Personal Finance Intelligence – Behavioral Analytics for Engagement
Built AI-powered behavioral models to identify high-potential customers, link entity structures, and personalize financial offerings.
A bank wanted to uncover hidden customer opportunities by analyzing spending behavior, mapping entities, and scoring wallet share.
Business Challenges
- Dormant high-value customers not identified
- No segmentation of behavior-based risk or opportunity
- Disconnected transaction systems across verticals
Plenum’s Solution
- Mapped customer behavior using NLP and geospatial clustering
- Scored wallet share and churn probability
- Used graph-based entity linking for holding company mapping
Key Capabilities Used
- Customer Behavior Segmentation
- Entity Relationship Mapping
- Wallet Share Intelligence
- Predictive Analytics
Outcomes & Impact
Increased personalized product recommendations
200+
Activated dormant high-value customers
50+
Identified holding companies with cross-sell opportunities
Technologies
Implemented
Momentum AI
GraphFrames
Geospatial ML
Power BI
SecureGPT