Technology continues to disrupt the residential real estate industry at a rapid pace. In 2020, it’s becoming more and more necessary for brokers to utilize technology and artificial intelligence to ensure the success of their business and to give themselves an edge against the rest of the competition.
In fact, clients nowadays expect it.
One of the ways technology is disrupting the residential real estate space is the availability of real-time, user-generated data that can be utilized to more accurately predict future appreciation. Predicting appreciation has always been a guessing game based on gut feeling and local knowledge, alongside Census data and quarterly reports with projected population increases in an area, job growth increases and projected rent growth increases.
This method of predicting appreciation is severely flawed for a number of reasons. First, this data is updated very infrequently. Second, it’s not granular—knowing Los Angeles is going to appreciate in the next year isn’t very useful information. Third, everyone gets access to this data at the same time from the same reports, so there’s zero competitive advantage.
The better way to predict appreciation with much higher accuracy and granularity is by using AI combined with readily available real-time data. Lofty AI is an example of a company that’s doing this.
For example, you can identify rising income levels in a neighborhood by tracking the wait times for luxury ride-sharing services. If the wait times for the more expensive ride-sharing options are decreasing in a neighborhood over the past six months, that’s an indication that a wealthier population of people are moving into that neighborhood. You can identify, in real-time, if there is an increase of a higher educated, more tech-forward millennial demographic moving into the neighborhood by tracking an increase in the number of properties using high-speed internet in a neighborhood, alongside data from job boards such as more job postings for software engineers or social media managers—two high-paying jobs sought after by millennials-a-plenty.
You can utilize social media data and track an increase in positive tweets about a new coffee shop, brewery or juice bar in a neighborhood and cross-reference that with popular Instagram influencers posting about those same shops more frequently. That’s a precursor for increased foot traffic, which is a precursor to future property appreciation.
You might mine Airbnb data and notice that a neighborhood’s nightly rates have risen 20 percent in the last six months with a 15 percent increase of five-star reviews. That tells you that people are willing to spend more money to stay in an Airbnb in a neighborhood and when they do, they enjoy themselves because they’re leaving positive reviews. These are all leading indicators available before rent growth and new development in a neighborhood even begins. This gives people the opportunity to buy a property in a micro-neighborhood that’s primed for rapid appreciation before the rest of the industry has a clue.
You can even track an increase of social media posts of certain dog breeds in an area on to quantify a changing social mix. More French bulldog posts equal wealthier population of people in that neighborhood.
Artificial Intelligence is truly disrupting the residential real estate space. Agents must get on board with the change or risk being left behind.
Lofty AI is a Y Combinator-backed real estate technology company utilizing artificial intelligence to predict property appreciation. Based on their historical testing, properties chosen by their technology appreciate over 10 times more than the market average. To find out more, please visit www.lofty.ai/.
Holy S#!7 Wow.
Grant Inaba
#GoodAgent
Or you could just step out your front door, away from your computer and see and meet real humans and realize all this by the power of your own intelligence.
Knowledge is value. We can’t forget though, is that in addition to appreciation of future value, is, what type of neighborhood do they want to live in. I find clients really appreciate when we get them good data but give them personal attention to their specific story. Together you have a win win and long term real estate relationships. Thanks for the great information. I will definitely read more on this site.
Let’s reflect on this statement at the end of the article which is probably a quote itself. “Lofty AI is a Y Combinator-backed real estate technology company utilizing artificial intelligence to predict property appreciation. Based on their historical testing, properties chosen by their technology appreciate over 10 times more than the market average.”
The aforementioned is either suggesting AI in general can predict higher values if high values are selected in their modeling or their data is better…hmmm; it may be the same as believing Zillow is always on target, correct? But the one thing statistics will predict in modeling is that if people do the same thing as in the past, the outcome will be somewhat similar. While any prudent business person will use statistics to decide how to either invest or proceed to do what fancies, it is the quality of the data that will be the predictor to help in the decision making process. In macro-economics 3 things are important to figure where things are going:
1. Unemployment – the best predictor of affordability and it may point if rising prices will continue if the job market continues to grow. There’s work, there’s income as well.2. Monetary policy – rates continue on the low end, prices may continue to rise while liquidity remains the same in the banking system. Remember 2008-2013?3. Fiscal policy – taxes are lowered for all social classes spending will more likely expand and therefore consumption increase and possible price inflation will follow including a cup of coffee at Starbucks.
True technology has always been and will remain an intricate sprocket in production and sales but housing is a roller coaster. Currently housing/real estate is a good ride but may not last for much longer. By the way, learning to use the MLS tools will yield good outcomes in price prediction.
Could AI encourage steering and or is it a form of steering?
Example:
You can even track an increase of social media posts of certain dog breeds in an area on to quantify a changing social mix. More French bulldog posts equal wealthier population of people in that neighborhood.
The price appreciation % has been part of REality and other software for many years, that can be drilled down to a square block.
But as the other comments indicate. Future pricing depends on so many variables that the wisdom of the real estate professional is more reliable.
Think of this: What would my home be worth if they found just a tiny bit of radioactivity in my backyard?
What would that do to my neighborhood?
Lets hope this heralds a new dawn in new AI analysed insight driving successful innovation.