Design Validation
Validate apparel designs before you sample.
Sampling is expensive. Production runs are more expensive. The most painful place to learn that a design does not have a market is sitting in a warehouse full of unsold inventory. Dokimi's design validation gives you a fast, structured read on whether a piece is worth taking to the next step.
A real evaluation, not a hype machine.
You upload up to four images of a garment — front, back, and detail shots — and Dokimi returns a market-fit score, strengths, risks, target customer notes, and concrete recommendations. The model is tuned to think the way a buyer thinks: silhouette versus trend cycle, fabric versus price point, graphic legibility, colorway competition, and category saturation.
If a piece scores low, you see exactly why and can iterate on the design without burning a sample.
Optional: feed it your performance data.
If you already have a SKU running ads, drop in price, spend, ROAS, CTR, CPC, add-to-carts, and purchases. Dokimi switches into evaluative mode and grades the design against your own benchmarks instead of generic ones. Use it to decide whether to scale, kill, or rework an existing piece.
From validation to action.
Strong designs get the green light, and you can immediately send them into the model-shot generator or push them into a tech pack. Weak designs get specific feedback you can route back into the AI design studio for revision. The whole loop — design, validate, iterate, validate again — happens inside the same app.