• ABHINAV PANWAR
• VIVEK KOUSHIK

Artificial intelligence (AI) has been considered an important enabler of supply chains (SC), as it helps to monitor SC competitiveness and management. Thus, AI has been gaining notability in management. However, no academic manuscript offers a detailed study of specific artificial intelligence techniques. Indeed, several existing reviews in this field provide considerable insight, but are often too general. The integration of artificial intelligence (AI) into green supply chain management has gained considerable attention as a promising approach to achieving sustainability goals while increasing operational efficiency. This article presents a comprehensive overview of the application of artificial intelligence techniques in the context of green supply chain management. Drawing on a wide range of scholarly literature, the abstract highlight’s key themes and findings regarding the implementation of AI technologies in optimizing various aspects of the green supply chain, including sourcing, manufacturing, transportation and distribution. The abstract also explores the potential benefits and challenges associated with the implementation of artificial intelligence in green supply chain practice, highlighting its role in reducing carbon emissions, minimizing waste and supporting green manufacturing processes. Additionally, the abstract discusses emerging trends, future research directions, and practical implications for organizations seeking to use AI for sustainable supply chain management. Overall, this paper contributes to the understanding of the transformative impact of AI on green supply chain practices and offers valuable insights for researchers, practitioners, and policy makers.

AI, green supply chain, future Research

"AI in Green Supply Chain Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.c749-c766, April-2024, Available :http://www.jetir.org/papers/JETIR2404282.pdf

"AI in Green Supply Chain Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppc749-c766, April-2024, Available at : http://www.jetir.org/papers/JETIR2404282.pdf