Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{174513,
        author = {Arikta Singh and Rajveer Pathak and Mukul Nag and Jyotirmay Kumar Jha and Riddhi Vishwakarma and Prashank Kumar Gupta},
        title = {THE ROLE OF AI IN SUPPLY CHAIN RESILIENCE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {4463-4474},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174513},
        abstract = {The rapid integration of Artificial Intelligence (AI) in supply chain management is transforming logistics, risk mitigation, and decision-making. This study examines AI's impact on supply chain resilience, analyzing responses from 140 participants across various industries. Key factors such as automation, predictive analytics, and digital twins are driving efficiency, reducing operational costs, and improving supply chain visibility. Findings reveal that while AI enhances risk forecasting and optimizes inventory management, challenges such as high implementation costs, data security concerns, and workforce adaptation hinder widespread adoption. Despite these obstacles, respondents acknowledge AI’s ability to minimize disruptions, increase sustainability, and improve real-time decision-making. However, skepticism remains regarding AI-driven job displacement and ethical transparency in decision-making. The study underscores the importance of regulatory frameworks, human-AI collaboration, and scalable AI solutions to address these concerns and foster trust. By leveraging blockchain for secure transactions and focusing on user-friendly AI applications, businesses can enhance their supply chain resilience while ensuring ethical AI deployment. This research highlights the transformative potential of AI in revolutionizing supply chains and calls for strategic policy interventions and adaptive workforce training to enable widespread AI adoption.},
        keywords = {AI-driven logistics, Predictive analytics in supply chains, Digital twins in business, AI ethics in supply chain management, Supply chain resilience},
        month = {March},
        }