Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Construction • Residential & Commercial

Case Study 53: Flooring Company

Marketing-optimized case study for Canadian SMBs.

$122,000
Annual Savings
430%
ROI
3.0 months
Payback
Construction • Residential & Commercial
Industry Focus

Executive Summary

Visual Measurement: Computer vision analyzes room photos/videos to calculate square footage, identify obstacles, and measure irregular spaces. Generates material lists with waste factors.

Challenge

Solution

  • Visual Measurement: Computer vision analyzes room photos/videos to calculate square footage, identify obstacles, and measure irregular spaces. Generates material lists with waste factors.
  • Material Visualization: AI-powered tool lets customers visualize different flooring products in their actual rooms using uploaded photos. Shows different patterns and plank directions.
  • Installation Scheduling: Optimization algorithm schedules crews considering material delivery dates, subfloor prep requirements, acclimation time, and customer availability.

Technical Stack

Key Metrics

72
Estimate turnaround reduced from 72 hours to 4 hours
26%
Measurement accuracy improved (material waste reduced 26%)
34%
Close rate improved from 34% to 49% (visualization helps decisions)
71%
Installation crew utilization increased from 71% to 88%
2
Eliminated 2 FTE estimator roles ($74k savings)

Implementation Timeline

10 weeks including CV model training and material database setup

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