{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/665dda1b3ce6480013459039/6a678c0b4207b2a601c739c4?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Can AI Shrink Land Deals From Weeks To Minutes?","description":"<p>Homebuilders are testing AI-native platforms to accelerate land acquisition by consolidating parcel data, ownership records, zoning codes, risk layers, and market signals into a single workflow. Large language models extract zoning rules into structured fields, and computer vision analyzes aerial imagery to infer slope, vegetation, and access points. Public data from FEMA, USGS, NOAA, and EPA combines with commercial sources such as Esri, Regrid, EagleView, Nearmap, and Maxar. Builders layer demand signals from providers like Zonda, CoreLogic, and Realtor.com to prioritize sites. Adoption includes national builders and land developers, while lenders and land bankers add entitlement tracking dashboards. Buyers require audit trails, data provenance, and compliance with licensing and privacy laws, and they favor integrations with Salesforce, Procore, NewStar, and Excel that show measurable reductions in dead-deal costs and faster screening throughput.</p><p>Learn more on this news by visiting us at: https://greyjournal.net/news/</p><p><br></p><p><br></p>","author_name":"GREY Journal"}