AI-Powered Virtual Fitting Room
client
Yojji
Solution
Yojji Solution
industry
FashionTech
platform
Web
1 month
Duration
1 employee
Team
Our Starting Point
The idea for the Virtual Fitting Room emerged from our research into AI in FashionTech. Online shopping grows, but brands still have problems showing how clothes truly look on customers. That’s why we decided to create an AI tool that combines eCommerce convenience with the realism of in-store fitting. It'll make shopping more personal, engaging, and accurate.
Challenge
The main task was to find an AI model capable of realistically combining several items of clothing into a single outfit. Then, apply it to the user's photo without distortion. Most existing models handled only single garments, so we had to develop a special two-step process to form an outfit and visualize the try-on accurately. Also, we had to find answers on how to handle thousands of simultaneous AI requests without delays.
Our solution
We built a two-step AI flow to make virtual try-on simple and realistic. First, the system combines selected clothing items into one outfit preview. Then, it applies that outfit to the user’s photo through a specialized model trained for accurate fit and proportions. Everything runs on serverless Supabase functions for fast processing and easy scaling + a sleek React interface styled with Tailwind and DaisyUI.
Use cases
Enterprise Fashion and Retail Brands
For global or premium retailers, the Virtual Fitting Room enhances customer engagement and brand experience at scale. It helps reduce product return rates by up to 40% and boosts online conversion rates by 25–30% because it lets shoppers see how items truly fit. Brands can easily integrate the tool across multiple regions and product lines without heavy backend work.
Mid-Size D2C eCommerce Brands
For brands of this size, our solution brings enterprise-grade personalization without complex integrations. It makes you competitive in crowded markets, increases add-to-cart rates, and improves trust through realistic try-ons. The lightweight web setup allows fast deployment, so your teams can launch AI-powered shopping experiences in days (not months).
Marketplaces and Aggregators
For B2B2C platforms, our Virtual Fitting Room offers a white-label AI module that enhances user experience across multiple vendor catalogs. It increases shopper confidence, retention rate, and average order value thanks to realistic outfit previews. The solution’s scalable architecture ensures thousands of simultaneous try-ons with consistent performance, so it’s ideal for multi-brand ecosystems.
Results
- Reusable white-label architecture that makes the solution suitable for enterprise retailers, D2C brands, and multi-vendor marketplaces.
- Support for thousands of simultaneous try-ons, achieved through serverless architecture and on-demand scaling.
- Zero heavy backend integration required, allowing fashion brands to deploy the solution in days instead of months.
- Up to 25–30% higher conversion rates expected, based on industry benchmarks for realistic virtual try-on experiences.
- Increased add-to-cart and session engagement, as users spend more time experimenting with outfit combinations.
Technologies we used
Project team
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