NBFS field notes
NBFS field notes
Sort products with AI and real shopper behavior. Automated merchandising can help increase sales.
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Collected facts
SortLab sorts and merchandises Shopify collections using AI goal presets, revenue, margin, and a behavioral pixel — tracking impressions, click-through rate, and add-to-cart rate per product. Your collections optimize themselves. Segments are included: divide any collection into independent sorted zones. Pin products to the top. Push sold-out items to the end automatically. A/B testing lets you run experiments and auto-apply the winner.
Structured evaluations
Rate only the dimensions you experienced. Use N/A when an axis does not apply.
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.