Revenue Leakage Detection System by Ugo ChukwuRevenue Leakage Detection System by Ugo Chukwu

Revenue Leakage Detection System

Ugo Chukwu

Completed work

Automation Engineer

Business Workflow Automation

N8N

Stripe

Supabase

Business Management

Like this project

Completed work

Posted Nov 23, 2025

Automated system to detect and recover lost revenue in B2B SaaS companies.

Likes

Views

Timeline

Jan 2, 2025 - Jan 18, 2025

Revenue Leakage Detection System

Ugo Chukwu

Completed work

Automation Engineer

Business Workflow Automation

N8N

Stripe

Supabase

Business Management

Revenue Leakage Detection System

Automated system to detect and recover lost revenue in B2B SaaS companies

🎯 What It Does

Automatically detects 4 types of revenue leakage:

Outdated Pricing - Customers paying old rates

Missing Overages - Usage charges not applied

Incorrect Discounts - Unqualified discounts given

Feature Leakage - Premium features on basic plans

Typical Results:

$500K-900K recovered annually

1,900% ROI

90% time reduction vs manual audits

📊 Key Features

✅ 100% Coverage - Checks all customers daily, not just a sample

✅ Real-time Detection - Finds issues within 24 hours

✅ Smart Prioritization - Severity scoring by revenue impact

✅ Automated Alerts - Slack notifications for high-value issues

✅ Recovery Workflow - Built-in investigation and resolution tools

✅ Prevention Layer - Catches errors before billing runs

🏗️ Architecture

┌─────────────────────────────────────────────────────────────┐
│                     DATA COLLECTION                          │
│  ┌──────────┐  ┌──────────┐  ┌──────────┐  ┌──────────┐   │
│  │  Stripe  │  │ Product  │  │ Contract │  │   Usage  │   │
│  │   API    │  │   API    │  │   Data   │  │   Logs   │   │
│  └────┬─────┘  └────┬─────┘  └────┬─────┘  └────┬─────┘   │
│       │             │             │             │            │
│       └─────────────┴─────────────┴─────────────┘           │
│                           │                                  │
└───────────────────────────┼──────────────────────────────────┘
                            ▼
┌─────────────────────────────────────────────────────────────┐
│                    SUPABASE DATABASE                         │
│  ┌──────────────────────────────────────────────────────┐  │
│  │  customers | contract_pricing | actual_charges |     │  │
│  │  product_usage | pricing_rules | leakage_detections │  │
│  └──────────────────────────────────────────────────────┘  │
└───────────────────────────┬─────────────────────────────────┘
                            ▼
┌─────────────────────────────────────────────────────────────┐
│                    VALIDATION ENGINE (n8n)                   │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐     │
│  │   Outdated   │  │   Missing    │  │  Incorrect   │     │
│  │   Pricing    │  │   Overages   │  │  Discounts   │     │
│  │   Detector   │  │   Detector   │  │   Detector   │     │
│  └──────┬───────┘  └──────┬───────┘  └──────┬───────┘     │
│         │                  │                  │              │
│         └──────────────────┴──────────────────┘             │
│                            │                                 │
└────────────────────────────┼─────────────────────────────────┘
                             ▼
┌─────────────────────────────────────────────────────────────┐
│                    ALERTING & REPORTING                      │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐     │
│  │    Slack     │  │    Email     │  │  Dashboard   │     │
│  │    Alerts    │  │   Reports    │  │    (Web)     │     │
│  └──────────────┘  └──────────────┘  └──────────────┘     │
└─────────────────────────────────────────────────────────────┘

🚀 Quick Start

Prerequisites

Supabase account (free tier works)

n8n instance (self-hosted or cloud)

Stripe account with API access

Slack workspace (optional, for alerts)

Installation

1. Clone the repository

git clone https://github.com/Etherlabs-dev/revenue_leakage_system.git
cd revenue_leakage_system

2. Set up Supabase database

# Run the database schema script
psql -h your-supabase-url -d postgres -f database/schema.sql

# Load sample data (optional)
psql -h your-supabase-url -d postgres -f database/sample-data.sql

3. Configure environment variables

cp .env.example .env
# Edit .env with your credentials:
# - SUPABASE_URL
# - SUPABASE_KEY
# - STRIPE_SECRET_KEY
# - SLACK_WEBHOOK_URL

4. Import n8n workflows

# In n8n UI:
# 1. Go to Workflows
# 2. Click "Import from File"
# 3. Import each file from ./n8n-workflows/

5. Configure credentials in n8n

Add Supabase credentials

Add Stripe API key (HTTP Header Auth)

Add Slack webhook URL

6. Test the workflows

# Run each workflow manually first
# Check database for results
# Verify Slack notifications

Usage

The system runs automatically via scheduled workflows:

6:00 AM - Stripe data sync

7:00 AM - Product usage collection

8:00 AM - Outdated pricing detection

9:00 AM - Missing overages detection

10:00 AM - Incorrect discounts detection

5:00 PM - Daily summary report

Manual triggers are also available for testing.

