Occupantly leverages machine learning to analyze tenant data, market trends, and economic indicators to predict future demand for various office space configurations.

Owners receive actionable insights that suggest remodeling spaces, adjusting lease lengths, and altering price points to align with predicted trends.

The platform integrates with property management systems to provide real-time dashboards and simulation tools, allowing owners to experiment with different scenarios and investment choices in a cost-effective way.

Unlike traditional methods, Occupantly offers real-time, data-driven predictions enabling owners to adjust offerings before market shifts occur.

This proactive approach ensures higher occupancy and optimized investment returns by aligning space offerings with actual demand.

The technology leverages existing data sources and integrates with current property management systems, making implementation feasible.

Potential barriers include acquiring sufficient historical data and ensuring privacy compliance.

However, with increasing digital data capture in real estate, these challenges are manageable.