If you're looking for a tool to help you find the right size when shopping online and cut down on returns, WAIR could be a good fit. WAIR is a Fit Tech AI that's designed to give online shoppers personalized and accurate size recommendations. With a 3D body scan database of more than 3.5 million scans, WAIR's technology is very accurate at suggesting sizes and fit. The platform tackles the issue of bad sizing, which affects 35% of consumers and accounts for 52% of online clothing returns. It offers size advice based on body types, personas, product wear patterns, real-time shopper insights and targeted marketing.
Another good option is Usizy, a full-stack machine learning platform that offers size advice to help cut down on returns and boost customer satisfaction. Usizy's Size Adviser tool offers machine learning-based size advice for each customer, and its Smart Stock feature analyzes stockouts and predicts future demand. The platform also offers Smart Pricing for dynamic pricing and Smart Logistics for optimizing logistics by identifying high-return products. Usizy has been tested on more than 500 eCommerce platforms, and results show a significant increase in conversions and customer loyalty.
For a more personalized approach, Fit Analytics offers size and style advice to apparel e-commerce sites. Its Fit Finder feature offers personalized size advice based on a customer's body measurements, purchase history and return data. The system can be integrated into e-commerce sites, and retailers have reported improvements in conversion and return rates. Fit Analytics counts ASOS, Zara and Tommy Hilfiger among its customers, so it's a tested option for boosting customer satisfaction and cutting returns.
Measmerize also offers personalized size advice based on a customer's body type and the specific product they're looking at. By combining garment measurements with machine learning algorithms, Measmerize offers accurate advice and can be integrated into e-commerce sites. The tool is designed to eliminate fit problems and reduce returns, which means better environmental sustainability.