Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Food Distribution

Case Study 94: Maple Food Distribution Company

Marketing-optimized case study for Canadian SMBs.

CAD 203,000
Annual Savings
3,023%
ROI
0.4 mo
Payback
Food Distribution
Industry Focus

Executive Summary

Order intake, delivery updates, and inventory alerts were automated, improving accuracy and throughput.

Challenge

Manual order processing and customer updates slowed fulfillment.

Solution

  • MapleWorkflow for order routing
  • MapleReceptionist Basic for customer inquiries
  • MapleReports for fulfillment KPIs

Technical Stack

Rationale

Food distributors integrate order and inventory systems with CRM and payment tools for fulfillment.

Key Metrics

Improved
Order accuracy improved
Improved
Delivery delays reduced

Implementation Timeline

Weeks 1-3

Process mapping

Weeks 4-5

Configuration

Week 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 6,500CAD 203,0003,023%0.4 mo
HybridCAD 90,000CAD 203,000126%5.3 mo
Custom BuildCAD 240,000CAD 203,000-15%14.2 mo

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