AI Enables Data-Driven Product Design

Abstract The article explores how artificial intelligence (AI) and machine learning are enabling new paradigms in product design and development. It discusses how AI-powered „copilot“ systems can provide natural language access to specialized knowledge and automate complex workflows, flattening the learning curve for design software. The article also examines how embedding AI directly into design tools can capture expert knowledge, simplify the user experience, and provide intelligent recommendations. Furthermore, it delves into how AI-powered reduced order models (ROMs) can rapidly simulate design concepts, accelerating the design iteration process. The article envisions a future where custom AI models trained on proprietary data could enable fully autonomous, generative design – from initial concept to final optimized design. Overall, the article highlights the transformative potential of AI in redefining the design process and accelerating innovation.

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Publication Details

Journal
Zeitschrift für wirtschaftlichen Fabrikbetrieb
Published
2025-03-20
DOI
https://doi.org/10.1515/zwf-2025-0004
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Enables Data-Driven Product Design

J. D. Brett. Hodges
Zeitschrift für wirtschaftlichen Fabrikbetrieb
BIM and Construction Integration
article

AI Enables Data-Driven Product Design

J. D. Brett. Hodges
article en

Abstract

Abstract The article explores how artificial intelligence (AI) and machine learning are enabling new paradigms in product design and development. It discusses how AI-powered „copilot“ systems can provide natural language access to specialized knowledge and automate complex workflows, flattening the learning curve for design software. The article also examines how embedding AI directly into design tools can capture expert knowledge, simplify the user experience, and provide intelligent recommendations. Furthermore, it delves into how AI-powered reduced order models (ROMs) can rapidly simulate design concepts, accelerating the design iteration process. The article envisions a future where custom AI models trained on proprietary data could enable fully autonomous, generative design – from initial concept to final optimized design. Overall, the article highlights the transformative potential of AI in redefining the design process and accelerating innovation.

Zeitschrift für wirtschaftlichen FabrikbetriebVol. 120(s1)
Siemens (Germany) (DE), Software (Germany) (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 95%
BIM and Construction Integration
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AI Enables Data-Driven Product Design — J. D. Brett. Hodges · Zeitschrift für wirtschaftlichen Fabrikbetrieb (2025) | TGRS Research Map | TGRS