Ongoing optimization Machine learning enables the attainment of goals over to achieve outcomes time by self-learning, predicting, prescribing, and optimizing supply chain performance automatically across the functions. Automation can flag and resolve exceptions in real time. Machine learning-based algorithms can predict these exceptions and supply chain outcomes. As the nature of the exception or resolution process changes over time, cognitive computing learns and adapts to it. This enables supply chains to handle more complexity, making them more dynamic, flexible, adaptive, and efficient. Intelligent technologies—fueled by end-to-end data—can add essential value to a supply chain organization. Not only do they unify the supply chain, creating new efficiencies and operational capabilities, they unlock capital to reinvest in new business models that enrich customer experiences, build competitive advantage, and support profitable growth. Explore how Accenture is helping power more intelligent supply chains with analytics and AI. Visit www.accenture.com/ai-for-business-transformation INTELLIGENT SUPPLY CHAIN REINVENTING THE SUPPLY CHAIN WITH AI 9