Predict churn early.
Retain every customer.
A production-grade churn intelligence platform combining ML prediction, RAG-powered knowledge retrieval, and agentic AI reasoning — all in one workspace.
What it does
Estimates customer churn probability from service profiles and converts predictions into business-focused saving interventions.
How it works
Input customer attributes → preprocessing pipeline → risk scoring → LangGraph + RAG strategizing → email draft and mitigation report.
Data supported
Structured subscriber CSV features, trained Scikit-learn model pickles (.pkl), markdown playbook documents, and FAISS vector indices.
Product Flow
1. Explore global churn distributions and correlations in the analytics dashboard.
2. Run classification model inferences to calculate risk on individual customer profiles.
3. Engage the LangGraph RAG cognitive flow to construct tailored retention plans and email drafts.