Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Travel Services

Case Study 76: Maple Travel Agency Network

Marketing-optimized case study for Canadian SMBs.

CAD 88,000
Annual Savings
1,855%
ROI
0.6 mo
Payback
Travel Services
Industry Focus

Executive Summary

A travel agency network leveraged AI to automate booking queries and itinerary generation, improving customer service capacity and reducing agent workload.

Challenge

High volume of routine booking questions and itinerary changes overwhelmed support staff.

Solution

  • MapleReceptionist Pro to handle booking questions and initial intake
  • MapleWorkflow to automate itinerary tasks
  • MapleReports to monitor client satisfaction

Technical Stack

Rationale

Travel agencies often integrate reservation engines with CRM and payment processing.

Key Metrics

Improved
Booking response times improved
Improved
Agent workload reduced

Implementation Timeline

Weeks 1-2

Use case definition

Weeks 3-4

Bot and workflow setup

Week 5

Testing & launch

Pricing & Delivery Options

SMBs can choose a Maple SaaS deployment, a hybrid integration with existing tools, or a custom build. The pricing below reflects realistic first-year ranges for each option.

ApproachFirst-Year CostAnnual SavingsROIPayback
Maple SaaSCAD 4,500CAD 88,0001,855%0.6 mo
HybridCAD 40,000CAD 88,000120%5.5 mo
Custom BuildCAD 140,000CAD 88,000-37%19.1 mo

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