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AI Applications in the Real Estate Industry Primarily Occur During Utilization and Management, rather than in the Planning Stage. A fresh whitepaper by pom+Consulting AG offers insights into AI's role across the entire real estate lifecycle, drawing from 55 separate studies. The report sheds...

Consultations have been held with the Commission concerning the following matters:
Consultations have been held with the Commission concerning the following matters:

Consultations have been held with the Commission regarding these matters:

In the dynamic world of real estate, Artificial Intelligence (AI) is making significant strides, particularly in the utilization and operation phase. According to a whitepaper by pom+Consulting AG, AI is being employed for a wide range of applications throughout the entire real estate lifecycle.

Notable companies like WALLROUND, casavi, and aedifion are at the forefront of this revolution. WALLROUND offers a fully integrated digital renovation solution, while casavi expanded its portfolio with the AI-powered telephone assistant AI Voice Pro after acquiring MANAGBL.AI. Aedifion uses AI to analyse building data for energy efficiency. Vonovia is a major stakeholder in WALLROUND, and the transformation is widely recognised across over 90% of surveyed real estate companies focusing on AI as a key technology.

However, the whitepaper, which analyses 55 specific AI solutions, finds that AI solutions are more commonly used in the utilization and operation phase than in the planning phase. Crucial decisions regarding future energy consumption and operating costs are not yet being addressed by AI in the planning phase.

In the utilization and operation phase, AI systems are used for automated control of technical facilities and for optimising cleaning and waste processes. AI also plays a crucial role in contract review and the management of large data volumes.

The whitepaper identifies 24 overarching use cases for AI in the real estate industry. These primarily benefit strategic actors such as investors, owners, and portfolio managers, offering data-based valuation models, portfolio analyses, and identification of CO2 savings potential.

Despite these advancements, the building sector is still in the experimental phase, with many pilot projects, few scaled solutions, and a lack of reliable data. AI is currently seen primarily as an instrument for efficiency improvement, risk reduction, and value optimization, rather than as a means to enhance user experiences or services.

As we move forward, it is clear that AI will continue to shape the real estate industry, offering numerous opportunities for improvement and innovation. The whitepaper provides a comprehensive analysis of AI usage in the real estate industry, serving as a valuable resource for those seeking to understand and harness the power of AI in this field.

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