Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Pet Services • 4 Mobile Grooming Vans

Case Study 61: Mobile Pet Grooming

Marketing-optimized case study for Canadian SMBs.

$69,000
Annual Savings
480%
ROI
2.5 months
Payback
Pet Services • 4 Mobile Grooming Vans
Industry Focus

Executive Summary

Route Optimization: AI generates daily routes considering appointment windows, travel time, grooming duration by breed, and fuel efficiency. Dynamically adjusts for cancellations.

Challenge

Solution

  • Route Optimization: AI generates daily routes considering appointment windows, travel time, grooming duration by breed, and fuel efficiency. Dynamically adjusts for cancellations.
  • Pricing Intelligence: ML analyzes local competition, customer zip codes, and service add-ons to optimize pricing. Surge pricing for last-minute bookings.
  • Maintenance Prediction: IoT sensors monitor van equipment (water tanks, generators, dryers). Predicts maintenance needs and schedules service to prevent breakdowns.

Technical Stack

Key Metrics

6.2
Daily appointments per van increased from 6.2 to 8.4
32%
Fuel costs reduced 32% through optimized routing
78%
Equipment downtime reduced 78% (preventive maintenance)
22%
Average ticket value increased 22% through optimized pricing
$69
Revenue increased $69k annually through capacity increase

Implementation Timeline

7 weeks including IoT sensor installation and testing

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