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Future Trends and Outlook: The Intersection of Generative AI and Emerging Technologies in Supply Chains

EasyChair Preprint 13084

13 pagesDate: April 25, 2024

Abstract

This abstract delves into the future trends and potential disruptions that may arise from

the integration of generative artificial intelligence (AI) with emerging technologies in

supply chain management. Specifically, it explores the convergence of generative AI with

robotics, Internet of Things (IoT), edge computing, and other emerging technologies, and

discusses how these intersections may shape the future of supply chain management. Generative AI, with its ability to synthesize data and simulate scenarios, is poised to play

a transformative role in supply chain management. By leveraging generative AI

algorithms, organizations can optimize decision-making processes, streamline operations, and enhance resilience in the face of disruptions. However, the future of supply chains

will be characterized by the integration of generative AI with a diverse array of emerging

technologies, leading to novel applications and unprecedented opportunities for innovation

Keyphrases: Future Trends Outlook, Generative AI, supply chains

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:13084,
  author    = {Dylan Stilinski and Lucas Doris and Louis Frank},
  title     = {Future Trends and Outlook: The Intersection of Generative AI and Emerging Technologies in Supply Chains},
  howpublished = {EasyChair Preprint 13084},
  year      = {EasyChair, 2024}}
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