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Practical project with Wilken and Wieland: students develop innovative concepts for real-life business challenges

17.10.2025, Study:

As part of the Master's lecture "Business Value Creation with IT", around 65 students from the Strategic Information Management (SIM) and Artificial Intelligence and Data Analytics (AIDA) degree programmes at Neu-Ulm University of Applied Sciences (HNU) worked on practical challenges faced by companies. In interdisciplinary teams, they developed innovative solutions for real business challenges posed by the Wilken Software Group and the Wieland Group. The best concepts were then presented directly to the practice partners - with an impressive response.

For Wilken, the teams worked on challenges from the supply sector, while Wieland presented business challenges from production and sales.

Challenge from the Wilken Software Group: Strong concepts for the utilities industry

In the AI challenge with Wilken, the students developed innovative approaches to explain complex electricity bills in an understandable way while reducing service costs. The final pitches. The result: mature prototypes with real innovation potential. The teams impressed with the following ideas:

Low barrier to entry through WhatsApp: an intuitive solution that communicates directly via the popular messenger.

Proactive consumption analysis & warning system: Intelligent analyses with comparative values and warnings in the event of anomalies.

Visualisation & branding: Colour-supported invoices and a consistent design from the pitch deck to the user interface.

Challenge der Wieland Group: Multi-Agenten-Systeme

Among other things, the students designed a multi-agent system for Wieland that automatically recommends the optimal production site for each order based on cost and time and documents any deviations from this recommendation and escalates the decision for approval and/or explanation. This creates transparency and traceability in production planning, which can then be further optimised.

The students have also developed IntelFlow, an AI-supported multi-agent system designed to improve the entire customer visit lifecycle. The modular open-source solution uses various AI agents (Analyser, Retriever, Summarizer, Signal Miner, Action Planner, Engagement Trigger) to automatically analyse visit reports, identify trends and generate structured insights. The system enables AI-powered preparation, structured note-taking during visits and automated follow-up with action plans, improving forecasting accuracy, customer retention and strategic decision-making.

"While others are often still chasing the AI hype, our students are showing how real digital solutions are created: through a deep understanding of the problem, strategic thinking and technological expertise," says Prof Dr Andy Weeger, course director and initiator of the project.

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Prof. Dr. Andy Weeger