📁 Project Structure

revenue_leakage_system/
  ├── database/
  │   ├── schema.sql
  │   ├── sample-data.sql
  │   └── migrations/
  ├── n8n-workflows/
  │   ├── 01-stripe-data-sync.json
  │   ├── 02-usage-collection.json
  │   ├── 03-detect-outdated-pricing.json
  │   ├── 04-detect-missing-overages.json
  │   ├── 05-daily-summary.json
  │   └── README.md
  ├── docs/
  │   ├── architecture.md
  │   ├── detection-logic.md
  │   ├── setup-guide.md
  │   └── images/
  ├── scripts/
  │   ├── test-detection.js
  │   └── generate-report.js
  ├── .env.example
  ├── LICENSE
  ├── CONTRIBUTING.md
  └── README.md

🔧 Configuration

Detection Rules

Customize detection rules in database/pricing_rules table:

-- Example: Set current pricing for Pro plan
INSERT INTO pricing_rules (
  plan_name,
  current_base_price,
  included_usage,
  overage_rates,
  features
) VALUES (
  'pro',
  149.00,
  '{"api_calls": 50000, "storage_gb": 100}',
  '{"api_calls_per_1000": 5.00, "storage_gb": 2.00}',
  '["advanced_analytics", "custom_domains", "api_access"]'
);

Alert Thresholds

Modify severity scoring in workflow functions:

// In n8n Function node
let severity = 'low';
if (leakageAmount > 500) {
  severity = 'high';  // Adjust this threshold
} else if (leakageAmount > 100) {
  severity = 'medium';  // Adjust this threshold
}

Notification Channels

Configure in n8n Slack node or add email notifications:

// For high severity only
if (severity === 'high') {
  // Send Slack alert
  // Send email to CFO
}

📖 Documentation

System Architecture - Technical design details

Workflow Logic - How each detection type works

Troubleshooting - Common issues

🧪 Testing

Run Tests

# Test database schema
npm run test:db

# Test detection logic with sample data
npm run test:detection

# Run full workflow simulation
npm run test:workflow

Sample Test Scenarios

The database/sample-data.sql includes 3 test scenarios:

Customer with outdated pricing - Should pay $149, paying $99

Customer with missing overages - Used 25K API calls, only paid for 10K

Customer with incorrect discount - Has 15% discount without qualification

Expected detections: 3 (one for each scenario)

📊 Results & ROI

Real Client Results

Case Study: B2B SaaS Company ($5M ARR)

Before:

Manual audits: 20 accounts/month (10% coverage)

Time: 40 hours/month

Leakage found: $50K/month (in audited accounts)

Detection lag: 2-3 months

After:

Automated monitoring: 200 accounts (100% coverage)

Time: 5 hours/month

Leakage found: $65K/month

Detection lag: 1 day

Results:

$663K recovered in year 1

1,907% ROI

35 hours/month saved

Payback in 18 days

ROI Calculator

Annual Leakage Recovered: $XXX,XXX
Annual Time Savings: XXX hours × $200/hour = $XX,XXX
Total Annual Value: $XXX,XXX

Implementation Cost: $15,000
Annual Ongoing Cost: $30,000
Total Investment: $45,000

ROI: (Value - Cost) / Cost = X,XXX%

🤝 Contributing

Contributions are welcome! Please read CONTRIBUTING.md for details.

Development Setup

# Fork and clone
git clone https://github.com/yourusername/revenue-leakage-detector.git

# Create feature branch
git checkout -b feature/your-feature

# Make changes and test
npm run test

# Submit pull request

📝 License

This project is licensed under the MIT License - see LICENSE file.

🙋 Support

Email: ethercess@gail.com

🌟 Acknowledgments

Built with:

n8n - Workflow automation

Supabase - Database & real-time

Stripe - Payment processing

Inspired by real problems at my credit card company.

