Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Construction • 38 Electricians

Case Study 39: Electrical Contracting

Marketing-optimized case study for Canadian SMBs.

$134,000
Annual Savings
405%
ROI
3.3 months
Payback
Construction • 38 Electricians
Industry Focus

Executive Summary

Estimation Automation: AI analyzes blueprints/plans to count fixtures, measure wire runs, and identify panel requirements. Generates material takeoffs and labor estimates.

Challenge

Solution

  • Estimation Automation: AI analyzes blueprints/plans to count fixtures, measure wire runs, and identify panel requirements. Generates material takeoffs and labor estimates.
  • Code Compliance: Automated checking of designs against NEC requirements. Identifies potential violations before installation.
  • Job Scheduling: Optimization algorithm assigns crews based on skills, certifications, location, and material availability. Coordinates with other trades.

Technical Stack

Key Metrics

4.5
Estimate preparation time reduced from 4.5 hours to 45 minutes
28%
Bid accuracy improved (material waste reduced 28%)
81%
Code violations during inspection reduced 81%
74%
Crew utilization increased from 74% to 91%
3
Eliminated 3 FTE estimator roles ($97k savings)

Implementation Timeline

10 weeks including blueprint AI training

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