Dorfner Accelerates Recipe Development with AI

Nominated for the AI Impact Award 2026 in the Production and Supply Chain Category

Mirko Mondan, Managing Director of Dorfner, AI Impact Award 2026
07.04.2026 | Article

The AI Impact Award, presented by the German business newspaper manager magazin and Porsche Consulting, honors companies that successfully and effectively apply artificial intelligence in real-world practice. The award highlights solutions that create genuine economic and societal added value.

Dorfner has been nominated for the AI Impact Award 2026 in the Production and Supply Chain category. This category honors solutions that make processes across production, logistics, or the supply chain more efficient, safer, or more sustainable. In a short interview, Mirko Mondan, Managing Director of Dorfner, explains the challenges his team faced, how the AI-based approach was developed, and which results are already visible today.

 

Mr. Mondan, what technical or process-related challenges pushed traditional recipe development for industrial coatings to its limits?

Supply bottlenecks, skilled labor shortages, raw material constraints, energy and sustainability requirements, and constantly changing regulations all demand increasingly flexible formulations. Traditional recipe development, however, is too slow to meet these demands. From planning and testing to the final adjusted formulation, the process often takes weeks and ties up valuable laboratory capacity. As a result, the response to changing market conditions is simply too sluggish – leading to missed opportunities.

AI-based recipe development at Dorfner: Algorithms generate the optimal formulation, while the human expert reviews and finalizes the result.

AI-based recipe development at Dorfner: Algorithms generate the optimal formulation, while the human expert reviews and finalizes the result.

AI-based recipe development at Dorfner: Algorithms generate the optimal formulation, while the human expert reviews and finalizes the result.
AI-based recipe development at Dorfner: Algorithms generate the optimal formulation, while the human expert reviews and finalizes the result.

How did you integrate the AI platform into your development processes? How do the laboratory and AI work together today to identify the best coating formulations?

The AI acts as an upstream digital twin of our laboratory. All tests that we can carry out physically can also be simulated there. This enables recipe development at the push of a button. We simply define the target properties the coating must achieve, and the AI generates the precise formulation based on these requirements. The developer then only needs to filter and review the final recipe. For standard requests, the laboratory step is now completely eliminated, as the AI delivers accurate results in around 90 percent of cases. If laboratory work is required, we upload the resulting formulations to the platform and further train the system, allowing the AI to continuously improve.

 

What quantifiable improvements have you already achieved – for example in development time, material usage, waste reduction, or sustainability?

What used to take around nine weeks can now be completed in just one day – with virtually no material usage and no resulting waste. At the same time, the quality of the final formulation improves significantly. In the best case, it has a lower carbon footprint, is more cost-efficient, and even enables the increased use of new, recyclable materials. Overall, we can no longer imagine our work today without the AI tool.

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