Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Facilities Services

Case Study 78: Maple Commercial Cleaning Franchise HQ

Marketing-optimized case study for Canadian SMBs.

CAD 97,000
Annual Savings
2,325%
ROI
0.5 mo
Payback
Facilities Services
Industry Focus

Executive Summary

Maple Commercial Cleaning Franchise HQ utilized AI workflows to standardize quality checks and franchise support.

Challenge

Consistency among multiple franchise locations was difficult to measure and manage.

Solution

  • MapleWorkflow for quality checklist automation
  • MapleReceptionist Basic for franchise support inquiries
  • MapleReports for performance tracking

Technical Stack

Rationale

Field services use field service management plus productivity, CRM, and payments stacks.

Key Metrics

Improved
Standardization improved
Improved
Service quality issues spotted early

Implementation Timeline

Weeks 1-2

Franchise process mapping

Weeks 3-4

Workflow automation setup

Week 5-6

Training

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 4,000CAD 97,0002,325%0.5 mo
HybridCAD 35,000CAD 97,000177%4.3 mo
Custom BuildCAD 120,000CAD 97,000-19%14.8 mo

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