Somewhere in your shared inbox sits an RFQ: a spreadsheet full of part numbers, line quantities, and a note asking for pricing by end of day. Eventually a rep opens the ERP and starts keying line one — while a competitor across town works the same file.
RFQ automation software exists for this race, because the deal usually goes to whoever gets a complete, priced bid back first. When we interviewed a sales leader at a national heavy-duty truck parts distributor, his view was blunt: whoever quotes first probably wins, even at a slightly higher price — and the odds are never better than in that first hour.
One disambiguation up front, because the term cuts both ways. RFQ automation software, as this guide uses it, is seller-side: it turns an inbound RFQ into a complete, priced quote automatically. Procurement teams looking to send RFQs and compare supplier bids are in a different aisle — buyer-side pointer below. Everyone else — distributors receiving RFQs — this guide is yours: how the software works, why RFP-response tools and CPQ don't solve this, what to look for, and what changes when your quote lands first.
TL;DR
- RFQ automation software is seller-side: it converts an inbound RFQ — email, PDF, spreadsheet — into a complete, priced quote built on your pricing, availability, and business rules.
- Speed decides RFQs. Interview enough distributors and the same conviction keeps surfacing: get the quote back faster and you win more.
- Manual quoting doesn't scale. RFQ files that can run to thousands of lines, each one re-keyed and cross-referenced by hand, with selling hours going to data entry.
What is RFQ automation software?
RFQ automation software turns a request for quote into what the customer wants back: a complete, priced quote, drafted automatically. Whether the RFQ arrives as email text, a PDF, or a spreadsheet, it finds every requested item in your catalog, attaches your pricing and availability to each line, and gives your rep a draft to review in minutes, not hours or days.
- Seller-side RFQ response tools help the companies receiving those RFQs answer them faster and more accurately. That's what this article covers — specifically for wholesale distributors, where the RFQ isn't a long-form proposal but a list of part numbers that needs line-item pricing back fast.
- Buyer-side (procurement) RFQ tools help purchasing teams create RFQs, send them to suppliers, and compare bids. Sourcing suites and spend-management platforms live here.
Zoom out and RFQ response is a specific case of quote automation software — the broader category covering every inbound quote request a distributor fields. The full landscape — including the CPQ and proposal-tool comparison — lives there; this post stays on the RFQ-specific problem: a customer's part list in, your priced quote out, faster than the next guy.
Sending RFQs instead? The buyer-side pointer
If you're on the procurement side, look at sourcing suites and spend-management platforms — built to assemble an RFQ, distribute it to suppliers, collect responses, and compare bids. Nothing else in this article automates that work.
RFQ automation is a speed game — and the first hour decides it
Distributors know this instinctively: the first hour after an RFQ arrives is the highest-probability window to win, even at a slightly higher price. Being first also makes your number the benchmark every later quote gets measured against.
Now look at where the turnaround actually sits. One distributor we sat down with measured their median written-quote return time at 13–14 hours, and the average closer to 30, on par with competitors, by their own assessment, and still not good enough: "If we could return the quote faster, we would win more." Their target is simply getting under 24 hours.
The gap between "first hour" and "30 hours" is the entire opportunity.
But speed is hard to improve when it isn't measured. One distributor named the bottleneck behind slow response times outright: manually cross-referencing customer part numbers against their own. And when we asked a sales leader at another distributor how they track time from quote to close, the answer was: "We have nothing that allows us to track that today."
The manual RFQ response process (and where the hours go)
Distributor interviews surface the same sequence, step for step, when an RFQ hits the inbox:
- The customer picks the format; you live with it. Plain email text, PDFs, Excel files — a few hundred requests a week into one shared inbox is normal, and a single RFQ can stretch to thousands of lines.
- Someone decides what's worth quoting. Bid files balloon — the largest we've heard of ran to 47,000 lines — and since quoting everything by hand is impossible, a person picks, line by line, what gets answered.
- Every line gets typed and translated. Around 30 seconds per line is the floor — a clean, recognizable part number, no lookup. Customer or competitor numbering turns each line into a matching exercise, and the time multiplies.
- Pricing is its own pass. Quantity, the customer's previous price, any increases since — for every line, while past a certain size the ERP itself drags. One oversized bid list can tie up an employee for two weeks.
- The quote finally goes out — hours or days late. Even then it isn't over: every price change sends somebody back through the recurring quotes, line by line.
