Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Retail • 4 Locations

Case Study 31: Jewelry Store

Marketing-optimized case study for Canadian SMBs.

$92,000
Annual Savings
445%
ROI
2.9 months
Payback
Retail • 4 Locations
Industry Focus

Executive Summary

Customer Preference Tracking: AI chatbot captures customer preferences (metal type, stone preferences, style, budget) during initial inquiry. Curates personalized recommendations.

Challenge

Solution

  • Customer Preference Tracking: AI chatbot captures customer preferences (metal type, stone preferences, style, budget) during initial inquiry. Curates personalized recommendations.
  • Occasion Reminders: Automated reminders for anniversaries, birthdays, and gift-giving occasions based on customer purchase history. Suggests relevant products.
  • Appraisal Management: Computer vision assists in diamond grading and jewelry identification. Generates professional appraisal documents with market comps.

Technical Stack

Key Metrics

31%
Repeat customer rate increased from 31% to 48%
$340
Average transaction value increased $340
12%
Lead conversion improved from 12% to 22%
5
Appraisal turnaround reduced from 5 days to 2 days
67%
Marketing ROI improved 67% through personalized campaigns

Implementation Timeline

6 weeks from start to launch

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