SPARK and similar software companies already do that.Poor choice of words on my part. The AI agent will grid X number of comps based on your parameters from the prior reports and guidelines it was trained with.
As I see it, AI (or whatever nomenclature you want to use) currently struggles with external, physical, and functional issues. Give an AVM a home in a homogeneous market - it probably outperforms an appraiser, as appraisers bring bias into the model - whether they want to or not. Its identifying proximity to a dump site that it struggles with. Or the bathroom being located off a bedroom (which - if we're honest - appraisers struggle with also). The physical piece is quicky being addressed with photo recognition software. And you can bet the external piece isn't too far behind - teaching LLM's to recognize golf courses, or busy arterials, or commercial, or whatever the factor is. Then you're only left with the functional piece - which is a very small % of the overall appraisable population...If you think what you do doesn't have any value over automated processes then yes you should be worried.
Some external factors can be a very major part %.As I see it, AI (or whatever nomenclature you want to use) currently struggles with external, physical, and functional issues. Give an AVM a home in a homogeneous market - it probably outperforms an appraiser, as appraisers bring bias into the model - whether they want to or not. Its identifying proximity to a dump site that it struggles with. Or the bathroom being located off a bedroom (which - if we're honest - appraisers struggle with also). The physical piece is quicky being addressed with photo recognition software. And you can bet the external piece isn't too far behind - teaching LLM's to recognize golf courses, or busy arterials, or commercial, or whatever the factor is. Then you're only left with the functional piece - which is a very small % of the overall appraisable population...
As I see it, AI (or whatever nomenclature you want to use) currently struggles with external, physical, and functional issues. Give an AVM a home in a homogeneous market - it probably outperforms an appraiser, as appraisers bring bias into the model - whether they want to or not. Its identifying proximity to a dump site that it struggles with. Or the bathroom being located off a bedroom (which - if we're honest - appraisers struggle with also). The physical piece is quicky being addressed with photo recognition software. And you can bet the external piece isn't too far behind - teaching LLM's to recognize golf courses, or busy arterials, or commercial, or whatever the factor is. Then you're only left with the functional piece - which is a very small % of the overall appraisable population...
that is correct.Some external factors can be a very major part %.
Theoretically the same methodologies that appraisers use... I know for a fact that AI uses regression better than most appraisers. Teaching it to perform paired sales would be much easier than regression I'd think.Yeah, but how will it determine the impact of those differences?
The reaction to those differences are very micro market specific.
yep.And sometimes being on a busy street doesn't even matter. Sometimes a two lane big street is a huge deal.
Theoretically the same methodologies that appraisers use... I know for a fact that AI uses regression better than most appraisers. Teaching it to perform paired sales would be much easier than regression I'd think.