CarSaver: A one-stop solution offering end-to-end customer data insights

CarSaver is a platform offering a comprehensive view of customers, enriching the existing internal data with third-party information from different sources across 30+ automobile brands, including Hyundai, Mercedes-Benz, Mazda, Volvo, and Porsche.

• Develop an efficient and secure analytics platform that ensures an enhanced view of the customers across different automobile brands
• Create an analytics system to segment eligible customers for upgrades, generate corresponding deals, and manage this process efficiently.
• Implement database architecture that provides reliable information on leads and marketing activities.
• Create intelligent recommendations for second-hand cars based on customer preferences and transaction history.
• Ensure data protection compliance and regulatory requirements by securely storing customer data organizationally.
• Streamline infrastructure management and configurations to ensure high-quality data in real-time for better analytics efficiency.
• Integrate secure remote access to AWS resources with the existing Single Sign-On (SSO) system.

• Developed a system using AWS ECS as the container orchestration service, AWS Lambda functions for real-time calculations, and DynamoDB as the database service to store customer data.
• Leveraged Amazon Connect contact center to automate recurring marketing tasks, audit incoming network requests, and ensure robust security and compliance.
• Used Offerlogix as a recommendation engine integrated with the AWS ECS environment to display the best trades for users looking to upgrade their vehicles.
• Amazon RDS was used to store car trade-related data, and Amazon DynamoDB was used to segment audience data.
• Employed AWS Lambda functions to perform the calculations for a financial estimate of the car transaction.
• Leveraged AWS CloudWatch to monitor critical changes in the system and send real-time alerts.

• Achieved a 20% increase in customer satisfaction scores.
• We achieved an FCR rate of 80% or higher for CarSaver’s platform.
• Simform achieved a consistent CSAT rating of 85% or higher for CarSaver’s platform.
  

• AWS Lambda: We utilized AWS Lambda ETL jobs to generate leads, nurture, and improve conversions.
• Amazon Connect:We implemented Amazon Connect for personalized customer interaction with improved managing inbound and outbound communication, enhancing engagement, and optimizing support.
• Amazon DynamoDB: We used DynamoDB to store customer data, trade info, leads, marketing, configuration settings, and code management.
• Amazon Aurora:We used Aurora as a database storage solution for database compliance purposes.
• Amazon CloudWatch:AWS Cloudwatch monitors resources and provides real-time alerts on specific changes.
• Amazon S3 buckets:We used AWS S3 buckets to store configuration and customer data files.
• Amazon Elastic Container Service(ECS):We used the Amazon Elastic Container Service for application deployment as a container orchestration tool.
• AWS Auto Scaling: We used AWS autoscaling to scale up or down according to incoming traffic/load.
• AWS Config:We leveraged AWS Config to track the configuration history and change notifications for better governance.