Skip to content
KadmoonINC.
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.

Want this on your trade data?

Tell us where your numbers live and what leadership needs to see. You get a scoped plan and a quote within one business day.

Request a quote

More case studies