Nuo Pixel Solutions · Manufacturing workflow engineering
Turn an incoming RFQ into a traceable quotation workflow.
A focused approach to manufacturing RFQ and quotation automation: structured intake, validated data, explicit costing rules, and human approval before a commercial commitment.
Less copying between systems. More control over the quote.
A request for quotation often arrives as an email, spreadsheet, drawing, or a mixture of all three. Before a price is calculated, someone must identify missing information, confirm the revision, understand the process, and decide who should review it. Automating only the final price field leaves most of that work untouched.
Nuo Pixel Solutions proposes a workflow around those decisions. The starting point is a bounded pilot: one part family, a defined set of input formats, agreed rules, and an estimator who owns the final review. This page describes an engagement approach; it does not claim an existing connection to your ERP or automatic interpretation of every engineering drawing.
Suitable starting point
Repeated quote requests with similar fields, known processes, and identifiable approval rules. Begin where your team can explain how a good quote is produced.
Business owners
Sales operations, estimating, manufacturing engineering, and finance need a common view of what is required, what is uncertain, and who can approve a price.
Common constraints
Legacy systems, inconsistent spreadsheets, drawing revisions, incomplete material specifications, and different commercial rules across customers.
A quotation pipeline with explicit decision gates
Every stage should expose its status. A request waiting for a missing tolerance is different from one waiting for commercial approval. Both need a clear owner and a record of why the quote has not moved forward.
What needs to exist under the interface
| System concern | Technical approach to agree | Why it matters |
|---|---|---|
| Data model | RFQ, line item, part revision, quantity break, material, process, assumption, approval, and quote version. | A revision must not silently overwrite the inputs used for an earlier quote. |
| Calculation rules | Versioned rate tables, unit conversion, setup allocation, scrap factors, rounding, and margin policy. | An estimator needs to reproduce the calculation and explain an exception. |
| Integrations | Documented API or agreed import/export contract, authentication, field mapping, retry behavior, and duplicate detection. | Sending the same event twice should not create two customer quotes. |
| Permissions | Roles for intake, estimating, engineering review, commercial approval, and administration. | Seeing a draft price must not automatically grant permission to issue it. |
| Operations | Audit events, failure queues, backups, retention, monitoring, and a manual fallback. | A workflow needs a recovery path when an external system is unavailable. |
Integration scope depends on the systems you use and the access they support. A CSV exchange may be the right first step when an ERP has no suitable API. We document the tradeoff rather than promise a seamless integration before inspecting the interface.
Where AI can help—and where review remains essential
AI-assisted extraction can propose field values from text, classify an incoming request, or draft a clarification message. Those proposals need validation against the source document and the business rules. A confident-looking answer is not evidence that a material specification or drawing dimension is correct.
For consequential fields, the workflow should preserve the source reference, show uncertainty, and require a named reviewer when the input falls outside the agreed conditions. Geometry analysis, GD&T interpretation, and manufacturability assessment need their own technical evaluation. They should not be implied by a general document extraction feature.
Before using a third-party model or document processor, agree what data may leave your environment, how it is retained, who can access it, and what the contractual restrictions permit. Sensitive drawings should be shared only through an approved channel after access and confidentiality requirements are settled.
For broader context, see our manufacturing AI overview. The RFQ engagement here narrows that discussion to one measurable business workflow.
A pilot that can be evaluated
Baseline the current process
Record active estimating time separately from elapsed turnaround. Identify missing-data requests, revision loops, and representative exceptions.
Replay historical examples
Use an approved sample set with known outcomes. Compare extracted fields and calculated results against reviewed reference data before live use.
Define a go/no-go decision
Agree tolerances, required approvals, unresolved exceptions, and recovery behavior. Expand coverage only when the pilot meets those criteria.
Useful measures may include handling time, field correction rate, missing-information frequency, and the share of requests needing manual intervention. No percentage improvement is promised in advance. The baseline and pilot results determine whether the approach earns a wider rollout.
Questions worth asking before we start
Can this calculate a price directly from a drawing?
Only if the required technical interpretation, costing model, input formats, and validation scope have been established. The safer starting point is assisted intake plus deterministic costing for a well-defined part family, with estimator approval.
Can we keep our current ERP?
Potentially. We first inspect supported interfaces, licensing constraints, and the data contract. The integration may use an API, a controlled import/export process, or a staged manual handoff.
What should we send for an initial discussion?
Describe your manufacturing process, approximate request volume, current estimating tools, and the most common delay. An anonymized field list is useful. Do not upload confidential customer drawings or passwords to the public contact form.
Is this an off-the-shelf quoting product?
This is a proposed custom workflow service. Discovery establishes the fit, implementation scope, dependencies, and commercial terms before any build commitment.
Start with one quotation bottleneck.
Tell us what arrives, where it gets stuck, and which system owns the final quote. We can then discuss a pilot with a clear boundary and a reviewable outcome.