Artificial Intelligence in Real Estate: “Maybe one day they’ll need-homes too.”

 

In 2018, it seems the most promising, and yet most horrifying frontier is artificial intelligence, or (AI). The potentials for computing ability, in short increments of time, are almost unfathomable, while the ethical implications in creating an entity with such a supreme nature are grounds for insomnia. Regardless, even if its potentiality keeps you up at night, artificial intelligence is being incorporated into almost every sector of the market, including real estate; it’s the biggest thing since sliced bread. The effects this technology could have on the traditional methods of real-estate business are still obscure. Companies like REX Real Estate Exchange are offering the consumer an artificial intelligence-driven service that essentially replaces the human agent, and charges less in commission. In this service, the computer runs through hundreds of thousands of data points to identify potential buyers. To accomplish this, the AI extracts and scrutinizes mountains of personal browsing data and flags the individual users who are satisfying the criteria of interest. Once a user is identified, the system advertises the properties, to the potential customers, on their preferred social media platforms, as well as the websites they visit which allow some form of what I would call advertisement metamorphosis.

data miningArtificial intelligence isn’t just the foundation of new startups, it’s being implemented into pre-existing real-estate tools that have been transforming the market for years. ATTOM data’s AVM is a tool which analyzes previous property purchases. The system breaks down property characteristics, compiles them and assigns values, and uses them to set a market value scale. This same process can be applied to a buyer. Artificial intelligence makes it possible to scrutinize personal data and, consequently, base property value on the desired home qualities, income, and personality traits of buyers, not just the characteristics of properties. Even services, like Zillow, will need to adapt greater AI capability. The consumer today shapes their life according to recommendations. Video streaming and food services use AI to suggest future choices to people based on prior activity. It’s a fundamental tenant of psychology that most people desire to be instructed and managed. This same concept applies to how AI is incorporated. Real estate web services, with the help of AI, will be presenting recommendations, to the consumers, based on extrapolated data trails. Has this individual posted about having children? Add a spare bedroom qualifier to their home criteria. Do they like barbeque? Advertise a property in close proximity to something finger-lickin’ good. Do they like reading? Propose a property with abundant natural light.

The future of real estate, with the help of AI, is consumer personalization. The average artificial intelligenceperson, according to a Nielsen Company audience report, spends 10 hours a day consuming media online. That amounts to 3,650 hours, and 41.6% of the average person’s year spent online. This activity produces an incomprehensible mass of data trail to be scrutinized and expressed in your next home purchase. How AI will ultimately transform the real estate business is unknown. Who knows, perhaps one-day artificial intelligence will purchase property for itself. All one can be utterly sure of is that the phrase, “I’ll be back,” will not be vocalized because AI isn’t terminating anytime soon.

 

Advertisements