🚧 Roadmap

Add Chargebee integration

Build React dashboard UI

Add PDF report generation

Create Zapier integration

Add historical trend analysis

Build mobile app for alerts

⭐ Star History

Built by Ugo Chukwu Credit Card Company Founder | Financial Automation Specialist

LinkedIn · Twitter · Website

Like this project

Completed work

Posted Nov 23, 2025

Automated system to detect and recover lost revenue in B2B SaaS companies.

Likes

Views

Timeline

Jan 2, 2025 - Jan 18, 2025

Revenue Leakage Detection System

Automated system to detect and recover lost revenue in B2B SaaS companies

🎯 What It Does

Automatically detects 4 types of revenue leakage:

Outdated Pricing - Customers paying old rates

Missing Overages - Usage charges not applied

Incorrect Discounts - Unqualified discounts given

Feature Leakage - Premium features on basic plans

Typical Results:

$500K-900K recovered annually

1,900% ROI

90% time reduction vs manual audits

📊 Key Features

✅ 100% Coverage - Checks all customers daily, not just a sample

✅ Real-time Detection - Finds issues within 24 hours

✅ Smart Prioritization - Severity scoring by revenue impact

✅ Automated Alerts - Slack notifications for high-value issues

✅ Recovery Workflow - Built-in investigation and resolution tools

✅ Prevention Layer - Catches errors before billing runs

🏗️ Architecture

┌─────────────────────────────────────────────────────────────┐
│                     DATA COLLECTION                          │
│  ┌──────────┐  ┌──────────┐  ┌──────────┐  ┌──────────┐   │
│  │  Stripe  │  │ Product  │  │ Contract │  │   Usage  │   │
│  │   API    │  │   API    │  │   Data   │  │   Logs   │   │
│  └────┬─────┘  └────┬─────┘  └────┬─────┘  └────┬─────┘   │
│       │             │             │             │            │
│       └─────────────┴─────────────┴─────────────┘           │
│                           │                                  │
└───────────────────────────┼──────────────────────────────────┘
                            ▼
┌─────────────────────────────────────────────────────────────┐
│                    SUPABASE DATABASE                         │
│  ┌──────────────────────────────────────────────────────┐  │
│  │  customers | contract_pricing | actual_charges |     │  │
│  │  product_usage | pricing_rules | leakage_detections │  │
│  └──────────────────────────────────────────────────────┘  │
└───────────────────────────┬─────────────────────────────────┘
                            ▼
┌─────────────────────────────────────────────────────────────┐
│                    VALIDATION ENGINE (n8n)                   │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐     │
│  │   Outdated   │  │   Missing    │  │  Incorrect   │     │
│  │   Pricing    │  │   Overages   │  │  Discounts   │     │
│  │   Detector   │  │   Detector   │  │   Detector   │     │
│  └──────┬───────┘  └──────┬───────┘  └──────┬───────┘     │
│         │                  │                  │              │
│         └──────────────────┴──────────────────┘             │
│                            │                                 │
└────────────────────────────┼─────────────────────────────────┘
                             ▼
┌─────────────────────────────────────────────────────────────┐
│                    ALERTING & REPORTING                      │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐     │
│  │    Slack     │  │    Email     │  │  Dashboard   │     │
│  │    Alerts    │  │   Reports    │  │    (Web)     │     │
│  └──────────────┘  └──────────────┘  └──────────────┘     │
└─────────────────────────────────────────────────────────────┘

🚀 Quick Start

Prerequisites

Supabase account (free tier works)

n8n instance (self-hosted or cloud)

Stripe account with API access

Slack workspace (optional, for alerts)

Installation

1. Clone the repository

git clone https://github.com/Etherlabs-dev/revenue_leakage_system.git
cd revenue_leakage_system

2. Set up Supabase database

# Run the database schema script
psql -h your-supabase-url -d postgres -f database/schema.sql

# Load sample data (optional)
psql -h your-supabase-url -d postgres -f database/sample-data.sql

3. Configure environment variables

cp .env.example .env
# Edit .env with your credentials:
# - SUPABASE_URL
# - SUPABASE_KEY
# - STRIPE_SECRET_KEY
# - SLACK_WEBHOOK_URL

4. Import n8n workflows

# In n8n UI:
# 1. Go to Workflows
# 2. Click "Import from File"
# 3. Import each file from ./n8n-workflows/

5. Configure credentials in n8n

Add Supabase credentials

Add Stripe API key (HTTP Header Auth)

Add Slack webhook URL

6. Test the workflows

# Run each workflow manually first
# Check database for results
# Verify Slack notifications

Usage

The system runs automatically via scheduled workflows:

6:00 AM - Stripe data sync

7:00 AM - Product usage collection

8:00 AM - Outdated pricing detection

9:00 AM - Missing overages detection

10:00 AM - Incorrect discounts detection

5:00 PM - Daily summary report

Manual triggers are also available for testing.

