NBFS field notes
NBFS field notes
Plan buy quantities for new product launches using your catalog as evidence, not your gut.
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Collected facts
Launching a new product with zero sales history? DontGuess finds similar products in your existing Shopify catalog, combines them with your pre-launch signals like waitlist size and conversion rate, and generates a size-by-color buy plan you can defend. Every recommendation shows the comps used, the math behind it, and how constraints like MOQ and pack multiples were applied. Edit any cell, then export a clean CSV ready for your PO. Built for brands that launch new styles regularly.
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
Developer content stays separate from collected facts and user evaluations.
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.