Guide to Pick and Pack Time Estimator

Estimate Warehouse Labor Time with the Pick and Pack Time Estimator

Every order that leaves your warehouse consumes labor time: walking to the pick location, pulling the right product, confirming the pick, moving to the packing station, selecting the correct box, cushioning the product, sealing, labeling, and staging for shipment. The Pick and Pack Time Estimator calculates the total labor minutes per order based on your warehouse layout, order characteristics, and packing complexity, giving you the data needed to plan staffing levels and quote accurate processing times.

Understanding your per-order pick and pack time is essential for workforce planning. If each order takes 8 minutes and you need to ship 500 orders before the carrier cutoff at 3 PM, you need roughly 67 labor hours of picking and packing capacity available between order receipt and cutoff. That translates directly to the number of warehouse staff you need on the floor.

How the Pick and Pack Time Estimator Works

Input your average order characteristics: number of line items per order (single-item versus multi-item), average walking distance between pick locations, pick confirmation method (paper list, RF scanner, voice picking), and packing complexity (standard box, custom packaging, fragile goods requiring extra cushioning). The estimator applies time standards for each step to calculate total minutes per order.

The tool breaks down time by activity: travel time between picks, search and retrieval time at each location, pack station time, and labeling and staging time. This granularity shows you where time is being consumed. If travel time represents 40% of total pick and pack time, your warehouse layout or slotting strategy needs optimization more urgently than your packing process.

Who Uses Pick and Pack Time Estimates?

Warehouse managers planning daily staff schedules need accurate time estimates to avoid both understaffing (missed cutoffs, overtime costs) and overstaffing (idle workers, wasted labor budget). The estimator converts your order forecast into labor hours required, taking the guesswork out of scheduling.

Third-party logistics providers quoting pick and pack rates to prospective clients need to know their cost per order. If your labor cost is $18 per hour and each order takes 7 minutes, your labor cost per order is $2.10. Add overhead allocation and margin, and you have a defensible per-order price. The Pick and Pack Time Estimator provides the time component of that calculation.

Operations improvement teams use time estimates as a baseline for measuring the impact of process changes. After implementing a new slotting strategy that reduces average walking distance by 30%, re-running the estimate shows the predicted time savings. Comparing predicted to actual validates whether the change delivered its expected benefit.

Factors That Significantly Affect Pick and Pack Time

Warehouse layout and slotting have the largest impact on pick time. Products stored in the order they're typically picked (zone picking with fast movers near the packing station) can cut travel time by 50% compared to random storage. The estimator models different layout configurations so you can compare scenarios before physically reorganizing your warehouse.

Order complexity matters enormously. A single-item order might take 3 minutes total while a 12-item order from scattered locations takes 20 minutes. If your average order profile is shifting toward more items per order, your per-order time and staffing needs increase proportionally. Track this trend and adjust staffing forecasts accordingly.

Pick technology makes a measurable difference. Paper-based picking with manual checkoffs is the slowest method. RF scanning reduces errors and search time. Voice picking frees both hands and keeps the picker's eyes on the shelf rather than a screen. Each step up in technology reduces per-pick time by roughly 15 to 25%.

Tips for Reducing Pick and Pack Time

Slot your top 20% of SKUs by volume in the most accessible locations closest to the packing station. In most warehouses, 80% of picks come from 20% of SKUs. Optimizing those locations has an outsized impact on overall pick time.

Batch similar orders together. Instead of picking one order at a time, a picker who collects items for 10 single-item orders in one pass through the warehouse eliminates nine return trips to the packing station. Batch picking is one of the simplest and most effective time reducers available.

Standardize packing materials and procedures. When packers have to decide which box, how much void fill, and which tape for each order, decision time adds up. Predefined packing standards for common order profiles eliminate those micro-decisions.

All estimates calculate locally in your browser. Warehouse data, order profiles, and labor figures stay on your device.