Order Picking Methods
Overview, Examples and Use Cases
Order picking methods describe how goods are assembled in the warehouse to efficiently fulfill customer orders. They are a central component of modern logistics—especially in e-commerce, with 3PL providers, and in industry.
The choice of the right method has a significant impact on:
- Warehouse productivity
- Error rate
- Scalability as the business grows
Order picking methods are also referred to as order picking procedures or order-picking methods and are part of modern picking systems.
Classification: Methods, Strategies and Technologies
In practice, these terms are often mixed. A clear distinction helps with understanding:
- Order picking methods describe the organizational execution (e.g. batch or zone picking)
- Order picking strategies describe how orders are controlled (e.g. wave picking)
- Order picking technologies describe the technical implementation (e.g. pick-by-scan or pick-by-light)
Modern order picking is based on the interaction of these three levels.
Organizational principles of order picking
Single Order Picking
Here, one order is processed completely after another.
Typical use cases:
- Small warehouses
- Low order volumes
- Industry (spare parts, individual items)
Advantages:
- Easy to implement
- Low error rate
- No sorting effort required
Disadvantages:
- Long travel distances
- Low efficiency with many small orders
💡See also Bitergo glossary: Single Order Picking
Batch Picking / Multi-Order Picking
Multiple orders are picked in parallel and then separated.
Typical use cases:- E-commerce
- 3PL with many small orders
Advantages:
- Significantly reduced travel distances
- High productivity
Disadvantages:
- Subsequent sorting process required
- Higher demands on processes and systems
💡See also Bitergo glossary: Batch Picking / Multi Order Picking
Zone Picking
Zone picking is an order picking method in which the warehouse is divided into several areas (zones). Each worker is responsible for one zone. Orders are either passed through the zones (pick & pass) or processed in parallel.
Typical use cases:
- Large warehouses
- Automated logistics systems
Variants:
- Pick & Pass → order moves through zones
- Parallel picking → multiple zones work simultaneously
Advantages:
- Worker specialization
- High scalability
- Well suited for automation
- Shorter travel distances within zones
Disadvantages:
- Coordination effort
- Dependencies between zones
👉 Foundation of many modern warehouse structures
💡See also Bitergo glossary: Zone Picking
Cluster Picking
Cluster picking is an extension of batch picking in which multiple orders are picked simultaneously and directly separated. The picker uses, for example, a cart with multiple containers (clusters), each assigned to an order.
Typical use cases:
- E-commerce with high order density
- Small parts warehouses
Advantages:
- No subsequent sorting required
- Very efficient with high order density
Disadvantages:
- Limited number of orders that can be processed simultaneously
💡See also Bitergo glossary: Cluster Picking
Pick & Pack (two-stage picking)
Order picking takes place in two steps:
- Items are collected (e.g. batch picking)
- Orders are assembled and packed
Typical use cases:
- 3PL providers
- E-commerce
Advantages:
- High efficiency at large volumes
- Clear process structure
💡See also Bitergo glossary: Pick & Pack
Control logics in the warehouse
Wave Picking
Wave picking is a method for controlling order picking in which orders are released in time-based waves.
Orders are grouped and processed together based on criteria such as shipping time, route, or priority.
Typical use cases:
- Large distribution centers
- E-commerce with fixed shipping times
Advantages:
- Optimized shipping processes
- Plannable workload
- Efficient peak management
Disadvantage:
-
Less flexible than real-time control
💡See also Bitergo glossary: Cluster Picking
Real-time / dynamic picking
Orders are released continuously and flexibly.
Advantages:
- Maximum flexibility
- Fast response to changes
- Ideal for same-day logistics
Disadvantages:
- Higher IT complexity
Priority-based picking
Orders are processed based on importance (e.g. express).
👉 Often combined with other methods to ensure service level targets
Order picking technologies
Pick-by-Scan (MDE / scanner)
Pick-by-scan refers to an order picking method in which workers are guided through the picking process using barcode scanners or mobile data capture devices. The warehouse management system transmits picking orders to a mobile device. The worker scans storage locations and items to confirm the pick.
Typical use cases:
- Small and medium-sized warehouses
- Industrial companies
- 3PL providers
Advantages:
- High process reliability
- Real-time feedback to the WMS
- Low error rate
- Easy to implement
💡See also Bitergo glossary: Pick-by-Scan
Pick-by-Voice
Pick-by-voice is a voice-controlled picking system in which workers receive instructions via headsets.
Typical use cases:
- Food logistics
- High-frequency warehouses
Advantages:
- Hands and eyes free
- High speed
- Low error rate
Pick-by-Light
Pick-by-light is a visual picking system in which light signals indicate the picking location.
Typical use cases:
- Small parts warehouses
- Assembly supply
Advantages:
- Very high picking speed
- Intuitive operation
- Minimal error rate
Goods-to-Person
Goods-to-person describes automated systems in which goods are transported to the worker.
Use cases:
- Automated warehouses
- E-commerce fulfillment
Advantages:
- Minimal travel distances
- Very high efficiency
- Scalable
💡See also Bitergo glossary: Goods-to-Person
Combinations in practice
In modern warehouses, multiple methods are combined:
- Batch + Zone Picking
- Wave + Multi-Order Picking
- Zone + Pick-by-Light
- Goods-to-Person + Cluster Picking
👉 Hybrid systems are the standard today
Which order picking method fits which industry?
E-commerce:
- Batch / Cluster + Wave Picking
- Focus on speed and scalability
3PL (Fulfillment):
- Flexible combination of different methods
- Adaptation to varying customer requirements
Industry:
- Often single-order or zone picking
- Focus on accuracy and product variety
When should order picking be optimized?
- Increasing error rate
- Long travel distances in the warehouse
- Growing order volume
👉 In these cases, implementing a warehouse management system (WMS) or adjusting the picking strategy is worthwhile