The Exception Queue

From Manually Scanning Shipments to a Queue That Flags Itself

Finding a problem shipment meant someone had to go looking for it — scanning through the day's shipment activity hoping to catch what needed attention before a customer did.

As a well-known manufacturer shipping eyewear to retail partners and directly to customers, the company's customer service and operations teams were responsible for catching delays and problem conditions across a large and constantly moving shipment population. Without a way to isolate the exceptions from the routine traffic, that meant manually reviewing shipment data to find the handful of shipments that actually needed intervention — a process that consumed time better spent resolving issues, and one that reliably missed things until a customer called in asking where their order was.

Continuous Status Underneath the Exception Queue

An exception queue is only as good as the status picture feeding it. Knowing where every shipment stands, at any point, is what makes flagging the ones that need attention possible in the first place.

Shipment Status Monitoring gave the team an up-to-date view of shipment progression from the moment a label was created through final delivery, without manually checking carrier systems for updates. Exception Management drew on that continuous status picture to identify the shipments that had fallen out of expected progression and surface them as a focused, prioritized queue — so the team wasn't just seeing where things stood, but which of them actually needed a person's attention right now.

For a manufacturer whose retail partners and end customers expect shipments to simply arrive, that combination moved customer service from a team that found out about problems the same way the customer did to one that was already working the issue by the time anyone thought to ask.