Scalable, Rideshare Ad Platform for a Leading Telecom Company

Leading telecommunications company that provides wireless voice and data services to customers in the United States.

• Resilience & Security: Building a scalable, resilient tablet application that operates reliably in kiosk mode across a distributed network, preventing unauthorized user access.
• Content and Ad Management: Developing a flexible and robust admin dashboard to manage complex ad creatives, content updates, and dynamic ad set assignments.
• Real-Time Data Extraction: Ensuring accurate, real-time tracking of user engagement (data pings) and location data for precise ad attribution and robust analytics.
• Complex Integrations: Seamlessly integrating third-party APIs for live content (game scores, weather) and external advertising platforms (SSPs) to support monetization.
   

We delivered an in-car advertisement solution comprising a kiosk-mode Android application, a web-based internal admin dashboard, and a robust, scalable backend infrastructure. The system securely deploys ads and engaging content, while utilizing sophisticated data collection methods to provide value to advertisers.

Key aspects of the implementation:

• Kiosk Mode Application: Developed the tablet application using Android SDK and Java, operating in secure kiosk mode (MDM integration) to ensure continuous ad playback and prevent unauthorized use.
• Intelligent Backend: Built the backend using Django and PostgreSQL, deployed on AWS EC2 instances with autoscaling enabled for resilience and high availability across multi-zone deployment.
• Dynamic Ad Delivery: The app retrieves driver-specific data and plays user-specific ad sets after checking for successful data fetches. Location/data pings are sent to the backend for engagement tracking.
   

• Ad Targeting & AI: Integrated TensorFlow for advanced features such as rider detection to optimize ad delivery.
• Data Pipeline & Analytics: Implemented ETLs to securely export engagement and location data to a Snowflake warehouse for deep analytics.
• Resilient Architecture: Utilized Django and PostgreSQL deployed on EC2 instances with autoscaling for multi-zone resilience, monitored by Datadog and New Relic for uptime assurance.
• Real-Time Content: Integrated with the Stats Perform API for live game scorecard integration and other third-party services for interactive games and trivia.
   

• Added Revenue Stream: Created a crucial new revenue stream for ridesharing partners and drivers by monetizing in-car idle time.
• Increased Customer Engagement: Interactive games, trivia, and engaging content increased customer engagement and satisfaction, leading to higher ratings for drivers.
• Enhanced Customer Targeting: Targeted ads based on demographics, location, and other criteria improved the effectiveness of advertising campaigns and brand awareness for advertisers by over 50%.
• Increased Operational Efficiency: The internal admin dashboard and scalable backend streamlined operations, making it easier to manage advertisements across multiple vehicles and locations.