Skip to content
ManualZero

Field guide / Manufacturing operations

RFQ intake automation for manufacturing.

RFQ intake automation prepares request details for estimating: it collects stated fields, checks completeness, and routes unclear items for review before data reaches quoting tools.

It supports the preparation around a quote. It does not decide price, manufacturability, capacity, or whether an ambiguous specification is acceptable.

01 / REQUEST DATA

What a manufacturing RFQ can contain

Input groupExamples to capture
Customer requestEmail message, portal export, or forwarded quote request
Part definitionPart number, revision, description, and referenced drawing or part list
Commercial quantitiesRequested quantity, lot sizes, annual usage, or break quantities when stated
Material and finishOnly values explicitly present in the request or its supplied documents
ScheduleRequested delivery date or lead-time requirement
Technical requirementsTolerance, standards, inspection, packaging, and other stated notes

The workflow should preserve each value's source. Missing data stays missing; automation should not infer a material, tolerance, or delivery promise from context.

02 / EXTRACT

Extract stated details

A configured intake can read agreed sources, associate attachments with the RFQ, and assemble fields such as part number, quantity, material, finish, revision, and requested date. Supported file types and document layouts must be confirmed against representative samples before implementation.

03 / VALIDATE

Check completeness

Compare extracted fields with agreed required fields. Check format and presence, keep the original value, and identify which source supplied it. A completeness check can tell an estimator that a field is absent; it cannot decide what the customer intended.

04 / EXCEPTIONS

Route unclear requests to people

Missing fields

Flag absent quantity, revision, material, tolerance, or requested date when required by the agreed intake rules.

Conflicting sources

Show that the email and attachment disagree. Keep both values and point to their source.

Technical judgment

Estimators or engineers review unusual tolerances, manufacturability, standards, and unclear specifications.

Commercial decisions

People set price, margin, delivery commitments, and approval terms.

Exceptions

Duplicate, revised, unreadable, or out-of-scope RFQs enter an explicit review queue.

System of record

Reviewed requests move to existing quoting or ERP software through an agreed handoff.

05 / BEFORE CONFIGURATION

A practical RFQ intake checklist

  1. 01Collect representative RFQs, attachment types, revisions, and known exceptions.
  2. 02Agree which fields are required for each quote path and what counts as missing.
  3. 03Define source precedence when the email and attachment conflict.
  4. 04Specify review owners, queue behavior, and how clarifications are requested.
  5. 05Agree a structured handoff format and preserve the existing system of record.
  6. 06Test normal, incomplete, conflicting, revised, and unreadable requests with reviewers.

Common failure modes

  • Treating OCR output as verified engineering data.
  • Guessing missing material, tolerance, revision, or delivery details.
  • Losing attachment-to-request relationships or source references.
  • Sending exceptions to a queue with no named owner or escalation rule.
  • Writing directly into a quoting system before a person reviews required fields.
  • Expanding file support beyond what has been tested with actual samples.

Map one real RFQ process

A free audit maps the current intake, preparation work, human review points, and a practical next step. No call required.