Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Manufacturing • Custom Metal Fabrication

Case Study 56: Welding & Fabrication Shop

Marketing-optimized case study for Canadian SMBs.

$138,000
Annual Savings
410%
ROI
3.2 months
Payback
Manufacturing • Custom Metal Fabrication
Industry Focus

Executive Summary

Drawing Analysis: AI analyzes customer sketches, technical drawings, and photos to generate 3D models, material takeoffs, and welding time estimates.

Challenge

Solution

  • Drawing Analysis: AI analyzes customer sketches, technical drawings, and photos to generate 3D models, material takeoffs, and welding time estimates.
  • Cut Optimization: Nesting algorithm optimizes material layout for plasma/laser cutting. Minimizes waste and groups jobs to reduce setup changes.
  • Job Costing: Automated cost tracking by job comparing estimated vs. actual material usage, labor hours, and machine time. Improves future estimates.

Technical Stack

Key Metrics

3
Quote turnaround reduced from 3 days to 6 hours
34%
Material waste reduced 34% through optimized nesting
8%
Quote accuracy improved (actual costs within 8% of estimate)
29%
Job throughput increased 29%
2
Eliminated 2 FTE estimator roles ($81k savings)

Implementation Timeline

11 weeks including drawing analysis AI training

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