The tally: deals closed elsewhere while the quote was being built, lines never quoted at all, selling hours spent typing.
What RFQ automation software actually does
Good RFQ software collapses that whole sequence into four steps:
- It takes the RFQ as-is. Email, PDF, spreadsheet, even photos — no portal for the customer to fill out, no template to enforce.
- It resolves every line to a SKU you actually sell — crossing customer and competitor part numbers to your catalog, surfacing in-catalog alternatives when the exact item is unavailable. This is where manual quoting loses most of its hours, so matching accuracy is the make-or-break capability.
- It prices by your rules, not generic ones. Customer-specific pricing, margin guardrails, list-price defaults, warehouse- and branch-aware availability — read live from your ERP.
- It hands back a finished draft for your rep to review, adjust, approve, and send. The judgment stays human wherever you want it; the keystrokes disappear.
None of those steps involve writing prose — which points at the most common category mix-up.
An RFQ is not an RFP — and tools built for one can't answer the other
Search for seller-side software here and the results skew toward RFP-response platforms — tools for writing winning answers to requests for proposal. The two get conflated often enough to spell out the difference, because the wrong category burns an evaluation cycle.
An RFP asks for a document — approach, qualifications, references, terms, with pricing as one section among many. Responding is a writing problem, so RFP software is built around content libraries, boilerplate, and AI-drafted prose for questionnaire items.
An RFQ asks for numbers. The products are already defined; the buyer wants line-item prices, and the win usually goes to whoever returns a complete, accurate list first. No prose to generate — just lines to parse, match, and price by that customer's rules.
That's why an RFP tool does nothing for a distributor staring at a multi-thousand-line parts list: a response library can't say which SKU matches the customer's part number or pull that customer's price from your ERP. The demo tell — generated paragraphs mean RFP software; a line-matched, priced quote assembled from your catalog and ERP data means you're in the right category.
Two kinds of RFQ software: responding vs. sending
Two different products share the "RFQ software" label, split along the buyer/seller line:
- RFQ response automation (this article) — supplier side: parsing, line matching, pricing, and drafting the quote.
- Procurement RFQ software — issuing side: building requests, distributing them to suppliers, and scoring the returned bids.
CPQ comes up alongside both, but it prices product configurations assembled in a configurator — it can't ingest a customer's emailed part list. The full three-way comparison lives in the quote automation guide linked above; for this post, one question settles it — do customers email you part lists you're too slow to price?
A distributor's checklist for buying RFQ automation software
The vendors in this category come from different worlds, so evaluate against the workflow above:
- ERP integration depth. A multi-thousand-line bid only prices correctly if the system reads live pricing, cost, and inventory at quote time; a stale export fails quietly on the bids that matter most. Ask which ERPs are supported natively and whether the connection stays read-only until you choose two-way sync. Across our distributor conversations on every major ERP, integration friction is a top concern — and it's the right concern to have.
- Line-item matching accuracy — and honesty about uncertainty. A common first reaction to these tools: someone tests a vague single word, gets the wrong SKU back, and writes off the whole category. Fair. The answer isn't a vendor promising perfection; it's a system that states its confidence on every line, surfaces weak matches, and sends anything uncertain to a rep.
- Messy-format handling. Email prose, PDF attachments, the occasional monster spreadsheet. Bring your ugliest real RFQ to the demo — a vendor who only runs their own sample is telling you something.
- A pricing engine that runs on your rules — including re-pricing. Customer-specific pricing, previous-price checks, price-increase awareness, margin floors. Recurring bids are a fixture of RFQ work, so pricing captured at quote time should let standing quotes be re-priced when prices move, not rebuilt by hand. Anything not quoting from your live prices isn't saving time.
- Optional rep-in-the-loop review. Review should be a dial you control, not a gate the vendor welds shut: decide per customer, per deal size, or per match confidence which drafts a rep touches and which send on their own.
- An engine that gets smarter the more you use it. Corrections should stick: a rep who fixes a cross-reference once — this customer's number means that SKU — shouldn't see that question again. Memory at every level (company, customer, product) turns review effort into compounding accuracy.
- Cross-sell at the moment of quoting. The strongest tools read what a bid implies, not just what it lists — the fittings that go with the pipe, the consumable that pairs with the tool, the line the customer simply forgot — catching what they'd have come back for anyway. That's why useful suggestions convert and grow every quote.
