Developing an AI Trend Radar for Product Development

Institut

Lehrstuhl für Produktentwicklung und Leichtbau

Typ

Semesterarbeit / Masterarbeit /

Inhalt

theoretisch / konstruktiv /  

Beschreibung

Motivation

Product development is undergoing a fundamental transformation: Artificial Intelligence opens up new opportunities – from automated concept generation and simulation-driven design processes to intelligent quality management.
While companies recognize the potential, there is a lack of systematic approaches to identify relevant trends early, assess their maturity, and translate them into practical applications.
This Master’s thesis offers the opportunity to build a structured framework for an AI Trend Radar in product development and to derive actionable recommendations for industry practice.

(Possible) Tasks:

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• Identify and classify current and emerging AI trends relevant for product development

• Assess the maturity, application fields, and business impact of these trends using foresight methods

• Validate findings through expert interviews and case-based evidence (optional)

• Develop and visualize a domain-specific AI Trend Radar for product development

• Derive strategic recommendations for industrial adopt

Expected Results

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• Structured overview of relevant AI trends in product development

• A validated AI Trend Radar visualizing maturity and business value

• Practical recommendations for the integration of AI trends into development processes

Language

English or German

 

Contact

If you are interested, please apply by submitting your current CV and transcript of records. For applications or further questions, kindly contact the person listed below:

Lucien Zapfe
Lucien.Zapfe@tum.de

 

Voraussetzungen

Your Profile

• Initiative and creativity

• Strong interest in AI, digitalization, and technology foresight

• Analytical mindset with the ability to combine qualitative and quantitative researc

Möglicher Beginn

sofort

Kontakt

Lucien Zapfe
lucien.zapfetum.de

Ausschreibung