SOLUTIONS · DISTRIBUTORS
Manufacturing and distribution
Email to quote automation for distributors is AI that reads the RFQs and purchase orders landing in your sales inbox, cross-references every line to your own part numbers, prices it from your ERP and customer contracts, and drafts a quote or order your inside sales rep approves before anything reaches the customer. OutcomeCatalyst builds and runs this for wholesale and industrial distributors as an AI agent on top of the ERP you already have. The difference from an OCR tool is context: the agent also checks contract pricing, rate cards and what freight actually cost on the last similar shipment, so the quote is right and still makes money.
What the inbox looks like on a Monday
A contractor sends a PDF takeoff with 140 lines. Half the part numbers are a competitor's. Six are typed from memory. One line just says "same fittings as last job."
Your inside sales rep opens the ERP in one window and the PDF in another and starts keying. She looks up each cross-reference, checks whether this account has contract pricing or falls back to the price sheet, guesses at freight, and gets the quote out on Wednesday. By then the contractor bought from whoever answered first.
That is the problem in the words we hear from distributor owners: we lose quotes we never got to, our best rep spends her day typing, and we quoted freight at one number and paid another. Email has been the main ordering channel for a long time. A Distribution Strategy Group study of more than 3,500 distributor customers found about 74% order by email frequently or very frequently (Distribution Strategy Group, 2016). And the industry knows where AI should go first: in a December 2025 survey of 233 distribution executives, 62% of those implementing AI were using it for order automation (Distribution Strategy Group, 2026).
What the agent does, step by step
Reads the request where it arrives. The agent watches the shared sales inbox and picks up RFQs and POs in the email body, PDF attachments and spreadsheets. It identifies the customer, the ship-to, the requested date and every line item.
Cross-references every part. Customer part numbers, competitor numbers, manufacturer numbers and loose descriptions get matched to your SKUs. It starts from the cross-reference tables you already keep and from what this customer bought before. When a match is uncertain it says so and shows the candidates, instead of picking one quietly.
Prices from your sources, in your order of precedence. Contract pricing first, then customer or class price levels, then the price sheet, with current cost from the ERP so margin is visible on every line. Vendor rate cards and freight contracts sit in the same view.
Checks freight against what it actually cost. This is where most quote tools stop and where margin leaks. The agent compares the freight it is about to quote with the actual freight invoiced on recent shipments of similar weight to the same region, and flags the gap before the quote goes out.
Drafts the quote. It writes the quote in your format, with substitutions, stock positions and lead times called out, and a short note to the rep on anything that needs a judgment call.
Enters the order once the customer says yes. When the PO comes back against that quote, the agent prepares the sales order for the ERP and checks the PO against what was quoted: quantities, prices, ship-to and terms. Mismatches go to the rep, not straight into the system. This is AI order entry for distributors with the quote attached as the check.
The same agent pattern runs further upstream for manufacturers who fabricate to order. Our quote to fabrication agent takes an emailed drawing all the way to a released works order, and the quote to fabrication automation guide walks through how that build is scoped.
The systems it reads
A quote is only as accurate as the context behind it. The agent works from a connected view of the systems your team already flips between, which OC builds as a governed context layer we call the brain:
Email: the shared sales inbox, including attachments and the thread history with each customer.
ERP: item master, cross-reference tables, customer accounts, contract and matrix pricing, cost, inventory by branch, open orders and order history.
Price sheets and rate cards: vendor price files, carrier rate cards and freight contracts, often living in spreadsheets.
Freight invoices: what you were actually billed, so quoted freight can be checked against real cost.
CRM or account notes, where they exist: who the buyer is, what was promised, which substitutions they accept.
We do not ask you to replace the ERP or move to a new warehouse first. The agent reads where the data lives today.
How this differs from order entry point tools
There are good products built specifically for distributor order and quote entry, and you should look at them. Proton's order and quote entry product reads email, PDFs, spreadsheets and scanned documents, matches products using cross-reference and pricing data, applies contract pricing, and drafts quotes and orders for rep review; it lists Prophet 21, Eclipse, Infor SX.e, SAP and NetSuite among its supported ERPs. Prokeep gives distributors a shared inbox for text, email, web chat and fax and converts those messages into quotes with pricing pulled from the ERP. Both are purpose built for distribution, and if your problem is purely the keying, they are a reasonable first look.
