A customer emails over a 40-line spreadsheet of part numbers and quantities. Before anyone on your team opens it, the same request has usually landed in competitors' inboxes too. The distributor who returns a complete, priced quote first sets the anchor for the deal — and in most quoting teams, that file is about to sit in a queue while a rep re-keys it line by line.
Quote automation software exists to close that gap. It takes the inbound request — email, PDF, spreadsheet, even photos — and turns it into a complete, priced, ready-to-send quote built from your own catalog and your own pricing, in minutes instead of hours.
This guide covers quote automation for distributors specifically: what the software does, how it works end to end, how it differs from CPQ and proposal tools, what to look for when you buy, and why the payoff shows up in win rate and revenue per quote — not just saved keystrokes.
TL;DR
- Quote automation software turns an inbound request into a sent quote. It reads the email, PDF, or spreadsheet, matches every line to your catalog, applies your customer-specific pricing, and drafts the complete quote — for a rep to review, or to send straight through.
- Faster quotes win more deals. Distributors tell us again and again that quote turnaround is a win-rate lever, not just an efficiency stat — whoever quotes first anchors the deal.
- Most quoting tools automate the wrong half. Templates, approval chains, and e-signature all assume someone already keyed in the line items. For a distributor, turning a messy part-number list into priced lines is the job.
- The payoff compounds past speed: more quotes out the door, a larger share of them won, and bigger quotes when the software surfaces in-catalog alternatives and add-ons while the draft is being built.
What is quote automation software?
Quote automation software takes an inbound quote request — an email, PDF, spreadsheet, even photos — and produces a complete, priced, ready-to-send quote using the distributor's own catalog and pricing. It reads the request, matches each line to the right SKU (including competitor part-number crosses and substitutes for unavailable items), pulls customer-specific pricing and availability, and drafts the full quote automatically. Quote automation replaces the manual middle of quoting — re-keying lines, hunting prices, checking stock — not just the document at the end.
Two neighboring categories often get confused with it. CPQ (configure, price, quote) software is built for companies selling configurable, engineer-to-order products or complex SaaS pricing — it automates configuration rules, not inbound part-number lists. Buyer-side procurement tools sit on the other side of the transaction, helping purchasing teams send RFQs out to vendors; if you field RFQs rather than issue them, see our guide to RFQ automation software — the terminology overlaps, and the seller-side workflow is the same one this post covers.
The first quote in usually wins
Quote turnaround comes up in nearly every conversation we have with distribution sales leaders, and the pattern is consistent: speed decides far more deals than anyone's price list suggests. One distributor we spoke with put it bluntly:
"If you're first, you're probably going to win — even if you're a little more expensive. Especially in that first hour."
The distributors who actually measure their turnaround see the same thing from the data side. One we spoke with had clocked their median written-quote response at more than half a business day — longer on average — and their own conclusion was simple: return the quote faster, win more. What made that distributor unusual is that they could measure it at all. Another distributor told us flatly that they have nothing that lets them track quote turnaround today — and when you can't measure it, the win-rate cost of slow quoting never shows up on a report. It just shows up as deals that quietly went to whoever answered first.
That's the case for quote automation in one sentence: the quote that arrives while the buyer is still at their desk is competing against quotes that haven't been started yet.
Where manual quoting actually loses the deal
The process distributors walk us through, interview after interview, looks remarkably similar. A request arrives as an emailed spreadsheet or PDF — often dozens of lines of part numbers, quantities, and half-described products. A rep re-keys each line into the ERP, looks up the customer's previous price, checks for price increases, and confirms stock. Lines that don't match cleanly need cross-referencing: the customer sent their own part number, or a competitor's, and someone has to translate it. A couple of SKUs are dead or out of stock, so the rep hunts for substitutes. Then the draft might still wait on a pricing approval.
The math on that workflow is unforgiving. Even in the best case — clean part numbers, no cross-referencing — one distributor put the effort at around half a minute per line; lines that need matching or substitution take far longer. It's common for a distributor to field several hundred quote requests a week, and a single emailed RFQ can run thousands of lines. At the extreme, one distributor described receiving a 47,000-line spreadsheet from a single trading partner — their quoting workload was measured in millions of lines a year, and a human was manually triaging which lines were even worth quoting. Another told us a single large bid-list cross-referencing project could consume one employee for two weeks.
The tooling compounds the problem instead of solving it. ERPs and legacy quoting screens often slow down noticeably past a certain line count — one distributor described waiting anywhere from a minute to fifteen just for the system to process a large quote — and said the hardest part of a recent large quote was sourcing substitutes for the handful of lines nobody recognized. Recurring business has its own treadmill: contract and standing quotes need every line re-priced on monthly, quarterly, or annual price changes, by hand.
Add it up and the manual quote costs hours per request. The fastest competitor has already answered.
How quote automation software works: request in, quote out
As a category, quote automation software runs the same four-step flow:
- Ingest the request in any format. Email, PDF, spreadsheet, even photos — the customer doesn't change how they send requests; the software reads what arrives.
- Match every line to your catalog. Part numbers, competitor part numbers, and free-text descriptions get matched to your SKUs, including crosses and in-catalog substitutes for items that are dead or out of stock. Strong matches are labeled as such; weak matches are flagged for a human eye.
- Apply your pricing. Customer-specific pricing, margin rules, and quantity breaks come from your source of truth — the ERP or a dedicated pricing tool — along with live cost and availability.
- Draft the full quote for review — or send it straight through. Every line priced, every substitute noted, ready to go.
Automate quotes end to end — or start with a review step
How much of that flow runs on its own is configurable, and that's the right way to think about it. Most distributors start with reps reviewing every drafted quote. As the matches prove reliable, they let clean, high-confidence quotes flow through automatically — by customer, by deal size, or by match confidence — while flagged lines still come to a rep. Full automation isn't a risk to be managed; it's the destination, reached at whatever pace the data earns. You decide how much runs on its own.
