Review of Innovative Applications of Artificial Intelligence Generated Content in Packaging Engineering

LI Gongwei

Packaging Engineering ›› 2025, Vol. 46 ›› Issue (23) : 253-263.

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Packaging Engineering ›› 2025, Vol. 46 ›› Issue (23) : 253-263. DOI: 10.19554/j.cnki.1001-3563.2025.23.027
Automatic and Intelligent Technology

Review of Innovative Applications of Artificial Intelligence Generated Content in Packaging Engineering

  • LI Gongwei
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Abstract

The work aims to explore innovative application pathways for Artificial Intelligence Generated Content (AIGC) technology in packaging engineering, to tackle challenges such as insufficient interdisciplinary integration in domestic and international research and the lag in sustainable material development, thereby driving intelligent packaging upgrades and green development and addressing the packaging industry's demands for personalization, intelligence, and sustainability. By analyzing the current research landscape domestically and internationally, the study elucidated the application logic of AIGC technology across the entire packaging workflow - encompassing packaging design, material R&D, quality inspection, logistics supply chain, and sustainable development. Specifically, it examined its role in process efficiency enhancement, material property analysis, visual defect detection, supply chain optimization, and waste circularity. A technology application framework was constructed based on data-driven approaches and algorithmic optimization. AIGC applications demonstrated significant outcomes: enhanced packaging design efficiency and personalized customization capabilities; accelerated sustainable material development cycles; markedly improved accuracy in quality inspection; effective reduction of material waste within the logistics supply chain; and the establishment of a closed-loop eco-system integrating "design-recycling". AIGC technology provides crucial technical support for packaging engineering, shifting the industry from an "experience-based design" paradigm towards "algorithmic optimization" and "precision sustainability". By enabling intelligent optimization and driving sustainable development, AIGC holds key value in enhancing the packaging industry's competitiveness and environmental benefits.

Key words

AIGC / packaging engineering design optimization / intelligent packaging / sustainable packaging

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LI Gongwei. Review of Innovative Applications of Artificial Intelligence Generated Content in Packaging Engineering[J]. Packaging Engineering. 2025, 46(23): 253-263 https://doi.org/10.19554/j.cnki.1001-3563.2025.23.027

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