7 October 2026International edition
Vol. I · No.
7 October 2026
AI in Fashion
DAILY
The daily briefing on AI in the fashion business
Where fashion meets artificial intelligence.
Glossary

What is virtual try-on in fashion?

Technology that shows how a garment, accessory or make-up would look on a person, using images, video or 3D models.

In short

Virtual try-on is technology that shows how a garment, accessory or make-up would look on a person, using images, video or 3D models. It helps shoppers and buyers visualise products before ordering, although fit and drape accuracy vary between tools.

How does it work in practice?

Virtual try-on can work on a photo, a live camera feed or a body avatar. Image-based tools use generative AI to place a garment onto a picture of a person. Camera-based tools track the face or body in real time, which works well for glasses, make-up and accessories. Avatar-based tools combine body measurements with 3D garment simulation to show proportions and drape.

In practice it is used in several ways:

  • A shopper sees a jacket on an image of themselves in an online shop.
  • A buyer views a style on a range of body shapes in a digital showroom.
  • A sales team presents a collection on diverse models without extra shoots.
  • A brand tests how a style looks in different colourways before sampling.

Why does it matter?

Fashion customers often struggle to imagine how an item will look on them, which contributes to hesitation and returns. For B2B buyers, seeing styles on varied bodies supports better assortment decisions. Virtual try-on can also reduce the need for physical samples and photography.

How does AI use it?

Generative AI has made image-based try-on much more realistic, handling folds, lighting and different poses. Computer vision estimates body shape and pose, and new models can create try-on images from standard product photos rather than requiring full 3D assets.

Common pitfalls

Accuracy of fit and drape varies, so try-on is often positioned as visual guidance rather than a size guarantee. Images that make a garment look better than reality can increase returns and erode trust. Brands also need to handle customer photos carefully under privacy rules, test results across body types and skin tones to avoid AI bias, and keep product colour and detail accurate.

Frequently asked questions

Is virtual try-on accurate for sizing?

Most tools are better at showing appearance than exact fit. Some avatar-based solutions use measurements and fabric data to estimate fit, but results should be treated as guidance alongside a size guide.

Can virtual try-on be used in B2B wholesale?

Yes. Brands can show styles on a range of body shapes in digital showrooms, helping retail buyers judge how a collection will look for their customers.

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