Three AI-Powered Technologies To Battle Supply Chain Disruptions
AI technologies such as machine learning have become an industry standard for supply chain forecasting and planning. However, the recent global pandemic, geopolitical situation and climate change caused unprecedented disruptions that challenge even the savviest supply chain leaders. Join Dr. Devavrat Shah, professor and a director of Statistics and Data Science Center at MIT and a CTO and co-founder of Ikigai Labs (ikigailabs.io), to learn how AI and data can help you reduce variability and optimize inventory levels. In this webinar, Devavrat will explain three innovative technologies and demonstrate their application to real-world supply chain problems, specifically: - How multivariate time series forecasting helps predict demand when large sets of historical data are not available - How to use reinforcement learning to optimize your supply chain operations for your desired business outcomes - What is DeepMatch and how it helps stitch together data from any sources