video1.0<iframe src="https://www.loom.com/embed/7b7f52e2d71645c09577e90b861cf5cd" frameborder="0" width="1428" height="1071" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10711428Loomhttps://www.loom.com10711428https://cdn.loom.com/sessions/thumbnails/7b7f52e2d71645c09577e90b861cf5cd-8fe8fe1c29c4678a.gif300.1665In this video, I walk you through our data upload page where we can generate a sample data set of 500 properties and run a neighborhood analysis to identify potentially undervalued areas. We utilize a random forest model to provide insights on price per square foot and key price drivers, along with a price prediction feature that allows you to customize linear regression parameters. I also highlight our upcoming data enrichment tools that will enhance property data with neighborhood information and market trends. Lastly, I showcase our AI reporting capabilities, which generate comprehensive market reports based on our analysis, offering valuable insights for buyers and investors. Please take a moment to explore these features and consider how they can improve your real estate strategies.