450+ RESO data points can now be completed in seconds with computer vision
A major step forward in AI-powered home search is underway, as Restb.ai’s newest industry-leading computer vision technology is enabling MLSs like Doorify MLS to automatically populate over 450 RESO-standardized data points for every property – instantly.
Advanced AI analyzes listing photos to close a persistent ‘data gap’ in the home search process, making property search more accurate, intuitive, and efficient.
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,” said Matt Fowler, CEO of Doorify MLS.
“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,” added Fowler.
By leveraging RESO standards in a new and more powerful way, Doorify and other forward-thinking 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. The result is home searches that better match what real estate agents’ buyers seek, by creating a faster path to match the right buyer with the right property.
RESO standards unleash the power of AI
“Doorify MLS is a leader among MLSs that understand how to maximize the benefits of AI for their members,” said Dominik Pogorzelski, President, MLS for Restb.ai. “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.
By unlocking property data through computer vision, search results can now include “fixer,” “renovated,” or “under construction” properties based on visual cues rather than inconsistent 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,” added Nathan Brannen, Chief Product Officer at Restb.ai. “And we are in the early innings of unlocking even more capabilities for real estate through computer vision.”
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