Kirna Zabête is a fashion destination known for its razor-sharp curation of designer collections - from runway staples to emerging cult favorites. The luxury fashion multibrand platform houses brands such as Saint Laurent, Sacai, Miu Miu, Khaite, and more. Founded by Beth Buccini, the brand brings editorial taste to retail, blending the boutique feel of a personal stylist with the scale of a global e-commerce platform.
With stores in New York, East Hampton, Palm Beach, and beyond, and an increasingly digital-first clientele, the challenge was clear: how do you translate that high-touch, stylist-led experience into a real-time digital environment?
Kirna Zabête’s strength lies in its curation, but online, every shopper has a different interpretation of “perfectly curated.” Some crave edgy avant-garde, others lean classic but playful, and many don’t fit into any fixed category.
The team needed a way to deliver that same editorial precision per user - instantly, without manual rules, and at scale.
PSYKHE AI deployed its real-time, per-user AI merchandising engine to dynamically reorder product listing pages and discovery surfaces based on individual taste - inferred live from each shopper's micro-behaviors.
What we implemented:
Methodology: We ran a clean A/B test over six months on category pages (PLPs). One group used PSYKHE AI’s psychographic-powered, real-time PLP ranking; the other relied on the site’s existing sort logic. RPV encompasses lift in both average basket value and conversion rate.
Kirna Zabête isn’t a mass retailer - it’s a moodboard. And moodboard retail requires intelligence that understands not just what products are, but how they feel to the person browsing.
PSYKHE AI delivered that intelligence - not by flattening shoppers into segments or relying on past behavior, but by interpreting taste in the moment and ranking accordingly.
