Elara's recommendations are only as sophisticated as your catalog data. For luxury brands with rich product metadata — detailed material descriptions, occasion notes, styling context, editorial positioning — Elara produces recommendations that reflect that sophistication. The rationale language Elara uses in outfit recommendations is drawn from your brand's own product descriptions and editorial framing. If your brand writes like a luxury house, Elara reasons like one.

Yes. Elara's occasion reasoning distinguishes between formal levels and dress codes: black tie, white tie, cocktail, business formal, smart casual, resort. Each implies different aesthetic and practical requirements. The recommendation for a black-tie gala in Milan is different from the recommendation for a smart-casual client dinner in Paris, even from the same catalog.

Elara's responses draw from your product catalog and any brand-specific guidance you provide in Widget Studio. You can configure the tone, the brand voice, the types of claims Elara makes, and the topics it defers on. A luxury heritage brand can configure Elara to reflect that heritage in every recommendation — or choose to keep the chat interface minimal and product-focused if that better suits the brand identity.

Anita Balchandani of McKinsey used the phrase "always-on clienteling" to describe the direction luxury brands need to move online. Elara is the specific implementation: an AI that knows each shopper's taste, curates for their specific occasion, and is available at 2am when a shopper is planning what to wear to an event next week. Every session, Elara improves. The clienteling relationship that luxury brands offer their best in-store customers, available to every online visitor.

Yes. The SDK works with Hydrogen and any front end that can load a script or call the API.

Your catalog, stock and anonymous on-site behaviour. No personal data is required to style a shopper; nothing is shared across brands or used to train models for anyone else.