AI Screening for On-Site Reveals the Right Renters for R.A. Snyder

An On-Site^_® customer since 2005, multifamily operator R.A. Snyder excitedly welcomed the introduction of RealPage’s AI Screening to their leasing process across nearly 300 rental communities. In these uncertain times, data-driven innovations like AI Screening from a trustworthy partner like RealPage gives their property teams confidence in selecting quality applicants as residents. The new multifamily AI scoring model can more accurately predict the behavior of future residents and then continually learn based on that resident’s behavior.

During their experience as a beta customer, feedback on using the long-awaited AI Screening solution indicated that their communities were successfully finding quality rental applicants who would have been overlooked by the traditional screening methodology. The powerful, predictive scoring from AI Screening helps the R.A. Snyder team understand both an applicant’s capability and their willingness to pay rent.

Supporting their operational goals to reduce bad debt and financial losses while maintaining occupancy in an unpredictable market, the new solution helps ensure consistent revenue and offers the proven potential to save an average of $31 per unit per year. Best of all, since rolling out to their entire portfolio, R.A. Snyder is finding that their biggest reason for implementing AI Screening has delivered the biggest payoff of all – revealing new rental candidates who have become great neighbors.

For more information, visit RealPage ^_® Resident Screening.