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How WERIX Is Using Technology to Rethink Sheet Metal Manufacturing

T

Tom

Senior Process Engineer

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Table of Contents

Why Technology Matters in Sheet Metal Manufacturing

Sheet-metal fabrication has historically been a craft-driven industry — skilled operators, manual quoting, and paper-based production tracking. That model works, but it introduces variability: different estimators quote the same part differently, production schedules rely on tribal knowledge, and quality data lives in binders rather than databases. At WERIX, we have been investing in digital tools to give our engineers and operators better information, faster. The idea is straightforward: technology should support the people who know the work — not replace them.

AI-Powered Digital Quoting: Faster, More Consistent

In 2018, WERIX built its first in-house quotation system to standardize how we calculate cost and lead time. In 2025, we upgraded that system with AI-powered capabilities built on a knowledge base of 11 years of production data — laser cutting speeds, bend cycle times, material utilization rates, setup patterns, and thousands of completed orders with verified cost outcomes. The system uses a RAG (Retrieval-Augmented Generation) architecture with a fine-tuned AI model: it finds the most relevant historical production data for each new part geometry, then generates pricing calibrated to our actual equipment performance. When you upload a CAD file, the system draws on actual production records from parts with similar geometry, material, and complexity — then calculates cost based on how our specific machines performed. Every quote is then reviewed and validated by a senior engineer who checks DFM feasibility, confirms material availability, and adjusts for project-specific nuances. This two-layer approach — production-data AI plus senior engineering judgment — is how we deliver accurate, verified pricing within 24 hours, consistently.

WERIX AI-powered quotation calculator — material selection, processing type, dimensions, and instant pricing in one interface
WERIX digital quotation system — AI-driven pricing backed by 11 years of production data, validated by senior engineers
  • Self-developed system — trained on 11 years of WERIX production data, not a third-party license
  • AI generates accurate, data-driven pricing on the first pass — calibrated to our actual equipment performance
  • Every quote reviewed by a senior engineer: DFM verification, material check, and project-specific adjustments
  • Result: faster turnaround, more consistent pricing, and fewer back-and-forth iterations on standard parts
Built on Production Data, Validated by Engineers

Our quotation system runs on a knowledge base of 11 years of WERIX production data — cutting speeds, bend times, material costs, setup patterns, and thousands of completed orders. A RAG (Retrieval-Augmented Generation) architecture with a fine-tuned AI model finds the closest historical matches for each new part and generates pricing based on how our machines actually performed. The result is accurate pricing grounded in real shop-floor data. A senior engineer then reviews every quote for DFM feasibility and project-specific adjustments. The technology handles the data; the engineer handles the decisions.

Digital Production Management

Beyond quoting, WERIX is building digital systems that connect our production floor — from job scheduling and machine monitoring to quality data collection and shipment tracking. These tools help us maintain our 98% on-time delivery rate by giving production managers real-time visibility into every active order, and help us maintain our 98%+ first-pass yield by ensuring inspection data is captured and traceable for every batch.

  • Digital job scheduling: production orders tracked from cutting through finishing in a single system
  • Quality data capture: CMM readings, inspection reports, and FAI data stored digitally — available to you on request
  • Shipment tracking: packing, labeling, and dispatch confirmed through the system before goods leave our facility
  • These systems are evolving — we invest incrementally, testing each tool on the floor before rolling it out fully

Our Approach to Technology Adoption

We do not adopt technology for its own sake. Every tool we build or implement has to answer one question: does it help our engineers and operators do their jobs better? If the answer is yes — faster quotes, fewer errors, better traceability — we invest. If a tool adds complexity without clear value, we skip it. This pragmatic approach means our technology stack is focused, not flashy. It also means we are always iterating: the quotation system we run today is the third version, and it will keep improving as we accumulate more production data.

  • Build vs. buy: we develop core tools in-house (quoting, production tracking) because they need to fit our specific processes
  • Incremental rollout: new tools are tested in one workshop before expanding to the full floor
  • Engineer-first design: every digital tool is designed to assist the engineer, not to automate them away
  • Continuous improvement: our technology roadmap is driven by feedback from the shop floor, not by market trends

FAQ

It analyzes uploaded CAD files against a knowledge base of 11 years of WERIX production data — our actual cutting speeds, bend times, material costs, and setup requirements. A RAG (Retrieval-Augmented Generation) architecture with a fine-tuned AI model finds the closest historical matches and generates pricing calibrated to our equipment. A senior engineer then reviews every quote for DFM feasibility, material availability, and project-specific adjustments. The system handles the data crunching; the engineer handles the final call.

No. We accept the same file formats any fabricator would — STEP, IGES, DXF, DWG. There is no special plugin, no format conversion, and no additional software required on your side. Upload the same files you would send to any supplier.

Many traditional fabricators still rely on manual estimation or third-party quoting software calibrated to generic industry benchmarks. WERIX built a knowledge base from 11 years of production data and uses a RAG-powered fine-tuned AI model to find the most relevant historical data for each new part. This means the pricing is not based on industry averages — it is calibrated to how our specific equipment performed on parts with similar geometry, material, and complexity. Every quote is then validated by a senior engineer. This combination of production-data AI and engineering judgment delivers more accurate pricing than either approach alone.

Written by

T

Tom

Senior Process Engineer

[email protected]

Experienced manufacturing engineer specializing in sheet metal fabrication, CNC machining, and surface finishing. Writes practical guides to help engineers make informed sourcing decisions.

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