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| ROSETTA STONE APPAREL ENGINE : The Rosetta Stone product solution by TheRightSize is a proprietary, patent-pending software engine that recommends garments to shoppers based on garments the shopper has already purchased and has identified as fitting them well. This results in a reduction of product returns, enhanced consumer satisfaction and increased supply-chain efficiencies. LEADING, INNOVATIVE AND PROVEN TECHNOLOGY : The Rosetta Stone engine uses advanced mathematical and artificial intelligence algorithms developed at MIT and Carnegie Mellon. Based on early collaborative filtering applications and by leveraging second-generation dynamic clustering principles and years of real-world experience in the commercial and defense sectors, our team is developing a third-generation engine specifically tuned for the apparel industry. Applications driven by this engine are served and maintained by TheRightSize and run on the retailer’s website using the Application Service Provider (ASP) model. The result is an integrated branded service provided by the retailer. Click here for an example of how the service might look from the perspective of the customer. Please contact info@therightsize.com for a password needed to access this demo. RECOMMENDATIONS MODULE : The Rosetta Stone product solution by TheRightSize enables retailers to make highly accurate fit (physical and emotional) recommendations to their customers. The recommendation module offers suggestions on garments that would be likely to fit the shopper. GIFT FINDER MODULE : The gift module enables friends and family to shop for garments that would be likely to emotionally and physically fit a gift recipient without having to know the recipient’s size or preferences. REPORTING MODULE : The reporting module enables retailers to receive real-time data on size information within brands, demographics and even addresses tolerance levels within specific brands. The reports can also be received as a stand-alone service, and can be invaluable for apparel brands to gauge real-time performance of their brands. |