Regal Swiss worked to integrate AI for customer retention in medium Asian service firms, leveraging third-party platforms to revitalize legacy client management. We designed workflows with make.com for automated feedback loops and loyalty program tracking, using OpenAI for sentiment analysis on interactions. N8N handled data aggregation from multiple touchpoints, enabling proactive churn prediction. Features included personalized offers and re-engagement campaigns. We conducted adoption sessions to align with business goals. This approach turns passive retention into active loyalty building. Perfect for service providers like consultancies in Asia, our implementations enhance client satisfaction, reduce attrition, and drive recurring revenue, empowering businesses to thrive in competitive sectors with data-informed strategies that nurture long-term relationships.
SDICOM
make.com, OpenAI, N8N, Sentiment Analysis, Churn Prediction
Customer retention AI implementation
Regal Swiss customer retention and AI analytics team
Predicting churn in fragmented client interaction data
Personalizing offers without manual intervention
Aggregating data from diverse service touchpoints
Aligning AI with legacy client management systems
Applied OpenAI for advanced sentiment and churn analysis
Configured make.com for automated loyalty workflows
Used N8N for comprehensive data aggregation
Integrated with existing systems for seamless adoption
Decreased customer churn rates by 40% proactively
Increased loyalty program participation by 35%
Enhanced client satisfaction scores by 25%
Generated 20% more recurring revenue streams