Commissioning Methods

Choosing the right pick strategy determines how quickly, accurately, and cost-effectively your fulfillment warehouse processes orders. No online retailer can avoid making a deliberate decision: Should each order be picked individually, should multiple orders be bundled, released in waves, or processed by zone? The answer depends on order volume, product structure, warehouse size, available technology, and agreed service levels.

This guide explains the most important pick strategies in detail, shows their advantages and disadvantages in direct comparison, and helps you find the right method for your operation – whether a small in-house warehouse or a professional fulfillment center.

What Are Pick Strategies?

Pick strategies define how and in what order items are retrieved from the warehouse for customer orders. They control the work organization of order picking: Who picks what, when, and to what extent? A strategy influences travel paths, staffing, error rates, and the maximum number of orders that can be processed per day.

In the fulfillment context, pick strategies are almost always supported or fully controlled by the Warehouse Management System (WMS). Without digital control, complex strategies such as wave or Regional Picking are barely manageable. For basics on technical integration, see the glossary entry on the WMS Warehouse Management System.

Process Flow: Pick Strategy as a Decision Point

The Four Core Pick Strategies

Single-Order Picking

In single-order picking, a picker processes exactly one order from start to finish. They receive a pick list with all line items, follow the optimized Walking Distance per Order, collect the items, and bring them directly to the packing station.

Typical use cases:

• Small warehouses with fewer than 50 orders per day
• High variant diversity per order (e.g., fashion with sizes and colors)
• Entry into structured picking without complex technology
• Premium orders with special quality requirements

Advantages: Low risk of mixing up orders, easy onboarding, direct assignment of order to picker.

Disadvantages: High travel distance per order, limited scalability as volume grows, inefficient for many small orders with similar items.

Batch Picking

In batch picking, multiple orders are picked simultaneously in one pass. The picker collects items for several orders and then sorts them by order – manually in bins on the Commissioning Cart or digitally controlled via the WMS.

Typical use cases:

• Many small orders with few line items (1–3 items)
• High proportion of recurring bestseller SKUs
• Medium to high daily volume (100–500+ orders)
• Combined with Pick Scan Verification to reduce errors

Advantages: Significantly reduced travel paths, higher picks per hour, better staff utilization.

Disadvantages: Sorting step required after picking, increased error risk without scan control, higher training effort.

Scheduled Wave Picking

Wave picking groups orders temporally into waves and releases them collectively for picking. A wave can include, for example, all orders by 12 noon or all express orders within a shipping window. Within a wave, single-order, batch, or zone picking can be used.

Typical use cases:

• Fixed cut-off times for same-day or next-day shipping
• Carrier pickups at defined times
• Peak seasons with predictable order spikes
• Multi-carrier processing with different handover times

Advantages: Predictable capacity utilization, better coordination with packing and shipping, efficient bundling of similar orders.

Disadvantages: Orders wait for wave release (latency), more complex WMS configuration, bottlenecks at packing stations with poor wave planning.

Zone Picking

In zone picking, the warehouse is divided into spatial areas. Each picker is responsible for one zone and picks only the items in their area. Orders move as containers, totes, or pick carts through the zones and are consolidated at a consolidation point.

Typical use cases:

• Large warehouse areas from approximately 1,000 square meters
• Clearly structured warehouse layout and racking system
• High order volume with many parallel pickers
• Items separated by category or temperature zones

Advantages: Short travel paths per employee, high parallelization, specialized pick teams per zone.

Disadvantages: Consolidation step required, investment in conveyor technology or handover points, complex process control.

Pick Strategies by Complexity

Comparison of Pick Strategies

Pick Strategies by Operation Size

Hybrid and Combined Strategies

In practice, most professional fulfillment operations use not just one, but several pick strategies in parallel. The WMS automatically decides based on rules which strategy applies to which order.

Common combinations:

1. Wave + Batch: Waves bundle orders temporally; within each wave, picking is done in batch mode
2. Zone + Wave: Zone pickers process waves in parallel within their areas
3. Single-order for special cases: Express orders or bulky goods individually, standard orders in batch
4. Batch in the morning, single in the afternoon: Flexibility with fluctuating staffing levels

Selection Criteria: Finding the Right Strategy

The decision for a pick strategy should be based on measurable criteria – not on habit or gut feeling. These factors are decisive:

Order Volume and Structure

• Fewer than 50 orders/day: Single-order picking is usually sufficient
• 50–200 orders/day: Batch picking or initial wave planning makes sense
• Over 200 orders/day: Evaluate wave picking, zone picking, or combinations
• Many single-line orders: Batch picking particularly efficient
• Many multi-line orders with variants: Single-order or zone with scan

Warehouse Size and Layout

Small warehouses with compact floor space benefit less from zone picking, as travel paths are already short. Large areas with multiple rack rows and floors, on the other hand, almost require zone-based or wave-controlled approaches. The inventory turnover rate of items additionally determines which SKUs should be located in which zone or pick proximity.

