Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Third-Party Logistics

Case Study 74: Maple Warehouse 3PL

Marketing-optimized case study for Canadian SMBs.

CAD 204,000
Annual Savings
3,077%
ROI
0.4 mo
Payback
Third-Party Logistics
Industry Focus

Executive Summary

A 3PL warehouse used AI workflows to optimize scheduling and reduce manual reconciliation.

Challenge

High labor cost for inventory reconciliation and scheduling.

Solution

  • MapleInventory Pro for stock insights
  • MapleWorkflow to sequence operations
  • MapleReports for performance dashboards

Technical Stack

Rationale

Distribution SMBs typically use inventory and sales platforms with CRM and payment gateways.

Key Metrics

Improved
Inventory accuracy improved
Improved
Labor hours reduced

Implementation Timeline

Week 1-3

Data mapping

Weeks 4-5

Workflow definitions

Week 6-7

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 6,500CAD 204,0003,077%0.4 mo
HybridCAD 90,000CAD 204,000127%5.3 mo
Custom BuildCAD 240,000CAD 204,000-15%14.1 mo

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