Change is the only constant in supply chain and often can cloud our visibility. ChainLink Research examines the need for accepting change and the importance of discovery as two foundations to help supply chain teams move forward and succeed in their use of artificial intelligence (AI) and machine learning (ML). As supply chainers we have learned and already codified much about every little grain of data about physical inventory and its dimensions, where it can be stored, and various routes to get it to the customer. However, there is so much more data that must be turned into actionable insights. The goal of the article, AI / Machine Learning for Supply Chain – Into the Future, is to examine what the new machine learning-enabled supply chain team should do to set the stage for now and in the future.