How to Respond to RFQs Faster (Without Quoting Blind)

Most shops that lose on speed aren’t losing because their estimators are slow. They lose because nothing happens to the RFQ for the first eighteen hours it sits in an inbox.

Which is a much easier problem to fix than it sounds. If pricing takes three days because the part is genuinely hard to price, that’s a capability question and you’ll have to chip away at it slowly. If a buyer hears nothing from you for two days and then gets a good number, you were never really in that deal. Someone else was already talking to them about lead times while your inbox was quiet.

This is about compressing the second gap, which is where nearly all the recoverable time actually lives.

A quick note on where this is coming from

Delynt AI is a company. We build AI agents for the parts of a manufacturing business that live in email, starting with sales. Our first agent reads inbound to your sales inbox as it arrives, spam- and trust-scores every message with reasoning, and routes qualified enquiries to the right rep on Telegram within seconds, per-inbox or company-wide. Reply drafting with human confirmation is building next.

That work is what keeps us inside the RFQ intake problem every day. What follows is what we’ve watched actually move the numbers on real inboxes, not the tidy version.

Two clocks, not one

Every RFQ starts two clocks the moment it lands, and most shops only manage one of them.

The first is time to first response: from arrival to any human-quality acknowledgement that names the part, confirms exactly what was received, flags anything missing, and commits to a date. The second is time to priced quote: from arrival to a number the buyer can act on.

The second clock has a floor. Real engineering work happens on it. Reading the print, checking material, routing, tooling, capacity. You can shorten it, but only so far.

The first clock has no floor. It’s pure process latency, and it’s where the bleeding is.

Decoupling the two is the highest-leverage change most shops can make. A buyer who gets a substantive reply twenty minutes after sending you a drawing (“we’ve got it, we quote this family regularly, we’re missing the tolerance callout on the bore, send it and you’ll have pricing Thursday”) is in a conversation with you. A buyer who gets silence for two days and then a quote is comparing spreadsheets.

The speed-to-lead research everyone quotes at this point, the MIT/Oldroyd 21x figure, Harvard Business Review’s 2011 audit, the “78% buy from whoever responds first” line, was measured on web form fills, not on engineered RFQs. It gets repeated well past what the original data supports. Treat those numbers as directional at best. The underlying mechanism is real and does transfer, though: buyers send the same package to several suppliers, and the first credible responder gets to frame the conversation. Everyone after that is responding to a frame someone else already set.

Why RFQs actually sit

Before adding tools, work out which of these applies to you. Most shops have two or three, not all six.

Intake is scattered. RFQs arrive at a sales@ address, a personal inbox, a web form, a customer portal, sometimes a phone call. Nobody really owns the queue, so “someone will look at it” turns into nobody looking at it until the next sales meeting.

Triage is manual. Someone has to open every email to figure out whether it’s an RFQ, a follow-up on an existing quote, a supplier newsletter, or spam. That reading gets batched, once a day, when whoever handles it has a gap.

The package is incomplete. Missing tolerances, no material spec, a 2D print with no 3D model, no quantity breaks, no target date. You email back to ask. They answer in a day. You’ve just lost 48 hours to a round-trip that a five-minute check at intake would have kicked off immediately.

Judgment is concentrated in two heads. In most shops one or two people can read a hard print quickly and correctly, and every complex RFQ queues behind whatever they’re already doing. This is the bottleneck that adding headcount doesn’t fix, because the constraint is expertise, not hours.

Nothing is reusable. You quoted a near-identical part fourteen months ago. Nobody can find it. So it gets estimated from scratch, and so does the next one.

No standard exists. No stated internal target for first response or quote delivery, so there’s nothing to miss and nothing to measure.

The system

1. One queue for every RFQ

Every RFQ, from every channel, lands in one place with one owner. Whether that’s a shared inbox with strict rules, a CRM, or a quoting platform matters less than the rule itself: no RFQ exists in someone’s personal inbox. If it isn’t in the queue, it isn’t real.

2. Classify before anyone reads

Separate real RFQs from everything else automatically. Sender domain, attachment type, keyword patterns, whether this is a first contact or an existing thread. You can get most of the way there without a person opening anything. The point isn’t automatic pricing. It’s making sure a live RFQ is visible as an RFQ within minutes of arrival instead of at end of day.

3. Acknowledge within the hour, always

A template with real slots, not a canned autoresponder. The acknowledgement should name the specific part or project, confirm what files you received, list anything missing that will block quoting, and give a date for the number. Buyers can tell the difference between “thanks, we’ve received your inquiry” and a reply that shows someone actually looked at the drawing.

Generic autoresponders don’t count. They tell the buyer nothing and burn the one signal you had.

