Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Healthcare Supply • 180 Clients

Case Study 12: Pharmaceutical Distributor

Marketing-optimized case study for Canadian SMBs.

$167,000
Annual Savings
370%
ROI
3.9 months
Payback
Healthcare Supply • 180 Clients
Industry Focus

Executive Summary

Expiration Tracking System: Computer vision + barcode scanning system automatically tracks expiration dates on incoming inventory. ML model predicts which items likely to expire and suggests discounting or returns.

Challenge

Solution

  • Expiration Tracking System: Computer vision + barcode scanning system automatically tracks expiration dates on incoming inventory. ML model predicts which items likely to expire and suggests discounting or returns.
  • Recall Management: Automated monitoring of FDA recall databases with instant identification of affected lot numbers in inventory and automated customer notifications.
  • Compliance Reporting: Automated generation of DEA ARCOS reports, state prescription monitoring program submissions, and temperature monitoring documentation.

Technical Stack

Key Metrics

$285
Expired inventory waste reduced from $285k to $51k annually
18
Recall response time improved from 18 hours to 45 minutes
88%
Compliance documentation time reduced 88%
2
Eliminated 2 FTE inventory management roles ($94k savings)
2
Zero compliance violations in first year (previously averaged 2-3 annually)

Implementation Timeline

12 weeks including hardware installation, system integration, and validation testing

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