Today's supply chains are global networks that require sophisticated management strategies to ensure efficiency, sustainability, and resilience. The complexities of managing transportation logistics, warehouse operations, materials handling, global supply chain intricacies, and network design demand advanced analytical approaches. This discussion aims to uncover how data analytics tools can be leveraged across these areas to drive strategic decisions and operational improvements.Data Analytics Tool Demonstration: Highlight a specific data analytics tool (e.g., Python for data analysis, R for statistical computing, Tableau for data visualization, or Excel for data manipulation) and demonstrate how it can be applied to one of the sectors mentioned above. Include a brief tutorial or example to illustrate its application. Engage with a peer's demonstration by adding an additional use case for the tool within the context of supply chain management or by sharing insights on alternative tools that could also be beneficial for the highlighted sector