4. Run the completeness check at intake, not at estimating

Build a checklist for each process family: material and spec, quantity and quantity breaks, tolerance callouts, finish, certification requirements (ISO, AS9100, ITAR, material certs), delivery date, drawing revision level. Anyone in the office can run it. Missing items go out in the acknowledgement, which means the clarification round-trip runs in parallel with your estimating, not after it.

This one change typically removes a full day from complex quotes and costs nothing.

5. Tier RFQs and set a target for each

Not every RFQ deserves the same speed, and pretending otherwise is exactly why fast quotes end up waiting behind slow ones. Something like:

Tier	What it is	First response	Quote
A — Repeat / near-repeat	Part you’ve made or quoted before, existing customer	Under 1 hour	Same day
B — Standard	Single process, clean model, familiar material	Under 1 hour	24–48 hours
C — Complex	Multi-process, tight tolerance, new material, tooling, certification-heavy	Under 1 hour	Committed date, communicated up front
D — No-quote	Outside capability, wrong volume, tyre-kicker blast to twenty shops	Under 1 hour	Decline, with a reason

First response never moves. Only the quote clock changes.

6. Make the fast no a real option

A same-day decline is a win, not a lost opportunity. It frees your estimator for RFQs you can actually win, and buyers remember the suppliers who told them “not our process, but this is who does it” far more warmly than the ones who ghosted them for a week and then quoted 40% high to make it go away.

Write the decline template once. Make it gracious and specific.

7. Build the quote library

Every quote you’ve ever sent, searchable: part characteristics, material, process, quantity, price, whether you won, and if you lost, to what number. Most quoting then becomes benchmarking against a comparable historical job rather than a build from zero. This is also the asset that lets a junior estimator handle Tier A and B, which is what finally unblocks your senior people.

Standardise the cost model at the same time. One template, one set of formulas, consistent overhead allocation, consistent handling of tooling and engineering time. Estimators stop reinventing the structure and only supply judgment.

8. Route around the bottleneck deliberately

If two people handle every hard print, protect their time. Tier A and B never reach them. Their queue is visible, prioritised by deal value and buyer urgency, not silently reordered by whoever emailed them last. Cross-training a third person on drawing interpretation returns more than any software purchase you can make.

Where automation genuinely helps

Automation is very good at the parts of this that are pattern-matching, and very bad at the parts that are judgment. Being precise about which is which is what separates a useful system from a costly one.

Worth automating: detecting that an RFQ has arrived and routing it; extracting sender, part number, quantity, and material from the email and attachments; checking the package against a completeness checklist; drafting the acknowledgement with the specifics already filled in; surfacing comparable historical quotes; alerting when a first-response SLA is about to be breached; notifying the right person on their phone instead of in an inbox they check twice a day.

Not worth automating: the price on anything non-trivial, the read of a difficult print, the decision to no-quote a strategic account, and any reply that goes out to a customer without a human seeing it. Auto-sending quotes is how you win a job at a number you can’t actually build to.

The realistic target is that a person spends their time on the twenty minutes of judgment in an RFQ instead of the ninety minutes of handling around it. That gap is exactly what we design agents to close at Delynt AI: intake, triage, scoring, and routing run automatically, and the human shows up at the moment their expertise actually matters.

Measure it like a revenue metric

Four numbers, reviewed monthly.

Median time to first response. Median, not average. One bad week of averages hides a systemic problem.

Median time to delivered quote, by tier. A single blended number is meaningless when Tier A and Tier C sit in the same bucket.

Win rate by turnaround bucket. Under 4 hours, 4–24 hours, 1–3 days, over 3 days. This is the number that tells you what speed is actually worth in your market, rather than what a vendor’s case study claims.

RFQs with no response at all. Usually the most uncomfortable number in the set, and the cheapest to fix.

If your win rate barely moves between the 24-hour and 3-day buckets, speed isn’t your constraint and you should go work on something else. If it drops off a cliff after day one, you now have the business case for everything above.

FAQ

How fast should we respond to an RFQ? Acknowledge every RFQ the same day, ideally within the hour, and return simple quotes within 24 hours. Complex quotes can take longer as long as the buyer gets a committed date early. Silence loses jobs more often than long cycle times do.

Is a same-day quote realistic for complex parts? Usually no, and pretending otherwise produces bad prices. Give a budgetary range with clearly stated assumptions plus a firm date for the real number. Buyers can work with a caveated range. They can’t work with nothing.

Does faster quoting hurt margin? It does if you compress the estimating work. It doesn’t if you compress the queueing, the round-trips, and the rework, which is where most of the time actually goes. Track quoted-versus-actual cost alongside turnaround so you’d notice if margin started slipping.

Should we auto-reply to RFQs? Acknowledge automatically with real extracted specifics, yes. Send an auto-generated price without human review, no, not on anything but a genuine catalogue item.

What’s the cheapest change with the biggest effect? A completeness checklist run at intake, so missing-information round-trips start on day zero rather than day two.