Industry
AI automation for manufacturers: RFQs, order entry and order status
WorkflowPal builds AI workflows that read emailed RFQs and purchase orders, draft the quote or order for a person to approve, and answer “where’s my order?” emails from ERP data. We have no manufacturing case study yet. For a freight brokerage, the same pattern cut quote prep from about 45 minutes to under 5 minutes.
- Trigger
- AI step
- Person decides
- Your systems
- TriggerSpot-quote request arrives
- AI stepRate lookups
- AI stepCarrier vetting
- AI stepLoad board checks
- Person decidesBroker reviews and sendspricing judgment stays with the broker
- minutes to prepare a spot quote
- 45tounder 5
- loads per broker per day, no added headcount
- 8to14
Where do inside sales and customer service teams lose the most time?
- Reading RFQs from email bodies and attachments, then pulling out specs, materials and quantities.
- Keying purchase orders into the ERP line by line, and catching mismatches against the quote.
- “Where’s my order?” emails: someone checks the ERP, maybe walks the floor, then writes back. Multiply by every open order.
- Chasing missing information (drawings, quantities, ship-to details) before a quote can go out.
What can AI automate for a manufacturer?
| Workflow | Today | With automation | Plugs into |
|---|---|---|---|
| RFQ intake and quoting | Inside sales reads each RFQ and builds the quote by hand | Specs and quantities extracted; quote drafted from your pricing rules for approval | Email, ERP, spreadsheets |
| PO and order entry | POs retyped line by line into the ERP | Order drafted in the ERP from the PO and checked against the quote; a person approves | ERP, email |
| Order-status replies | Someone checks the ERP and writes back | Reply drafted from ERP data; only exceptions go to a person | ERP, email |
| Missing-info follow-up | Ad-hoc email chasing | Automatic follow-up listing exactly what is missing |
Anything that goes to a customer, a candidate or a carrier, or changes a record, can wait for a person to approve it until you trust it.
What results have manufacturing clients seen?
We don’t have a manufacturing case study to share yet, and we won’t invent one. The closest match is a freight brokerage, where the same pattern (read the request, gather the data, draft the quote for a person to send) produced this:
- minutes to prepare a spot quote45tounder 5freight brokerage case study: minutes to prepare a spot quote
Source: a freight brokerage, not a manufacturer. Read the freight spot-quote case study.
Will it work with our existing tools?
Yes. We build on the tools you already run (your ERP, email and spreadsheets), so nothing gets ripped out and your team has nothing new to learn. If a system has an API, an export or a shared inbox, we can usually work with it. The audit confirms this for your specific stack before you commit to anything.
How do we start?
Request a free workflow audit. Tell us how an RFQ moves from inbox to quote to order. You get back a one-page plan: the 3 tasks worth automating first, hours saved, and what a build would cost. It takes about 15 minutes of your time, and there is no obligation to buy anything.
Prefer to talk first? Book a 30-minute call.
Frequently asked questions
Do we have to change ERP?
No. The workflows plug into the ERP you already run, plus email and spreadsheets. Nothing gets ripped out or replaced.
Who approves quotes and orders?
Your team. Every drafted quote and order waits for a person to approve it. You can later let low-risk categories go through automatically if you choose.
Can it read attachments and drawings?
Text-based PDFs, spreadsheets and email bodies are read reliably. Scanned documents and drawings vary a lot, so the audit tests samples of yours before promising anything.
What happens when a PO doesn’t match the quote?
It is flagged as an exception and sent to a person with both documents and the differences highlighted, instead of being entered.