Detect early warning signs of balance decline salary transfer loss and dormancy before customer disengagement becomes permanent. Reduce CASA churn by 32% through proactive retention.
Join Waiting listContinuously monitors account balance trajectories identifying gradual declines seasonal patterns and sudden drops
Machine learning models predict churn propensity based on balance trends behavioral changes and peer segment benchmarks
Tracks salary and recurring credit patterns identifying disruptions that signal account switching or income loss
Detects extended periods of inactivity transaction gaps and zero-balance conditions indicating account abandonment
Prioritizes customers for intervention based on account value revenue potential and recovery probability
Provides real-time visibility into portfolio health identifying branches segments and product types experiencing elevated churn
Prioritized at-risk customers automatically routed to relationship manager queues with recommended retention actions
Enables natural language queries like Show me high-value customers with declining balances supporting rapid portfolio analysis
Prevents customer attrition and deposit outflows - 32% churn reduction
Improves CASA portfolio stability and predictability - 28% stability improvement
Reactivates dormant accounts and recovers declining balances - $18M recovered
Enables rapid RM response to at-risk customers - 4X faster intervention
Turn operational complexity into measurable performance gains.
