Sustainable Synergy: How AI Transforms Supply Chains into Green Supply Chains

Abstract

Purpose: The article aims to investigate the strategic use of convergence between Artificial Intelligence (AI) and Supply Chain Management (SCM) by businesses to promote sustainability throughout the supply chain. Its emphasis AI’s capacity to tackle triple-bottom-line concerns – resource efficiency, environmental stewardship, and social responsibility- by streamlining operations, minimising carbon footprints and promoting “green” activities within supply networks. The goal is to give companies a complete guidance on how to use AI-powered technologies to improve sustainability and operational performance, which will make their supply chain stronger and better for the environment.

Design/Methodology/Approach: The study utilises a conceptual framework to systematically review existing literature, creating insights from various array of recent journal publications, with a particular focus on those examining the application of AI in the supply chain processes through the lens of Environmental Social and Governance criteria (ESG). The study consists of qualitative and quantitative assessments and utilises pertinent case studies to show optimal practices in the application of AI for sustainable supply chain management.

Findings: The review reveals that AI technologies help make supply chains more sustainable by allowing real-time tracking, predictive analytics, an automated decision-making. AI-powered solutions make productions, inventory, transportation, and logistics more efficient. This cuts down on pollution, waste, and resource utilisation. Examples from companies show that top enterprises that use AI see improvements in operational efficiency and environmental sustainability. They benefit from better process transparency and more flexible resource allocation.

Originality / Value: This study gives a complete and in-depth view a how AI might help supply chains be more environmentally friendly and socially responsible. It also gives useful advice for both researchers and people who work in the field. Its distinctive value resides in its comprehensive and current literature synthesis, thorough analysis of ESG catalysts technological barriers, and incorporation of case-base insights.

Paper Type: Theme Based Paper