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Supply-chain operations are increasingly being shaped by exception work: the activity triggered when actual conditions diverge from plan. Planners must gather context, assess consequences, compare alternatives, seek approvals, coordinate with partners, update systems, and verify that the corrective action worked. As exception volumes grow, this work is becoming too important to remain an informal layer of emails, spreadsheets, alerts, and manual follow-up.
Autonomous exception management is emerging as a way to structure that work. The category goes beyond visibility by qualifying meaningful exceptions, assembling operational context, applying decision rights, orchestrating responses, and monitoring outcomes. For buyers, the key question is no longer how many features a platform offers, but whether it can reliably compress the path from event to decision to action across transportation, warehousing, inventory, fulfillment, and adjacent systems.