Analytics · 3PL & Warehousing
Receiving and putaway throughput analytics
A warehouse measured dock-to-stock time to find where inbound goods waited before they were available to pick.
Microsoft FabricPower BIAzure SQLDAX measures
- Dock-to-stock
- -26%
- illustrative
- Queue time
- Measured
- per dock
- Labor fit
- To volume
- by shift
- Steps tracked
- 3
- receive to putaway
Illustrative scenario · example figures
The challenge
Inbound containers piled up at the dock and goods sat before putaway, but with no measurement the delay was managed by walking the floor.
What we built
We measured each step from dock to stock using WMS events, exposing throughput, queue time, and labor alignment by shift and dock.
- Dock-to-stock time broken into receive, check, and putaway.
- Queue and wait analysis by shift, dock, and product type.
- Labor-versus-volume alignment across the day.
Outcomes
- Inbound bottlenecks are located and cleared.
- Goods reach pickable stock faster.
- Labor is planned against real inbound volume.
Where the data came from
WMSLabor management systemAppointment schedulingASN / EDI
Data is drawn from the systems the operation already runs on and delivered in the client’s own tenant.
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