Product: AI-Powered Vehicle Data Capture System

Role: Senior Product Owner / System Architect

Goal: Automate vehicle data collection at warehouse gates, improve accuracy, reduce errors, and eliminate the need for full-time manual monitoring.

Result: Replaced a labor-intensive manual process requiring dedicated staff, significantly reduced operational costs, and optimized traffic flow at warehouse entry and exit points.

🚀 Core Responsibilities & Product Ownership

Product Vision & System Architecture

• Designed an end-to-end AI-driven system for automatic license plate, VIN, and DOT number recognition from moving trucks.
  
  
• Defined epics, user stories, and acceptance criteria to guide engineering and R&D teams for seamless gate integration.
  
  
• Focused on reducing human dependency, increasing accuracy, and speeding up gate processing to handle high traffic efficiently.
  
  

🔥 Key Features & Functions Developed

1. Advanced OCR for License Plate, VIN & DOT Recognition

• Developed and fine-tuned OCR algorithms capable of accurately reading license plates, VIN numbers, and DOT numbers from moving trucks at various speeds and angles.
  
  
• Eliminated the need for a 3 person 3 shifts dedicated staff member earning ~$200,000/year to manually record all vehicle data.
  
  

2. Automated Data Capture & Recording

• Triggered automatic data recording the moment a truck is detected.
  
  
• Captured entry time, exit time, and all vehicle details without human intervention.
  
  
• Removed hours of repetitive manual work per truck, saving weeks of labor per year.
  
  

3. Integration with Existing Gate Infrastructure

• Seamlessly connected OCR system with existing gate management and access control setups.
  
  
• Ensured real-time updates while minimizing disruption to current warehouse operations.
  
  

4. Comprehensive Data Storage & Retrieval

• Built a robust database to store license plate, VIN, DOT numbers, and timestamps for all entries and exits.
  
  
• Enabled instant retrieval for audits, reporting, and operational analysis.
  
  

5. Traffic Flow Optimization

• Automated gate processes significantly reduced queues and congestion at entry and exit points.
  
  
• Eliminated delays caused by manual recording, allowing trucks to move smoothly through the warehouse gates.
  
  

6. Continuous System Optimization

• Conducted iterative testing to maintain high OCR accuracy under all conditions, including high-speed trucks, poor lighting, and damaged plates.
  
  
• Collaborated with R&D to ensure consistent performance and minimal errors.
  
  

📊 Impact

• Eliminated the need for a full-time $200,000/year employee to manually record vehicle data.
  
  
• Saved thousands of hours per year in manual data entry, freeing staff for higher-value tasks.
  
  
• Reduced human errors in license plate, VIN, and DOT recording.
  
  
• Improved gate traffic flow, reducing congestion and wait times for trucks entering and exiting the warehouse.
  
  
• Created a reliable, scalable, and auditable data collection system for operational efficiency.
  
  

💡 Key Skills Highlighted

• OCR & object detection for moving vehicles
  
  
• License plate, VIN, and DOT recognition
  
  
• AI model optimization & R&D collaboration
  
  
• Automated data capture & workflow integration
  
  
• Database design & real-time data management
  
  
• Traffic flow optimization for high-volume gates
  
  
• Cost and time savings through automation