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Boost sales & cut returns with AI virtual try-on. Let customers see products on themselves instantly
Nivera addresses high return rates and low conversions in online fashion by offering accurate AI virtual try-on. Customers upload a single photo to visualize clothing on themselves instantly, reducing fit uncertainty before buying. This leads to more confident purchases and fewer returns. The app requires no coding and installs with one click. Merchants can also upload custom model reference images for specific products and track revenue generated by the feature through a dedicated dashboard.
- AI Virtual Try-On: Customers visualize outfits on their own single photo.
- Custom Model Images: Upload specific reference images for accurate product resul
- Revenue Analytics: Track sales and conversions from the virtual try-on feature.
- One-Click Install: Instantly integrate with your store; no coding required.
Languages
English
Categories
Visualization
Customization
Reviews (2)
- 100% of ratings are 5 stars
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0% of ratings are 4 stars
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0% of ratings are 3 stars
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0% of ratings are 2 stars
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0% of ratings are 1 stars
This is a really good app for the customer journey on the website as they can visualize the product they intend to buy. The output is really accurate and is intuitive to use. The setup is smooth & the support team is really helpful. Through & through very nice.
Nivera AI - Virtual Try-On has been a great addition to our store. The team was super helpful during the setup process, making sure everything ran smoothly. The try-on feature is surprisingly accurate, and our customers love being able to see how the outfits look on them before making a purchase. It’s definitely improved engagement and made online shopping more interactive for our shoppers. Would highly recommend it to any fashion store looking to enhance the customer experience!
Support
App support provided by Nivera AI .
Data access
This app needs access to the following data to work on your store. Learn why in the developer's privacy policy .
View staff and contributor data:
Store owner
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Store owner
Name, email address, phone number, physical address
View and edit store data:
Products
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Edit products
Products, collections
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