Fit Analytics

Fit Analytics uses machine learning to offer size and style recommendations for apparel e-commerce sites, improving the shopping experience for consumers and the bottom line for retailers. The service personalizes the experience by combining sophisticated algorithms that match customers with the best clothing sizes based on body type, purchase history and return data.

Among Fit Analytics' features are:

• Fit Finder: An interactive apparel size advisor that offers accurate size recommendations to lower return rates and boost conversions.
• Seamless Integration: A simple integration into e-commerce sites backed by key services like engineering, product feed import and sizing and fit data.
• Machine Learning: Complex algorithms that analyze purchase and return data to offer personalized recommendations.

Fit Analytics works with many apparel brands and retailers, including ASOS, Zara and Tommy Hilfiger. The company has shown strong results for conversion and return rates for several customers. For example, Fit Finder has resulted in an average conversion rate increase of 4-6% and average return rate decrease of 2-4% with several brands. Fit Finder also accounts for 30% of purchases at the top 15 shops.

Fit Finder integration is designed to be fast and easy, ensuring a solid and scalable foundation for long-term success. Fit Analytics provides detailed support during integration, including quality assurance and thorough testing to ensure reliability and accuracy.

Fit Analytics' solutions are geared for apparel retailers looking to improve their e-commerce sites and customer satisfaction with personalized shopping experiences. By using machine learning and data analysis, Fit Analytics helps retailers reduce costly returns and boost conversions. If you'd like to learn more about how Fit Analytics can help your business, you can visit their website.

Published on June 24, 2024