Can Fashion Marketplaces Offer Try-On Across Many Sellers?

Yes, a fashion marketplace can offer try-on across many sellers, but the hard part is not the try-on itself. It is the mixed product photos, the different size charts and the question of who pays for each render.

If you run a single store, a virtual fitting room for a clothing website is simple. A marketplace adds layers. This article lists what to decide first.

What is different about a marketplace?

A normal store controls its photos, its size chart and its brand. A marketplace controls the template, and sellers control everything else.

That creates four problems:

• Photo quality varies. Try-on needs a clear product image, and each seller shoots differently.
• Sizes vary. Two sellers can label the same body "M" and mean different things.
• Garment types are inconsistent. Sellers may tag a jumpsuit as a dress, or skip tags entirely.
• Costs need an owner. Someone has to carry the cost of each render.

How does ZeDaq.ai fit a marketplace?

ZeDaq.ai offers AI virtual try-on: the shopper uploads one photo and sees the real garment on their body. For a marketplace, there are two routes.

• The script-tag widget for custom sites, which adds "Try it on" and "Find my size". The key must be locked to your domain.
• The REST API (POST /api/v1/tryon with an x-api-key header), which lets your developers build their own interface. See the API reference.

ZeDaq.ai does not list multi-seller features, such as seller-level accounts, per-seller billing or revenue sharing. Treat those as things to confirm with the team before you build around them.

How should you handle seller size charts?

This is the biggest issue. ZeDaq.ai matches a shopper's measurements to a size chart, with one chart per garment type: tops, outerwear, dresses and bottoms. Merchants enter their own size guide in the dashboard, and a generic UK, US, EU or AU chart is the fallback.

On a marketplace, you have three choices:

1. Use the generic chart. Simple, but it won't match each seller's labels.
2. Collect one chart per seller. Better for accuracy, but you need a way to gather and check charts.
3. Offer try-on only for sellers who supply a chart. This keeps quality up and gives sellers a reason to provide good data.

Option 3 is a common starting point because it limits the work to sellers who care about fit.

What should sellers provide?

Write a short requirements list for sellers:

• A clear front-facing product photo on a plain or simple background.
• The correct garment type for each listing.
• Body measurements in their size chart, not flat garment widths.
• Honest fit notes, such as "runs small".

Enforce the list when sellers upload. It is much easier than fixing bad renders later.

Who pays for the renders?

Decide this before launch. Each try-on render counts against a plan allowance, so a marketplace with many shoppers can use it up quickly.

Common models, which you would need to set up yourself:

• The marketplace absorbs the cost as a shopper feature.
• The marketplace passes a cost to participating sellers.
• Try-on is limited to featured or paying sellers.

For current allowances, check ZeDaq.ai pricing. The Free plan includes 3 try-ons a month, which is enough to test but not to run a marketplace.

What should the shopper see on a marketplace?

Shoppers on a marketplace buy from sellers they don't know. Clear labeling builds trust and sets expectations.

Consider these touches:

• Show the try-on button only on listings that support it, so the button never leads to a poor result.
• Make clear which size chart a recommendation uses, such as the seller's own or a generic one.
• Keep the shopper's flow short: upload a photo, enter height, see the result.
• Explain that the result is a guide to fit, and link to the seller's returns policy.

Because ZeDaq.ai analyzes the photo for sizing in the shopper's browser and sends only measurements, your privacy notice should say what is sent when a shopper runs a try-on. Your legal team should write that notice.

How do you roll it out?

Start small and learn from real listings.

1. Pick a few sellers with good photos and clear size charts.
2. Enable try-on for one garment type first, such as dresses.
3. Test on phones with your own photos.
4. Review which listings give poor results and fix the photo or tags.
5. Open to more sellers with a clear checklist.

Menswear and sustainable brands often have specific needs, so see whether menswear brands should offer virtual try-on and the same question for sustainable fashion brands.

If an agency builds your marketplace, how web agencies offer virtual try-on to fashion clients explains the delivery side.

FAQs

Can one widget key cover every seller on my marketplace?

The widget key is locked to a domain. If all your sellers' pages are on that domain, one key can run on them. Confirm your exact setup with ZeDaq.ai first.

Do sellers need to install anything?

Not for the widget or API route. You add it once to your product page template. A Shopify app also exists, but it is for individual Shopify stores.

What if a seller has no size chart?

Shoppers get a size from the generic UK, US, EU or AU chart. You can also choose to hide size recommendations for that listing.

Is a marketplace a good first project?

Usually a single store is easier. Start with a pilot group of sellers rather than the whole catalog.