Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Security Services • 12 Technicians

Case Study 55: Locksmith Service

Marketing-optimized case study for Canadian SMBs.

$76,000
Annual Savings
485%
ROI
2.5 months
Payback
Security Services • 12 Technicians
Industry Focus

Executive Summary

Visual Lock Identification: Computer vision identifies lock types, brands, and models from customer photos. Determines required tools, blanks, and parts before dispatch.

Challenge

Solution

  • Visual Lock Identification: Computer vision identifies lock types, brands, and models from customer photos. Determines required tools, blanks, and parts before dispatch.
  • Emergency Dispatch: AI prioritizes emergency lockouts vs. scheduled work. Optimizes dispatcher assignment considering technician location, skills, and van inventory.
  • Access Control Quoting: Automated commercial access control estimates based on door count, user requirements, and integration needs. Generates system diagrams.

Technical Stack

Key Metrics

84%
First-call completion rate improved from 84% to 96% (correct parts/tools)
38
Average response time reduced from 38 to 24 minutes
5
Commercial quote turnaround reduced from 5 days to 8 hours
68%
Technician utilization increased from 68% to 87%
1
Eliminated 1 FTE dispatcher role ($52k savings)

Implementation Timeline

7 weeks including CV model training on lock database

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