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Automated Development of Technical Design Variants

Use Case Family

GenAI, Chatbot, Predictive Analytics & Forecasting, Computer Vision

Business Domain

R&D

Processes

Product Development and Design Iteration

Challenge

Traditional product design processes are time-consuming, cost-intensive, and prone to human error. Incorporating all technical constraints and customer requirements often requires multiple inefficient iterations, slowing down innovation and increasing costs.

Solution

Generative AI creates multiple design alternatives that align with defined constraints, engineering rules, and product goals. The AI evaluates each option based on efficiency, material usage, and feasibility – enabling data-driven decision-making throughout the design process.

Benefits

  • Faster time-to-market through automated design generation
  • Reduced rework and optimized resource usage
  • Increased innovation through AI-powered design ideas
  • Improved product quality and engineering productivity

Target Group

R&D Teams Product Design Engineers Innovation Managers

Potential Industries

Mechanical Engineering Automotive Consumer Goods Industry

Risk Classification (EU AI Act)

No Risk
No Risk systems Art. 50
with Transparency Obligations according Art. 50 EU AI Act

Disclaimer

The information provided regarding the risk assessment is without guarantee. The complete classification of a use case according to the EU AI Act depends on numerous regulatory and company-specific factors. Therefore, the risk assessment is always case-specific. The risk assessment logic of Casebase is used for this purpose.