What is Avumi?
Avumi is a fashion tech platform designed to provide a digital garment try-on experience for online shoppers. It extends its functionality to fashion brands' websites, allowing customers to virtually and accurately try on clothes before making a purchase. In addition to its core virtual try-on feature, Avumi offers additional services such as fabric digitisation which can potentially enhance the virtual experience. While it's primary aim is to improve customer shopping experiences by providing a realistic virtual representation of products, it also indirectly assists e-commerce businesses by helping to reduce return rates caused by sizing issues. Customers can access this tool via brands' websites, or view a live demo on Avumi's website for a practical illustration of its capabilities.
Pros
- Digital try-on feature
- Fabric digitisation service
- Reduces return rates
- Available on brands' websites
- Enhanced shopping experience
- Realistic product representation
- Indirect e-commerce assistance
- Immediate try-on capabilities
- Potential virtual experience enhancement
- Size fitting accuracy
- Offers live demo
- 3D fashion visualization
- Partners login feature
- Integrated with ecommerce platforms
- Request demo feature
- Easily accessible contact information
Cons
- No mobile app
- Requires third-party website access
- Dependent on accurate digitisation
- No offline mode
- May lag on low-bandwidth connections
- Doesn't support all fabric types
- No user accounts
- Limited to participating brands
- No individual measurements saved
- Only available in English
Avumi FAQ
What is Avumi and how does it work?
Avumi is a fashion technology platform, offering a virtual garment try-on experience for online shoppers. It allows customers to virtually and accurately try on clothes on fashion brands' websites, before making a purchase. It works by digitizing the fabrics and converting them into 3D models that can be tried on by the customers virtually.
How can Avumi help reduce return rates for e-commerce businesses?
Avumi indirectly helps to reduce return rates for e-commerce businesses by providing a realistic virtual representation of the products. By allowing customers to try on clothes virtually and accurately before buying, it reduces the chance for sizing errors, hence lowering return rates due to ill-fitting clothes.
What are the key features of Avumi?
The key features of Avumi include a virtual try-on tool, which allows customers to virtually and accurately try on clothes, and fabric digitization, an additional service which enhances the virtual experience by creating a realistic digital representation of the fabric. This AI-powered virtual try-on feature improves the online shopping experience and helps to reduce return rates.
Can I see a live demo of Avumi?
Yes, a live demo of Avumi can be viewed on their website. It allows the users to experience its capabilities practically.
How can Avumi enhance my online shopping experience?
Avumi enhances your online shopping experience by allowing you to virtually and accurately try on clothes before buying. It provides a realistic virtual representation of the products, thanks to fabric digitization, making your shopping experience more accurate and satisfying.
How does Avumi's virtual try-on feature work?
Avumi's virtual try-on feature works by creating a digital representation of clothing items. This 3D virtual model can be tried on by the customers on their virtual selves, which gives them an accurate idea of how the item will look and fit on them.
How accurate is the sizing in Avumi's digital try-on tool?
The sizing in Avumi's digital try-on tool is precise. The tool is designed to accurately digitise the clothing size and fit, thus providing the customers with a realistic and true-to-size virtual try-on experience.
Can I access Avumi via any brand's website?
Yes, Avumi can be accessed via any fashion brand's website that has integrated it into their platform. It extends its functionality to these websites, offering an immersive shopping experience for customers.
