THE ROLE OF ARTIFICIAL INTELLIGENCE IN AUTOMATING MAINTENANCE REQUESTS IN REAL ESTATE: A CASE STUDY OF HOUSING ESTATES IN SOKOTO STATE
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
CHAPTER ONE
1.1 Background of the Study
Efficient property management is a critical aspect of real estate, ensuring tenant satisfaction and the long-term sustainability of housing estates. Maintenance requests, ranging from plumbing repairs to electrical fixes, are a recurring aspect of property management. However, traditional methods of handling these requests often involve manual logging, communication delays, and inefficient resource allocation, leading to tenant dissatisfaction and increased operational costs.
Artificial Intelligence (AI) offers solutions to these challenges through automation. AI-driven systems can streamline maintenance request processes by enabling tenants to report issues through smart platforms, which then prioritize, assign, and monitor the tasks automatically. These systems also use predictive analytics to identify potential maintenance issues before they escalate, ensuring proactive management.
In Sokoto State, housing estates face challenges in managing maintenance efficiently due to limited resources and outdated systems. This study explores the role of AI in automating maintenance requests, with a focus on improving efficiency, reducing costs, and enhancing tenant satisfaction in housing estates in Sokoto State.
1.2 Statement of the Problem
Housing estates in Sokoto State struggle with inefficient maintenance management systems, resulting in delays, high costs, and tenant dissatisfaction. Manual processes are prone to errors and resource wastage. This study investigates how AI technologies can address these challenges by automating maintenance requests and enabling predictive maintenance.
1.3 Aim and Objectives of the Study
The aim of this study is to assess the role of AI in automating maintenance requests in real estate management in Sokoto State. The specific objectives are:
- To evaluate the effectiveness of AI systems in automating maintenance request processes.
- To analyze the challenges of implementing AI in maintenance management in housing estates.
- To determine the impact of AI-driven automation on tenant satisfaction and operational efficiency.
1.4 Research Questions
- How effective is AI in automating maintenance requests in housing estates in Sokoto State?
- What challenges do housing estate managers face in adopting AI-driven maintenance systems?
1.5 Research Hypotheses
- AI significantly improves the efficiency of maintenance request management in housing estates.
- The adoption of AI systems enhances tenant satisfaction in housing estates.
- Limited technical expertise and resources hinder the implementation of AI-driven maintenance automation.
1.6 Significance of the Study
This study highlights the potential of AI in transforming property management practices, offering practical recommendations for real estate managers and policymakers. It contributes to the understanding of how technology can enhance operational efficiency and tenant experiences in Nigerian housing estates.
1.7 Scope and Limitation of the Study
The study focuses on housing estates in Sokoto State and the use of AI to automate maintenance requests. It excludes other aspects of property management, such as lease management, and regions outside Sokoto State. Limitations include access to data on existing maintenance systems and the level of AI adoption.
1.8 Definition of Terms
- Artificial Intelligence (AI): Technology that enables machines to perform tasks such as automation and predictive analysis.
- Maintenance Requests: Issues reported by tenants requiring repair or upkeep in housing estates.
- Housing Estates: Residential developments consisting of multiple housing units managed collectively.
- Sokoto State: A state in northwestern Nigeria known for its urban and rural housing developments.
Related Project Materials
An Assessment of Physical Activity Levels Among Elderly Populations in Sokoto State
Background of the Study
Regular physical activity is crucial for maintaining health and well-being, parti...
An Evaluation of Strategic Alliance Formation and Business Growth: A Case Study of Oil and Gas Firms in Kaduna State
Background of the Study
Strategic alliances are collaborative agreements between firms aimed at achieving mutually beneficial objectives,...
An Examination of Knowledge Management Strategies on Business Growth: A Case Study of Manufacturing Firms in Bauchi State
Background of the Study
Knowledge management has emerged as a critical factor for busi...
THE ROLE OF FUND ACCOUNTANTS IN ASSET MANAGEMENT
Abstract: THE ROLE OF FUND ACCOUNTANTS IN ASSET MANAGEMENT
The objectives of this study are to: (1) evaluate the critical functions of fu...
Analysis of Wireless Network Interference Issues in Federal University, Wukari, Taraba State
Background of the Study
Wireless networks have become an essential component of modern educational inst...
MERGER AND ACQUISITION IN THE BANKING INDUSTRY IN NIGERIA
ABSTRACT
Banking is in the midst of change that has arisen due to economic depression. As government se...
Optimization of E-Learning Platforms Using Machine Learning: A Case Study of Usmanu Danfodiyo University, Sokoto (Wamako LGA, Sokoto State)
Background of the Study
E-learning platforms have gained significant traction in higher education, particularly with the in...
The Impact of Nurse-Patient Communication on Post-Surgical Recovery in Ahmadu Bello University Teaching Hospital, Kaduna State
Background of the Study
Effective nurse-patient communication is fundamental to post-surgical recover...
THE EFFECT OF KNOWLEDGE MANAGEMENT PRACTICES ON SERVICE DELIVERY IN ACADEMIC LIBRARIES IN ADAMAWA STATE
Background of the Study
Knowledge management practices in academic libraries involve the systematic processes of acquiring,...
The influence of e-learning platforms on STEM students in Potiskum LGA, Yobe State
Background of the Study
In recent years, e-learning platforms have emerged as transformative tools in education, particula...
