This automation recipe catches stock variance while the cause is still traceable. It compares counted quantities against expected, flags the lines that drift beyond tolerance, and routes each one to the person who can explain it.
Why This Matters
Shrinkage found at year-end is a write-off. Shrinkage found the week it happens is a process fix. Comparing count to expectation on a cycle keeps the investigation window open while people still remember the delivery.
What This Automation Does
- Structured memory: Track SKU, location, expected quantity, counted quantity, variance, tolerance, and owner.
- Decision views: A variance table sorted by value and a board for open investigations.
- AI assistance: An agent groups recurring variances by SKU and location so patterns surface.
- Execution: A scheduled cycle count opens tasks, and out-of-tolerance lines route to a named owner.
How To Use It
- Load your SKUs, locations, and expected quantities.
- Set a tolerance per category rather than one for everything.
- Schedule the cycle count cadence.
- Name the owner who investigates each flagged line.
Who It Is For
Retail operators, warehouse managers, and multi-location businesses.
Capability Boundary
This compares the numbers you record. It cannot count stock for you or determine the cause of a variance.
Build it in Taskade, pair with the e-commerce automations, or read automation triggers.