Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Beauty Services • 7 Locations

Case Study 37: Salon Chain

Marketing-optimized case study for Canadian SMBs.

$89,000
Annual Savings
470%
ROI
2.5 months
Payback
Beauty Services • 7 Locations
Industry Focus

Executive Summary

Smart Booking: AI chatbot handles appointment booking considering stylist expertise, service duration, and client preferences. Optimizes schedule to minimize gaps.

Challenge

Solution

  • Smart Booking: AI chatbot handles appointment booking considering stylist expertise, service duration, and client preferences. Optimizes schedule to minimize gaps.
  • Product Recommendations: Based on service history and hair type, AI recommends retail products. Automated post-service follow-ups with personalized product suggestions.
  • Stylist Matching: ML matches clients with stylists based on specialty, availability, past client satisfaction, and requested services.

Technical Stack

Key Metrics

67%
Booking conversion rate improved from 67% to 82%
72%
Stylist utilization increased from 72% to 88%
$18.40
Retail sales per client increased $18.40
16%
No-show rate reduced from 16% to 7%
9
Front desk staff reduced from 9 FTE to 5 FTE ($64k savings)

Implementation Timeline

7 weeks for deployment across all locations

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