Artificial Intelligence in property management automation : technologies, current applications, and challenges.

Abstract

Property Management Software (PMS) is a set of technological tools that can be used to address and anticipate many of the property-related challenges varying from property’s predictive maintenance, energy-efficient solutions and improved residence satisfaction. Most of the modern Property Management Technology (PropTech) companies are building intelligence software to overcome possible challenges on property management sector through advanced technologies like Artificial Intelligence (AI) and Machine Learning (ML). While these technologies are used to automate various aspects of property management, it is also necessary to address if these technological advancements can create real impact and are not just a hype. This thesis introduces these technologies in the context of property management, examines how they can provide analytical, predictive and automation values, and postulates associated challenges.

To provide a complete overview on the best use cases of AI in property management automation, this thesis begins with the detailed research on application areas of AI on PMS – mainly chatbot integration, automation practices and data analytics. Afterwards, the advantages of having AI-driven technologies and challenges of collaborative integration are discussed.

The findings are pertinent to the AI technologies in the form of opportunities, use cases and challenges on property management automation. The thesis also analyses the potential utilization of data using AI-driven algorithms to predict outcomes, find the correct recommendations, and improve efficiency as well as productivity of every property management business.