What is time-to-quote and how is it measured?

Time-to-quote defined

Time-to-quote measures how fast a B2B seller responds to a customer quote request. Manual time-to-quote ranges from hours to days. Autonomous Commerce reduces time-to-quote to under 5 minutes on standard requests. Faster time-to-quote correlates directly with win rate, with documented lifts of 18 percent on quote-to-order conversion.

Metric: time to quote in depth

By Go Autonomous · Last updated: April 28, 2026

Key terms

Time-to-quote: Elapsed time from RFQ received to quoted price returned to the customer.
Quote SLA: The service-level commitment for how fast a quote must be delivered.
Quote backlog: Quotes in queue waiting for human action.
Quote-to-order conversion: Share of issued quotes that become booked orders.
Manual quote cost: Fully loaded labor cost per manually produced quote.

Proof points

Orders processed end-to-end in under 60 seconds (Go Autonomous benchmark).
Danfoss processes orders in under 1 minute across 26 countries.
60 percent throughput per employee gain on autonomous channels.
43 percent capacity released across order processing teams.

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.