Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Home Services • 12 Technicians

Case Study 36: Pest Control Company

Marketing-optimized case study for Canadian SMBs.

$64,000
Annual Savings
505%
ROI
2.2 months
Payback
Home Services • 12 Technicians
Industry Focus

Executive Summary

Pest Identification: Computer vision analyzes customer-submitted photos to identify pest type, infestation severity, and recommended treatment. Provides instant quotes.

Challenge

Solution

  • Pest Identification: Computer vision analyzes customer-submitted photos to identify pest type, infestation severity, and recommended treatment. Provides instant quotes.
  • Route Optimization: Dynamic scheduling considers service locations, treatment re-entry times, and emergency calls. Maximizes daily service stops.
  • Treatment Tracking: Mobile app tracks treatments applied, products used, and follow-up schedules. Automated reminders for quarterly services.

Technical Stack

Key Metrics

8.2
Daily stops per technician increased from 8.2 to 11.4
38%
Quote-to-close rate improved from 38% to 56%
71%
Customer retention improved from 71% to 84%
42%
Emergency response time reduced 42%
1
Eliminated 1 FTE dispatcher role ($42k savings)

Implementation Timeline

6 weeks from kickoff to production

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