At its core, True Fit analyzes massive amounts of data to deliver a simple and highly accurate fit and size recommendation to help each consumer find their ‘True Fit’ in the styles they love. True Fit delivers confidence to consumers, turning browsers into buyers, consistently delivering 3-6X increases in conversion rates and decreases in returns for its partners.
“As a trusted third party aggregator and analyzer of fit data globally, we’re thrilled to be working cooperatively with leading retailers and over 1,000 of the best global brands to help deliver confidence to consumers, enrich the shopping experience, and unlock massive growth for brands and retailers,” said Bill Adler, CEO, True Fit.
True Fit does the heavy lifting for consumers by analyzing billions of rich data points from brands, retailers, and consumer fit profiles to identify the styles that fit each person. True Fit does not gather any personally identifiable information about consumers but rather analyzes attributes, patterns, and relationships between users and garments. And the more consumers use True Fit, the smarter it gets at fitting them.
“With machine learning solutions, the primary driver for excellent results is having massive data,” said Anand Rajaraman, big data instructor at Stanford University and former Director of Technology at Amazon. “What’s exciting about True Fit is they’ve organized this huge database of structured rich data, and have deployed a concert of proven algorithms, which is already driving enormous benefits for consumers, brands and retailers alike.“
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