The Impact of AI in Supply Chain Resilience: A Systematic Mapping Review

Supply chain resilience has gained significant attention in recent years due to the increasing frequency and severity of disruptions such as natural disasters, disruption, conflict, and pandemic. Supply chain resilience enhancement through Artificial Intelligence (AI) is an emerging research area. This paper presents a systematic mapping review to considerate the existing body research on the impact of AI technologies in improving supply chain resilience. Through a structure analysis of relevant studies, this review categorizes AI application in various supply chain function and identifies trends, challenges, and gaps in the literature. The findings reveal that AI, practically machine learning, predictive analytics, and automation, has a notable impact on enhancing flexibility, agility, and responsiveness in supply chains. However, there is limited research on the integration of AI with human decision-making processes and the long-term robustness of AI driven supply chains. The paper concludes by identifying future research directions and practical implications for business aiming to enhance supply chain resilience using AI.