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Solving product content challenges for fashion
e-commerce

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

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Get products onto online stores faster by reducing the time & cost of product information logistics.

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.

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Discover the
benefits of Catecut

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01

Built by wardrobe stylists and online retail professionals

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Informed shoppers return less product, reducing apparel returns, mitigating costs, CO2, and garment waste

02

Informs product descriptions and deep tags online store for better search and filtering

benefits

05

Inspires buyer confidence and loyalty with Cut & Fit Matching that recommends clothing to suit each shopper's body structure

03

Embeds product info automatically and directly in your online store for tailored shopping

06

Improves inventory management, trend data and cross-operational analysis

benefits

01

Built by wardrobe stylists and online retail professionals

02

Informs product descriptions and deep tags online store for better search and filtering

03

Embeds product info automatically and directly in your online store for tailored shopping

04

Informed shoppers return less product, reducing apparel returns, mitigating costs, CO2, and garment waste

05

Inspires buyer confidence and loyalty with Cut & Fit Matching that recommends clothing to suit each shopper's body structure

06

Improves inventory management, trend data and cross-operational analysis

How Cut & Fit Matching works

FOR ONLINE RETAILERS

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Efficiently integrates with your store platform

We handle implementation on our end, with your team's input, ensuring a hassle-free experience for you. Easily adaptable to the most common platforms.

Blends in with your store's branding

Catecut blends seamlessly into your store's brand and overall aesthetic.

Categorizes clothing from your product imagery

Our AI automatically tags and classifies each garment's attributes, such as cut, fit and style, directly from your product images.

Your customers look and feel their best

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When clothes don't fit quite right, shoppers lose confidence and become dissatisfied, increasing the incidence of cart abandonment, bracketing and costly returns. Catecut's cut & fit recommendations account for the buyer's body structure, matching the buyer to clothing from your online store that's likely to make them look and feel their best.

Tailor the shopping experience for each customer based on their preferences and body structure.

By improving the fit and reducing returns, you help both your business and your customers reduce costs and contribute to global fashion sustainability.
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