Aiuta offers a virtual try-on solution for apparel and fashion businesses, utilizing proprietary technology that allows customers to upload their photos for an accurate fitting experience. This technology significantly reduces online return rates and increases average order value by providing personalized recommendations and enhancing customer engagement.
Funding
Funding not disclosed
Founders
Product
Problem
Online apparel shopping suffers from high return rates due to inaccurate fit and style expectations, leading to increased costs for retailers and frustration for customers. Traditional methods of visualizing clothing on different body types are limited, making it difficult for shoppers to assess how an item will look on them personally.
Solution
Aiuta offers a virtual try-on solution powered by FashionGPT, enabling apparel and fashion businesses to provide customers with a personalized fitting experience. Customers upload their photos, and Aiuta's technology generates images of the selected clothing on the user, allowing them to visualize fit and style. This technology aims to reduce online return rates by improving style and satisfaction, while also boosting average order value through personalized recommendations and upselling. The solution can be integrated via widget, API, or SDK.
Target Audience
The primary target audience is apparel and fashion businesses looking to reduce online return rates, increase average order value, and improve customer engagement.
Features
- Virtual try-on powered by FashionGPT for accurate and personalized fitting visualization
- Personalized recommendations and styling options to enhance customer engagement
- Integration options: widget, API, and SDK for seamless implementation
- Automated and personalized style variations to decrease content creation costs
- Compatibility with Shopify stores