
There's a number that most EMS sales leaders know but rarely say out loud: 60%.
That's the average RFQ response rate across the electronics manufacturing services industry. Which means that on any given month, approximately 40% of the requests for quotation that land in your team's inbox don't get answered.
Some get deprioritized. Some get buried under higher-margin opportunities. Some just fall through the cracks when a quoting engineer's queue gets too deep.
And every single one of them goes somewhere else.
Unlike a lost deal where you know you competed and came up short, an unanswered RFQ is an invisible loss. It doesn't show up in your CRM. It doesn't generate a loss reason. It doesn't trigger a pipeline review. It just silently disappears.
But it's not invisible to your competitor who quoted it.
If your team processes 250 RFQs per month at an average deal size of $40,000, a 40% non-response rate represents $4M in monthly opportunity that never got a chance to become revenue. That's $48M per year in pipeline being harvested from your inbox by whoever responds first.
The frustrating thing about the 40% gap is that it's usually not a competence problem or a culture problem. The quoting team is good. They're just outnumbered.
Before a quoting team can start actually applying their expertise, their supplier relationships, their judgment about margin and risk they first have to do a series of tasks that have nothing to do with engineering judgment:
Depending on the complexity of the BOM, this pre-work can consume 2-4 hours per RFQ. For a team processing 250 RFQs a month, that's 500-1,000 hours of bandwidth consumed by tasks that add no competitive value.
Every step in that pre-work list is automatable. BOM extraction from any format. Component matching against live supplier databases. A quote scaffolding from template. These are not creative tasks, they're pattern-matching tasks, and they're exactly what AI-native platforms are built to do.
When that pre-work is automated, the quoting team's capacity doesn't just increase, it multiplies. A team that was physically capable of quoting 150 RFQs a month can now process 250. The 40% gap closes not because the team worked harder, but because they stopped doing work that shouldn't require a human.
Breadboard's RFQ automation platform handles the full pre-work pipeline automatically. Every inbound RFQ regardless of format is parsed, extracted, and scaffold-quoted before your team opens it. What arrives in their queue isn't a raw RFQ. It's a 90%-complete quote ready for their review and approval.
This is how EMS companies go from a 60% response rate to a 90%+ response rate without adding headcount. Not by working harder. By removing the work that was slowing them down.
If you want to see what the 40% problem costs your business specifically, there's a free calculator here: https://www.breadboard.com/quotation-calculator. It takes 30 seconds and generates a personalized RFQ Revenue Gap estimate based on your actual volume and deal size.
The number might surprise you. It usually does.
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