Improve Retail User Experience with AI

Over the past few years, technological innovations in AI such as deep machine learning have been adopted across several industries, including the apparel and footwear sector. AI can be used to personalize the shopping experience for customers and improve the interaction they have with the product.

A study conducted by Global Market Insight reported that the retail sector is likely to increase its investment in AI to $8 billion by 2024. Online publishing network - Retail TouchPoints (RTP) - concluded, “since adoption of machine learning, deep learning, and predictive analytics is required to succeed within the technological hemisphere in retail – which is growing at a rapid pace – it is absolutely necessary for retailers to adjust within the digital disruption.”

At Fit Analytics, our AI-based size platform is powered by machine learning and designed to better serve online shoppers by offering them a positive user experience.

Relationship Between User Experience and Shoppers

Smart retailers know that providing a positive user experience involves meeting and satisfying their shoppers’ needs. Therefore, retailers are keen on finding new ways to learn more about their audience’s interests.

To gain that knowledge, companies are integrating AI and machine learning into their business models to give their customers a better, more seamless user experience, which ultimately drives business.

In an increasingly competitive e-commerce landscape, more apparel companies are turning to AI and machine learning solutions to provide a personalized user experience for their customers.

One of the ways apparel companies utilize technology to improve their user experience is to use machine learning-powered algorithms to recommend the perfect fit for their shoppers.

How Machine Learning Can Drive User Experience

An estimated 91% of customers are more likely to buy an item from a company that remembers them and offers them relevant and timely recommendations. This is why more retailers are using algorithms and data science that match people with items that are the perfect fit. This creates a retail environment that’s more 'context-aware’ and as a result, the shopper gets the personal experience they desire.

Fit Finder is both able to make recommendations based on past data shoppers have provided.

Fit Finder

Fit Finder uses machine learning algorithms and the industry’s largest database to recommend the right size for apparel and footwear shoppers. The intuitive size advisor tool has certain customer-oriented features that are focused on giving the shopper a positive user experience.

Contact us to learn more about how our personalized size recommendations boost conversions and slash returns.