FinTech / Case Study
Intelligent Investment Monitoring Platform
A growing network of mutual fund distributors struggled to proactively manage systematic investment plans across thousands of investor portfolios. We built an automated intelligence system to detect risk early and enable proactive advisory action.
The Challenge
Manual tracking limited visibility into discontinued SIPs, AUM decline trends, and commission leakage. Advisors were reactive — discovering revenue loss only after it had already occurred.
The Solution
Four interconnected modules that continuously analyze transaction and portfolio data, detect risk signals, and generate actionable advisor alerts.
SIP Health Monitoring
- Detect discontinued or missed SIP installments
- Flag irregular investment behavior
- Identify upcoming SIP expirations
- Estimate potential future AUM loss
AUM Risk Intelligence
- Track portfolio decline beyond defined thresholds
- Detect scheme underperformance versus benchmarks
- Identify large redemption transactions
- Highlight declining client engagement patterns
Commission Impact Analysis
- Map transaction behavior to commission trends
- Identify trail revenue drop patterns
- Flag lost income opportunities
- Forecast projected revenue impact
Advisor Dashboard & Signal Engine
- Daily intelligence dashboard
- Risk categorization by priority levels
- Prioritized action list for advisors
- Drill-down portfolio insights
- Automated reporting summaries
Technical Architecture
Results Achieved
Measured over 6 months post-launch
-28%
Discontinued SIPs
+18%
SIP revival rate
+22%
Proactive engagement
+12%
Retained AUM
Eliminated
Manual monitoring
Business Impact
The distributor network transitioned from spreadsheet-based monitoring to an intelligence-driven advisory model. Instead of reacting to revenue loss after it occurred, advisors began intervening before impact. The platform strengthened investor retention, improved revenue stability, and enhanced advisor productivity.
Key Takeaway
When portfolio intelligence becomes automated and signal-driven, advisory businesses move from transaction processing to proactive wealth management.
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