Snooth Partners with Beverage Media Group

Wine recommendation engine teams up with BMG allowing users to browse the inventory of over 40 liquor stores across the US

New York, NY, July 11, 2007 --( Snooth announced that it has partnered with Beverage Media Group to provide its users with direct access to tens of thousands of wines sold by over 40 liquor stores across the US. BMG, a leading provider of web-based procurement technology to liquor stores, works with its clients to enable simple and efficient access to a large network of wine, beer and spirit distributors. By teaming up on this initiative, Snooth and Beverage Media Group can simplify the process of researching and buying wine, by enabling users to link directly from researching a wine on Snooth to the point of sale at the liquor store website.

"We are excited to partner with Beverage Media Group to bring an ever growing list of options to our users for purchasing wine. With these stores integrated there will be tens of thousands more wines available on the site" says Snooth Founder, Philip James.

"With their reviews and user generated content, Snooth has the potential to be a powerful tool for consumers to research their wine purchases. Beverage Media Group is always looking for opportunities for our retailers to participate with high quality sites where consumers make their purchasing decisions." says Ian Griffith of Beverage Media Group.

In anticipation of its full launch, Snooth will continue to add features and build its partnerships over the coming months.

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About Snooth

Snooth is revolutionizing the way people choose wine.

By combining the company's proprietary algorithms with the world’s most comprehensive wine database, Snooth is able to accurately identify the wines best-suited to an individual.

Snooth analyzes a user's unique set of interactions with the site and, using its powerful recommendation engine, leverages this digital fingerprint to generate highly-personalized wine recommendations. Snooth also interprets wine queries more naturally and optimizes the relevancy of search results, by incorporating semantic search elements into its core technology.

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Natalya Murakhver