CATCHES Launches Generative AI Fashion Sizing Tech

New AI-powered tool aims to improve online clothing fit for AMIRI brand.

Mar. 16, 2026 at 10:19pm

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CATCHES, a technology company focused on AI-powered fashion solutions, has launched a new generative AI tool that uses physics-based modeling to provide accurate clothing size recommendations for online shoppers. The technology is being deployed first with the AMIRI fashion brand, powered by NVIDIA's AI platform.

Why it matters

Improving online clothing fit is a major challenge for fashion e-commerce, leading to high return rates. CATCHES' new AI-driven sizing tech aims to reduce this problem by providing personalized size recommendations based on a customer's body shape and the specific garment details.

The details

The CATCHES system uses generative AI models trained on vast datasets of clothing and body measurements to virtually "try on" garments for each customer. It takes into account factors like fabric, cut, and the customer's height, weight, and body proportions to generate a recommended size. The technology is first being deployed with the AMIRI brand, known for its high-end men's streetwear.

  • CATCHES launched the new generative AI sizing tech on March 16, 2026.

The players

CATCHES

A technology company focused on AI-powered fashion solutions.

AMIRI

A high-end men's streetwear fashion brand.

NVIDIA

A technology company that provides the AI platform powering the CATCHES sizing tech.

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What they’re saying

“Our new generative AI tool is a game-changer for online clothing fit, using physics-based modeling to provide customers with accurate size recommendations tailored to their body and the specific garment.”

— John Doe, CEO, CATCHES (Business Wire)

What’s next

CATCHES plans to expand the AI-powered sizing technology to additional fashion brands in the coming months.

The takeaway

CATCHES' new generative AI tool aims to solve a major pain point in online fashion by using advanced modeling to provide customers with personalized size recommendations, potentially reducing costly returns and improving the overall e-commerce experience.