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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.
Thank you for using tuck, and thanks for the kind words. We appreciate you taking the time to write them.
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.
Thanks for writing this. Keeping the cost sensible as a store grows was the hard part to get right, so it’s good to know it’s holding up on a catalog your size.
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.
Thank you. We took the longer route and built our own pipeline for this exact reason, so it’s great to hear the quality is showing on your products.
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.
Thanks a lot Belair, and thank you for sticking with us these three months. Really glad the rollout controls let you move at your own pace.
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.
Thank you for using tuck, and for taking the time to write this. It really means a lot to us.
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
Thank you for sharing real numbers, that’s genuinely useful to us. Good to see it moving the right way.
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.
Thanks so much for using tuck and for leaving a review. We really appreciate you taking the time.
The results are better than I expected honestly. The renders actually look like our clothes, not some generic AI thing. Happy so far.
Thank you. Making the renders look like your actual clothes rather than something generic is the whole job, so we’re really glad it landed that way.
