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AI RFQ intake for metal fabricators: prepare a complete estimating packet

Estimators get one reviewable packet with the customer's drawings, quantity breaks and finish question, plus the prior quotes and unknowns that decide whether pricing can start.

Author
Ignacio Malpartida · GTM Engineer
Published
Read time
4 min read
AI RFQ intake for metal fabricators: prepare a complete estimating packet
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The operating decision

A metal-fabrication RFQ Genie can turn customer email and drawing attachments into a structured estimating packet with traceable source references. Its job is to identify the requested part, revision, material, quantity breaks, finish and delivery expectation, then show what remains unknown. It should reuse approved customer and part references where they exist. Missing tolerances, conflicting documents and manufacturing assumptions belong with estimating or engineering, not in an agent-generated production instruction.

Explore the complete metal fabrication and machining integration and automation hub for the systems and processes around this guide.

Summary card: RFQ intake Genie for metal fabrication estimating packets

What this looks like in metal fabrication and machining

A fabricator receives an RFQ containing two drawings, a spreadsheet of quantity breaks and an email asking for a faster finish option. An estimator spends the first part of the review locating prior quotes and discovering that one drawing supersedes a part already in the CRM. A Genie can collect those references and arrange the request into one reviewable packet. The estimator should immediately see the original request, the likely existing part, the changed finish question and any information needed before pricing can be responsibly prepared.

Records, ownership, and update rules

RecordOwnerOperating rule
RFQ packetEstimating operationsKeep the message, attachments and customer request together under one intake identity.
Part and revision candidateEngineeringMatch against approved part history while marking uncertain references as candidates.
Quantity-break requestEstimatingPreserve each requested quantity and its context rather than summing alternatives into one order quantity.
Open specification questionAssigned reviewerRecord the missing information, source conflict and person responsible for obtaining an answer.
Record ownership diagram: RFQ packet, Part and revision candidate, Quantity-break request
Define the record owner and the rule before enabling updates.

Work through the process

  1. 01
    Define an RFQ-specific intake
    Separate quotation requests from purchase orders, drawing revisions and general inquiries. Keep the Genie’s permitted outcome to an estimating packet. A request for price is not an accepted order and must not create production demand.
  2. 02
    Extract the commercial and technical references
    Collect customer part, drawing revision, requested material, finish, quantities and dates with evidence. Preserve the customer’s wording where meaning is uncertain. Do not fill in a tolerance, alloy condition or finish specification because a previous quote used one.
  3. 03
    Find relevant history without inheriting approval
    Locate approved part records and prior quotes using the actual references. Present useful history to the estimator, including the revision and date. A historical quote can guide investigation but must not silently authorize today’s price or process assumptions.
  4. 04
    Deliver a reviewable packet and follow-up list
    Show the structured request, source documents, likely matches and unresolved questions together. Let the estimator approve the packet, request clarification or reject a misleading match. Record the accepted packet version before it becomes the basis of a quote.
4-step operating sequence: RFQ intake Genie for metal fabrication estimating packets
Follow the operating sequence; unresolved exceptions return to a responsible reviewer.

Handle the exceptions explicitly

The email mentions a finish absent from the drawing

Show the discrepancy explicitly and request the governing instruction. Do not choose the more convenient finish automatically.

Quantity breaks appear in several documents

Preserve their source and identify inconsistent sets. Ask estimating which options should be quoted.

A familiar part has a new revision

Link the history as context while routing the new revision for review. Do not assume repeat-part economics still apply.

What to verify before expanding

  • Every extracted specification has a source reference or a clearly marked missing state.
  • Requested quantity alternatives remain separate from accepted demand.
  • Prior quotes are labeled as historical context with their applicable revision.
  • The estimator can approve a defined packet version without accepting unresolved assumptions.
Book a demo for metal fabrication and machining integration and automation

Connect this process to the rest of your operation

Explore Stacksync AI agents (Genies) and scope the records and actions against your actual systems. Book a demo with a real RFQ packet example and the exception your team handles most often, for example the email mentions a finish absent from the drawing.

The shared architecture guide covers record matching, ownership, and recovery across systems.

Technical references

Book a demo for metal fabrication and machining integration and automation

FAQ

Frequently asked questions

Can this Genie produce the final manufacturing quote?
It can help assemble inputs and draft a proposal if scoped to do so, but estimating owns pricing and manufacturing assumptions. Begin by proving packet accuracy before extending the workflow.
How should the first RFQ set be selected?
Use common customer document patterns with real revision and quantity-break variation. Include incomplete requests so the test verifies useful clarification rather than only easy extraction.
Which RFQ packet measures show the Genie is helping estimating?
Compare time to a review-ready packet, clarification cycles and errors discovered after estimating starts. Count an incomplete packet as incomplete even if the agent processed the attachment successfully.

About the author

Ignacio Malpartida
Ignacio Malpartida
GTM Engineer

Ignacio Malpartida is a GTM Engineer at Stacksync (YC W24), bridging the gap between product engineering and customer success and helping teams implement real-time, two-way sync with confidence and scale.

All posts by Ignacio Malpartida

About Stacksync

Stacksync powers real-time, two-way sync between CRMs, ERPs, and databases. Engineers sync data at scale and automate workflows, not dirty API plumbing.

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