A major step forward in artificial intelligence (AI)-powered home search is underway, as Restb.ai’s newest computer vision technology is enabling MLSs like Doorify MLS to automatically populate over 450 RESO-standardized data points instantly for every property, according to a release.
Advanced AI analyzes listing photos to close a persistent “data gap” in the home search process, making property searches more accurate, intuitive, and efficient, according to Restb.ai.
MLSs have long depended on real estate agents to manually input property features, an essential but often inconsistent step in the listing process. With Restb.ai’s latest image scanning technology, listing platforms can now extract and tag 468 RESO-compliant “Lookup Values” directly from photos.
Property features such as architectural styles, garage space counts and property condition are instantly identified and auto populated in the MLS listing fields for the agent.
“Restb.ai tech inside the Ocusell platform we use solves the ‘data gap’ problem that plagues property listings and delivers all the data to us automatically,” Doorify CEO Matt Fowler said in the release. “Many real estate agents do a great job of carefully checking off home features when creating a listing, but some fields can be missed, and unfortunately, other agents are not as thorough. AI technology delivers more complete data.”
By leveraging RESO standards in a new and more powerful way, Doorify and other MLSs are transforming how property search works, giving agents and consumers the benefits of more complete listing data without relying on time-consuming manual entry.
“Doorify MLS is a leader among MLSs that understand how to maximize the benefits of AI for their members,” Dominik Pogorzelski, president, MLS for Restb.ai, said. “They are not only embracing innovation, but they’re implementing it strategically to save their members time and effort by improving data completeness, which will power smarter search. They are implementing our newest model to help better prepare the real estate industry for the future.”
By embedding image intelligence and automation into real estate agent listing workflows, MLSs will also be able to provide greater trust and transparency in the home discovery process and by unlocking property data through computer vision, search results can now include “fixer,” “renovated,” or “under construction” properties based on visual cues rather than manual inputs.
“Restb.ai technology will help agents serve their clients with greater clarity and efficiency, while empowering MLSs to modernize their platforms and better streamline existing agent workflows,” Nathan Brannen, chief product officer at Restb.ai, said. “And we are in the early innings of unlocking even more capabilities for real estate through computer vision.”