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Purpose of Review <p>Artificial intelligence (AI) and machine learning (ML) techniques are widely used in biomedical research, engineering research, finance, economics, and food packaging technology. This review highlights various applications of AI and ML techniques in food packaging industries.</p> Recent Findings <p>Global packaging conglomerates are utilizing AI and ML-trained models to remain competitive in the packaging market and improve the experience of packaging resulting in enhanced consumer relationships.</p> Summary <p>Manual packaging and supply chain optimization (SCOp) operations in packaging industries are time-consuming, inefficient, and non-standardized. Adapting AI, ML, and deep learning techniques for packaging and SCOps operations has significantly enhanced the overall efficiency of packaging industries. This review highlights the key takeaways, providing insight into AI, ML, and deep learning techniques adapted for packaging operations and SCOp. AI and ML pervade all packaging domains, and supply chain operations indicate transformative system changes. The discussion reflects AI, ML, and deep learning as potential tools to change traditional quality inspection, packaging, label design, fraud detection, and SCOp processes. AI and ML-based solutions introduced by Coca-Cola and Amazon have been thoroughly reviewed. Finally, this paper concluded with challenges and future recommendations for integrating advanced AI and ML-based tools into packaging and supply chain optimization operations.</p>

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Packaging 4.0: Artificial Intelligence and Machine Learning Applications in the Food Packaging Industry

  • 期刊论文

  • 发表日期：

    2025年6月13日

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  • Lokesh Kumar,
  • Richa Dutt,
  • Kirtiraj K. Gaikwad

摘要

Purpose of Review

Artificial intelligence (AI) and machine learning (ML) techniques are widely used in biomedical research, engineering research, finance, economics, and food packaging technology. This review highlights various applications of AI and ML techniques in food packaging industries.

Recent Findings

Global packaging conglomerates are utilizing AI and ML-trained models to remain competitive in the packaging market and improve the experience of packaging resulting in enhanced consumer relationships.

Summary

Manual packaging and supply chain optimization (SCOp) operations in packaging industries are time-consuming, inefficient, and non-standardized. Adapting AI, ML, and deep learning techniques for packaging and SCOps operations has significantly enhanced the overall efficiency of packaging industries. This review highlights the key takeaways, providing insight into AI, ML, and deep learning techniques adapted for packaging operations and SCOp. AI and ML pervade all packaging domains, and supply chain operations indicate transformative system changes. The discussion reflects AI, ML, and deep learning as potential tools to change traditional quality inspection, packaging, label design, fraud detection, and SCOp processes. AI and ML-based solutions introduced by Coca-Cola and Amazon have been thoroughly reviewed. Finally, this paper concluded with challenges and future recommendations for integrating advanced AI and ML-based tools into packaging and supply chain optimization operations.