Calculate pick and pack fulfillment cost per order using picks, pack time, and labor rate. Optimize warehouse fulfillment labor cost and efficiency.
Pick and pack is the core fulfillment activity in any warehouse operation. Picking involves retrieving items from storage locations to fill orders, while packing involves placing those items into shipping containers with appropriate protection and documentation. Together, these activities typically account for 50-70% of total warehouse labor cost.
The cost of pick and pack depends on the number of picks per order, the time per pick, the time per pack, and the fully loaded labor rate. Understanding this cost helps manufacturers price their products accurately, compare in-house fulfillment against third-party alternatives, and identify high-cost areas for process improvement or automation.
This calculator computes the total pick and pack cost per order based on your operational parameters, making it easy to benchmark, budget, and identify savings opportunities.
Understanding this metric in quantitative terms allows manufacturing leaders to prioritize improvement initiatives and allocate limited resources where they will deliver the greatest operational impact.
Pick and pack is the largest controllable cost in warehouse operations. Knowing the exact cost per order enables accurate pricing, 3PL comparison, and identification of automation opportunities. Even small per-pick improvements multiply across thousands of daily orders. Having accurate figures readily available streamlines reporting, audit preparation, and strategic planning discussions with management and key stakeholders across the business.
Pick Cost = Picks per Order × Time per Pick × (Labor Rate / 60) Pack Cost = Packs per Order × Time per Pack × (Labor Rate / 60) Total Cost per Order = Pick Cost + Pack Cost
Result: $5.83 per order
Pick cost: 5 picks × 2 min × ($25/60) = $4.17. Pack cost: 1 × 4 min × ($25/60) = $1.67. Total: $5.83 per order. At 500 orders/day, daily pick-pack labor cost is $2,917.
Discrete picking (one order at a time) is simplest but least efficient due to travel time. Batch picking (multiple orders per trip) reduces travel by 30-40%. Zone picking assigns workers to zones, reducing travel within each zone. Wave picking combines orders by shipping carrier or priority. Each method has different cost profiles — model the cost per order for each approach before redesigning.
Packaging material cost, labor time, and dimensional weight charges are all optimized through right-sizing. Cartonization algorithms select the smallest box for each order, reducing material cost and shipping DIM charges. Standardized packing stations with ergonomic layouts reduce pack time by 15-25%.
Beyond direct pick-pack labor, include quality inspection time, error correction (mis-picks cost $20-$50 each in labor plus return shipping), replenishment labor to keep pick faces stocked, and management oversight. A fully loaded pick-pack cost is typically 20-30% higher than the direct labor component alone.
Manual picking: 60-120 picks per hour. Pick-to-light: 150-300 picks/hour. Voice picking: 100-200 picks/hour. Goods-to-person automation: 200-600 picks/hour. Rates vary by product size, layout, and walking distance.
Use the fully loaded rate: base wage + benefits + taxes + workers comp + training + supervision allocation. This is typically 1.3-1.5x the base hourly wage. Don't forget to include temporary labor premiums if applicable.
Optimize slotting (high-velocity items at ergonomic height), reduce travel distance (zone picking), improve location accuracy (barcode/RFID), use batch picking, and invest in pick-assist technology (voice, light, robots). Comparing your results against established benchmarks provides valuable context for evaluating whether your figures fall within the expected range.
They are separate activities that may be done by different people. Track them separately for optimization purposes, but combine them for total order fulfillment cost. Some operations combine pick-pack in a single trip.
Cost per order increases with lines per order (more picks). However, cost per unit decreases because the fixed pack time is spread over more items. Analyze cost per unit and cost per order separately.
When daily order volume exceeds 1,000-2,000 orders, labor availability is constrained, or labor costs are high. Calculate the ROI by comparing current per-order cost against automated cost, including capital amortization. Payback under 3 years is typical justification.