Technical quotation processes · Machinery manufacturing · Stuttgart
Turn technical enquiries into a reviewable quotation basis
I help machinery manufacturers turn incomplete enquiries into a reviewable basis for sales and engineering.
Clear quotation process · approved rules · human review
- InputEmail · specification · photos
- StructureRequirements and sources
- CheckGaps · contradictions · risks
- Calculateapproved rules
- ApproveSales engineer
Current situation
Why the first quotation phase requires so much coordination
Technical enquiries are often spread across emails, specifications, PDFs, photos and spreadsheets. The details must be brought together before a reliable assessment.
The useful first step is traceable preparation for a technical decision, not an automatically generated quotation.
- Relevant product, performance or interface data is missing.
- Documents contain conflicting values or assumptions.
- Sales engineers repeatedly clarify the same basic questions.
- Budget knowledge is held in spreadsheets, rules or individual experience.
- Assumptions and exclusions are lost during handover to engineering.
Process
From customer enquiry to human approval
- Step 1
Capture the enquiry
Emails, specifications, PDFs, photos, notes and form data are collected together with their sources.
- Step 2
Structure requirements
Information is mapped to the approved schema for the selected product or solution area.
- Step 3
Review open points
Missing information, contradictions, assumptions, follow-up questions and risks remain visible.
- Step 4
Prepare a budget basis
Only approved modules, tables, factors and formulas may contribute internal budget values.
- Step 5
Human review and approval
A sales engineer reviews the result before it is used in customer communication, costing, engineering or the CRM.
Internal RFQ copilot
What the internal RFQ copilot prepares
The copilot works internally and within a clearly defined technical scope. It prepares information for sales and engineering; it does not replace their decision.
Structured requirements record
Requirements, units, sources and status are brought into one shared schema.
Missing information
Required inputs for the first technical assessment are clearly marked.
Contradictions and risks
Conflicting values, unconfirmed assumptions and technical blockers remain visible.
Prioritised follow-up questions
Open points become a focused question list for the customer, sales or engineering.
Rule-based budget basis
Internal values come only from approved modules, tables, factors and formulas.
Clean handover
The reviewed result can be passed to sales, engineering, calculation or CRM.
Limits and control
Where rules end and engineering begins
AI can interpret documents, but it cannot take responsibility for technical feasibility, costs or margin.
The system may
- extract information and link it to its source;
- map terms into an approved requirements schema;
- flag missing information, contradictions and risks;
- suggest follow-up questions;
- apply deterministic rules and versioned tables.
The system must not
- invent prices, modules or dimensions;
- confirm technical feasibility by itself;
- approve margins, assumptions or risks;
- send a customer response or quotation automatically;
- silently process cases outside the defined scope.
Who it is for
For small and medium-sized machinery manufacturers
The approach can fit regardless of the machinery they build when part of the technical quotation process can be described consistently and scoped clearly.
- One product or solution area can be clearly defined.
- Inputs, modules, options or technical limits repeat across enquiries.
- Historical enquiries, checklists, tables or approved rules are usable.
- A responsible expert can review rules and results.
- The enquiry volume justifies structured preparation.
Approach
A controlled path to implementation
- Step 1
RFQ readiness workshop
Assess process, volume, data, rules and risks. The outcome can be go, conditional go or no-go.
- Step 2
Historical evaluation
Use previous enquiries and approved calculations to test the schema, sources, rules and boundaries.
- Step 3
Shadow-mode pilot
Process new cases alongside the existing workflow without automating customer communication or official calculations.
- Step 4
Limited internal rollout
Extend internal use only after rules are stable and the reviewed quality is accepted.
UX Engineer with a mechanical engineering background
I currently work as a UX Engineer for digital processes and automation. I design interfaces and workflows that make complex information understandable and reviewable.
Before moving into software and digitalisation, I spent around eight years in special-purpose machinery and industrial automation. Today I combine that background with UX and digital product work.
Further automation
Does another technical or operational process consume unnecessary time?
In addition to technical quotation processes, I support clearly scoped automation, document workflows and system integrations.
Frequently asked questions
Questions about technical enquiry qualification
Who is this suitable for?
Small and medium-sized machinery manufacturers, regardless of the machinery they build, provided part of the quotation process can be described consistently.
Does a CPQ system need to be in place?
No. A pilot can start before CPQ and first structure requirements, sources, gaps and approved calculation rules.
Can AI set prices?
No. Prices and budget values may come only from approved tables, modules, factors or formulas. AI may classify information, but it must not invent a price.
Are customers contacted automatically?
Not in the initial pilot. The system works internally. Questions and results are used only after human review.
When should the process not be automated?
When volume is too low, projects are barely repeatable, rules cannot be maintained or every first assessment requires new trials and detailed engineering.
Next step
Is your quotation process suitable for this approach?
Describe the quotation process, approximate enquiry volume, roles involved and main bottleneck. I will assess whether a clearly scoped review is useful.
No autonomous quotation. No invented prices. Human approval remains required.