MTO/ETO manufacturing
DocBeaver helps make-to-order and engineer-to-order manufacturers reduce manual document work across enquiry, engineering, procurement, production, quality and handover.
We implement custom workflow analysis, integrations, AI-assisted document processing, dashboards and controlled automation around the systems you already use. This is not a ready-made SaaS product; each implementation is configured around real document types, approval rules and operating constraints.
Target reduction across document-heavy workflow areas
RFQs, drawings, specifications, tender packs and email trails arrive through shared inboxes, CRM records, SharePoint folders and customer portals.
Document intake, classification and extraction prepare bid/no-bid checks, surface missing information and route exceptions to estimating, engineering or commercial approval.
Quotes, assumptions, CPQ outputs and Excel calculators are compared by hand against customer purchase orders before acceptance.
Automated comparison workflows check PO versus quote, delivery dates, commercial terms, ordered items, drawing revisions and unresolved assumptions.
PDM, PLM, ERP and production teams can hold different views of released drawings, BOMs, revisions and engineering changes.
PDM/PLM-to-ERP checks compare released BOMs, drawing revisions, part data and live-job impact before purchasing or production proceeds.
Certificates, acknowledgements, material documents, inspection records and corrective action responses are chased through inboxes and portals.
Supplier document workflows track required evidence by PO, part, material, batch, serial number, heat number, job and delivery date.
NCRs, concessions, CAPAs and audit evidence often sit across QMS, ERP, emails, inspection records, supplier correspondence and spreadsheets.
Evidence extraction and document linking connect NCRs to drawings, jobs, purchase orders, suppliers, concessions and corrective actions.
Drawings, as-built records, certificates, test results, O&M manuals, commissioning documents and delivery paperwork are assembled late.
Live handover-pack tracking flags missing, outdated or unapproved documents before they block shipment, installation or customer acceptance.
RFQs often arrive with drawings, specifications, email trails, tender packs and unclear assumptions. Estimators and engineers spend time identifying relevant documents, extracting requirements and checking whether similar work has been quoted before.
Target reduction in RFQ administration time, with quote pack preparation typically 20-40% faster.
Customer purchase orders may not match the quotation. Delivery dates, specifications, payment terms, drawing revisions and commercial assumptions can change between quote and order.
Target reduction in contract review preparation time, with fewer missed document discrepancies.
In ETO environments, drawings, BOMs and design changes may continue to evolve after order acceptance. Manual transfer of BOMs and revisions into ERP creates delay and production risk.
Target reduction in BOM and revision re-keying, with engineering-to-ERP handover typically 25-45% faster.
Supplier documents are frequently chased manually, including acknowledgements, certificates of conformity, material certificates, delivery notes, subcontractor inspection records and corrective action responses.
Target reduction in supplier document chasing, with fewer goods-in or despatch delays caused by missing paperwork.
NCRs, concessions, CAPAs and audit evidence may be split between QMS, ERP, emails, inspection records, supplier correspondence and spreadsheets.
Target reduction in NCR administration, with CAPA and audit evidence gathering typically 30-50% faster.
Handover packs are often assembled late from drawings, as-built records, test results, certificates, O&M manuals, commissioning documents, delivery paperwork and warranty information.
Target reduction in handover pack assembly time, with fewer late-stage document gaps.
Document-control dashboard
DocBeaver can implement dashboards that show RFQs waiting for technical review, orders requiring contract review, jobs with missing drawings or BOMs, supplier documents due or rejected, NCRs awaiting action and handover packs with missing evidence.
AI can prepare evidence, extract data, compare records and identify exceptions. Final approval remains with the responsible person or function where decisions affect cost, quality, compliance, release status or customer commitment.
Implementation model
The first implementation usually focuses on a small number of high-value workflows such as RFQ intake, PO-versus-quote checks, supplier certificate tracking, BOM and drawing revision checks, NCR evidence gathering or handover-pack readiness.
Estimated efficiency ranges
These are implementation targets, not fixed guarantees. Actual results depend on document volume, system access, data quality, workflow complexity and the level of integration possible.
| Workflow area | Typical automation target |
|---|---|
| RFQ intake and quote pack preparation | 20-40% faster preparation |
| Contract review checks | 40-70% faster preparation |
| BOM, revision and job-pack checks | 50-85% less re-keying and manual comparison |
| Supplier document chasing | 30-55% reduction |
| NCR evidence gathering | 30-50% faster evidence collection |
| Handover pack assembly | 50-80% faster assembly |
| General document search and status chasing | 40-60% reduction |
Start with one workflow across enquiry, engineering, procurement, production, quality or handover, then expand once the control model is proven.
