Warehouse productivity and labor planning

Labor is a warehouse's biggest cost. It's planned on the shift supervisor's experience and corrected with overtime or temp staff when the peak hits. Your WMS and time clock already hold what you need to plan better.

Key question

How many people do we really need each day and on each shift?

What we analyze

Actual productivity by worker, task, shift and order type (lines per hour, units per hour).
How inbound and outbound volume relates to hours worked.
Seasonality and peaks by day of the week and by customer.
Travel paths and slotting: which SKUs move most and where they sit.

Decisions it supports

Staff each shift to forecast volume.
Cut overtime and last-minute temp hiring.
Re-slot fast-moving SKUs.
Agree more realistic order cut-off times with customers.

Common findings

These are patterns we see often, not guaranteed results. What we find in your operation may be different.

Productivity varies widely between shifts handling the same volume.

A few customers or order types consume a disproportionate share of hours.

Peaks can be anticipated days in advance using historical data.

Typical data

WMS, time and attendance, ERP orders and shift schedules.

KPIs

Lines per hour
Cost per order
Overtime hours
Dock utilization
On-time shipping

Related service

Forecasting and applied AI. Volume forecasting, anomaly detection and automated summaries, used where they add value and explained with no black boxes.

See the service