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The Future of MLS Tech: AI, Data, and Broker Solutions with Daniel Jones

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Manage episode 473378307 series 3491067
Content provided by Doorify MLS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Doorify MLS or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

From AI-powered listings to data standardization, what does the future hold for MLS platforms, brokers, and real estate professionals?
I sat down with Daniel Jones, CEO of Hive MLS, to talk about how our MLSs—Doorify and Hive—are tackling these challenges and shaping the future of real estate data and technology. Daniel and I have crossed paths at conferences for years, and we finally had the chance to sit down and talk about the challenges and opportunities we’re seeing in the MLS world.

We got into the nitty-gritty of running MLS platforms, from structuring services and partnerships to solving data problems and integrating AI-powered tools. And, of course, we touched on the future of lockbox access, membership rules, and how MLSs can work together without losing their independence.
This conversation is just the start. There’s so much opportunity to improve MLS systems for brokers, and Daniel and I are both committed to pushing things forward. Listen in to hear how these changes could impact the way you work.

Specifically, this episode highlights the following themes:

  • The role of AI in streamlining MLS listings and improving efficiency
  • How MLSs can better standardize and manage data for brokers
  • Challenges and solutions for cross-market access and lockbox management

Links from this episode:

1ae5b43598204883b524f061d4880e6d10fca88c (for podfollow.com)

  continue reading

Chapters

1. Introduction (00:00:00)

2. About Daniel Jones (00:00:30)

3. How Doorify and Hive serve brokers in North Carolina (00:02:09)

4. Differences between FlexMLS and CoreLogic platforms (00:03:24)

5. The challenge of managing MLS data across systems (00:05:40)

6. Hive’s wholesale MLS model and partnerships (00:07:04)

7. Why RESO compliance matters for data standardization (00:10:07)

8. AI-powered listings and automation in real estate (00:12:22)

9. How AI can optimize property listings for brokers (00:15:29)

10. Lockbox access challenges and potential solutions (00:17:07)

11. Using SourceRE and APIs to streamline data sharing (00:21:42)

12. RESO 2.0 updates and their impact on MLSs (00:23:24)

13. The future of AI in MLS workflows and broker efficiency (00:26:12)

14. Final thoughts on MLS evolution and industry cooperation (00:28:37)

101 episodes

Artwork
iconShare
 
Manage episode 473378307 series 3491067
Content provided by Doorify MLS. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Doorify MLS or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

From AI-powered listings to data standardization, what does the future hold for MLS platforms, brokers, and real estate professionals?
I sat down with Daniel Jones, CEO of Hive MLS, to talk about how our MLSs—Doorify and Hive—are tackling these challenges and shaping the future of real estate data and technology. Daniel and I have crossed paths at conferences for years, and we finally had the chance to sit down and talk about the challenges and opportunities we’re seeing in the MLS world.

We got into the nitty-gritty of running MLS platforms, from structuring services and partnerships to solving data problems and integrating AI-powered tools. And, of course, we touched on the future of lockbox access, membership rules, and how MLSs can work together without losing their independence.
This conversation is just the start. There’s so much opportunity to improve MLS systems for brokers, and Daniel and I are both committed to pushing things forward. Listen in to hear how these changes could impact the way you work.

Specifically, this episode highlights the following themes:

  • The role of AI in streamlining MLS listings and improving efficiency
  • How MLSs can better standardize and manage data for brokers
  • Challenges and solutions for cross-market access and lockbox management

Links from this episode:

1ae5b43598204883b524f061d4880e6d10fca88c (for podfollow.com)

  continue reading

Chapters

1. Introduction (00:00:00)

2. About Daniel Jones (00:00:30)

3. How Doorify and Hive serve brokers in North Carolina (00:02:09)

4. Differences between FlexMLS and CoreLogic platforms (00:03:24)

5. The challenge of managing MLS data across systems (00:05:40)

6. Hive’s wholesale MLS model and partnerships (00:07:04)

7. Why RESO compliance matters for data standardization (00:10:07)

8. AI-powered listings and automation in real estate (00:12:22)

9. How AI can optimize property listings for brokers (00:15:29)

10. Lockbox access challenges and potential solutions (00:17:07)

11. Using SourceRE and APIs to streamline data sharing (00:21:42)

12. RESO 2.0 updates and their impact on MLSs (00:23:24)

13. The future of AI in MLS workflows and broker efficiency (00:26:12)

14. Final thoughts on MLS evolution and industry cooperation (00:28:37)

101 episodes

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