Industry Background
The common problem faced by e-commerce platforms is that users are unable to visualize the effect of clothing on the body, resulting in a high return rate. Virtual try-on technology can effectively improve this situation.
integrated solution
E-commerce application scheme based on 1-2-1-MNVTON:
- seamless integration: Embedding virtual try-on modules into product detail pages via APIs
- Multi-scene support: Processes both model images and real photos uploaded by users
- User Experience Optimization: Generate high-definition fitting results within 3 seconds
Implementation steps
- Deploying projects to cloud servers or local compute clusters
- Developed front-end interface to interface with camera and image upload functionality
- Configure the mapping of product images to 3D clothing models
- Automatically adapts to different body types and postures with MNVTON technology
Effectiveness enhancement
The actual application data shows that it can reduce the return rate of 30%, and at the same time improve the page dwell time up to 2 minutes or more, significantly improving the conversion rate.
This answer comes from the article1-2-1-MNVTON: Efficient images, virtual trying on of clothes by people in videos (to be opened)The
May not be reproduced without permission:AI productivity tools " How to apply MNVTON technology in e-commerce platforms to enhance users' virtual try-on experience?
