AI Rental Pricing Optimization
The Problem
“Optimize rents dynamically to maximize NOI”
Organizations face these key challenges:
1
Rents are set with stale or incomplete comps, missing rapid shifts in competitor pricing, demand, and seasonality
2
Inconsistent pricing decisions across properties and leasing agents create revenue leakage and uneven occupancy performance
3
Limited visibility into price elasticity and trade-offs between rent, concessions, and days-on-market leads to reactive pricing and higher vacancy
Impact When Solved
1.5%–4.0% improvement in effective rent and revenue capture through unit-level pricing recommendations3–10 fewer vacancy days per turn and 5%–15% reduction in concessions by aligning rents to real-time demand30%–60% reduction in manual pricing effort with automated monitoring, alerts, and explainable recommendations