Yes. For accessories-only brands, Elara takes the shopper's outfit brief ("I have a plain ivory midi dress for a wedding") and recommends accessories from your catalog that complete the look. It doesn't need clothing in your catalog to understand what the shopper is wearing — it uses their description. The recommendation is for your accessories, contextualized by the shopper's existing outfit.

Elara takes a recipient brief — their style profile, their wardrobe tendencies, the occasion, the budget — and builds a relevant recommendation from your catalog. The gifter doesn't need to know exactly what the recipient owns. Elara builds from the described aesthetic identity. Gift recommendations are presented with rationale: "This necklace works for someone who dresses classically because it's versatile across formal and semi-formal occasions without being occasion-specific."

Yes. Elara's styling intelligence includes accessory combination logic — when mixing metals works (and when it doesn't), how to layer necklaces, how to balance statement earrings with minimal other accessories. These recommendations draw on styling knowledge and your specific catalog. A shopper who asks "can I wear my gold bangle with this silver necklace?" gets a specific, honest answer.

VTO for jewelry shows pieces as positioned overlays on the shopper's photo, in the context of the complete outfit they described. Earrings, necklaces, and bracelets render well in this format. Fine details (engraving, stone faceting) are less visible in VTO than in product photography — Elara notes this in the VTO interface and links back to the detailed product images for those elements. The VTO value is primarily in showing scale, proportionality, and how a piece works within the complete look.

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.