Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Fitness • 6 Studios

Case Study 14: Fitness Studio Chain

Marketing-optimized case study for Canadian SMBs.

$61,000
Annual Savings
510%
ROI
2.1 months
Payback
Fitness • 6 Studios
Industry Focus

Executive Summary

Class Optimization: ML model predicts class demand based on time, day, instructor, weather, and historical patterns. Automatically adjusts class schedule and recommends optimal instructor assignments.

Challenge

Solution

  • Class Optimization: ML model predicts class demand based on time, day, instructor, weather, and historical patterns. Automatically adjusts class schedule and recommends optimal instructor assignments.
  • Membership Renewal: Predictive churn model identifies at-risk members 30 days before cancellation. Triggers personalized retention campaigns with class recommendations and offers.
  • Workout Recommendations: AI analyzes member goals, attendance patterns, and fitness level to suggest personalized class schedules and progression paths.

Technical Stack

Key Metrics

68%
Member retention improved from 68% to 79% annually
71%
Class utilization increased from 71% to 87%
58%
Front desk administrative time reduced 58%
$340
Member lifetime value increased $340 per member
24%
New member sign-ups increased 24% due to better class availability

Implementation Timeline

6 weeks from kickoff to full production deployment

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