OutcomeCatalyst is a different shape of answer. It fits when:
The quote problem is tangled up with margin, so you need freight, rate cards and cost-to-serve checked on each quote as well as the line items read correctly.
Pricing rules live partly in people's heads and partly in spreadsheets, and someone has to capture how your veteran reps actually decide.
You want the same connected context to run other agents later, such as spotting that you buy the same part at three prices, which is what our direct spend agent does.
You do not have a data team and want the work delivered and run for you rather than configured by your staff.
It is not the right fit if you want a self-serve tool your team configures in an afternoon, or if your quotes are simple catalog orders with flat pricing and freight included.
What stays human
Your reps approve every quote and every order before it reaches a customer or posts to the ERP. The agent drafts, checks and flags. People decide on:
Pricing exceptions and anything below your margin floor.
Substitutions the customer has not accepted before.
Freight the agent flagged as out of line with actual cost.
Anything the agent marked as low confidence, which it will tell you rather than guess.
The agent is trained on the rep's corrections. When she always swaps one brand for another on a particular account, that becomes part of how the agent drafts for that account, and she can see the rule it learned.
What to measure
Pick the unit before anything gets built. For this work the countable unit is the quote line, and the measures that matter to an owner are:
Time from RFQ received to quote sent, measured per quote, so you can see the slow tail as well as the average.
Lines touched by a rep per quote: how many lines needed a human correction before approval.
RFQs that never got a quote: the requests that aged out in the inbox on a busy week.
Quoted vs actual freight, per shipment, which is usually the margin number nobody has looked at in a single view.
Order entry errors caught at PO match, before they turn into credits and returns.
We baseline these from your own inbox and ERP history before the agent goes live, so the before and after comes from your data rather than a vendor benchmark.
How a project starts
It starts with a strategy call about one quote desk and its current backlog. From there we pull a sample of real RFQs and POs, map where pricing, cross-references and freight live in your systems, and agree on the unit and the baseline. OC then builds the connections, trains the agent on how your best reps quote, and runs it alongside your team with every draft approved by a person. You are not hiring a data team or running the software yourselves; OC delivers and operates it.
If you are earlier and still deciding where AI for distributors belongs in your business at all, quoting and order entry is a sensible first place because the volume is high, the work is repetitive, and the result is countable. Our post on why AI pilots stall before EBIT explains why we insist on naming that unit first.
Frequently asked questions
We run Prophet 21 (or another distribution ERP). Can it work with that?
The agent works on top of the ERP you already run; we do not ask you to replace it. On the first call we look at your specific ERP and version, how pricing and cross-references are stored, and how orders can be written back, and we tell you plainly what the connection looks like before any work starts.
Does it send quotes to customers automatically?
No. Every quote and every order is approved by a member of your team. The agent prepares the draft, flags what needs a judgment call, and waits.
How does it handle competitor part numbers and vague descriptions?
It matches against your cross-reference tables, manufacturer numbers and the customer's order history. When it is not confident, it shows the rep the likely candidates and why, rather than guessing silently.
Do we need a data team to run this?
No. OC builds the connections, trains the agent and runs it. Your team's job is to approve the agent's work and correct it when it is wrong, which is how it learns your rules.
Do you copy our data into a new warehouse?
No. The agent reads from the systems you already run through a governed context layer. Your ERP stays the system of record.
Why not build this ourselves, or buy a point tool?
You can. Reading a PDF is the easy part. The hard part is pricing precedence, cross-references, freight and the exceptions your veteran reps carry in their heads, and then keeping it running after go-live. Point tools handle the reading and entry well. OC fits when you want that context captured and the work delivered for you. Our buy vs build guide lays out the trade-offs honestly.
What does quoted vs actual freight have to do with quoting?
A quote can be accurate on every line and still lose money if freight was underquoted. The agent checks the freight it is about to quote against what you were actually billed on similar recent shipments, so the gap shows up before the quote goes out instead of at month end.
Sources
Distribution Strategy Group, "The Electronic Postman Always Rings Much More Than Twice," October 2016. distributionstrategy.com
Distribution Strategy Group, "Distributors Reach an AI Inflection Point," Don Davis, February 2026. distributionstrategy.com
Proton, Order and Quote Entry product page, accessed October 6, 2026. proton.ai
Prokeep, homepage, accessed October 6, 2026. prokeep.com
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