📁 Project Structure

revenue_leakage_system/
  ├── database/
  │   ├── schema.sql
  │   ├── sample-data.sql
  │   └── migrations/
  ├── n8n-workflows/
  │   ├── 01-stripe-data-sync.json
  │   ├── 02-usage-collection.json
  │   ├── 03-detect-outdated-pricing.json
  │   ├── 04-detect-missing-overages.json
  │   ├── 05-daily-summary.json
  │   └── README.md
  ├── docs/
  │   ├── architecture.md
  │   ├── detection-logic.md
  │   ├── setup-guide.md
  │   └── images/
  ├── scripts/
  │   ├── test-detection.js
  │   └── generate-report.js
  ├── .env.example
  ├── LICENSE
  ├── CONTRIBUTING.md
  └── README.md

🔧 Configuration

Detection Rules

Customize detection rules in database/pricing_rules table:

-- Example: Set current pricing for Pro plan
INSERT INTO pricing_rules (
  plan_name,
  current_base_price,
  included_usage,
  overage_rates,
  features
) VALUES (
  'pro',
  149.00,
  '{"api_calls": 50000, "storage_gb": 100}',
  '{"api_calls_per_1000": 5.00, "storage_gb": 2.00}',
  '["advanced_analytics", "custom_domains", "api_access"]'
);

Alert Thresholds

Modify severity scoring in workflow functions:

// In n8n Function node
let severity = 'low';
if (leakageAmount > 500) {
  severity = 'high';  // Adjust this threshold
} else if (leakageAmount > 100) {
  severity = 'medium';  // Adjust this threshold
}

Notification Channels

Configure in n8n Slack node or add email notifications:

// For high severity only
if (severity === 'high') {
  // Send Slack alert
  // Send email to CFO
}

📖 Documentation

System Architecture - Technical design details

Workflow Logic - How each detection type works

Troubleshooting - Common issues

🧪 Testing

Run Tests

# Test database schema
npm run test:db

# Test detection logic with sample data
npm run test:detection

# Run full workflow simulation
npm run test:workflow

Sample Test Scenarios

The database/sample-data.sql includes 3 test scenarios:

Customer with outdated pricing - Should pay $149, paying $99

Customer with missing overages - Used 25K API calls, only paid for 10K

Customer with incorrect discount - Has 15% discount without qualification

Expected detections: 3 (one for each scenario)

📊 Results & ROI

Real Client Results

Case Study: B2B SaaS Company ($5M ARR)

Before:

Manual audits: 20 accounts/month (10% coverage)

Time: 40 hours/month

Leakage found: $50K/month (in audited accounts)

Detection lag: 2-3 months

After:

Automated monitoring: 200 accounts (100% coverage)

Time: 5 hours/month

Leakage found: $65K/month

Detection lag: 1 day

Results:

$663K recovered in year 1

1,907% ROI

35 hours/month saved

Payback in 18 days

ROI Calculator

Annual Leakage Recovered: $XXX,XXX
Annual Time Savings: XXX hours × $200/hour = $XX,XXX
Total Annual Value: $XXX,XXX

Implementation Cost: $15,000
Annual Ongoing Cost: $30,000
Total Investment: $45,000

ROI: (Value - Cost) / Cost = X,XXX%

🤝 Contributing

Contributions are welcome! Please read CONTRIBUTING.md for details.

Development Setup

# Fork and clone
git clone https://github.com/yourusername/revenue-leakage-detector.git

# Create feature branch
git checkout -b feature/your-feature

# Make changes and test
npm run test

# Submit pull request

📝 License

This project is licensed under the MIT License - see LICENSE file.

🙋 Support

Email: ethercess@gail.com

🌟 Acknowledgments

Built with:

n8n - Workflow automation

Supabase - Database & real-time

Stripe - Payment processing

Inspired by real problems at my credit card company.

🚧 Roadmap

Add Chargebee integration

Build React dashboard UI

Add PDF report generation

Create Zapier integration

Add historical trend analysis

Build mobile app for alerts

⭐ Star History

Built by Ugo Chukwu Credit Card Company Founder | Financial Automation Specialist

LinkedIn · Twitter · Website