The Changing Role of Logistics and Supply Chain in The Digital World

Purpose – The use of generative artificial intelligence (GenAI) can potentially revolutionize ‎logistics and supply chain management (SCM) practices. This research provides an analysis of ‎how GenAI, huge language models (LLMs), are redefining SCM's operational and ‎strategic aspects.‎ Design/methodology/approach – A mixed-methods approach, incorporating case studies, industry surveys, and performance data analysis, is employed to investigate the inclusion of LLMs in logistics and SCM operations across various industries, including retailing, manufacturing, and healthcare.‎ Findings – The preliminary findings suggest that incorporating GenAI and LLMs into SCM ‎systems enhances the speed of decision-making by 35%, accuracy of demand forecasting by ‎‎25%, and lowers logistics costs by 18%. Major innovations are dynamic route optimization, real-time inventory management, and customized customer service through AI-powered interfaces.‎ Originality/value – The research makes an original contribution towards the digital evolution of ‎SCM and logistics by presenting a systematic approach to using LLMs. It highlights strategic ‎recommendations for managers who wish to future-proof supply chains‎.

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Publication Details

Journal
International Journal of Accounting and Economics Studies
Published
2025-09-22
DOI
https://doi.org/10.14419/v5xj8865
Primary Topic
Global Trade and Competitiveness
Type
article
Field-Weighted Citation Impact
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article

The Changing Role of Logistics and Supply Chain in The Digital World

Saloni Devi, M. Subramanyam, P. Sreenivas, Chanduri Kiranmayi et al.
International Journal of Accounting and Economics Studies
Global Trade and Competitiveness
article

The Changing Role of Logistics and Supply Chain in The Digital World

Saloni Devi, M. Subramanyam, P. Sreenivas, Chanduri Kiranmayi, Kahmeera Shaik, Sk. Mabunni
article en

Abstract

Purpose – The use of generative artificial intelligence (GenAI) can potentially revolutionize ‎logistics and supply chain management (SCM) practices. This research provides an analysis of ‎how GenAI, huge language models (LLMs), are redefining SCM's operational and ‎strategic aspects.‎ Design/methodology/approach – A mixed-methods approach, incorporating case studies, industry surveys, and performance data analysis, is employed to investigate the inclusion of LLMs in logistics and SCM operations across various industries, including retailing, manufacturing, and healthcare.‎ Findings – The preliminary findings suggest that incorporating GenAI and LLMs into SCM ‎systems enhances the speed of decision-making by 35%, accuracy of demand forecasting by ‎‎25%, and lowers logistics costs by 18%. Major innovations are dynamic route optimization, real-time inventory management, and customized customer service through AI-powered interfaces.‎ Originality/value – The research makes an original contribution towards the digital evolution of ‎SCM and logistics by presenting a systematic approach to using LLMs. It highlights strategic ‎recommendations for managers who wish to future-proof supply chains‎.

International Journal of Accounting and Economics StudiesVol. 12(5)
Jawaharlal Nehru Technological University, Kakinada (IN), Guntur Medical College (IN), Andhra Pradesh Forest Department (IN), Yogi Vemana University (IN), Koneru Lakshmaiah Education Foundation (IN)
Openalex Percentile: Top 62%
Global Trade and Competitiveness
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