Real-Time Revenue Leak Detector

Stop invisible revenue losses before they scale. Advanced anomaly detection for billing systems, powered by serverless architecture.

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Test Your Billing Data Live Now

Enter real billing information and watch our AI detect revenue leaks instantly

Revenue Analysis Input

Enter customer billing data to detect potential revenue leaks

Customer Name

Actual Billed Amount ($)

Usage Hours

Subscription Plan

Analysis Results

AI-powered revenue leak detection and recommendations

Ready to Analyze

Fill in the billing data and click "Detect Revenue Leaks" to see results

Live Revenue Protection Demo

Watch real-time anomaly detection in action - preventing revenue leaks as they happen

Total Revenue

$125,847.32

+12.5% from last month

Leaks Detected

Real-time detection active

Revenue Saved

$0.00

Prevented losses

System Health

99.9%

All systems operational

Revenue Tracking

Real-time vs expected revenue with anomaly detection

Live Transaction Stream

Real-time transaction monitoring with anomaly detection

Processing transactions...

Anomaly Detection Engine

ML-powered real-time revenue leak detection rules

Pricing Rule Validation

Validates pricing calculations against defined rules

active

Confidence Level95.0%

Usage Pattern Analysis

Detects unusual usage billing patterns

normal

Confidence Level88.0%

Transaction Anomaly Detection

ML-based detection of transaction irregularities

active

Confidence Level92.0%

Real-time Threshold Monitoring

Monitors for values exceeding normal thresholds

normal

Confidence Level97.0%

System Status

Active Monitoring

All detection rules are actively monitoring for revenue leaks

Live Alerts

Real-time revenue leak notifications

Monitoring for anomalies...

What It Does

Comprehensive revenue protection through intelligent monitoring and analysis

Real-time Anomaly Detection

Instantly identify unusual billing patterns and revenue discrepancies as they occur.

Billing Mismatch Alerts

Get immediate notifications when billing amounts don't match expected calculations.

Pricing Rule Validation

Ensure pricing rules are correctly applied across all customer transactions.

Failed Transaction Monitoring

Track and analyze failed payments to recover lost revenue opportunities.

Usage-based Billing Integrity

Verify usage metrics align with billing calculations for subscription services.

Built With

AWS Lambda

Serverless compute

EventBridge

Event routing

DynamoDB

NoSQL database

CloudWatch

Monitoring & logs

Step Functions

Workflow orchestration

Python

Backend language

Scikit-learn

Machine learning

SNS

Notifications

Stripe/Razorpay

Payment processing

Our Hackathon Journey

From inspiration to implementation - the story behind the project

Inspiration

Witnessing how small billing discrepancies can compound into significant revenue losses for SaaS companies. The need for real-time detection became clear when manual audits were catching issues weeks too late.

Challenges

Building a system that could process high-volume transaction streams without false positives. Balancing detection sensitivity with performance while keeping costs low in a serverless environment.

What We Learned

The power of event-driven architecture for real-time processing. How machine learning can be effectively deployed in serverless environments, and the importance of designing for observability from day one.

What's Next

Our roadmap for expanding the platform and adding new capabilities

Upcoming Features

Planned enhancements and new capabilities coming soon

Interactive dashboard UI with real-time visualizations

Native Stripe and Razorpay integration for seamless setup

Advanced ML models with custom anomaly thresholds

Auto-healing system to automatically fix detected issues

Open-source release with community contributions

Multi-tenant SaaS platform with team collaboration

API integrations with popular billing platforms

Predictive analytics for revenue forecasting