Managing tenants and leases is a critical aspect of real estate business strategy, and getting it right can have a significant impact on occupancy rates and revenue. Traditional methods of tenant and lease management, such as manual tracking or rule-based systems, can be time-consuming and may not take into account all the factors that can influence tenant behavior and preferences.

AI and machine learning (ML) can play a key role in optimizing tenant and lease management in real estate businesses. By training an ML model on tenant data from various sources, such as behavior and preferences, lease terms, and market trends, our solution can identify opportunities to optimize tenant and lease management decisions. In addition, ML models can be used to adjust lease terms in real-time based on tenant behavior and market trends, ensuring that real estate companies are always offering competitive lease terms.