Tuck AI Virtual Try On & Size

We came to Tuck after trying a few other try-on apps on Shopify. We gave it a shot because it had the best pricing we have seen for a virtual try-on app, and we wanted to see how the results held up. It just works perfectly. Tuck has given us consistently better results than any other try-on tool we’ve used so far.

I was new to try-on apps. Customers had started asking for virtual try-on, so I wanted to test it. I installed Tuck on one category first to see how it performed, and customers have responded really well, with no complaints so far. I’ll definitely expand it to my full collection for our next major sale.

We installed Tuck to test a simple hypothesis: that try-ons ultimately increase sales. We are keen to see how many try-ons turn into purchases, and compared with what I spend on Google and Meta ads, it’s worth it either way. If the numbers hold up, I’ll expand it and move part of my marketing budget to it.

We’d tried a few virtual try-on apps before, and our biggest concern was always data privacy: how is customer data actually handled? With Tuck, the team gave us a clear picture of the structure they’ve put in place, so we knew exactly what we were signing up for. The no-third-party-data-transfer policy is what stood out most.

f you have a large product catalog, this is realistically the only scalable VTON on Shopify.
Other apps completely wreck your margins the second your store traffic starts to go up.
Tuck’s pricing model actually makes total financial sense for a growing clothing business.
The performance holds up perfectly even when processing a massive number of product images.

We tested a few VTON apps and realized most are just cheap AI wrappers (of nano banana).
Those generic apps end up being priced at double what they are actually worth.
Tuck is completely different because it is obvious they built their own custom pipeline.
You get much better rendering quality without the weird distortions or the ridiculous markup.

Don't waste your time with basic wrapper apps; choose a purpose-built VTON like Tuck that actually gives you proper rollout controls. Their backend system let us manage the implementation flawlessly, which practically eliminated the weird, glitchy results you get with other AI tools.

Tried two other try-on apps and compared quite a few more—Tuck’s scalable pricing is what won us over. It lets shoppers see how the clothes look on them. The size suggestions based on customer details and our size chart are a useful bonus.

Installed recently and happy with the outcome. Conversion on the collection we enabled has moved from around 1.8% to just
over 2.2% — small sample so far but the direction is clear

What convinced me to install was the team’s point about customer confidence, that ‘will this look good on me?’ moment while browsing. In a physical store, shoppers try on several items and take one home. Online, that problem was never really solved, so customers order multiple items and keep only one. Virtual try-on finally addresses it, giving shoppers confidence in the look before checkout. I’m looking forward to seeing the results in the numbers.