Automated product descriptions, tagging,
and cut & fit matching
for online apparel retail

Our proprietary AI models seamlessly tag and categorize your entire apparel inventory information by analyzing, identifying, and categorizing your apparel inventory from your product images.

By automating and streamlining product information and tagging, our solution enhances product understanding, boosting shopper confidence, reducing size bracketing, and increasing completed purchases.

Our AI models adapt and train to every retailer, with the ability to additionally 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 cut & fit matching solution, 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.

Knowing that poor product information and poor fit lead to 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 product information and deep product tagging.

Our goal is to help your shoppers find their best possible cut, fit and styles from your online store inventory as easily as possible.