We use crowdsourced fashion data and advanced algorithms to ensure high accuracy of size predictions for your customers.
OverviewBack to top
Size Advice from EasySize helps your users find the right size on apparel and shoes in a simple 2 step process. In this process we ask the user to select a brand and size, of for example a t-shirt they already own. Based on the user input our machine learning algorithms will calculate and recommend a size.
When you install Size Advice, a button appears on your desired location on the product page (usually next to the size drop-down), which leads to the previously mentioned widget. The widget asks your users about the brand/size of the item they already own and based on that recommends them the size they should buy.
Size Advice takes a unique approach to solving the sizing problem. We don't use size charts, rely on customer measurements, or measure the products.
We analyze massive amounts of data to find fashion doubles and suggest the right sizes to shoppers. Fashion doubles are shoppers who exhibit similar preferences in their choice of fit, style, brand, and collection.
The Magento extension for Easysize is FREE, however additional fees apply for the service. Simply contact us on email@example.com and we will create an account for you.
Increase conversation, decrease returns
Our A/B tests find a whopping 52% decrease in returns while using Size Advice. We’ve seen increases in conversion, sales, and average order value.We think that’s pretty awesome, and so do our customers!
Out of stock product recommendations
With Size Advice Out of stock recommendations, you’re showing products in stock that are available in the recommended size to the user.
Automatic size recommendation for returning users
A size recommendation is automatically generated based on previous purchases for you returning and logged in users.
Your Dashboard lets you keep the control you need. You’ll get actionable analytics and insights.
Optimized for mobile
Size advice is built with the mobile experience in mind. We’ve optimized for small screens to make sure your customers get the best experience no matter what device they’re on.
Our public documentation: https://github.com/EasySize/EasySize-integration/wiki
Data requirements https://github.com/EasySize/EasySize-integration/wiki/Data-requirements
Live demo https://www.easysize.me/demo
Release NotesBack to top
- Compatible with CE: 1.3 1.4 220.127.116.11 1.4.2 1.5 1.6 1.6.1 18.104.22.168 1.7 1.8 1.8.1 1.9 1.9.1 1.9.2 1.9.3
- Stability: Stable Build
Easysize library is now loaded on every page in order to benefit from behavioural tracking