catalogue
Catalogue
Arsin Rug Gallery — Product detail
Product detail
04 / Approach

An AI selection flow in front of the catalogue

The platform is a WordPress and WooCommerce build with a recommendation layer in front of it: a Find Your Rug flow that takes preference and visual input and returns a suggested set rather than the whole catalogue. Category structure, custom fields and a CDN-backed media pipeline sit underneath, because an image-first site only feels luxurious while it is fast.

WordPressWooCommerceACFRecommendation engineCDN
05 / Experience

Image-first, inquiry-led

The interface is kept deliberately minimal so product photography carries the page, with a warm, earthy palette drawn from the pieces themselves. The purchase path is inquiry-driven rather than a one-click checkout, which is how this market actually buys, so contact and consultation are built into the product view.

06 / Results

Traffic, revenue and conversion figures belong to the client, so we do not publish them. What follows is what the delivered build contains.

AISelection flowPreference-based rug recommendation.
Image-firstCatalogueHeavy photography kept performant.
2023DeliveredLive at arsinruggallery.com.

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