AI-Assisted Quotation and Knowledge Processes for Technical B2B Companies
From Technical Enquiry to a Verifiable Quotation Draft.
Trixner digital solutions connects emails, PDFs, bills of quantities and internal product knowledge with ERP, DMS and CRM. This makes complex enquiries easier to process, with clear sources, defined approvals and human oversight.
Starting Point
Technical Quotations Rarely Fail for Lack of Knowledge, but Because Information and Handoffs Are Fragmented.
A customer enquiry arrives by email, the specification is provided as a PDF or bill of quantities, product knowledge sits in documents and people’s heads, prices in the ERP and previous solutions in the DMS. Specialists therefore spend time searching, transferring data and asking follow-up questions.
The practical approach does not replace these systems. It connects the actual workflow, prepares information transparently and leaves relevant technical decisions with the responsible people.
Example
This is what a verifiable quotation draft looks like.
An enquiry with a bill of quantities and a drawing does not produce an automatic reply, but a reviewed working basis – with sources, flagged assumptions and open questions.
“Dear Sir or Madam, please find attached the documents for the Linz South project. We kindly request a quotation for the items listed in the BoQ. For execution details, see drawing …”
Items 1–7 taken from the BoQ and matched to the product range.Source: BoQ_Extract.pdf, pages 3–5
Material 1.4571, length 6,400 mm as per drawing.Source: Drawing_1084-A3.pdf
Delivery to site assumed – not specified in the BoQ, flagged in the draft.
Drive power missing from the documents – query to the customer prepared.
Prices from the ERP; dispatch only after review by sales and engineering.
The example shows the structure of the result. Which fields, rules and approvals your process needs is determined from 3–5 real enquiries in the Quotation Process Assessment – with industry-specific context in the KI-Beratung für Maschinenbau.
Solution Components
A Quotation Process Needs More Than an AI Model.
The components are combined to fit the existing system landscape. The initial scope stays focused: clarify the process and metrics first, then test with real enquiries.
End-to-End Workflow
From Document to Working Basis, Not to an Automated Decision.
AI can interpret technical language and inconsistent documents. Binding prices, feasibility, exceptions and approvals still require defined rules, valid system data and subject-matter ownership.
Evidence
Not just concept: productive building blocks and 24 years of delivery.
The AI service line is being built up – so we show the real status instead of glossy references: productive solutions, measurable results from our own operations and the integration experience both are built on.
Transparency: We only name what actually exists – productive systems, ongoing projects and their real status. You will not find invented references here.
Focus · Technical SMEs
For Machinery, Plant Engineering, Metalworking and Technical Building Suppliers.
The approach is particularly suitable for companies with highly configurable products, complex services and many attachments per enquiry. The decisive factor is not the industry alone, but a recurring quotation process that requires technical judgement.
Other document-intensive sectors, including real estate, remain available as complementary solution scenarios.
Organise Complex Inputs
Assign emails, PDFs, bills of quantities and spreadsheets to the correct case.
Make Specialist Knowledge Usable
Use product documents and comparable cases from valid sources.
Hand Over Verifiably
Hand clarifying questions, assumptions and drafts over to specialist teams and systems with full documentation.
Approach
Invest in stages and gain reliable insight early.
01
Initial Assessment
Clarify the current state, target state, data sources and process boundaries.
02
Concept
Define use case, system logic, security framework, and success criteria.
03
Pilot
Build a dependable first version, test it and validate it against real workflows.
04
Integration
Stabilize, document, hand over, and expand step-by-step.
Why Trixner digital solutions?
Connect Existing Systems Instead of Introducing Another Silo.
Since 2002, we have delivered digital processes, web and application systems, and integrations. This experience is particularly valuable where email, documents, business logic and existing enterprise software need to work together.
You receive an honest assessment, a clearly scoped pilot and, if the results justify it, technical integration. Where rules or conventional automation are sufficient, AI is not forced into the process.
In the initial consultation you talk directly to Martin Trixner – founder and technical lead, not a sales team. Depending on project scope, Trixner digital solutions brings in existing customer teams, technology partners and specialised expertise under clear leadership.
Discovery Call
Which Part of Your Quotation Process Consumes Unnecessary Time Today?
In the initial call, we examine a real workflow: incoming items, processing time, knowledge sources, involved systems and expert approvals. This produces a dependable next step, or a clear decision not to pursue an AI pilot.