/ THE SHORT ANSWER
- 01Use drawing revision and customer context as part of RFQ identity.
- 02Hold quotes when source documents disagree on critical requirements.
- 03Preserve engineering approval and commercial assumptions together.
/ dotSuper point of view
Connects AI document intake to an expensive manufacturing handoff.
Find the costly ambiguity in the inbox
The spreadsheet names revision B, the drawing carries revision C, and the buyer's latest message changes the quantity.
A summariser may combine these into a polished request while hiding the disagreement that an estimator needs to see.
Indian manufacturers considering process improvement can refer to the MSME Lean scheme's waste-reduction objectives and the ZED scheme's quality focus.
[1][2] The workflow here is dotSuper's proposed way to reduce quoting ambiguity.
It is not a scheme requirement or a claim that dotSuper provides government-accredited assessment.
Begin by measuring how often the team asks the same clarification twice.
Record why a quote returns for revision: wrong drawing, missing tolerance, unclear material, changed quantity or commercial assumption.
That list identifies where document organisation can help before the business invests in automated cost estimation.
Create a source pack for every quote
Within it, store customer part number, internal part reference, document type, revision marking and received time.
Received time alone should not establish technical precedence.
An older file can be the approved drawing while a newer email contains an unapproved proposal.
Keep source images available beside extracted dimensions and notes.
Preserve units, symbols and ambiguous characters.
If optical recognition reads a tolerance incorrectly, the reviewer needs to find the exact location quickly.
Highlight missing or conflicting information instead of asking the model to make the most plausible choice.
Define a rule for superseded files.
They can remain in the audit trail but must not appear as the default source for a new estimate.
A drawing approval should record the person, date and scope, including any features requiring separate customer clarification or specialist manufacturing review.
Separate interpretation from authorisation
Engineering confirms the technical basis; estimation confirms the manufacturing approach; sales approves the customer-facing conditions.
A small team may combine roles, but the decisions should remain visible.
The table provides a practical hold policy.
It should be adapted to the factory's product risk and quality system.
Do not use a numerical model confidence threshold as permission to accept a material substitution, infer a missing tolerance or remove an inspection requirement.
A good quote pack includes an assumptions page the customer can understand.
State what is included, what is excluded and which question must be answered before order acceptance.
Keep commercial caveats specific enough to be useful.
Generic wording at the bottom of every quote rarely resolves a particular drawing conflict.
| Conflict | Reviewer | Release evidence |
|---|---|---|
| Drawing revisions disagree | Sales engineer | Customer-approved technical basis |
| Material unclear | Engineering | Confirmed material specification |
| Quantity changed | Estimator | Updated quantity break |
| Tolerance unreadable | Quality or engineering | Legible approved source |
| Delivery assumption changed | Planning | Capacity and commercial approval |
Worked example: the revision that changes the estimate
An estimator initially assumes 20 minutes of machine time per unit for 200 units.
The estimated machine load is 4,000 minutes, or about 66.7 hours.
A revised drawing introduces a feature that adds four minutes per unit under the proposed process.
The revised load becomes 4,800 minutes, or 80 hours.
The difference is 800 minutes, approximately 13.3 hours.
At an assumed internal machine rate of INR 1,200 per hour, the additional machine-time allowance is approximately INR 16,000 before other costs.
These are invented planning inputs, not a tested machining result.
Engineering must establish whether the process and timing are realistic.
The example shows why revision control affects capacity and pricing together.
Faster email drafting would not compensate for estimating the wrong technical version or losing the rationale behind the quoted allowance.
Handle changes after the quote leaves
Show the affected part, feature, quantity or delivery commitment.
Notify the responsible reviewer without automatically issuing a revised price.
The reviewer should assess material, tooling, inspection and schedule implications as appropriate.
Preserve the original quote and its source pack.
Overwriting them makes it difficult to explain what the customer accepted.
If an order arrives against an older quote, the intake process should expose the mismatch before production planning assumes the newest technical requirement is covered.
Watch for commercial information leaking across customers.
Similar part names and reused drawings make retrieval convenient but risky.
Limit search to the permitted customer and opportunity scope, then allow explicitly authorised reference material.
A helpful suggestion should never disclose another buyer's price, drawing or confidential manufacturing requirement.
Make the first pilot an intake improvement
Include both clean requests and messy revision chains.
Define what counts as a complete pack and which unresolved fields should block a quote.
Build the initial assistant around those decisions.
Track time spent locating the approved source, repeated clarification requests and quotes reworked because of intake mistakes.
Compare like-for-like requests so a run of easier parts does not look like an AI improvement.
Keep engineering judgement and final costing with the responsible team throughout the trial.
For a practical starting engagement, bring dotSuper several redacted RFQ chains and the current quote checklist.
An AI Readiness Sprint can define intake fields, revision handling and a reviewer screen.
The deliverable should make the estimator's source basis clearer before the business considers automating any pricing or production commitments.
What this page cannot conclude
- 01Worked machining inputs are illustrative and require process-specific engineering validation.
- 02The article does not claim scheme accreditation or authorise automated technical acceptance.
- 03This article was researched and drafted with AI assistance. Sources and limitations are provided for scrutiny; it is not an independent professional review or a compliance certification.
Sources
- 01MSME Competitive (Lean) Scheme introductionMinistry of MSME · accessed Sep 15, 2026
- 02MSME ZED scheme overviewMinistry of MSME · accessed Sep 15, 2026
This article was researched and drafted with AI assistance. Sources and limitations are provided for scrutiny; it is not an independent professional review or a compliance certification.
Our editorial standard · Found an error? Send a correction with its source.
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dotSuper Research Desk. (September 15, 2026). Stop Quoting From Obsolete Indian Factory Drawings. dotSuper. https://dotsuper.net/feeds/applied-systems/india-factory-rfq-revision-control