Pick Error Rate – Definition, Calculation & Benchmarks

What is the Pick Error Rate?

Pick error rate measures the proportion of incorrectly picked items in the warehouse process. It is a key quality KPI at the line-item level and serves as an early indicator of issues in picking.

How is the Pick Error Rate calculated?

Formula:

(Incorrect picks ÷ total number of picks) × 100

Example

10,000 picks per day
of which 50 are incorrect

→ Pick error rate = 0.5%

Benchmarks

• < 0.5% → very good
• 0.5–1% → acceptable
• > 1% → critical

Practical Significance

Even small error rates can have major impacts:

• increasing returns
• higher costs
• declining customer satisfaction

👉 The pick error rate directly impacts order accuracy.

Typical Causes of Errors

• visually similar items
• poor storage location labeling
• missing scans
• time pressure during picking
• unclear processes
  
  
  

How can the Pick Error Rate be reduced?

1. Introduce mandatory scanning

Barcode scans for every pick

2. Use pick-by technologies

• pick-by-light

• pick-by-voice

3. Optimize warehouse layout

Avoid placing similar items next to each other

4. Train employees

Clear standards and processes

Typical Mistakes in Interpretation

👉 A low pick error rate can be misleading if:

• errors are not recorded
• returns are not correctly attributed

Relation to other KPIs

• order accuracy
• return rate
• picking performance

Practical Example

A company introduces mandatory scanning:

• before: 1.2%
• after implementation: 0.4%

→ significant quality improvement

❓ FAQ

Conclusion

The pick error rate is one of the most important quality KPIs in the warehouse and a key lever for reducing error-related costs.