EXPO REAL: Three Topics That Matter Now

The EXPO REAL serves as a good barometer every year for the issues that truly matter to the real estate industry. In 2026, one thing becomes particularly clear: the discussion is shifting from visions of the future to concrete applications.

PROBIS focuses on three key areas: AI in project controlling, data-driven benchmarking, and the overarching management of entire project portfolios.

AI Becomes Part of Operational Project Controlling

Artificial intelligence is by no means a new topic. What is new is the expectation surrounding its practical application.

Companies want to know how AI specifically improves existing processes: Where does it reduce manual effort? Where does it detect deviations more quickly? How does it support forecasting, reporting, or the analysis of complex project data?

This is exactly where PROBIS AI Labs comes in. Our goal is not to view AI as an isolated, add-on feature, but to integrate it directly with structured project and financial data.

The real added value thus comes from the combination of reliable data, clear processes, and intelligent analysis.

Benchmarking serves as a basis for decision-making

Many real estate companies already have large amounts of project and cost data. The key, however, is how to compare this information in a meaningful way.

This is exactly where data-driven benchmarking becomes increasingly important.

When historical and current project data are consolidated in a structured manner, it becomes easier to analyze cost trends, identify variances more quickly, and plan new projects more realistically.

Benchmarking becomes particularly relevant when projects, regions, types of use, or project phases can be systematically compared with one another. In this way, isolated project data is transformed into a reliable knowledge base for future decisions.

From a Single Project to a Portfolio

At the same time, the perspective of many companies is changing.

Instead of focusing solely on individual projects, it is increasingly necessary to manage entire portfolios. Budgets, forecasts, cash flows, CAPEX, and risks must be consolidated centrally without losing transparency at the project level.

That is exactly why portfolio management continues to grow in importance.

Decision-makers not only need an aggregated overview, but must also be able to determine at any time which projects are driving specific developments and where risks arise.

Data forms the basis for better decisions

AI, benchmarking, and portfolio management are closely interrelated.

AI requires structured data. Benchmarking requires consistent and comparable data. Portfolio management can only function efficiently if information from individual projects is consolidated in a standardized manner.

This also changes the role of software. It’s less about constantly adding new individual features and more about the ability to intelligently connect data, processes, and decisions.

We look forward to seeing you at the trade show!

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