Case Study: Apartment Rental Management Company achieves 2X annual revenue and 95% occupancy with EzappSolution

Apartment Rent Optimization Engine provided Overall Increase in Revenue by 2X per year

Apartment Rental Management Company engaged Ezappsolution to optimize rental premiums using artificial intelligence. The client was relying on third‑party competitive data and a manual, cumbersome pricing process that reduced efficiency in filling vacancies; the project aimed to use machine learning to optimize premiums while maintaining a 95% occupancy rate across seasonal cycles.

Ezappsolution performed exploratory data analysis, cleansed and combined internal, market, credit/risk and macroeconomic data, and built reinforcement‑learning and deep‑learning models to predict demand and set seasonally optimized rents, delivering recommendations through a custom Excel tool. Ezappsolution’s Apartment Rent Optimization Engine delivered measurable impact—doubling annual revenue (2X increase) and achieving the targeted ~95% occupancy across business seasonality.