RentSense Module
Automated Arrears Prevention (AAP)
Identify which customers are most likely to fall into arrears and help prevent your current tenant arrears volumes rising with automated prevention capabilities.
Automated predictive analytics
Our Automated Arrears Prevention (AAP) module, part of our income management solution, RentSense, helps social housing providers predict which customers are likely to fall into arrears in the next three months and automates the necessary contact to enable early intervention arrears prevention where necessary.
Efficient caseload management
Automated Arrears Prevention (AAP) is proven to significantly reduce the future workloads of your income officers by preventing tenants from falling into arrears.
Typically, one in five tenants that receive automated messages via AAP make an immediate payment, thus helping to reduce the number of tenants that fall into arrears.
Automated Arrears Prevention helps prevent tenants from falling into debt and avoids the anxiety of arrears, whilst also reducing future income officer caseloads within RentSense.
Reduce arrears volumes
Automated Arrears Prevention AP uses Supervised Machine Learning; a type of Artificial Intelligence. Its intelligence is based on the largest rent data set in the sector (over 2 million tenancies).
By identifying tenants’ payment patterns (all via unobtrusive data) and then matching similarities with tenancies across the UK, potential payment failures are flagged more easily, reducing the need for often repetitive manual intervention Patterns in the data can also be identified faster handled via configurable automated actions.
Award-winning AI Tech
Automated Arrears Prevention was recently awarded ‘AI Project of The Year’ at the Real IT Awards (RITA) 2024 for its innovative tech-based approach within social housing.
To date our platform has delivered remarkable results for Warwick District Council, significantly reducing tenant arrears and improving overall financial stability.
