The Internet of Things (IoT) generates massive amounts of data daily, which can be analyzed in real-time to help businesses address consumer demands. Supply chain management is a key example of IoT's impact on manufacturing industries, where advanced methods for ingesting and analyzing IoT data are necessary due to the complexity of warehouse operations. Companies must adapt their strategies to include predictive analytics, as descriptive analytics alone is no longer sufficient. MemEx, a showcase application developed by Gartner, demonstrates how enterprises can implement predictive analytics to improve logistical operations. By harnessing sensor data from production lines and conveyor belts, supply chain organizations can predict throughput and plan accordingly. MemEx's architecture incorporates advanced technologies such as Apache Spark, SingleStore database platform, and JavaScript-based User Interface, enabling real-time analysis and prediction of warehouse states. The application enables enterprises to react to their businesses in real time, make supply adjustments, and drive revenue by predicting risk of production failures. As the future of supply chain management depends on predictive analytics, MemEx provides a realistic view into the capabilities of using real-time applications with predictive analytics.