How Machine Learning Can Improve Your E-Commerce Business

Machine learning is a key way for e-commerce businesses to drive sales, meet their customer’s needs, and differentiate themselves from the competition. In this article, we explain the benefits of adopting machine learning technology.

Machine learning technology is much sought-after by apparel retailers but what is it?

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3 Ways Machine Learning can Improve User Experience in E-tail

In this article, we explain what user experience is and the three key ways machine learning can enhance user experience in apparel e-tail.

Machine learning allows companies to get to know their users in an intimate and non-evasive manner. This technology is being utilized by various industries – the healthcare system, security and of course, apparel retail.

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How to Reduce Returns

Fit Analytics has an intuitive solution that reduces the need for shoppers to deliberately over-order.

The Multi-Size Purchase Issue

Poor fit is one of the leading reasons shoppers return items they purchase online. Sizing varies across different apparel brands and even within a single retailer’s store. This has led shoppers to mistrust online sizing information and taking matters into their own hands by multi-size ordering.

In this article, we cover how to reduce returns in e-commerce by focusing on how Fit Analytics is using the power of machine learning to combat the apparel industry’s multi-size purchase problem.

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Find Your Fit with Fit Finder – An Interview with Dan Mayer, Head of Product

Fit Analytics’ Head of Product, Dan Mayer, explains how Fit Finder takes the guesswork out of finding the perfect size online.

Launched in 2013, Fit Finder was created to help find your fit. The intuitive size advisor tool is powered by the most advanced machine learning algorithms in the business and the industry’s biggest data set.

Bridging the gap between in-store and online shopping, Fit Finder provides customers with the requisite confidence needed to find the right size and fit every time, without ever stepping foot inside a store.

Fit Analytics’ Head of Product, Dan Mayer, gives a deeper insight into Fit Finder and reveals how the tool can evolve in the future.

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