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A Systematic Literature Review on Artificial Intelligence Based Techniques for Nurturing Operations in Real Estate Sector

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  • Ashok Kandipati

Abstract

This systematic literature review (SLR) examines the revolutionary impact of artificial intelligence (AI) in the real estate industry, emphasizing critical applications including property appraisal, market analysis, client interaction, and operational efficiency. The results indicate that AI-driven methodologies, including machine learning and generative AI models, enhance property appraisal precision by up to 95% and decrease operating expenses by 20–30% via automation and predictive analytics. AI-enabled solutions significantly improve market trend forecasting, providing insights with an accuracy enhancement above 20% relative to conventional methods. Moreover, AI applications in client engagement, such as chatbots and virtual assistants, diminish response times by 50% and enhance client satisfaction rates. The evaluation also discusses hurdles such as data quality, legal issues (e.g., adherence to Fair Housing legislation), and integration difficulties. This paper synthesizes current accomplishments and highlights future trends, providing actionable insights for researchers, practitioners, and policymakers seeking to utilize AI for strategic planning and operational optimization in the real estate sector.

Suggested Citation

  • Ashok Kandipati, 2025. "A Systematic Literature Review on Artificial Intelligence Based Techniques for Nurturing Operations in Real Estate Sector," Journal of Real Estate Literature, Taylor & Francis Journals, vol. 33(2), pages 61-86, July.
    • Handle: RePEc:taf:rjelxx:v:33:y:2025:i:2:p:61-86
    DOI: 10.1080/09277544.2025.2466370
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