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Developing a Framework for Using Generative AI in Product Design

In: Emerging Technologies in Supply Chains

Author

Listed:
  • Tung Nhu Nguyen

    (International University–Vietnam National University Ho Chi Minh City, School of Business)

Abstract

Visually appealing product images are likely to positively impact online purchase behavior. This chapter presents a framework using Google Colab with Gemini and Vertex AI to create attractive product images, reducing design time and increasing personalization. Compared to models like Midjourney, it is more reliable by training on secondary and primary user data. Designers input simple text, and the AI generates a high-quality product image in seconds, which can be tailored iteratively. An example of bicycle design validated the output’s aesthetics and personalization. Improvement features include gender considerations and ergonomics. The model is fast, simple, customizable, and suitable for non-technical users, but still requires human input to fix imperfections and address risks.

Suggested Citation

  • Tung Nhu Nguyen, 2026. "Developing a Framework for Using Generative AI in Product Design," International Series in Operations Research & Management Science, in: Yacob Khojasteh & S.M. Mousavi Jahan Abadi (ed.), Emerging Technologies in Supply Chains, chapter 0, pages 381-407, Springer.
    • Handle: RePEc:spr:isochp:978-3-032-01218-0_15
    DOI: 10.1007/978-3-032-01218-0_15
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