Back
Ecosystem

AI in property management for commercial real estate

PropTech and AI are revolutionising property management in Switzerland. Focus on increasing efficiency and reducing costs for commercial property.

Written by
Remo Stahl
Published on
October 6, 2025

Digitalisation is changing the property management of commercial real estate in the long term. AI in property management is driving efficiency increases and cost reductions. PropTech solutions are setting new standards to support asset managers and facility managers in Switzerland and around the world. Based on current studies and market reports, this article shows how AI-based systems are revolutionising the management of office and commercial space and what future potential they offer.

 

 

The role of AI in property management

Artificial intelligence (AI) networks processes, analyses large amounts of data and makes decisions that were previously reserved for manual workflows. In Swiss property management, this enables data-driven management. PropTech companies are developing intelligent platforms that reduce operating costs, optimise the use of resources and improve tenant comfort. Smart buildings, coupled with sensors, IoT and AI, control energy consumption or building maintenance in real time.

 

Current studies show that the use of AI solutions significantly increases operational efficiency in property management. Market reports show that intelligent systems speed up administrative processes by up to 30 per cent. This ranges from the automatic checking of rental contracts and optimised cleaning schedules to preventive maintenance using predictive analyses. All of these measures reduce costs and improve service quality at the same time.

 

 

Increased efficiency through data-driven property management

Data-driven property management utilises structured and unstructured data from various sources: Sensors, user behaviour, energy consumption and external market developments. AI algorithms enable continuous optimisation. For example, vacancy rates can be minimised through dynamic rent pricing, while energy optimisation reduces consumption and therefore ancillary costs. Facility managers benefit from automated workflows that reduce manual intervention and eliminate sources of error.

 

The networking of building data is particularly crucial in the management of office and commercial space. Smart buildings integrate a variety of technologies to monitor the status of facilities in real time. AI systems analyse this data and use it to derive instructions for action - for example to automatically control lighting or heating. This not only improves the environmental footprint, but also the total cost of ownership.

 

 

Cost reduction through AI and PropTech

Transparent cost structures and sustainable savings are essential for property investors and asset managers. AI-controlled property management helps with this through greater forecasting accuracy and optimised resource planning. Automated processes reduce labour costs and lower administrative and operating costs. In addition, there are better maintenance cycles that minimise unplanned repairs and downtime.

 

Market reports from Switzerland show that companies that rely on PropTech solutions save an average of 15 to 25 per cent in property management costs. Intelligent analysis tools enable more efficient planning of renovation cycles and increase tenant satisfaction at the same time. The integration of AI into facility management also creates new opportunities for sustainability through targeted energy management.

 

 

Future potential and challenges

The PropTech sector is growing dynamically. AI in property management will provide personalised solutions and real-time analyses in the future. Machine learning will help to better recognise patterns in usage data and make more profitable investment decisions. The combination of AI, mixed reality and blockchain technologies also promises transparent and secure processes.

 

However, it is a challenge to comprehensively guarantee data protection and cyber security in data-driven property management. The integration of smart buildings requires standardised interfaces and high data quality. User acceptance and staff training are also important success factors.

 

 

Conclusion

The digitalisation of property management in Switzerland through AI-driven property management offers considerable advantages for increasing efficiency and reducing costs in commercial properties. PropTech solutions enable data-driven management that automates operational processes and improves the quality of property management. This turns smart buildings into sustainable and economical properties.

 

The targeted use of AI and PropTech offers property asset managers, facility managers and investors sustainable prospects for the future. Data protection and the integration of technological systems are challenging. Companies that recognise and exploit this potential today will maximise their value and competitive advantage in the long term.