Technical Equipment

• Without WMS: Single-order picking with manual pick lists
• With WMS and scanners: Batch and wave picking feasible
• With pick-by-voice or pick-by-light: Zone and batch picking significantly accelerated
• With conveyor technology: Zone picking with automatic consolidation

Scanner and barcode equipment is indispensable for every strategy at medium volume and above – it reduces errors and keeps inventory management up to date in real time.

Service Level and Shipping Windows

Express orders, same-day shipping, and fixed carrier pickup times often require wave picking with prioritized waves. Those who communicate cut-off times (e.g., "Order by 2 PM, ships today") must align the pick strategy with these time windows.

Decision Tree: Choosing a Pick Strategy

KPIs for Evaluating Pick Strategies

Whether a strategy works is shown by these metrics:

1. Picks per hour (PPH) – productivity per picker
2. Travel path per order – in meters or minutes
3. Order Picking Accuracy – proportion of error-free orders (target: over 99.5%)
4. Order cycle time – time from order release to handover to packing
5. Cost per pick – labor costs divided by number of line items

Productivity Comparison

Note: Values depend on item size and warehouse layout.

Checklist: Evaluating a pick strategy

• Current order volume and growth forecast documented
• Average line items per order determined
• Travel paths per strategy measured or simulated (WMS report)
• Error rate of current strategy recorded as baseline
• Cut-off times and carrier pickups considered
• Technical requirements (WMS, scanner, pick cart) checked
• Training effort for staff planned
• Test phase with limited order share defined

Practical Example: Strategy Change with Growing Volume

An online retailer for household goods starts with 30 orders daily in single-order picking. After one year of growth to 180 orders daily, travel paths and labor costs rise disproportionately. The analysis shows: 70 percent of orders have only one to two line items, and many items repeat.

Transition in three steps:

1. 001. Introduction of scan-at-pick to reduce errors (pick accuracy rises from 96 to 98.5 percent)
2. 002. Switch to batch picking with waves of 15 orders in the morning and afternoon (travel path per order halved)
3. 003. ABC slot optimization: top 50 items in pick proximity to packing station (additional 20 percent time savings)

Results after three months: Order cycle time reduced from 45 to 22 minutes, labor cost per order cut by 38 percent, same-day cut-off moved from 1 PM to 3 PM.

Timeline: Strategy Change

Common Mistakes in Strategy Selection

Typical pitfalls:

• Optimizing too early: Replacing single-order at 20 orders/day with batch – the sorting effort eats up the advantage
• Switching too late: Still using single-order at 300 orders/day – labor costs and delivery times explode
• Waves without packing capacity: Releasing large waves but packing stations are the bottleneck
• Zones without clear boundaries: Overlapping zones lead to double picks or gaps
• No training: Introducing a new strategy without involving staff – error rate temporarily rises by 30 to 50 percent

Pick Strategies and Slotting Strategy

The effectiveness of every pick strategy is closely linked to slotting strategy. A-items with high inventory turnover belong in the pick zone near the packing area – regardless of whether single-order, batch, or zone picking is used. C-items can be stored further away.

In zone picking, zone boundaries should follow logical categories (e.g., small parts, medium parts, bulky goods), not arbitrarily by square meters. The WMS must know which zone each storage location is in to distribute orders correctly.

Conclusion

Pick strategies are not a theoretical concept, but a direct lever for speed, costs, and customer satisfaction in fulfillment. Single-order picking is the right starting point for small operations. Batch and wave picking scale medium volumes efficiently. Zone picking unlocks the potential of large warehouse areas. The best solution is rarely a single strategy, but a well-thought-out combination – controlled by the WMS, supported by scan technology, and aligned with your order structure.

Those who regularly review pick strategies based on KPIs and adjust them in time as volume grows keep their fulfillment competitive – even as same-day and next-day expectations continue to rise.

Related Topics

• Order Picking and Picking
• Pick-Pack-Ship
• Pick List and Order Picking (Glossary)
• WMS Warehouse Management System
• Scanner and Barcode Equipment

Last updated: July 6, 2026