Smart Supply Chain management for Sustianble Business Administrations

The integration of smart supply chain technologies has emerged as a catalyst for reshaping the landscape of sustainable business administrations. This paper presents a comprehensive investigation into the dynamic relationship between smart supply chains and sustainability, examining their intricate interplay and the transformative potential they hold for modern supply chain management. Leveraging an ensemble of three machine learning models—Decision Trees, Support Vector Machines, and Logistic Regression—we analyze extensive datasets encompassing supply chain operations. Our findings demonstrate that the strategic deployment of smart technologies enhances predictive accuracy, informs data-driven decision-making, and optimizes supply chain processes. This research underscores the pivotal role of smart supply chains in achieving sustainability objectives. By fusing predictive accuracy with data-driven decision-making, our research underscores the pivotal role of smart supply chains in achieving sustainable business practices. The insights presented herein offer not only academic contributions but also actionable guidance for businesses navigating the intricacies of modern supply chain management.