Yes. Elara reasons about age-appropriate recommendations from the brief the shopper provides. A parent buying for a 6-month-old gets different recommendations from one buying for a 12-year-old — both in terms of sizing and in terms of occasion appropriateness, aesthetic, and practicality. Elara calibrates to the stated age, including how occasion vocabulary shifts across age bands.

Yes. Elara answers clothing questions from your product metadata. If your catalog includes fabric composition, softness ratings, construction notes (tagless, flat seams, elasticated waist), and care instructions, Elara can filter by these requirements and build recommendations that meet specific sensory or comfort needs. Brands that enrich their catalog with this information see significantly better outcomes for parents shopping for sensory-sensitive children.

A parent asking for coordinated outfits for a 4-year-old boy and a 7-year-old girl receives two separate age-appropriate outfit recommendations from your catalog with a unifying color palette or design element, shown together in the chat response so the parent can see how they work together before ordering. Elara builds coordination at the right level — a coordinating palette, not identical garments.

Almost entirely the parent, for ages 0-12. From 12-16, there's an increasing split between parent-led and teen-led search. Elara's conversational interface works for the parent's language — occasion-first, child's age and gender as context, comfort and practicality as constraints — while still handling teen-authored briefs naturally when they occur.

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.