If you want the best size recommendations to reduce returns and increase customer satisfaction on your e-commerce site, WAIR is a great choice. This Fit Tech AI uses a 3D body scan database of more than 3.5 million scans to give customers personalized size recommendations. It also offers size recommendations based on body types, personas, and product wear patterns, and can be integrated with chatbots and marketing campaigns. WAIR has been shown to reduce return rates by 19.1% and increase conversion rates by 27.9%, so it's a good choice if you want to improve profitability and customer satisfaction.
Another powerful option is Fit Analytics, which uses machine learning to give customers size and style advice. Its Fit Finder feature gives customers personalized size recommendations based on their body measurements, purchase history and return data. This means customers are more likely to get the right size the first time, reducing returns. Fit Analytics can be integrated with e-commerce sites and has helped customers like ASOS, Zara and Tommy Hilfiger improve conversion and return rates.
If you want something more streamlined, take a look at FindMine. This AI-powered content engine helps fashion, home and beauty brands with outfitting solutions, automatic product recommendations and themed landing pages. It can be integrated with existing personalization programs and has been shown to increase revenue per visitor and customer satisfaction. Adidas and Perry Ellis have seen revenue and customer loyalty increase after using FindMine.
Last, Stylitics offers AI-powered solutions for modern retail, including personalized product recommendations and outfit combinations. Its features like Recommended for Me and Bundled Product Carousels can help improve the shopping experience, leading to click-through rates and conversions. Top retailers trust Stylitics to provide a personalized experience with seamless integration, resulting in significant increases in average order value and customer loyalty.