Image by Tumisu from Pixabay Have you ever given a thought to applying machine learning and other types of AI to the terabytes of transactional and sensor data being collected from the supply chain? The time is here and the amazing result you get will definitely be a much more autonomous and effective form of supply chain analytics, supply chain management, and, ultimately, an overwhelming as well as highly responsive supply chain. David Simchi-Levi, a professor of engineering systems at MIT says, “In fact, there is a lot of interest in using AI and machine learning to enhance supply chain analytics.” Where your concentration should be in the supply chain is the opportunity to be able to integrate predictive and prescriptive analytics, which in essence, translates to blending AI and optimizing technologies. The competition in the global market has become very stiff and you need to take every worthwhile opportunity that comes your way in order to continue to be relevant. The two areas you can efficiently apply AI in your supply chain are, to enable predictive analytics to understand behaviors and for prescriptive analytics, thereby, allowing optimization technologies to take input from machine learning and try to help your brand to make…
