For a decade, supply chain leaders have raced to automate processes by deploying robots, building digital twins, and designing optimized data-driven, inventory-management policies. This wave of automation has enabled faster operations, reduced errors, and led to supply chains that operate according to carefully designed sets of rules. Yet automation has a ceiling. Humans still write the rules, coordinate across functions, and make management decisions.
Automated supply chains adapt by applying the given rules but cannot learn, reason, or manage the fundamental tradeoffs that define supply chain operations. In contrast, supply-chain-management systems powered by generative AI could have the capability to operate autonomously.
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