Ensuring resilience and transparency in supply chain (SC) operations has become crucial in today's dynamic and complicated global business environment, particularly in the Fast-Moving Consumer Goods (FMCG) industry. Disruptions like the COVID-19 pandemic have highlighted the weaknesses of SCs, stressing the necessity for proactive initiatives to improve adaptation and visibility. By defining the key success factors (CSFs) that support resilience and transparency in SCs and investigating the role of developing digital technologies, most specifically AI, in accomplishing these goals, this study seeks to solve these issues. This study systematically finds, ranks, and assesses CSFs and their compatibility with cutting-edge technologies using a hybrid methodology that combines DEMATEL, the Best–Worst Method (BWM), and the VIKOR technique. This study highlights AI's unique potential to promote moral decision-making, increase accountability, and improve predictive and adaptive skills. It also presents AI as a transformational facilitator. AI is distinguished from conventional technology by these qualities, which also establish it as a fundamental component of transparent, robust, and sustainable SCs. This study fills a significant gap in the literature by integrating ethical AI holistically within a larger framework of digital technology. By connecting theoretical understanding with real-world implementations, the study adds to the growing conversation around SC transparency and resilience, especially in the FMCG sector. Important results show that using AI gives SCs a competitive edge in negotiating ambiguities and disruptions by allowing them to strike a compromise between operational effectiveness and moral concerns. Through the creative application of cutting-edge digital technologies, the study offers practical insights for both practitioners and scholars, laying the groundwork for more robust and transparent SC ecosystems.