AI Tenant Retention Prediction
The Problem
“You only learn a tenant will churn when the renewal is already lost”
Organizations face these key challenges:
Tenant risk signals are scattered across CMMS, leasing, billing, and support tools—no unified “health score”
Property teams operate reactively (escalations, angry emails) instead of proactively preventing dissatisfaction
Retention actions aren’t prioritized—teams waste time on low-risk tenants while high-risk accounts slip away
Leadership can’t explain churn drivers or forecast retention, making budgeting and staffing guesswork
Impact When Solved
Real-World Use Cases
AI Predictive Maintenance for Commercial Buildings
This is like giving a commercial building a smart “check engine light” that looks at all the sensor data (HVAC, elevators, lighting, water systems) and warns you before something breaks, instead of after tenants complain or systems fail.
AI for Improving Tenant Satisfaction in Property Management
Think of this as a smart digital concierge for your buildings. It listens to tenant requests 24/7, routes issues to the right people, predicts what will go wrong before it happens (like a broken elevator), and helps you communicate clearly with tenants so they stay happy and renew their leases.