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| November 17th, 2009 by Jessica Tsai |  |
The harder retailers work to get us to buy on their products, it seems, the lazier we can be.
Who needs to go into the store now that product recommendation engine RichRelevance and interactive marketing firm, and member of the Augmented Reality (AR) Consortium, Zugara just unveiled Fashionista, a solution that allows shoppers to try on items using a computer and Webcam.
I met with RichRelevance’s CEO David Selinger when he came down to our offices last week and I was seriously impressed by the solution. Sure, there were a few bugs to work out around oversensitivity and stuff like that, and when I tried out the solution, the size of the sleeveless dress didn’t quite “fit,” making it seem more like I was a plus-sized paper doll and all that was left were petites. Anyway, Selinger assured me the various bugs would be addressed. The product just launched yesterday with its first customer online retailer Tobi.com.
As stated in the company press release, here’s a brief description of how Fashionista works:
Fashionista creates a totally individualized and engaging customer experience from three core components of emerging media, technology, and eCommerce:
Augmented reality combines real-world and computer-generated data where computer graphics or objects are blended into real-time footage.
Motion capture recognizes and records an individual’s movements and integrates them into an on-screen model. Hand motions enable the user to virtually navigate backward or forward on screen to select clothing, indicate preference, and take a photo.
Personalized clothing recommendations deliver a highly engaging and individualized shopping experience based on the current shopper’s session as well as “wisdom of the crowds.” Recommendations are displayed and updated based on immediate user feedback on preference.
Here are a few screenshots of the solution:
Or, watch the video on how to use the solution here.
The product is available on RichRelevance’s enRich personalization platform. Learn more about the product on RichRelevance’s site here.
Fashionista creates a totally individualized and engaging customer experience from three core components of emerging media, technology, and eCommerce:
- Augmented Reality combines real-world and computer-generated data where computer graphics or objects are blended into real-time footage. With Fashionista, images of clothing are merged with live video of the shopper.
- Motion Capture recognizes and records an individual’s movements and integrates them into an on-screen model. With Fashionista, hand motions enable the user to virtually navigate backward or forward on screen to select clothing, indicate preference, and take a photo.
Personalized Clothing Recommendations deliver a highly engaging and individualized shopping experience based on the current shopper’s session as well as “wisdom of the crowds.” With Fashionista, a stream of recommendations that leverages multiple recommendation types is displayed and updated based on immediate user feedback on preference.
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