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Data & AI Use Cases in Operations

Generative AI for Automated Development of Technical Design Variants

Use Case Use Case Family: GenAI, Predictive Analytics & Forecasting
Business Domain Business Domain: R&D
Process 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 Target Group:
R&amp D Teams Product Design Engineers Innovation Managers
Potential Industries Potential Industries:
Mechanical Engineering Automotive Consumer Goods Industry
Limited Risk
Limited Risk systems Art. 6 Annex III; 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.