Leveraging Artificial Intelligence to Advance Sustainability and Resource Management in Supply Chains

Abstract

This research investigation examines ways artificial intelligence (AI) could enhance supply chain sustainability with a focus on resource efficiency and values of the circular economy. For the purpose of exploring AI applications in waste mitigation, logistics optimization, and handling product lifecycle, the study employs a systematic literature review of scientific documents from the Scopus database. AI's contribution to decision-making processes, such as resource preservation systems, and closed-loop manufacturing processes, is emphasized. The paper presents an accurate assessment of AI's benefits and drawbacks in sustainable supply chains by tackling issues including data quality, ethical concerns, and potential rebound outcomes. The results reveal that AI can serve as a catalyst towards encouraging environmentally conscious industrial practices, supporting evidence-based business strategies and shaping laws and regulations to promote the shift. By highlighting AI's ability to effectively use resources while supporting responsible production and consumption, the current research further contributes to the current topic over AI's value as an important enabler of sustainability instead of solely a technological solution.