Through this research, one concept that stood out to me was the implementation of big data analytics in reverse logistics. I had previously associated big data primarily with demand forecasting and inventory management on the forward side of the supply chain, but I've come to understand that its role in reverse processes is just as vital. Big data can help identify patterns in returns, track equipment lifecycle usage, and optimize decisions regarding reuse, repair, or disposal. This is especially important in military environments where timely and accurate data on returned materials can lead to better resource allocation, reduced operational costs, and improved readiness. As a buyer for Pratt & Whitney Engines, this knowledge has real-world application. Understanding how big data enables visibility and predictive analysis in reverse logistics can help me better assess supplier performance, manage surplus materials, and coordinate repair parts flows, key tasks in sustaining aviation readiness and minimizing downtime. It will also allow me to contribute more strategically to conversations around data-driven supply chain improvements, both internally and with our military and government clients