Process mining makes industrial processes smarter

PEX Network’s key takeaways:

• Researchers from the Eindhoven University of Technology (TU/e) explore how process mining makes industrial processes smarter.
• The event showed how data can be not only shared but also leveraged effectively.
• Participants discussed the business functions in which they expect process mining to drive most value.

Researchers from the Eindhoven University of Technology (TU/e) joined speakers from Vanderlande, Celonis, Prodrive Technologies, and Konekti to explore how process mining makes industrial processes smarter.

On December 3, the Digital Transformation Community hosted its sixth session, focusing on how process mining enables companies to make production more efficient.

The event showed how data can be not only shared but also leveraged effectively, with TU/e researchers connecting their expertise with real-world examples from industry.

TU/e is a public technical university in the Netherlands, situated in Eindhoven. It specializes in engineering science and technology.

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How process mining makes industrial processes smarter

“Process mining makes it possible to monitor what is currently happening in your manufacturing processes and predict what is likely to happen in the future, in particular which production orders are likely to be on time and which ones will not or will not be of the right quality level,” read a posting on the TU/e website.

Process mining also covers the automated creation of digital twins of industrial processes, allowing companies to simulate, monitor, and optimize operations.

Alongside TU/e contributions, companies shared their experiences:

• Vanderlande highlighted the importance of data preparation for process mining.
• Celonis presented the current state-of-the-art in process mining: object-centric process mining (OCPM).
• Prodrive Technologies focused on conformance checking in manufacturing processes.
• Konekti discussed data transformation as a foundation for successful process mining projects.

In an interactive session, participants discussed the business functions they expect process mining to drive the most value in and process mining functionality they consider most interesting.

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6 trends shaping process mining in 2026

Process mining is undergoing a revolution, shifting from ‘static reporting’ to ‘real-time intelligence’ (aka process intelligence).

This will continue into 2026 as process mining evolves into a true business differentiator, enhanced by emerging artificial intelligence (AI) and autonomous technologies. 

1. Static reporting to real-time intelligence: Rather than periodic audits or occasional analysis, more firms are using process mining as an ongoing, real-time monitoring tool.
2. Changing expectations of process mining: Expectations of process mining are evolving as it plays an increasing role in modern businesses.
3. Rise of OCPM: OCPM has been gaining traction this year and will continue to do so in 2026. OCPM has been ‘the future’ for years, but now it’s catching up in practice.
4. Integration with AI and automation: Process mining is increasingly used in tandem with AI and automation to not only discover processes, but also predict outcomes, suggest optimizations, or feed into engines such as robotic process automation (RPA).
5. Cloud-based, scalable deployment: More process mining tools are cloud-native, lowering the barrier to entry for smaller organizations and enabling flexible, scalable deployments rather than heavy on-premise setups.
6. Industry-specific and customized applications: As organizations in sectors like healthcare, manufacturing, finance, and public administration increasingly adopt process mining, tailored solutions and industry-specific best practices are emerging.

All Access: AI in Process Excellence 2026

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