Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Landscaping • 16 Crews

Case Study 46: Tree Service Company

Marketing-optimized case study for Canadian SMBs.

$108,000
Annual Savings
415%
ROI
3.2 months
Payback
Landscaping • 16 Crews
Industry Focus

Executive Summary

Visual Estimation: Computer vision analyzes property photos to count trees, estimate heights, identify hazards, and measure distance to structures. Generates quotes automatically.

Challenge

Solution

  • Visual Estimation: Computer vision analyzes property photos to count trees, estimate heights, identify hazards, and measure distance to structures. Generates quotes automatically.
  • Job Scheduling: AI considers tree size, equipment requirements, crew certifications, weather forecasts, and emergency storm work. Optimizes crew assignments.
  • Safety Compliance: Automated JSA (Job Safety Analysis) generation based on job details. Tracks certifications, equipment inspections, and safety training.

Technical Stack

Key Metrics

91%
Estimate accuracy improved to 91%
36
Quote turnaround reduced from 36 hours to 3 hours
28%
Daily jobs per crew increased 28%
63%
Safety incidents reduced 63%
2
Eliminated 2 FTE estimator roles ($72k savings)

Implementation Timeline

9 weeks including CV model training

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