Our e-book shares key purchasing and returns trends amidst the backdrop of COVID-19 and advises on how retailers can dominate their market share this 2020 holiday retail season.
The apparel retail industry was one of the many sectors that bore the devastating brunt of COVID-19. The impact of the pandemic on the retail sector caused problems like store closures, loss of jobs, a decrease in footfall, and the inability to clear seasonal stock.
But it’s not all doom and gloom, since the first wave of the pandemic and as the months have gone by – surveys have shown that consumer behavior has shifted to purchasing items online. This means that retailers who are able to make the requisite changes and innovations that follow and meet the needs of their consumers will be rewarded.
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The detrimental impact of COVID on British High Street retailers so far.
The first wave of COVID shook a lot of British high street stores and rattled them hard. Cath Kidston was one of the many U.K. retailers that had to close its doors and focus on its online platform.
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Looking for ways to improve your retail sales? Adopting our size advisor tool, Fit Finder, has been proven to convert browsers to buyers.
Apparel retailers are always looking for new ways to increase sales in retail without losing out on profit. In this article, we share some key tips on ways to drive revenue while protecting your margin.
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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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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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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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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.
Continue reading “Find Your Fit with Fit Finder – An Interview with Dan Mayer, Head of Product”