Managing the large volume of products across a supply chain process requires the most recent and best available data. Manufacturers rely on various connected systems to forecast which products customers want and need. Many are leveraging this streaming (real-time) data to alleviate the challenges in supply chain management. However, real-time (streaming data) has unique traits that separate it from other types of data used in ML models. These unique traits are what make it difficult for ML models to analyze the data. Leveraging platforms designed specifically for real-time computational tasks helps to streamline your data analysis.
Explore these topics in the Industry Today article “Integrating Real-Time Data into the Supply Chain”.
