Automating customer retention workflows in Amazon Quick
Machine Learning Blog
This article demonstrates how to build an automated customer retention pipeline using Amazon Quick that reduces response time from days to minutes by combining KPI monitoring, transcript analysis, and custom scoring logic.
- Configure Quick Space with contact center datasets and call transcripts for unified data access
- Create custom MCP Action using Lambda and API Gateway for customer retention scoring
- Build Chat Agent combining quantitative KPIs with qualitative sentiment analysis from transcripts
- Convert Chat analysis into reusable Quick Flow for scheduled or on-demand automation
- Orchestrate multi-step pipeline with Quick Automate to generate and distribute retention offers
- Achieved response time reduction from days to minutes and improved retention rates with personalized offers
The solution enables business users to build and operate retention workflows through natural language and point-and-click interfaces without writing application code.
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