Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Home Services • 8 Technicians

Case Study 43: Carpet Cleaning Service

Marketing-optimized case study for Canadian SMBs.

$58,000
Annual Savings
520%
ROI
2.0 months
Payback
Home Services • 8 Technicians
Industry Focus

Executive Summary

Visual Quoting: Customers upload room photos. Computer vision estimates square footage, identifies stain types, and generates instant quotes with 90% accuracy.

Challenge

Solution

  • Visual Quoting: Customers upload room photos. Computer vision estimates square footage, identifies stain types, and generates instant quotes with 90% accuracy.
  • Route Optimization: AI schedules jobs geographically to minimize drive time. Dynamically adjusts for cancellations and add-on jobs.
  • Upsell Automation: Based on property type and past services, AI suggests additional services (upholstery, tile & grout, pet odor treatment) during booking.

Technical Stack

Key Metrics

31%
Quote-to-booking rate improved from 31% to 52%
4.1
Daily jobs per technician increased from 4.1 to 5.9
38%
Average ticket size increased 38% through upsells
27%
Fuel costs reduced 27%
1
Eliminated 1 FTE CSR role ($38k savings)

Implementation Timeline

5 weeks from kickoff to production

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