Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Food Manufacturing • Wholesale + 4 Cafes

Case Study 50: Coffee Roaster

Marketing-optimized case study for Canadian SMBs.

$83,000
Annual Savings
465%
ROI
2.6 months
Payback
Food Manufacturing • Wholesale + 4 Cafes
Industry Focus

Executive Summary

Roast Profiling: AI analyzes roast profiles and cup quality scores to optimize roasting parameters for each green coffee origin. Maintains consistency batch-to-batch.

Challenge

Solution

  • Roast Profiling: AI analyzes roast profiles and cup quality scores to optimize roasting parameters for each green coffee origin. Maintains consistency batch-to-batch.
  • Inventory Management: ML forecasts wholesale and cafe demand by blend/origin. Optimizes green coffee purchasing considering lead times and spot market pricing.
  • Customer Engagement: Automated subscription management, roast date notifications, personalized coffee recommendations based on purchase history and taste preferences.

Technical Stack

Key Metrics

47%
Roast consistency improved (cupping score variance reduced 47%)
$28
Green coffee waste from staling reduced $28k annually
64%
Subscription retention improved from 64% to 79%
73%
Wholesale order processing time reduced 73%
1
Eliminated 1 FTE customer service role ($41k savings)

Implementation Timeline

8 weeks including roaster sensor installation

Ready to map your SMB workflow?

We can estimate ROI and scope the right MapleWorkSuite configuration for your team.

Start a Custom Case Study