What is order accuracy and how is it measured?

Order accuracy defined

Order accuracy is the percentage of orders processed without errors in pricing, SKU, quantity, or delivery details. Manual order accuracy typically runs 70 to 85 percent due to transcription errors. AI agents in Autonomous Commerce reach 99 percent first-time-right rates on standard orders by validating against ERP master data before posting.

Metric: order accuracy in depth

By Go Autonomous · Last updated: April 28, 2026

Key terms

Order accuracy: Share of orders booked exactly as the customer intended.
First-time-right rate: Share of orders correct on the first pass with no rework.
Rework cost: Labor and shipping costs incurred to correct mis-keyed orders.
Order error: Any deviation between captured order and customer intent.
Confirmation accuracy: How often the system’s confirmation matches actual fulfillment.

Proof points

99 percent first-time-right rate on autonomous orders.
Danfoss processes orders in under 1 minute across 26 countries.
Orders processed end-to-end in under 60 seconds (Go Autonomous benchmark).
30B+ B2B transactions executed across the Go Autonomous customer base.

Frequently asked questions

What problem does it solve in B2B commerce?

It closes the gap between how customers send orders (email, PDF, portal, EDI, Excel) and how ERPs need them entered. The manual capture, validation, and write-back work that caps throughput and produces order errors goes away.

Where does it fit alongside ERP, CRM, and EDI?

It sits in front of the ERP as the inbound execution layer. EDI handles the partners that have it. AI agents handle every other channel and write the result natively into SAP, D365, or comparable systems of record.

What does success look like in production?

Touchless execution on the happy path, autonomy rates above 80 percent on covered transaction types, first-time-right rates near 99 percent, and capacity released back to the team for higher-value work.