Role of Artificial Intelligence in Sustainable Supply Chain Management
DOI:
https://doi.org/10.65477/ijmdas.2025.v1.i1.06Keywords:
Artificial Intelligence, Sustainable Supply Chain Management, Green Logistics, Predictive Analytics, Industry 4.0.Abstract
The growing environmental concerns, regulatory forces and stakeholder expectations have also become a strategic mandate in contemporary supply chain management because of the issue of sustainability. AI has the potential to revolutionize the supply chain processes to achieve sustainability in efficiency, transparency, and decision-making. This research paper discusses how AI is used to facilitate sustainable supply chain management (SSCM) using predictive analytics, intelligent automation, and live optimization. The study is based on a hybrid paradigm that combines previous theoretical knowledge with a simulated dataset that replicates the actual supply chain conditions to examine the effects of AI-based applications on environmental performance, economic performance and social performance in terms of sustainability. The results indicate that AI adoption has a great impact on resource efficiency, carbon emissions, demand forecasting, and responsible sourcing. The paper adds to the ever-increasing literature on SSCM by suggesting AI-powered sustainability framework and managerial implications in implementing intelligent supply chains in dynamic business environments.
