Nexus AI · For sales leaders, GMs and OEM CEOs
You Didn't Lose on Price.
60x. Firms that responded within an hour were 60 times as likely to qualify the opportunity as those that waited a day or more (HBR).
More than half of B2B buyers would likely switch suppliers after one poor buying experience (McKinsey, 2024). A slow quote can cost the account, not only the RFQ.
81% of B2B buyers are dissatisfied with the supplier they chose (Forrester, 2024).Your competitors' accounts are open to a faster supplier. So are yours.
Three Questions That Expose
What is our median quote turnaround time? Measure from RFQ received to quote sent, not from when someone picked it up.
Of our last 20 lost RFQs, how many were awarded before our quote went out? Ask the reps for the award date and compare it with the send date.
How many "lost on price" deals were also ones where we quoted slower? This separates a pricing problem from a process problem.
Quote desk: pre-checked lines to review, instead of re-keying them
Engineering: only the exceptions, with approved alternates kept for reuse
Sales leadership: a live view of every open RFQ, what is blocked and what is at risk
GM and finance: every discount approved by name, with pricing precedent on record
You Didn't Lose on Price.
You Lost on Timing.
Your win/loss report blames price. In many deals, the buyer had already awarded the PO before your quote arrived.
Gowitek · October 30, 2026
· 6 min read
Your win/loss report says you lost on price. In many of those deals, the buyer had already awarded the PO before your quote arrived. That timing loss never shows up in your hit rate analysis, and it costs bookings, margin, or both.
This post is for sales leaders, general managers and CEOs who run a quote desk. It shows how to find the timing loss in your own pipeline, what causes it, and what it takes to close it.
What is quote turnaround time?
The time from the moment an RFQ reaches your business to the moment the quote is sent to the buyer. Measure it from receipt, not from when someone starts working on it.
Your Win/Loss Report Blames Price. The Real Cause Is Time.
A buyer sends one RFQ to several suppliers. The first credible quote becomes the benchmark every later quote is judged against. A quote that lands on day three can be accurate, complete and well priced, and still lose.
Buyers rarely tell you that you were slow. They say price, or fit. So the opportunity closes as "lost on price" in the CRM, and your team does the only thing it can: it pushes for a deeper discount on the next bid.
The result is margin leakage on deals where price was never the problem.
Hit rate drops, average discount climbs, and the forecast blames the market. We have seen this pattern repeatedly with industrial sales teams.
Buyers Decide in Hours. Most Suppliers Answer in Days.
The window that decides the deal is about one hour. The average response is 42.
Three more numbers show why that gap costs more than a single RFQ:
Pricing Takes an Hour. Finding the Answers Takes Days.
Pricing a quote usually takes about an hour. The rest of the quote cycle goes to work your quote desk should not be doing by hand:
| Step | Where the answer lives | What causes the wait |
|---|---|---|
| Line-item extraction | RFQ as PDF, Word or Excel | Re-keying 40+ lines into a spreadsheet |
| Part matching | Customer description vs. your P/N | Manual catalogue lookup |
| Stock and ship date | ERP and open POs | Checked line by line |
| Vendor lead times | Vendor inboxes | Emails and follow-ups |
| Alternates for discontinued parts | One application engineer | Waiting in their queue |
Most manufacturers have bought the right systems. They have not connected them.
Nearly every manufacturer has the systems. Fewer than one in four has them connected.
The knowledge outside those systems is at greater risk. Deloitte and The Manufacturing Institute estimate 1.9 million US manufacturing roles could go unfilled by 2033 as experienced workers retire. For your quote desk, that is the engineer every alternate request gets routed to.
Three Questions That Expose
Your Real Quote Turnaround Time
You do not need new software to test this. Pull three numbers before your next pipeline review.
| Metric | Healthy | Warning sign |
|---|---|---|
| Median quote turnaround | Same day | More than 24 hours |
| Quotes sent after the award | Rare | More than 2 in 20 |
| "Lost on price" and slower | Rarely overlap | Most overlap |
For the VP of Sales: question three is the one to bring to your next forecast call. It turns a discount debate into a process decision.
If the numbers are healthy, your quote process is not the issue. If they are not, you have found bookings your win/loss report is hiding.
Turn the Answers Into a Revenue Number
A rough sizing is enough to decide whether this belongs on the leadership agenda.
Illustrative
Bookings at risk = lost RFQs × average deal size × share lost to timing
lost RFQs a year
average deal size
lost to timing, not price
200
× $40K
× 20%
= $1.6M in bookings, every year.
Illustrative example. Your numbers will vary. Use question two to set your timing share.
That is before the margin given away in discounts on the deals you did win.
For the GM or CFO: even a conservative timing share usually earns a closer look, because the fix protects bookings and average discount at the same time.
Connect What You Already Know, Without Replacing Your Systems
The traditional fix was a custom integration across CRM, ERP and PLM. Those projects are slow, expensive and brittle, and they never capture the alternates and vendor rules that live in people's heads.
What has changed is that AI can now read an RFQ in whatever format it arrives. It can map each customer description to your part number, with a reason your team can check, and confirm stock, open POs and lead times on the same screen.
That is what Nexus AI does. It sits on top of your ERP, CRM and PLM, and gives each team what it needs:
Every quote still goes out under your team's judgement. Each approved quote also builds pricing precedent and a library of approved alternates, so the next quote gets faster and that knowledge stays when people leave.
Start with last quarter's lost deals
Pull the three numbers this week. If they point to a timing problem, we will walk through how Nexus AI handles one of your recent RFQs, on your own systems and catalogue. No commitment.
Frequently asked questions
What is a good RFQ response time for manufacturers?
Same day is a healthy target. Research on B2B enquiries shows the odds of qualifying an opportunity drop sharply after the first hour, and the average response takes 42 hours (HBR).
Why do manufacturers lose deals they mark as "lost on price"?
Often the buyer awarded the PO before the quote arrived. The first credible quote becomes the benchmark, and buyers rarely say a supplier was slow, so the loss is logged as price.
Why does quoting take days if pricing takes an hour?
Most of the cycle goes to re-keying line items, matching parts, checking stock and open POs, chasing vendor lead times and waiting on an engineer for alternates.
Do we need to replace our ERP or CRM to quote faster?
No. An intelligence layer such as Nexus AI sits on top of your existing ERP, CRM and PLM and reads across them, so nothing is replaced.