Description
FitEz is an AI-powered size prediction solution for online fashion brands and retailers. It analyzes customer body dimensions and preferences and applies machine learning to recommend the best-fitting size, helping reduce size-related returns by up to 30% while improving shopper confidence and conversions.
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The tool addresses the cost of size mismatches, which the site notes can drive return rates as high as 17%, raise reverse-logistics costs, and make customers less likely to repurchase. By giving shoppers real-time, data-driven fit guidance on product pages, FitEz aims to lower costs and increase repeat purchases across men's, women's, and unisex apparel.
FitEz integrates with major e-commerce platforms including Shopify, WooCommerce, Magento, and BigCommerce, with a setup that only requires adding a few lines of code. A size recommender modal is embedded on product pages, and integration is documented in a short step-by-step guide using an API key and secret key.
Pricing is shown at $600, and the site invites retailers to schedule a demo to see FitEz in action.
- CategoryAI Shopping Assistants
- Pricing ModelPaid
- DeploymentCloud
- PlatformsWeb
FitEz's Core Features
AI size recommendation from customer body dimensions
Reduces size-related returns by up to 30%
Real-time, personalized fit guidance on product pages
Embeddable size recommender modal
Integrations with Shopify, WooCommerce, Magento, and BigCommerce
Simple setup with a few lines of code
Support for men's, women's, and unisex apparel
How to use FitEz?
Add the modal styles: Insert the provided styles into your page's head section.
Add the modal HTML: Place the size recommender trigger where you want it on the product page.
Add the JavaScript: Include the functions that handle the modal interactions.
Create the recommender page: Add a recommender form page using your API and secret keys.
Go live: Shoppers get real-time size recommendations as they browse.
FitEz's Use Cases
- Reducing returns
- Boosting conversions
- E-commerce integration
- Repeat purchase growth
