AI apparel tagging
and cut & fit matching
for online retail

Knowing that poor fit is the #1 cause of apparel returns, making up ~70% of clothing returns from online shopping, and that much of these garments end up in landfills or incinerators, we focus on stopping apparel returns before they happen, beginning with proper and deep product tagging. Our goal is to help your shoppers find their best possible cut, fit and styles from your online store inventory.

Our proprietary AI models seamlessly tag and categorize your entire apparel inventory using only product images. By automating and streamlining product tagging, our solution enhances product understanding, boosting customer confidence, reducing size bracketing, and increasing conversion rates. Each model is uniquely trained and customized for every retailer, preserving brand-specific attributes such as "Made in Iceland" or exclusive use of eco-friendly materials, ensuring a tailored and authentic shopping experience.

While browsing your store, shoppers can click the stylist, indicate elements of their body structure, attributes and challenges. From there, Catecut tailors clothing recommendations from across your online store that are best suited for each individual buyer. This inspires buyer confidence, satisfaction and loyalty, all while mitigating apparel returns. Customers return less because they love what they buy.