Machine Learning in Procurement is the use of automated processes to improve supply chain and acquisition process efficiency. It involves using predictive algorithms to analyze data about prices, vendors, inventory, and other aspects of the procurement process. By making use of Machine Learning technologies such as neural networks and natural language processing, organizations can save time, money, and resources by better assessing risks and making more informed decisions throughout the procurement process.