video1.0<iframe src="https://www.loom.com/embed/de475b13cd85415abe5b33a958fed322" frameborder="0" width="1276" height="957" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9571276Loomhttps://www.loom.com9571276https://cdn.loom.com/sessions/thumbnails/de475b13cd85415abe5b33a958fed322-00001.gif288.721 Hi there! In this Loom, I'll be showing you a demo of the custom manufacturing chat GPT that we've developed using natural language model technology. We've partnered with Mountain Point to create a tool that our manufacturing customers can use to quickly get answers to their sales and service teams without having to create multiple reports or filters. We've created an MVP product that utilizes a machine framework alongside open AI to access a SQL database that houses manufacturers repair data set from the last seven years. In this demo, I'll be asking the manufacturing chat GPT some questions about this data set using natural language and look for answers to be provided back quickly. The dataset currently resides on a local database and has about 5,400 records. I'll be asking the GPT questions about the type of repairs and their costs, as well as the longest stage and how much time was spent in that stage. I hope you find this demo helpful!