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AI is changing supply chain, transport, and logistics using neural networks to improve decisions. It helps with real-time analysis, route planning, and demand prediction. A bibliometric analysis with Scopus data was performed, using VOSviewer and Biblioshiny to track trends, citations, and new themes in AI for these fields. The focus was on areas like warehouse automation, self-driving logistics, and smart transportation, while also tackling data security and ethical issues. By finding key research and gaps, this paper shows how AI can shape the future of these industries.

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Emerging Research Themes in AI-Based Supply Chains, Transportation and Logistics: A Bibliometric Analysis

  • 会议论文

  • 发表日期：

    2026年

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  • Vipul Lanjewar,
  • Sourish Joshi,
  • Sujata Joshi,
  • Menachem Domb

摘要

AI is changing supply chain, transport, and logistics using neural networks to improve decisions. It helps with real-time analysis, route planning, and demand prediction. A bibliometric analysis with Scopus data was performed, using VOSviewer and Biblioshiny to track trends, citations, and new themes in AI for these fields. The focus was on areas like warehouse automation, self-driving logistics, and smart transportation, while also tackling data security and ethical issues. By finding key research and gaps, this paper shows how AI can shape the future of these industries.