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What if you had an assistant who continuously provided recommendations for optimizing your supply chain operations, then immediately implemented them upon your authorization? Would that assistant be even more valuable if they knew when they didn’t need to ask, but instead took immediate actions without your intervention?
Of course, no such person exists, but artificial intelligence-enabled digital twin (DT) technology has advanced to the point where this “super assistant” scenario no longer has to be just a dream.
Today, AI-enabled DTs are uniquely positioned to transform supply operations by connecting and synthesizing siloed operations to improve visibility and decision-making across the end-to-end supply chain ecosystem in which thousands of people are making decisions. This becomes possible when data is standardized and cleaned, integrated with disparate systems, and understood in the context of a specific business.
There are many implications for how this can impact a supply chain. Read Five Ways AI-Enabled Digital Twins Will Shape the Future of Supply Chains for five significant ways that AI-enabled digital twins can shape an organization’s future.
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