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Pick List and Order Picking
The pick list is the central working document of order picking - the process in which goods are assembled from the warehouse according to customer orders. Without a precise pick list and a structured picking process, error rates, delivery times, and return costs increase. In e-commerce fulfillment, picking quality directly determines customer satisfaction, OTIF metrics, and the profitability of overall warehouse operations.
Order picking forms the bridge between inventory management and packing: after order release, items are taken from storage locations, checked, and handed over to the packing station. Modern fulfillment centers manage this process digitally via a warehouse management system (WMS) - the pick list then appears on scanners, mobile devices, or pick-by-light displays.
Definition: What Is a Pick List?
A pick list (also: picking slip, pick ticket, pick order) contains all information a picker needs to assemble an order completely and without errors:
- Order or wave number
- SKU or item number with description
- Required quantity per line item
- Storage location (rack, aisle, level, bin)
- Priority (express, same-day, standard)
- Special notes (batch requirement, serial number, hazardous goods)
Order picking describes the physical operation: find goods at the storage location, pick them, scan them, and provide them for the next process step. Pick lists and order picking are inseparably linked - the list controls the process, the process validates the list.
Important: A pick list is only as good as the master data behind it. Incorrect storage locations, outdated inventory levels, or missing SKU mappings inevitably lead to picking errors - regardless of staff experience.
Pick List in the Fulfillment Process
The pick list is typically generated automatically as soon as an order is released. Process overview:
Step 1: Order Release and Reservation
After payment or credit checks, the WMS reserves the required quantities in inventory. The pick list is generated only when all items are available. In case of partial shipments, separate lists or split orders are created.
Step 2: Wave Creation and Prioritization
In larger fulfillment centers, orders are grouped into waves. A wave bundles multiple pick lists based on criteria such as:
- Shipping cut-off time
- Shipping method (express vs. standard)
- Warehouse zone (route optimization)
- Carrier pickup
Step 3: Picking and Handover to Packing
The picker works through the pick list line by line. After each scan, the system confirms the pick. Fully picked orders move to a packing area or are handed directly to the packing station - the next step in the pick-pack-ship process.
Picking Strategies and Their Impact on the Pick List
The structure of a pick list depends significantly on the selected picking strategy. Each strategy optimizes different goals: walking distance, throughput, or error rate.
Contents of a Professional Pick List
A high-quality pick list - whether digital or printed - contains at least the following mandatory fields:
- Header data: Order number, customer reference, shipping priority, target packing station
- Line item data: SKU, EAN/barcode, item description, quantity, unit
- Warehouse data: Storage location in readable format (aisle-rack-level-bin), alternative location in case of stock discrepancy
- Quality data: Batch number, expiration date, serial number (if required)
- Process data: Wave number, picker ID, timestamp start/end
Digital vs. Paper-Based Pick Lists
Paper lists are still common in small warehouses but quickly reach their limits:
- No real-time inventory updates
- No scan validation against mispicks
- No automatic KPI tracking
Digital pick lists via scanners or mobile devices enable scan-to-pick: every pick is validated against the expected SKU. Deviations trigger an immediate alert - a key lever for reducing errors.
Tip: Sort pick lists in the WMS by optimized walking sequence (serpentine through aisles), not by order number. The sequence of positions on the list can save up to 30 percent of walking time.
Order Picking in the Fulfillment Center
In a fulfillment center, order picking is the most labor-intensive outbound step. Typical metrics:
- Pick lines per hour: Number of picked line items
- Orders per hour (OPH): Completed orders per hour
- Picking accuracy: Share of error-free picks (target: above 99.5 percent)
- Walking distance per pick: Average distance per pick operation
Statistic: The industry average is between 99.2 and 99.7 percent picking accuracy. Each error costs an average of 15 to 50 euros per incident due to reshipment, returns, and customer service. Companies with scan validation frequently achieve values above 99.8 percent.
FIFO and Batch Control in Picking
For perishable goods, cosmetics with expiration dates, or regulated products, the pick list must define the removal sequence. The FIFO principle (First In, First Out) ensures older batches are picked first. The WMS automatically selects the oldest available storage location and records it on the pick list.
Common Errors and How to Avoid Them
Picking errors are rarely caused by negligence alone - in most cases, system or process gaps are the root cause:
- Incorrect storage location in master data → Regular inventory counts and plausibility checks
- Similar SKUs next to each other → Separation in warehouse layout, visual differentiation
- Unclear quantity information → Clear unit count, no ambiguity in pack/case units
- Missing mandatory scanning → Every pick must be posted against the system
- Overload during peak phases → Wave planning and temporary capacity adjustments
Picking errors in order picking are the most common cause of incorrect deliveries. A wrongly picked item causes double shipping costs, returns effort, and negative reviews - often more than the product margin per order.
Checklist: Efficient Pick Lists and Order Picking
- WMS generates pick lists automatically after order release
- Storage locations in master data are current and unambiguous
- Picking strategy matches order volume and assortment
- Scan-to-pick is mandatory for all line items
- Walking route optimization is embedded in list order
- Express and standard orders are separated visually or systemically
- Batch and expiration-date requirements are managed automatically on the list
- Picking accuracy and OPH are evaluated daily
- Training for new pickers includes an error-case procedure
- Handover to packing is clearly defined (container, label, station)
KPIs and Continuous Improvement
Fulfillment teams should regularly measure pick list quality and picking performance:
Order Picking with 3PL Providers
Anyone outsourcing fulfillment to a 3PL partner should define clear SLA requirements for order picking: picking accuracy, maximum order cycle time, cut-off times, and reporting obligations. Transparency regarding picking errors and their causes is a prerequisite for a constructive partnership.
Practical example: An online retailer with 400 orders per day switched from paper pick lists to scan-to-pick. Within three months, the error rate dropped from 1.8 to 0.3 percent - while throughput increased by 20 percent due to optimized walking routes.
Summary
The pick list is the control instrument of order picking and therefore a critical success factor in fulfillment. Those who combine digital pick lists with scan validation, a suitable picking strategy, and clean master data reduce errors, accelerate the path from order to delivery, and sustainably strengthen the customer experience.