Notice what this flow does that most tools on the market don't. The well-known quoting and CPQ products automate the middle of quoting — templates, pricing approvals, branded documents, e-signature — and quietly assume a rep already keyed in the line items. For a distributor, keying in the line items is the expensive part. Quote automation starts one step earlier, at the inbound request itself.
Quote automation vs. CPQ vs. proposal software
What to look for in quote automation software: a distributor's checklist
- ERP integration depth. The system should pull live customer-specific pricing, cost, and inventory, with your ERP or pricing tool staying the source of truth. One distributor we spoke with set the bar plainly: if the software doesn't pull your prices, it isn't really saving time. Make sure it connects to your ERP without a multi-year integration project.
- Match accuracy on messy formats. Demo it on your real inbound requests — the scanned PDF, the customer's internal part numbers, the vague one-line description — not the vendor's clean sample file.
- Crosses and substitutes. Matching your own part numbers is table stakes. The system should also cross competitor part numbers and propose in-catalog substitutes for dead or out-of-stock items, since those lines are where reps lose the most time.
- Configurable autonomy. Look for confidence-based review you control — not a tool that forces every quote through the same manual gate forever. You should be able to dial automation up by customer, deal size, or match confidence as trust builds.
- A learning engine. The best systems treat every rep edit as a signal, building memory across your company, your customers, and your catalog so the same correction never has to be made twice.
- Cross-sell and upsell at the point of quote. The best systems grow the quote while it's being drafted — surfacing substitutes, complementary items, and likely add-ons — so every quote works your attach rate and wallet share, not just the lines the customer asked for.
- Agentic follow-up. Most quotes die in follow-up limbo, not in a loss column. The best systems keep every quote visible and work it toward close, reminding reps when to re-engage.
Several of these criteria favor platforms over single-purpose point tools, which is worth weighing if you're already thinking about building a distribution software stack with fewer vendors.
The payoff: more quotes out, more revenue per quote
Time savings are the easiest benefit to model, and they're real — minutes per quote instead of hours adds up across hundreds of requests a week. But speed is the entry fee, not the prize. The business case lands on three revenue levers:
- More quotes out the door. When drafting takes minutes, the same team answers every request — including the long-tail lines and oversized bid lists that get triaged into the wastebasket today because nobody has two weeks to spare. Every request that goes unquoted is a deal lost at 100%.
- A higher share of quotes won. First quote in usually wins. Compressing turnaround from hours to minutes doesn't just save labor; it moves you to the front of the line on every deal you were previously answering second or third.
- More revenue per quote. When the system proposes substitutes for dead SKUs and surfaces likely add-ons while the draft is being built, the quote that goes out is bigger and more complete than the request that came in. That's wallet share, captured at the cheapest possible moment — before the order exists.
Quote automation is a growth investment that happens to pay for itself in efficiency, not the other way around.
How Proton automates quoting for distributors
Proton's Order & Quote Entry Automation is built for exactly the workflow above, exclusively for distributors. An inbound request becomes a drafted, priced quote in about 45 seconds — work that takes roughly 15 minutes per email manually. Distributors process 10x more quotes and orders.
Proton connects to any ERP, so quotes draw on your live customer-specific pricing, cost, and inventory. Because it shares a platform with Proton's PIM, enriched product data makes line matching better — messy descriptions and competitor part numbers resolve to the right SKUs more often. And while the draft is being built, Proton surfaces in-catalog alternatives and product recommendations, so reps send quotes that are both faster and bigger. The same platform includes Proton's CRM, so every quote ties back to the account it belongs to and reps get alerts when one goes quiet and needs a follow-up — quotes become tracked records instead of disappearing after they're sent. Review is configurable from day one: start with reps approving everything, and let clean quotes flow through automatically as confidence builds.
If you want to see it on your own catalog and your own inbound requests, book a demo — we work exclusively with distributors.
Frequently asked questions
What is quote automation?
Quote automation is the use of software to turn an inbound quote request — email, PDF, spreadsheet, even photos — into a complete, priced, ready-to-send quote without manual data entry. The software matches requested items to the seller's catalog, applies customer-specific pricing, and drafts the quote for optional review.
How do you automate quoting?
Four steps: ingest the request in whatever format it arrives, match every line to your catalog (including crosses and substitutes), apply your pricing and availability from the ERP or a dedicated pricing tool, and draft the complete quote — routed to a rep for review or sent automatically, depending on how you configure it.
What is CPQ software used for, and is it the same as quote automation?
No. CPQ (configure, price, quote) software is built for configurable and engineer-to-order products — it automates configuration rules and complex pricing logic, and it assumes the deal starts inside a sales process, not an inbound part-number list. Distributor quote automation starts from the inbound request and a catalog. If you sell from stock with customer-specific pricing, CPQ solves a problem you don't have.
What is the best quoting software?
It depends on what you sell. For distributors quoting part-number lists against a catalog, the best fit is quote automation built for distribution — judged on match accuracy, ERP-pricing depth, and how well it handles crosses and substitutes. Proton's Order & Quote Entry Automation is built exclusively for that case.
Can quoting be fully automated?
Yes, and the best implementations get there gradually. Distributors typically start with reps reviewing every drafted quote, then let high-confidence quotes flow through automatically — by customer, deal size, or match confidence — while flagged lines still get a human look. You control the dial.
How does quote automation software handle our pricing?
It applies your existing pricing logic rather than replacing it: customer-specific pricing, margin rules, and quantity breaks are pulled from your ERP or a dedicated pricing tool, which stays the source of truth. The quote reflects what that customer should pay — the same answer your best rep would reach, in seconds.
