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AI-Powered Personalization in Luxury Retail
Project type
Use Case
Date
May 2025
Location
Hong Kong
Project Goal
Help a luxury e-commerce company improve customer retention by using AI to predict churn and activate customers through personalized outreach.
What I Did
- Designed a strategy to use the churn prediction model across different channels (phone, SMS, email).
- Created a plan to measure success using KPIs like churn reduction and re-engagement.
- Identified key challenges like data quality and team alignment.
- Proposed a governance model to manage cross-functional collaboration.
Outcome
- A clear, actionable roadmap to turn AI insights into real customer loyalty improvements.












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