GUIDE TO MACHINE LEARNING
Machine Learning and E-Tail
As consumer behavior continues to evolve and more shoppers purchase online, innovative retailers know that various insights into their shoppers’ requirements will ensure they are able to meet the needs of their customers. This is where artificial intelligence (AI) and machine learning technology come in.
Machine Learning Algorithms
Machine learning is the fuel behind many platforms we are familiar with - Google, YouTube, Siri, and more. In fact, much of the recent progress in digital technology can be attributed to machine learning algorithms.
Modern artificial intelligence is powered by machine learning algorithms that are able to find and predict patterns within the data it’s given. These algorithms can digest vast amounts of data which could be words, clicks, and in general, any measurements that can be digitally collected.
Benefits of Machine Learning in Retail
The customer data collected by machine learning technology allows businesses to:
Make informed data-driven decisions
Create more accurate marketing plans
Enhance personalized services
Increase customer loyalty with a positive shopping experience
Improved customer relations, boosts in sales, and differentiation amongst competitors are some of the key goals apparel retailers aim for to stay ahead of the competitive curve. Machine learning (with its powerful algorithms) increases the likelihood of retailers achieving these business goals.
Fit Analytics' Machine Learning Solution
At the core of Fit Analytics’ platform lies its vast database of garment and fit information. With this data, our sophisticated platform is able to use advanced machine learning algorithms that help apparel retailers solve their customers’ size and fit problems.
Our suite of apparel e-commerce solutions attracts the world’s top apparel brands that want to solve sizing at scale and produce data-driven results.
Contact us to learn more about how our personalized size recommendations boost conversions and slash returns.
More Resources
RETAIL FIT
How to Use Fit Finder
Committed to providing an ideal shopping experience for ecommerce, Fit Analytics’ solutions combine the world’s largest database of garment, style, and fit information with billions of purchases and returns records and consumer preferences. Our innovative solutions help shoppers find the right retail size and fit without having to order multiple sizes or make inconvenient returns.
RETURNS
How to Reduce Returns
Customer returns in the e-tail apparel industry continue to be an expensive problem. Discover three efficient ways to reduce returns in online retail.
APPAREL SIZING
Retail Problems
Retail problems include the difficulty for customers to find the perfect size and fit online. Fit Analytics’ size advisor tool solves this online retail problem.