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Reduce warehouse labour costs. Protect service.
Improve productivity, avoid unnecessary cover, release planning time and turn site experience into shared learning. Balance cost and service throughout.
Explore your labour opportunity ↗Two sources of savings. One labour budget.
Productivity improvements and reduced agency and overtime together underpin the potential to save 5% of your annual labour budget.
Improve productivity
Complete the work with fewer labour hours. Reduce drift between the plan and the work.
Explore productivity →Benefit 02Reduce agency & overtime
Use suitable available capacity and adjust cover earlier to avoid unnecessary extra hours.
Explore agency & overtime →of your annual labour budget
Potential saving from benefits 1 and 2.
Potential saving, not a guaranteed result. The contribution of each benefit varies by operation; savings are counted once, without overlap. Results depend on your starting point, operating constraints and adoption.
Planning efficiency is a separate benefit: less administration gives your team more time to act.
What could this mean for your warehouse? Discuss an assessment →
Complete the work with fewer labour hours.
A fixed processing rate assumes that every additional unit takes the same effort. In practice, productivity changes with the amount and mix of work. A picking journey can collect one item or several; too much work at once can also create congestion.
Predyktable uses operating history to estimate how productivity changes with workload. It then compares feasible work patterns across tasks and days, within your deadlines, available labour and capacity. The aim is to reduce the total hours needed to complete the work.
Same workload. Better timing. Fewer labour hours.
The plan assumes each unit takes the same effort. It can miss opportunities to use more productive workload levels across tasks and days.
Predyktable predicts how processing rates change with workload, then compares when to group or spread flexible work to reduce total labour hours.
The whole plan counts. A gain in one department or day must not create more work elsewhere. Compare total hours across the plan while keeping capacity and service commitments in view.
Illustrative mechanism, not a customer result. Both plans must meet the same workload and service requirements. Changes depend on work availability, deadlines, staffing and capacity; higher volumes do not always improve productivity.
Measure the hours needed for comparable work
Compare labour hours against similar workload, work mix and service commitments. Check the whole plan, including quieter periods, rather than counting an improvement on one day alone.
Buy the cover you need. Avoid the hours you don’t.
A balanced weekly total can hide a shortage on Tuesday and unused hours on Thursday. By the time that mismatch is visible, agency may already be booked and overtime may be the only practical response.
Predyktable compares workload, backlog and available labour across the plan. Bring forward work that has arrived, defer eligible work within its service window, or use suitable available capacity before buying extra cover. Check the effect on later days so today’s saving does not become tomorrow’s problem.
Compare labour needs with available and committed hours.
Account for skills, notice periods, minimum bookings and deadlines.
Review alternatives and retain extra hours where service needs them.
Measure the saving in agency and overtime spend.
Compare what you spent delivering similar work at the same service level, allowing for any replacement labour costs. If existing paid hours cover the work, count the avoided agency or overtime spend once.
Spend less time rebuilding plans. More time testing decisions.
Collecting inputs, rebuilding calculations and reconciling spreadsheets can consume the time planners need to consider alternatives. Connected inputs and repeatable calculations reduce that administration when a plan needs updating.
Keep one approved plan for the operation, with proposed changes and what-if scenarios clearly separate. Planners and shift managers can see which version applies, what changed and why.
Prepare for peak
Would different shift patterns or a different permanent-and-agency mix cover demand more effectively? Test the assumptions before committing hours.
Prepare for disruption
If a conveyor were unavailable for two days, what would happen to backlog and service? Compare recovery options before the disruption occurs.
Scenarios help your team evaluate choices; they do not automatically change the approved plan or prescribe a hiring strategy.
Less planning administration
Less time on administration.
More time for planning decisions.
Customer-reported 85% reduction in planning administration time. Results vary by operation and adoption. See the evidence →
Measure time released and how it is used
Compare administration effort for equivalent planning tasks, including work outside the platform. Track the scenarios assessed and decisions informed separately. Time released is planning capacity; it becomes a cash saving only where expenditure is avoided.
Make every site’s experience count.
Predyktable connects plan history with available operational results so teams can investigate recurring problems.
Follow rising agency spend to the site, department and task behind it. Was workload information late? Was a productivity assumption unrealistic? Or did a tight service window justify extra cover? Use the plan history to investigate what happened and why.
Network
Where is cost or service pressure recurring?
Region
Is the pattern shared by a group of warehouses?
Warehouse
Which site conditions or decisions need attention?
Department
Where is the workload or capacity mismatch?
Task
Which assumption, constraint or change should we test?
Turn site experience into network improvement.
Understand what worked, share why it worked and apply the learning where similar conditions exist.
For warehouse managers, this helps improve the next shift and plan. For network leaders, it identifies recurring constraints and where support, skills or capacity deserve attention.
The Warehouse Initial Setup Engine (WISE) establishes shared definitions during rollout. What teams can see depends on connected data and their access permissions.
Connect learning to measurable improvement
Shared operational knowledge supports better decisions. Any resulting labour, agency or overtime saving is counted once in the relevant benefit, rather than added again as a separate saving.
What could these benefits mean for your warehouse?
A Labour Opportunity Assessment uses your labour costs and operating baseline to estimate the potential value.
Explore your labour opportunity ↗