Customer Churn Risk Prediction (Random Forest)
Predict whether a customer is at risk of churning (90-day inactivity threshold) and receive prescriptive retention strategies.
Customer Transaction Inputs
Prediction Results Will Appear Here
Adjust the customer parameters on the left and click Run Live Churn Prediction to assess risk.
Customer Lifetime Value (CLTV) Prediction
Estimate the future total monetary value of a customer based on early purchasing habits and allocate maximum Customer Acquisition Cost (CAC).
User Early Activity Signals
Projected Revenue & Segment Tier
Calculate future monetary yield to optimize marketing acquisition and retention budgets.
Unsupervised Customer Persona Clustering (K-Means)
Dynamically classify users into 4 distinct behavioral cohorts using RFM (Recency, Frequency, Monetary) analytics.
Customer RFM Metrics
Customer Persona Identity
Analyze how this customer compares against Champions, Loyal Regulars, Casuals, and At-Risk groups.
Smart Food & Restaurant Recommendation Engine
Hybrid popularity and cuisine matching algorithm to recommend top dining options and signature dishes.
City Demand & Revenue Time Series Forecasting
Project upcoming monthly order volumes and sales trends across top operating cities to optimize delivery capacity.