Insights on how to use AI in real estate for property managers, investors, and brokers.
We recently posted on LinkedIn about the legal climate around multifamily revenue management and the volume of clients looking for new market survey and pricing solutions, which kicked off an interesting debate...
Over the past month, we finished a few pilots where the primary feedback was that our product was “too detailed” for on-site management teams. Here's how we found out why, and fixed the problem in 7 days.
For multifamily property managers just starting with AI, certain applications offer relatively low barriers to entry, quick implementation, and immediate returns on investment. Here are a few of the easiest AI tools to adopt and integrate into existing systems.
The lack of transparency in these models can lead to biased outcomes, lack of accountability, and even security risks. This is where the difference between black box and explainable AI (XAI) models comes into play.
HelloData automates rent comp identification by using AI to select the most statistically similar rent comps based on a comprehensive array of factors including submarket demographics, physical distance, unit specifics, amenities and quality.
Schedule a demo below to see our multifamily analytics platform and APIs in action.
