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The machine learning model this tool uses was created to reduce the need to hit a database to see if a part was in it. It was then used to undestand when a user types text into a common search box, to decide if they are looking for a product , or if the term is more likely a general search term. Knowing the users intent can help curate a search experience and reduce the need to check a database that potentially has millions of parts.