Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Beverage Manufacturing • 3 Locations

Case Study 29: Brewery & Taproom

Marketing-optimized case study for Canadian SMBs.

$74,000
Annual Savings
480%
ROI
2.5 months
Payback
Beverage Manufacturing • 3 Locations
Industry Focus

Executive Summary

Production Forecasting: ML predicts beer demand by style based on historical sales, seasonality, events, and trends. Optimizes brewing schedule and ingredient ordering.

Challenge

Solution

  • Production Forecasting: ML predicts beer demand by style based on historical sales, seasonality, events, and trends. Optimizes brewing schedule and ingredient ordering.
  • Quality Monitoring: IoT sensors track fermentation temperature, pH, gravity with AI alerts for out-of-spec conditions. Prevents batch spoilage.
  • Customer Engagement: Chatbot handles taproom event RSVPs, keg availability inquiries, and beer release notifications via social media.

Technical Stack

Key Metrics

$34
Beer waste from spoilage reduced $34k annually
81%
Stock-outs of popular styles reduced 81%
37%
Event attendance improved 37% through better promotion
22%
Production efficiency improved 22%
$28
Ingredient costs reduced $28k through optimized ordering

Implementation Timeline

7 weeks including sensor installation

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