Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Construction • $12M Revenue

Case Study 7: Construction Company

Marketing-optimized case study for Canadian SMBs.

$142,000
Annual Savings
395%
ROI
3.5 months
Payback
Construction • $12M Revenue
Industry Focus

Executive Summary

Automated Bidding: AI analyzes project specs, extracts material quantities, pulls current supplier pricing, and generates comprehensive bids with labor estimates.

Challenge

Solution

  • Automated Bidding: AI analyzes project specs, extracts material quantities, pulls current supplier pricing, and generates comprehensive bids with labor estimates.
  • Material Ordering: Predictive ordering system based on project timelines with just-in-time delivery scheduling to minimize on-site storage.
  • Safety Monitoring: Computer vision system analyzes job site photos for PPE compliance, hazard identification, with automated alerts to supervisors.

Technical Stack

Key Metrics

22
Bid preparation time reduced from 22 hours to 10 hours
41%
Bid accuracy improved (cost overruns reduced 41%)
57%
Safety incidents reduced 57%
19%
Material waste reduced 19%
11.2%
Project margins improved from 11.2% to 12.1%

Implementation Timeline

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