<p> **Table of Contents:**<br><br>**

Chapter 1

: Introduction**<br>- Background of the Study<br>- Statement of the Problem<br>- Research Objectives<br>- Significance of the Study<br>- Scope and Limitations<br>- Organization of the Thesis<br><br>**

Chapter 2

: Literature Review**<br>- Overview of Property Management<br>- Evolution of Artificial Intelligence<br>- AI Technologies in Real Estate<br>- Applications of AI in Property Management<br>- Benefits and Challenges of AI Adoption<br>- Theoretical Framework<br><br>**

Chapter 3

: Methodology**<br>- Research Design<br>- Data Collection Methods<br>- Data Analysis Techniques<br>- Case Study Selection<br>- Ethical Considerations<br><br>**

Chapter 4

: Case Studies**<br>- Case Study 1: Implementation of AI in Residential Property Management<br>- Case Study 2: AI-Driven Facility Management in Commercial Real Estate<br>- Case Study 3: AI-Based Predictive Maintenance in Property Operations<br><br>**

Chapter 5

: Analysis and Findings**<br>- Overview of AI Adoption in Property Management<br>- Analysis of Case Study Results<br>- Evaluation of AI Impact on Efficiency and Decision Making<br>- Identification of Challenges and Barriers<br>- Implications for Future Practice and Research<br><br>**Chapter 6: Conclusion and Recommendations**<br>- Summary of Findings<br>- Conclusion<br>- Recommendations for Real Estate Practitioners<br>- Recommendations for Future Research<br><br><br></p>