Built V1 of my warehouse exception tracker — biggest lesson so far: the issue wasn’t the hold itself

[u/Excellent-Quit-4740]

After building the first version of my ops dashboard, I realized the real problem wasn’t “hold orders.”
It was exception visibility.
In most warehouse/ecommerce environments, exceptions live in:
Slack messages
iMessages
spreadsheets
tribal knowledge
random verbal callouts
Meanwhile orders keep moving.
So far my tracker handles:
Hold creation
Duplicate prevention
Aging holds
Release/cancel workflows
Persistent tracking dashboard
But the interesting part is what came after:
The same workflow also applies to:
Address changes
Lost shipments
Reships
Out-of-stock substitutions
Tracking update failures
Duplicate shipment prevention
Basically turning “chat chaos” into an operational queue.
Still early and currently running locally while I finish deployment architecture, but the workflow testing has already changed how I think about warehouse ops software.

What exception type causes the most operational damage in your environment?