The BOGOFIT engine uses a Parallel UNet-based Diffusion AI that delivers high-precision results with a tolerance of just $\pm$5px. This ensures that garment drapes and textures are represented with lifelike accuracy on the user's digital twin.
The process is optimized for speed. Depending on the model used, a stable fitting result is generated in approximately 15 to 20 seconds, allowing for a high volume of users during peak store hours.
Yes. Our API is designed for flexible integration via REST API methods and lightweight JavaScript widgets. It can be seamlessly embedded into custom-built sites or platforms like Cafe 24.
By allowing customers to "try before they buy" on their own digital twin, it eliminates fit uncertainty. Providing a realistic visual of the garment's drape and size can reduce return rates by an estimated 30% or more.
BOGOFIT V1 is our "Stable" engine, designed for comprehensive full-body fitting including both tops and bottoms. BOGOFIT V2 is a high-speed engine optimized for rapid results (approx. 15 seconds) specifically for tops and individual items.
Yes, while the core AI engine is standardized, the kiosk’s visual interface and the 32–75 inch touchscreen displays can be branded to match your store’s aesthetic. This ensures a consistent brand experience for your customers.
