This PDF provides a brief overview of what proprty.ai is and how the solution is used in practice for maintenance planning across property portfolios.
Many property owners today work with building data that is spread across systems, reports and spreadsheets. This makes it difficult to create an overall view of the condition of buildings and prioritise maintenance and investment at portfolio level.
The document provides a brief introduction to how proprty.ai combines building data, technical knowledge and AI to create a better decision-making basis for maintenance planning.
The PDF describes, among other things:
- Challenges of traditional maintenance planning
- how proprty.ai analyzes and structures building data
- how technical state, economy and CO₂ can be linked in the decision-making basis
- How organizations are working more data-driven with maintenance
proprty.ai is used by professional property owners in Europe, including organisations such as KAB, By & Havn, Copenhagen Ejendomme, PensionDanmark and DTU Science Park.
Download PDF: Introduction to proprty.ai
To read more about how AI is used in maintenance planning, you can also see our article on AI in real estate management.
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