How Machine Learning and Generative AI Are Enabling the Autonomous Supply Chain

To achieve Resilience in their Value Chains, organizations are looking to drive greater speed in decision making, agility in responding to changes and cross-functional collaboration and move away from the siloed and linear processes that are common today. As organizations strive towards driving digitalization of their operations and processes, what started as exploration of ML and Gen AI in Supply Chain management, is now a reality and gaining adoption. As companies experience manpower and talent shortages, they are looking at ML and AI to drive greater automation and productivity improvements.This chapter will cover three primary areas in-depth with examples from the supply chain area: 1) What are Autonomous Supply Chains and why they are important 2) Applications of ML and Gen AI in Supply Chain Management, and how this is a key enabler to Autonomous Supply Chains 3) The Evolution of AI and ML powered by the rapid advancements in computing technology, and its supply chain and its geo-political implications