NBFS field notes
NBFS field notes
Body type. Skin tone. Occasion. Your store's AI fashion stylist styles every shopper into a sale.
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Collected facts
iWAND styles every shopper like a personal stylist, asking about body type, skin tone, and how they want to look and feel, or uploading pieces they already own. It builds outfits from your catalog and shows with virtual try-on on a matched model. Shoppers can also search by image or conversation. On product pages, agents clear buying doubts, including size, and grow the basket with try-on outfits. Track conversion, AOV & revenue lift in the dashboard. Catalog auto-sync, live in minutes, no code.
Structured evaluations
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Evaluations are read-only after graduation or archival.
| Metric | Median | Responses | Distribution 1→5 |
|---|---|---|---|
| Setup & Ease of Use | — | 0 | 0 / 0 / 0 / 0 / 0 |
| UX/UI | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Listing Accuracy | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Reliability & Performance | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Support | — | 0 | 0 / 0 / 0 / 0 / 0 |
| Value for Money | — | 0 | 0 / 0 / 0 / 0 / 0 |
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From the developer
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Discussions · 0
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External NBFS sticker
The SVG updates when this app graduates or is archived. It is a listing marker, not a quality certification.