Matt Davis says the machine learning model sets the bar at a new level for prospect risk management.

RICHARDSON, TX—This week, RealPage Inc. introduces RealPage AI Screening, the first artificial intelligence-based screening algorithm built specifically for the multifamily industry. The solution, developed by RealPage resident screening and data science teams, disrupts generic rules-based and statistical-based scoring models, enabling property management companies to identify high-risk renters with greater accuracy.

“Our new outcome-driven machine learning model sets the bar at an entirely new level for prospect risk management in our industry,” says Matt Davis, senior vice president of financial services at RealPage. “We are delivering innovation to our customers based on the massive dataset of move-out experiences that exist within RealPage. Additionally, our clients won't have to wait for innovation or improvements as this machine learning system will learn with each new move-out experience. It's a miraculous outcome from the marriage of machine learning and RealPage's unique dataset. We are confident in our screening model's capabilities because it was tested and piloted by several industry leaders over the past six months, spanning more than 100,000 apartments.”

This model purports to be materially more effective than traditional screening solutions, with an average proven savings of $31 per apartment per year without negative impact to occupancy or revenue. RealPage AI Screening offers the potential to return hundreds of millions in financial losses back to property management companies across the industry.