Tracking Fraud Before It Happens: Geo-Location & Movement Monitoring in MFIs & NBFCs

  • February 4, 2025
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Fraud Management
Operations Risk
Technology
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How Geo-Location and Movement Tracking Helps in Early Fraud Detection

1. Real-Time Movement & Activity Monitoring

Arukus’s Field Track-O Application continuously tracks the movement of field agents. The system cross-verifies scheduled tasks with actual travel patterns, ensuring that field executives are visiting designated locations.

Example: If an agent is assigned to collect repayment from a borrower at Location A but never enters the geo-fenced area, an alert is triggered.

2. Cross-Verification with Collection Data

By integrating location tracking with the Collection Management System (CMS), financial institutions can verify whether collections were successfully recorded.

Example: If a payment is marked as received from Customer X, but the agent was not near Customer X’s registered location, a fraud alert is generated.

3. Fraud Pattern Detection via Rule Engine

Arukus’s Fraud Rule Engine analyzes location, movement, and transaction data to detect irregularities by comparing with task, activity and customer data.

Key Questions Analyzed:

Did the stop location match the scheduled customer visit?

Was the agent present at a delinquent or closed account location?

Was the agent’s location data switched off to avoid tracking?

Was a payment recorded from a location different from the scheduled visit?

Example: If an agent repeatedly updates loan collection records without stopping at the customer’s registered location, the system flags a potential fraud.

4. Location-Based Fraud Severity Alerts

Fraud alerts are categorized into Red, Orange, and Yellow based on severity. Higher-risk alerts are escalated to regional managers, allowing institutions to take prompt corrective action.

Example: An agent who consistently reports collections while being stationary or far from borrower locations may trigger a Red Alert requiring immediate investigation.

How Arukus’s Technology Ensures Early Fraud Detection

Arukus Technologies offers an integrated fraud prevention ecosystem:

Field Track-O Application: Real-time location tracking of loan officers and field executives.

Collection Management System (CMS): Ensures collected payments are accurately recorded and deposited.

Fraud Rule Engine: Detects discrepancies in location and transaction data, generating alerts.

Automated Escalation: Suspicious activities are automatically flagged for managerial review.

Conclusion

Internal fraud remains a major challenge in the MFI and NBFC sector, but advanced technologies like Arukus’s Field Track-O and Collection Management System provide a proactive approach to fraud detection. By leveraging geo-location and movement tracking, financial institutions can safeguard their assets, maintain operational integrity, and enhance trust with their customers.

For more information on Arukus’s fraud detection solutions, visit www.arukustech.com.

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