If you want to improve the shopping experience on your e-commerce site by offering customers the right size and cutting down on returns, WAIR stands out. This Fit Tech AI, trained on a database of more than 3.5 million 3D body scans, offers customers personalized and accurate size recommendations. It also offers real-time shopper insights and targeted marketing campaigns that can be integrated with chatbots and other marketing efforts. WAIR has demonstrated a notable improvement, with a 27.9% conversion rate and 19.1% lower return rate in A/B testing, so it can help retailers improve customer satisfaction and profitability.
Another good option is Fit Analytics, which uses machine learning technology to offer customers size advice based on their body measurements and purchase history. Its Fit Finder tool ensures that the correct size is ordered the first time, which means less returns. Backed by several big-name brands like ASOS and Zara, Fit Analytics has been shown to increase conversion rates by 4-6% and decrease return rates by 2-4%, so it's a good option for e-commerce sites and customer satisfaction.
For a more comprehensive solution, Usizy offers a suite of tools, including accurate size recommendations, stock optimization and dynamic pricing. Its Size Adviser tool ensures that each customer receives the correct size, reducing returns and increasing customer satisfaction. With a proven track record on more than 500 eCommerce platforms, Usizy can help retailers increase conversions and customer loyalty, making it a good option for retailers looking to optimize their operations.
Measmerize is another good option that combines consumer preferences, product information and machine learning to offer customers personalized size recommendations. It simulates the in-store dressing room experience by offering immediate feedback on fit, ensuring accuracy through a combination of garment measurements and proprietary algorithms. Measmerize is designed to be easily integrated into e-commerce sites and aims to eliminate fit problems, reduce return rates and improve sustainability.