Quick Answer
Explore where AI agents add value beyond traditional supply chain automation, how operational context shapes decisions, and when human oversight, recommendation, or bounded execution is the right model.
Supply-chain automation and AI agents are often discussed as though they are points on the same technology spectrum. They are related, but the operational difference is important.
Automation is strongest when the organization already knows what should happen. A rule detects a condition and triggers a predefined response. AI agents become more relevant when the organization needs the system to interpret changing conditions, assemble context, evaluate options, and decide what to recommend or do next.
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