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AI,Concept, Prototype, TerminalApp




This Wine Vault assistant will recommend wine pairings based on food and guest preferences, providing extensive information about the wine and its winery. It aims to bridge the gap between traditional wine culture and digital technology, catering to both enthusiasts and industry professionals. The challenge posed is how to streamline data collection in an industry resistant to technology, proposing integration of online data fetching with citations for accuracy. This approach promises to expedite processes for restaurant management and make wine knowledge more accessible beyond traditional barriers of class status.




So the question I pose is: How do you streamline data collection in an industry where people are very resistant to technology? For the purpose of this app I want to integrate online data fetch in order to provide factual information with citations. Having information directly pulled from a website and having a citation could expedite so much for the back end process of restaurant particularity for the manager. And lets not forget the accessibility of this tool for anyone who is not in the “industry” — the experience of fine dining is usually gate kept to a specific class status, and having an app that makes this knowledge available with no restrains will really open a space for anyone to become aware their own wine preferences



  How do you streamline data collection in an industry where people are very resistant to technology?








This tool doesn't only prove to be helpful for wine enthusiasts and beginners but also as a tool for the industry. Learning about wine is an old practice that has made a slow transition into the digital world. Most of the farmers, families, and the industry in general continue to have a preference for more old-school ways of data collection. Having an assistant that gives detailed information on the wine's origin, farming practices, body, and more can revolutionize an industry that is so set in its vintage upbringing.

  How do you streamline data collection in an industry where people are very resistant to technology?











      

    At its core, the app functions as an interactive assistant. It asks users a series of tailored questions—such as preferences, moods, or needs—and then provides recommendations or outputs based on those responses. Its interface is conversational, making the experience feel natural and intuitive rather than mechanical. Users can refine their inputs, explore results in detail, and even save or revisit past interactions. The functionality bridges user input with intelligent suggestions, offering a streamlined experience that adapts to the individual’s choices in real time.
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