- Agentic tracking and follow-up. You can't shorten a quote-to-close time you can't see: every RFQ should become a tracked record with dates, statuses, and reminders. The strongest systems add an agent that follows up when a customer goes quiet and works each open quote toward resolution.
That last point is the real dividing line. A lot of point solutions frame this as "we'll help you do it faster." Faster is table stakes. The tools that win are built around a bigger goal — helping you win more and grow revenue — so they think about the whole arc: get the quote out faster, suggest what else the customer needs, then follow up and convert it. Speed plus conversion is what separates the best systems from the rest.
The ROI: what changes when you respond first
Two things move when quote drafting drops from hours to minutes.
Response time stops costing you wins. That first-hour window — the one the truck parts sales leader called your best odds — stops being reserved for whichever RFQ a rep grabs the moment it lands. Quoting faster to win more becomes the default.
Capacity per rep multiplies. Nobody hand-picking lines from a 47,000-line file is making a strategic call — quoting it all manually can't be done. With the machine drafting, the whole file gets quoted — and as the national distributor told us, those large multi-line quotes are where million-dollar bid and contract opportunities live. The bid list that once swallowed two weeks becomes a same-day review.
How Proton automates RFQ response for distributors
Everything above describes a category. Here's how Proton's Order & Quote Entry Automation fits the definition.
Proton runs the four steps above: parse the RFQ, resolve every line to your SKUs with alternatives queued up, price the draft from your data; your rep reviews, approves, and sends to the ERP. An RFQ email that costs a rep about 15 minutes of manual processing is drafted in roughly 45 seconds — how distributors put 10x more quotes and orders through the same team.
On the "will it work with our ERP" question: Proton connects to any ERP, and the two stay in sync. Your ERP remains the source of truth, and every draft is built from your own product, pricing, and inventory data.
And because it's part of one platform rather than another point tool, quote automation only gets stronger as you add to it. It works alongside Proton's CRM for wholesale distributors: reps see automated quotes tied to their accounts and get alerts when quotes need follow-up. And Proton's PIM cleans and enriches the product data your matching depends on. If consolidating your distribution software around fewer tools is on your roadmap, this is the argument in practice.
If you'd like to watch it run on your own RFQs — your formats, your pricing, your ERP — book a demo. Distributors are the only customers we serve.
Frequently asked questions
What is RFQ automation software?
Seller-side software that turns an inbound request for quote into a finished, priced quote without manual entry: lines resolved against your catalog, priced from your ERP data, and drafted for a rep to approve and send within minutes.
What is the difference between an RFQ and an RFP?
An RFQ (request for quote) asks for line-item pricing on defined products and quantities — a part list that needs prices back. An RFP (request for proposal) asks for a broader written proposal: approach, qualifications, and terms, with pricing as one section. Distributors often live in RFQ territory, which is why tools that auto-write proposal text don't solve the distributor's quoting problem.
Can the RFQ response process be fully automated?
It can — and for a growing share of requests, it should. The technology runs the whole path: parse, match, price, send. The real question is sequencing: most distributors begin with a rep approving every draft, then release the cleanest, highest-confidence quotes to go out untouched. Proton is built around that dial — weak matches get flagged, and you set how far the autonomy goes.
What is the difference between RFQ software and CPQ software?
CPQ helps a rep or buyer configure a complex product and price the configuration. RFQ response software starts from the customer's inbound request — an emailed part list — and automates matching, pricing, and quote assembly. CPQ builds quotes from a configurator; RFQ automation builds them from whatever the customer sent.
How does RFQ automation handle our pricing?
It reads from your system of record — the ERP or a dedicated pricing tool, if that's where prices live — rather than keeping its own price file. Customer prices, costs, and inventory come in live; your rules apply on top: previous-price checks, increase awareness, margin guardrails, list-price defaults. Pricing is captured at quote time, so recurring quotes get flagged for repricing rather than rebuilt.
What are the benefits of automating RFQ responses? Four: speed (the quote goes back while the deal is open), accuracy (lines matched with stated confidence, review where you want it), capacity (the same team answers its full weekly request volume), and visibility (every RFQ leaves a tracked record with follow-up reminders).
Is RFQ automation only for large distributors? No — the speed advantage arguably matters more for lean teams. A large distributor can throw a quote team at a multi-thousand-line RFQ; a 10-rep distributor can't, so the RFQs they can't turn fast go to whoever responds first. Automation lets a small team quote like a large one without adding headcount.
