How to automate RFQ intake for distributors and manufacturers

Where quote requests get lost

In most distribution and manufacturing businesses, requests for quotation arrive through several doors at once: a website form, emails to individual reps, a shared sales inbox, PDF attachments, and phone calls written up later. Each door has its own habits, and none of them guarantees that a request gets an owner.

• Free-text requests. Part numbers, quantities, and dates are buried in email bodies and attachments, so someone has to retype them before any quoting can start.
• No single queue. A request sent to one rep's inbox is invisible to everyone else, including while that rep is away.
• No due date. Without an agreed response time, the easy requests get answered and the awkward ones wait.
• Duplicates and orphans. The same request arrives twice, or a customer's follow-up never gets connected to the original.
• No record of what was lost. An unanswered request does not appear in any report, so its cost stays invisible.

A request that never gets answered cannot be won, and in competitive quoting a slow answer often loses to a faster one. Automating intake fixes the part that happens before anyone quotes: every request captured, complete, owned, and tracked.

What an automated RFQ intake flow looks like

1. Capture. A structured web form collects what your team needs to quote: company, contact, part numbers or descriptions, quantities, required date, and attachments. Emails sent to a dedicated quotes address feed the same pipeline.
2. Extract. For emails and attachments, AI pulls the customer, part numbers, quantities, and dates into structured fields, and flags anything it is not confident about for a person to check.
3. Match. The customer is matched to an existing account in your CRM, and part numbers are checked against your catalogue or ERP. Unknown parts and possible substitutes are flagged, never guessed.
4. Route. The request is assigned to an owner by territory, product line, or account, with a due date based on the response time you have agreed internally.
5. Acknowledge. The customer receives an automatic confirmation that the request arrived and when to expect a reply.
6. Track. The request becomes an open item in the CRM, with a reminder before the due date and an alert if it goes overdue.
7. Report. Volume, response time, and outcome by source, customer, and product line update on their own.

What gets automated and what stays with your team

Where AI helps, and where it should not decide

AI is most useful at the messy front of the process: reading a free-text email or a PDF and turning it into structured fields. It also helps when a customer quotes a competitor's part number or an outdated description, by suggesting likely matches from your catalogue. In both cases it should show how confident it is and send uncertain fields to a person.

AI should not set prices or commit to delivery dates. Those decisions depend on margins, stock, lead times, and the customer relationship, and they belong with your pricing rules and your sales team. If you want AI to help reps answer technical questions while they quote, ground it in your own part data, manuals, and past quotes: the approach behind the internal copilots we build under AI integrations.

The systems it connects

Automating RFQ intake rarely requires new core systems. It connects the ones you already run:

• Your website, for the structured request form.
• Your email platform, such as Microsoft 365 or Google Workspace, for a dedicated quotes address.
• Your CRM, such as HubSpot or Pipedrive, as the single queue and the record of every request.
• Your ERP or inventory system, for part numbers, stock, and pricing data. Where there is no API, a scheduled export can often do the job.
• Slack or Microsoft Teams, for assignment notices and overdue alerts.

The workflow itself can run on n8n, Make, or Zapier, with custom code where no connector exists. Our AI automation page covers how we build and monitor these workflows.

How to roll it out

1. Map the current process with the people who handle quotes today: every door requests come through, and what happens after each one.
2. Define a complete RFQ. Agree on the minimum fields a request needs before anyone can quote it.
3. Start with the web form. Route form requests into the CRM with an owner, a due date, and an acknowledgement. It is the simplest path, and it creates the queue everything else will feed.
4. Add the email path, with extraction and a review step for uncertain fields.
5. Add catalogue matching once the queue is working and the team trusts it.
6. Review weekly for the first month, and adjust routing rules and required fields around whatever the team keeps working around.

What to measure

Record a baseline before launch, even a rough one, so you can tell whether the change worked:

• Time to first response, from request received to acknowledgement or first contact.
• Time to quote, from request received to quote sent.
• Complete on arrival, the share of requests that arrive with every required field.
• Unanswered requests, those with no quote and no decision after the due date.
• Win rate by source and product line, once enough quotes have closed to compare.

If your quote requests are spread across inboxes and spreadsheets, send us a short description of how they arrive today. We will map the flow and scope the smallest version that gets every request into one queue.