StyleScan provides AI-powered merchandising visualization software that enables fashion brands to create high-quality product images on diverse models in minutes. This technology significantly reduces costs by up to 98% and accelerates speed-to-market by 168 times, while promoting sustainability through minimized garment waste.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Fashion brands face challenges in creating high-quality product images on diverse models, leading to high costs, slow time-to-market, and significant garment waste due to traditional photography processes. This results in inefficiencies and limits the ability to offer personalized shopping experiences.
Solution
StyleScan offers an AI-powered merchandising visualization software that enables fashion brands to generate photorealistic product images on various models in minutes. The platform uses advanced AI algorithms to digitally dress models with apparel, accessories, jewelry, and footwear from both 2D and 3D product images. This technology significantly reduces costs associated with traditional photoshoots, accelerates speed-to-market, and minimizes garment waste, promoting sustainability. Brands can create visually appealing content remotely, maintaining full control over their visual identity and engaging consumers with personalized shopping experiences.
Target Audience
StyleScan primarily targets fashion brands and retailers of all sizes seeking to reduce costs, accelerate time-to-market, and enhance their e-commerce visuals with AI-driven solutions.
Features
- AI-powered on-model image generation using 500+ real model photos or custom model uploads
- Digital rendering of garments in 3D with 360-degree views on mannequins and diverse models
- Compatibility with both 2D and 3D images of apparel, accessories, jewelry, and footwear
- Virtual try-on feature allowing consumers to visualize garments on themselves via selfies
- Integration with PLM and other web-based platforms via seamless add-on
- Machine learning algorithms for hyper-realistic fitting from multiple angles