AI Lease Renewal Prediction
The Problem
“Predicting Tenant Lease Renewals Before Notice Periods”
Organizations face these key challenges:
1
Late visibility into renewal intent leads to avoidable vacancy, rushed pricing decisions, and reactive concessions
2
Retention efforts are not prioritized, causing teams to spend time on low-risk tenants while missing high-risk leases
3
Inconsistent documentation and fragmented data across PMS/CRM/work-order systems makes forecasting unreliable and hard to operationalize
Impact When Solved
Earlier churn detection (60–120 days pre-expiration) enables proactive outreach and tailored offersLower vacancy loss and turn costs through fewer move-outs and shorter downtime between residentsMore accurate renewal forecasting improves budgeting, staffing, and revenue management decisions at asset and portfolio levels