Online clothes shopping tool Fits.me has expanded its virtual fitting room with its Fit Advisor size recommendation engine.
The new version of the Fits.me Virtual Fitting Room lets retailers and brands offer a way for shoppers to ensure they buy the right size when buying online.
Fit Advisor uses a shopper’s measurements to generate and display intuitive graphical indicators showing how an item will fit, but – unlike the Fits.me Virtual Fitting Room – does not display a photograph of the item to show how it will fit.
In addition to shopper measurement information, Fit Advisor harnesses the selections of hundreds of thousands of anonymous shoppers who have used a Fits.me Virtual Fitting Room to indicate fit preferences for their body size and shape.
Heikki Haldre, founder and chief executive of Fits.me, said: “Fits.me’s greatest strength – its precision and accuracy – comes from its creation and development in the world of academia. The new version of the Fits.me Virtual Fitting Room and Fit Advisor add a layer of wonderful, stylish design to the fitting room experience, which meets or exceeds the expectations of even the hardest-to-please e-commerce director.”
“More than one e-commerce director to whom we have shown the new virtual fitting room has wondered out loud, and only half-jokingly, whether the photographs we take for our database could replace their existing product photography,” he added.
The branding and appearance of both the Fits.me Virtual Fitting Room and Fit Advisor can be customised to reflect the style, tone of voice and other brand guidelines of any retailer or clothing brand.
Fits.me’s roster of clients includes Adidas, Barbour By Mail, Boden, Ermenegildo Zegna, Hawes & Curtis, Hugo Boss, LK Bennett, Nicole Farhi, Otto, Pretty Green, Superdry, and Thomas Pink.
Data from online clothing retailers using Fits.me virtual fitting room solutions demonstrate that retailers can achieve reduction in returns due to customers buying an incorrect size of up to 77%. Data also show that improvements in conversion rates of up to 62% compared to shoppers using a traditional size chart have been achieved, improving at a stroke the performance of online clothing retail sites by helping to overcome the problem of ‘buyer hesitation’.
See http://demo.fits.me for an online demo.
