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Writer's pictureDavid Connolly

The Future Of Rare Whiskey Trading



BAXUS is a global marketplace for the world’s most collectible spirits, providing pricing data, vaulting solutions, and access for everyone.


The last several years have seen an explosion of individuals and funds diving headlong into the world of spirits investing. Driven by the hyper explosion of the whiskey market, where bottles of Scotch, Bourbon, and Japanese Whisky continually set new sales records, investors are actively searching out the next hot bottle. This has led to numerous stories of individuals uncovering hidden gems or getting burned by counterfeits and fake investment platforms. It's an exciting world many connoisseurs want into but don't know how to enter safely.


BAXUS seeks to bring order to a chaotic environment as the first peer-to-peer Marketplace for buying, selling, trading, and storing valuable spirits and wine. Providing pricing data, vaulting solutions, and access for everyone, BAXUS is the brainchild of Tzvi Wiesel, a seasoned whisky investor and trader who launched his own whisky fund while studying computer and database learning at Columbia University. He teamed up with Carrie Carrington Kellar, a former New York Times machine learning team member.


Incorporating blockchain technology, AI learning, and data analysis, BAXUS provides its users with the most up-to-date pricing analysis. It all starts when a bottle arrives at their warehouse in New Jersey, where every bottle they deal with is stored in a climate-controlled environment. Each bottle is authenticated, 360-degree scanned, tagged with its own RFID label, and has its own unique non-fungible token (NFT) created. Then, that NFT is entered into the seller's digital portfolio, with each bottle having its own page detailing a wraparound view of the bottle along with its history and pricing data. It’s up to each owner to decide when they want to list a bottle as active on the market side of the platform.


Read the full story on Forbes: https://www.forbes.com/sites/hudsonli...





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