WAIR is a Fit Tech AI designed to be easily integrated into e-commerce sites to lower return rates and boost conversion rates. WAIR provides personalized and accurate size recommendations to give online shoppers confidence. WAIR's technology is based on the world's largest 3D body scan database of over 3.5 million scans, which means WAIR's size and fit recommendations are highly accurate.
WAIR addresses the pervasive problem of bad sizing that means returns are common and customers are dissatisfied. For 35% of shoppers, sizing is the reason they abandon their carts. More than 52% of all online apparel returns are caused by sizing issues, according to data. WAIR helps e-commerce companies by providing accurate size recommendations that in A/B testing have led to a 27.9% conversion rate and a 19.1% lower return rate.
WAIR has a number of features that make it useful for different e-commerce situations. It can recommend sizes based on the relationships between body types, personas and product wear patterns. That means shoppers get the best products for their body type, which means higher conversions and lower returns.
The company's insights are based on a detailed survey with a 90% completion rate. WAIR also offers real-time shopper insights so companies can see how well sizes match, how far sizes are extended and how to target marketing to customers with particular body types and preferences.
WAIR helps brands by giving shoppers a clear size direction, which means fewer support tickets and less time for customer service reps. Chatbots and marketing campaigns can also be integrated. WAIR's customer success team gets brands up and running in a few days with minimal work.
WAIR has more than 250 brand partners and reaches millions of shoppers. The company doesn't share pricing information, but interested companies can schedule a demo to see how the tool works and what it costs. By using WAIR's Fit Tech AI, e-commerce companies can increase profitability, improve customer satisfaction and lower the apparel industry's environmental toll.
Published on June 30, 2024
Analyzing WAIR...