CAD geometry analysis
The system extracts manufacturing-relevant geometry and converts uploaded model data into a consistent basis for quotation.
Case study · Manufacturing AI
From days of manual estimating to an explainable quotation workflow.
Wavesteam designed an AI-assisted quotation platform for a mid-sized mold manufacturer, combining CAD analysis, historical-part retrieval, configurable costing, and specialist approval in one workflow.
2–3 days → minutes
Target quotation turnaround
Comparable-part search
Historical knowledge brought into the workflow
Human approval
Exceptions remain under specialist control
The business challenge
Quotation speed depended on scarce engineering experience.
Each request required engineers to inspect a model, find comparable work, interpret process requirements, and rebuild the cost calculation. The work competed with production engineering priorities and made response time difficult to predict.
Historical quotations existed, but their value was limited by inconsistent structure and dependence on individual memory. Faster output alone would not be enough: commercial teams also needed a cost breakdown they could understand and a clear route for specialist review.
Solution design
AI supports the estimator; business rules keep the decision accountable.
Comparable-part retrieval
Historical parts and quotations become searchable operating knowledge, helping estimators find relevant precedents without relying on memory alone.
Explainable cost logic
Material, machining, treatment, tooling, and commercial rules are calculated as visible components that authorized teams can review and adjust.
Review and approval workflow
Confidence thresholds and exception rules route uncertain quotations to specialists while routine work moves through a controlled approval path.
Quotation workflow
A repeatable path from model upload to approved commercial quote.
Upload the model
Sales or engineering uploads the supported CAD file with the commercial context required for a quote.
Analyse manufacturing features
The platform identifies geometry, material assumptions, and process-relevant attributes.
Retrieve comparable work
Similar historical parts and prior quotation decisions provide an auditable point of reference.
Build the cost model
Configured rules assemble material, machining, treatment, tooling, margin, and exception allowances.
Review and issue
Specialists review low-confidence items and release an approved quotation with its supporting breakdown.
What changed for the client
Routine quotations could move through a consistent system instead of waiting for a complete manual reconstruction. Estimators retained control of exceptions and commercial judgment.
Historical work became a reusable asset, costing logic became easier to review, and quotation decisions could be traced across sales and engineering teams.
The resulting platform established a foundation for controlled iteration as more parts, process rules, and verified outcomes became available.
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