Abstract

The increasing complexity of modern supply chains necessitates the adoption of digital tools to enhance efficiency, resilience, and decision-making. This study explores the application of digital technologies in optimizing supply chain processes, focusing on key innovations such as Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, Big Data Analytics, and Cloud Computing. The research investigates how these technologies contribute to demand forecasting, inventory management, real-time tracking, risk mitigation, and overall operational efficiency. By leveraging a systematic review of existing literature and case studies from diverse industries, the study identifies best practices and challenges in implementing digital tools for supply chain optimization. Findings highlight the role of AI-driven predictive analytics in demand and supply planning, the impact of blockchain in ensuring transparency and security, and the effectiveness of IoT-enabled tracking systems in reducing disruptions. Additionally, the research examines how cloud-based platforms facilitate seamless collaboration among supply chain stakeholders, improving agility and responsiveness. Despite the evident benefits, the adoption of digital tools faces barriers such as high implementation costs, cybersecurity risks, and integration challenges with legacy systems. The findings contribute to the growing body of knowledge on digital supply chain management, and offer insights for policymakers, industry practitioners, and researchers that are exploring future trends in supply chain digitalization.