Insights on how to use AI in real estate for property managers, investors, and brokers.
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.
Access to high-quality data enables real estate professionals to make informed decisions by understanding market demands, performing accurate valuations, and driving smarter investments. Here are some of the best sources of real estate data in 2024.
We track over 25 million apartment units across the U.S., and maintaining the integrity of our data is a top priority. In our ongoing efforts to ensure the highest quality of data for our clients, we have developed a robust system to identify and remove unauthorized listings.
Choosing the best property management software for your real estate business can be complicated. This article covers some of the things we'd recommend looking at, as well as our Top 5 recommendations for multifamily investors and property managers.
Property managers, landlords, and investors all understand the importance of maintaining high occupancy in rental properties. To consistently attract and retain tenants though, sometimes you have to offer rent concessions, also known as specials.
I wanted to write this series of posts to answer each of the most common questions we hear in demos, and to give some specific examples of how our approach delivers the best rent comps, highly accurate expense benchmarks, and a greatly accelerated multifamily market analysis process.
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