Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Real Estate Services

Case Study 88: Maple Real Estate Brokerage Group

Marketing-optimized case study for Canadian SMBs.

CAD 142,000
Annual Savings
2,482%
ROI
0.4 mo
Payback
Real Estate Services
Industry Focus

Executive Summary

The brokerage automated lead qualification, showing coordination, and client follow-ups, increasing agent productivity while reducing admin staffing needs.

Challenge

Agents and assistants spent excessive time responding to inquiries, scheduling showings, and managing follow-ups.

Solution

  • MapleReceptionist Pro for buyer and seller inquiry handling
  • MapleWorkflow for showing coordination and reminders
  • MapleReports for lead performance tracking

Technical Stack

Rationale

Real estate brokerages use CRM and MLS tools with workflows and secure signatures for client service.

Key Metrics

Improved
Lead response time reduced
Improved
Agent capacity increased

Implementation Timeline

Weeks 1-2

Lead flow mapping

Weeks 3-4

Bot and workflow configuration

Week 5

Training and rollout

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 5,500CAD 142,0002,482%0.4 mo
HybridCAD 65,000CAD 142,000118%5.6 mo
Custom BuildCAD 190,000CAD 142,000-25%16.1 mo

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