Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Transportation Brokerage

Case Study 97: Maple Freight Brokerage

Marketing-optimized case study for Canadian SMBs.

CAD 187,000
Annual Savings
3,016%
ROI
0.4 mo
Payback
Transportation Brokerage
Industry Focus

Executive Summary

The brokerage automated load matching, carrier communications, and exception handling, significantly increasing throughput per broker.

Challenge

Brokers spent excessive time on repetitive carrier calls and status updates.

Solution

  • MapleReceptionist Pro for carrier and shipper inquiries
  • MapleWorkflow for load lifecycle automation
  • MapleReports for margin and performance tracking

Technical Stack

Rationale

Freight brokers use carrier marketplaces and CRM with routing workflows and payment tools.

Key Metrics

Improved
Loads handled per broker increased
Improved
Manual follow-ups reduced

Implementation Timeline

Weeks 1-2

Process mapping

Weeks 3-4

Automation setup

Week 5-6

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 6,000CAD 187,0003,016%0.4 mo
HybridCAD 85,000CAD 187,000120%5.5 mo
Custom BuildCAD 220,000CAD 187,000-15%14.1 mo

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