See the complete customer journey
Watch the narrated walkthrough with captions and the demo boundaries stated clearly.
Watch videoWorking showcase / Conversational commerce
Nayara AI Jewellery Advisor
A shopper describes the occasion, outfit, colour and budget in one natural request. Mira turns that intent into visual catalogue recommendations, remembers refinements and helps build a coordinated look.
Working interactionOpen-ended request and multi-turn refinement
Grounded catalogueRecommendations come from 30 illustrative products
Visual sellingProduct imagery and curated styled previews
Safe demo actionVoice or text add-to-bag without an order or payment
Hosted proof
Watch the complete journey
The walkthrough uses the real public experience. Typed turns keep the capture stable while Mira uses the same voice as the live stylist.
87-second narrated walkthrough. Captions included. No copyrighted music.
What the demo proves
Discovery can stay conversational and visual
1
Describe the whole need
Occasion, outfit colour, style, comfort preference and budget can arrive in one request.
2
Refine without restarting
Mira carries earlier context into a request for another metal, colour or category.
3
Coordinate the look
The shopper can ask for matching earrings or bangles using a selected piece as the anchor.
4
Inspect and act
Styled previews and product zoom support review before a voice or text add-to-demo-bag action.
Explore the evidence
Choose the level of detail you need
Start with the hosted walkthrough, use the deck for a sales discussion, or open the live demo and try the flow yourself.
Use the sales conversation deck
Download the editable deck covering the problem, experience, pilot architecture and scope.
Download PPTTry Nayara yourself
Open the working public demo and test the guided voice or text journey with its illustrative catalogue.
Open live demoPaid pilot
Explore this journey with your catalogue
A focused pilot can start with one category, a few high-value journeys and clear review measures for recommendation relevance, completion and safe fallbacks.