Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Hospitality • 3 Venues

Case Study 45: Event Venue

Marketing-optimized case study for Canadian SMBs.

$94,000
Annual Savings
450%
ROI
2.8 months
Payback
Hospitality • 3 Venues
Industry Focus

Executive Summary

Inquiry Management: AI chatbot qualifies leads by event type, date, guest count, and budget. Checks venue availability and provides instant pricing.

Challenge

Solution

  • Inquiry Management: AI chatbot qualifies leads by event type, date, guest count, and budget. Checks venue availability and provides instant pricing.
  • Contract Generation: Automated contract creation based on selected services, timeline, and venue policies. E-signature integration for fast booking.
  • Vendor Coordination: AI suggests preferred vendors (catering, DJ, florist) based on event type. Automated communication and timeline coordination.

Technical Stack

Key Metrics

28%
Inquiry-to-booking conversion improved from 28% to 47%
3.5
Contract turnaround reduced from 3.5 days to 4 hours
55%
Event coordinator workload reduced 55%
Improved
Booking lead time decreased (more last-minute bookings)
2
Eliminated 2 FTE sales coordinator roles ($68k savings)

Implementation Timeline

7 weeks from start to launch

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