Fashion Brand Kate Barton Unveils AI Virtual Try-On
Fashion brand Kate Barton has launched a proprietary AI-powered virtual try-on tool on its e-commerce site. The feature aims to create a more personalized and seamless shopping experience for customers. The move reflects a broader trend in the retail and cosmetics industries to leverage AI for enhanced online customer engagement and product visualization.
- The virtual try-on experience was developed in partnership with the AI firm Fiducia and is built on IBM's technology stack, utilizing IBM Watsonx for AI model orchestration, IBM Cloud for scalable services, and IBM Cloud Object Storage for managing image data. - The system is a multilingual AI agent that uses a "Visual AI lens" to identify specific garments from Kate Barton's collection in real-time, answer questions about them, and provide photorealistic virtual try-ons that simulate fabric drape and lighting. - The AI in fashion market was valued at approximately $2.23 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 39.12% to reach an estimated $60.57 billion by 2034. - A primary driver for virtual try-on technology is reducing e-commerce returns, as issues with size and style account for up to 70% of all fashion items returned, representing a significant cost for retailers. - Designer Kate Barton, a 2024 CFDA/Vogue Fashion Fund finalist and Forbes 30 Under 30 honoree, founded her New York-based brand in 2022 and is known for incorporating avant-garde techniques and technology into her designs. - The underlying technology for virtual try-on often involves a combination of computer vision to map a user's body shape, 3D modeling to create digital garments, and augmented reality (AR) to overlay the item onto the user's image in real time. - Kate Barton's technology partner, Fiducia AI, also applies its core AI engagement platform to the sports industry, using AI-powered cameras and agents to provide real-time stats and interactive experiences for fans. - McKinsey estimates that generative AI could add between $150 billion and $275 billion to the apparel and fashion industry's profits within three to five years by enhancing product design, content creation, and virtual modeling. [cite:
