Problem: Many hospitality businesses struggle with customer retention due to ineffective loyalty programs.
Outcome: Design an AI-driven loyalty program that maximizes customer engagement and repeat visits.
Week 1-2: Data Collection & Analysis of Existing Programs
Study customer loyalty behaviors and program success rates.
Collect transaction and engagement data from past programs.
Week 3-4: Customer Segmentation & Personalization Strategy
Segment customers based on spending behavior and visit frequency.
Design personalized reward structures.
Week 5-6: AI-Powered Predictive Loyalty Models
Develop machine learning models to predict customer retention.
Optimize point allocation strategies.
Design a digital rewards platform (app/web-based).
Integrate push notifications for offers and updates.
Week 9-10: Business Testing & Performance Evaluation
Measure effectiveness through customer engagement data.
Week 11-12: Deployment & Scaling Strategy
Develop an expansion strategy based on pilot results.
Document key findings and improvement areas.
