Intelligent technologies and connected end-to-end data, when combined and scaled, can add immense value to any company’s supply chain. The combination unifies the supply chain, creates new efficiencies and operational capabilities, and unlocks capital to reinvest in new business models that enrich customer experiences, build competitive advantage, and support profitable growth.
Longer term, this powerful combination of technologies and data will fuel a shift toward truly self-driving supply chain networks—which take value and innovation to a whole new level.
AI can automate demand planning, supply planning, inventory optimization, and execution with a focus on making decisions automatically, without human intervention (i.e., a shift from human driving the machines to machines guided by the humans). Meanwhile, ML enables self-learning, predicting, prescribing, and optimizing supply chain performance automatically across functions. And in a self-driving supply chain, automation can flag and resolve exceptions in real time—for example, ML-based algorithms can predict exceptions and supply chain outcomes and if the process changes over time, cognitive computing learns and adapts to it.
AI truly has the potential to transform any supply chain—and in today’s environment, such a transformation isn’t an option anymore. With the right combination of people, processes, and technology, companies can stop piloting AI and start scaling it so the supply chain network can begin to realize its full potential value—both in the short term and longer term.
Explore how Accenture can help power more intelligent supply chains with analytics and AI. Visit www.accenture.com/ai