Virton is an AI-powered virtual try-on tool that revolutionizes online shopping by allowing users to try on clothes from the comfort of their homes. Users can select their favorite items and upload a full-length photo to see how the clothes fit without needing to visit a store or wait for delivery. The tool continuously improves its accuracy by training on new data from connected online stores.
Major Highlights
- AI-Based Fitting: Virton uses AI to simulate realistic garment visuals, ensuring accurate fittings.
- User-Friendly Interface: Users can easily upload photos and try on clothes virtually.
- Continuous Improvement: The algorithm updates across all client stores to enhance accuracy and speed.
- Integration Options: Offers unlimited embedding of widgets for websites and personalized White-Label applications.
- Cost Savings: Helps create new product cards without the need for photo shoots and studio rentals.
- E-commerce Support: Supports hybrid work between humans and AI in online commerce.
- Pilot Projects: Already launching with local clothing brands, with a growing user base.
- Free Trials: Available for online stores to test the tool.
- Technical Infrastructure: Utilizes PyTorch, transformers, and NVidia Cuda-based servers for efficient processing.
- Data Training: Trained on large databases like DeepFashion for enhanced realism.
Use Cases
- Online Clothing Stores: Enhance customer experience by offering virtual try-ons.
- Fashion Brands: Reduce operational costs by minimizing the need for physical photo shoots.
- E-commerce Platforms: Integrate Virton to increase conversions and customer satisfaction.
- Personalized Shopping: Allow users to see how clothes fit without the hassle of returns.
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