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Order Accuracy

What is Order Accuracy?

Order accuracy is a key KPI in warehouse management and describes the proportion of customer orders that are delivered completely, correctly, and without errors.

It is one of the most important quality KPIs in the warehouse, as it directly impacts:

  • customer satisfaction
  • return rate
  • process costs
  • brand perception

 

How is Order Accuracy calculated?

Formula:

(Error-free orders ÷ total number of orders) × 100

Example:

A company ships 12,000 orders per month.
Of these, 11,760 are error-free.

→ Order accuracy = 98%

 

What is a good Value?

Target values vary depending on industry and level of automation:

  • > 99% → Best-in-class
  • 97–99% → good standard
  • < 97% → needs improvement

👉 Especially in e-commerce, an order accuracy of at least 99% is often required.

 

Why is Order Accuracy so important?

Low order accuracy causes significant follow-up costs:

  • additional shipping costs (replacement deliveries)
  • returns handling
  • increased customer service effort
  • negative customer reviews

👉 At the same time, it is a key driver of customer satisfaction and repeat purchase rate.

 

Typical Causes of low Order Accuracy

Errors typically occur in the following process steps:

  • picking: wrong item or incorrect quantity
  • packing: incomplete or incorrect assembly
  • master data: incorrect item information
  • warehouse organization: unclear or poorly structured storage locations
  • time pressure: lack of quality checks

 

How can Order Accuracy be improved?

1. Introduce scan-based processes

Barcode scans at every process step significantly reduce errors.

2. Use pick-by technologies

e.g. pick-by-voice or pick-by-light to support employees.

3. Optimize warehouse structure

  • clear storage location logic
  • separation of similar items

4. Integrate quality checks

  • packing station checks
  • weight controls

5. Standardize processes

Clear workflows and training increase process reliability.

 

Typical Mistakes in Interpretation

👉 High order accuracy does not automatically mean efficient processes.

Example:
A warehouse achieves 99.5% but requires above-average time.

→ Therefore always consider it in combination with other KPIs, e.g.:

 

Relation to other KPIs

Order accuracy is closely related to:

  • pick error rate → detailed analysis at line-item level
  • return rate → external impact on the customer
  • perfect order rate → holistic quality KPI
  • throughput time → speed vs. quality

👉 Only in combination do they provide a complete picture of warehouse performance.

 

Practical Example

An online retailer introduces barcode scanning throughout the entire process:

  • before: 96.8% order accuracy
  • after implementation: 99.3%

Result:

  • significantly fewer returns
  • reduced customer service effort
  • higher customer satisfaction

 

❓ FAQ – Frequently asked Questions about Order Accuracy

What counts as a “flawless order”?

An order is considered correct if:

  • all items are correct
  • the quantity is correct
  • there are no incorrect or damaged products included

How often should order accuracy be measured?

Ideally daily or in real time in the WMS, but at least weekly. 

What is the difference from the picking error rate?

  • Pick error rate measures errors at the item level
  • Order accuracy measures errors at the order level



What Role does a WMS play?

A Warehouse Management System (WMS) enables:

  • real-time tracking
  • automated validation processes
  • reduction of manual errors
  • continuous KPI monitoring

 

Conclusion

Order accuracy is one of the most important warehouse KPIs and connects operational quality with customer satisfaction.

Companies that systematically measure and optimize this KPI benefit from:

  • lower costs
  • more stable processes
  • better customer experiences

👉 High order accuracy is not a coincidence, but the result of structured and transparent processes.