Solutions
WareBee forlabour planning .
Getting the labour forecast wrong hurts as much as getting the demand forecast wrong. WareBee turns expected order profiles into staffing plans — per zone, per shift, per wave — and shows the cost of every alternative.
Book a demoLabour & Workforce Planning
Staff the peak, not the average.
Forecast-driven FTE plans
How many people each shift, day and week actually needs — from expected volumes, not last year's spreadsheet.
The plan starts from order lines already booked plus a demand model trained on your own seasonality, not a headcount carried over from the same week a year back. A planner sees Thursday's likely wave size on Monday, with enough runway to book agency cover or cancel it before the roster locks.
Zone & wave staffing
Allocate labour by floor, zone and picking method so waves start optimally.
Each wave's headcount gets split by picking method and zone before the first tote moves, matched to how long that specific mix of orders actually takes rather than a flat ratio applied everywhere. A wave forecast to lean heavy on single-line orders gets the pickers who work fastest, not whoever's next on the roster.
Idle time & overtime
See where paid hours go — travelling, waiting, handling — and rebalance.
Each paid hour gets tagged to what actually happened in it, drawn from scan events rather than a supervisor's end-of-shift estimate, so a zone that stalls on replenishment every week shows up as a pattern instead of a one-off complaint. Overtime approval starts from that pattern — a genuine spike, or a chokepoint that keeps recurring.
Peak-season planning
Simulate the peak with its real order profile before committing to temp contracts.
Last year's actual demand curve, not a scaled-up average day, runs through the twin to show exactly where the current headcount plan breaks first: a specific zone, a specific shift, a specific week. Temp contracts get sized and dated against that breaking point, instead of a round number booked months early out of caution.
Service-level trade-offs
The throughput and SLA impact of one FTE more or less, quantified.
Pull one picker from a zone in the model and the knock-on to cycle time and cutoff risk shows up immediately, propagated through the same wave logic the floor runs on, not a linear headcount-to-output assumption. A planner facing a budget cut sees which zone absorbs one fewer body cleanly and which one turns a cut into a missed dispatch.
Equipment utilisation
Forklifts and MHE planned alongside people — no wave stalled waiting for a truck.
Each task in the wave plan carries the equipment class it needs, checked against how many reach trucks or turret trucks are actually available, including the one flagged for maintenance, before the wave releases. A shortfall shows up on the plan the night before, not as a radio call mid-shift asking who has a free truck.