VTP Glovis: An advanced portal to track finished vehicle delivery and fulfillment

Glovis America, Inc. is part of the Hyundai Glovis Group, a global logistics and distribution company headquartered in South Korea.  It primarily focuses on port processing and logistics of finished vehicles. 

• 35% improvement in portal performance
• 45% higher availability of systems
• 99.9% of uptime for the web portal
• 95% accuracy of first-time user authentication
• 98% accuracy in restricting data access to unauthorized users
• 30% reduced the delivery time for finished vehicles

• Build a web app portal to track finished vehicle deliveries
• Enable advanced search for the users to track finished vehicles through a unique identification number. 
• Provide geolocation details for each vehicle in real-time with metadata like type of vehicles, ETA, and active exceptions. 
• Enable alerts and notifications in real-time for Vehicle Identification Numbers(VINs)
• Manage data visibility restrictions based on customer ID and avoid unauthorized access. 
• Provide a unified view for all the VINs with comprehensive data on delivery times, mode of shipments, carrier performance, and delivery schedules.

• Built an advanced delivery tracking portal deployed and managed using AWS Elastic Beanstalk integrated with the Amazon RDS database 
• Used Amazon ECR to store, manage, and deploy container images for the web portal. 
• Improved availability of the portal through Application Load Balancer and implemented CI/CD pipelines through AWS CodePipeline
• Leveraged Amazon Cognito to ensure secure user authentication and authorization with AWS Lambda used to send multi-factor authentication codes through email. 
• Enabled advanced search for finished vehicle deliveries through Amazon DynamoDB’s querying capabilities. 
• Used AWS Lambda to process and store incoming data from IoT devices on freights and carriers to track effective performance.
• Integrated the data from IoT devices with AWS CloudWatch to visualize and track key performance metrics on a unified dashboard.
• Improved accountability, traceability, and compliance by integrating the AWS CloudWatch logs with AWS CloudTrail logs.
• Leveraged Amazon SNS to send real-time alerts and notifications for VINs and AWS Lambda to send SMS or email notifications using Amazon SES.
• Used AWS Identity and Access Management (IAM) to manage data access and restrict visibility based on customer IDs.
• Ensured high security for sensitive data like API keys, database credentials, and VINs for each vehicle through AWS Secrets Manager
• Used AWS Certificate Manager to manage public and private SSL/TLS X.509 certificates  for HTTPS-based security
• Leveraged Amazon VPC to ensure higher network security for the web portal

• 35% improvement in the performance of the portal
• Increased availability of the system by 45%
• Achieved 99.9% of uptime for the web portal
• Improved the accuracy of first-time user authentication by up to 95%
• 98% accuracy in restricting data access and visibility to unauthorized users
• Reduced the delivery time for finished vehicles by 30%

• AWS Elastic Beanstalk: We use AWS Elastic Beanstalk to deploy and manage a portal for tracking finished vehicle delivery.
• Amazon Cognito: We used Amazon Cognito to improve security user authentication and authorization 
• AWS Lambda: We leveraged AWS Lambda to process data from IoT devices and send multi-factor authentication requests through email
• AWS CodePipeline: We used the AWS CodePipeline to implement CI/CD pipelines.
• Amazon VPC:  We use Amazon VPC for virtual networks, including IP address ranges, subnets, routing, security, and connectivity.
• AWS ALB:  We use AWS Application Load Balancer to improve the availability through load balancing.
• AWS ACM: We utilized AWS Certificate Manager (ACM) to handle public and private SSL/TLS certificate provisioning and deployment.
• Amazon SNS: We used Amazon SNS to enable real-time notifications for the portal 
• Amazon SES: We leveraged Amazon SES to send SMS and email notifications through the platform
• Amazon ECR: We used Amazon  ECR to store, manage, and deploy Docker container images
• AWS CloudFront: We used Amazon CloudFront for serving static content delivery 
• AWS CloudWatch: We use AWS CloudWatch for monitoring portal performance metrics
• AWS CloudTrail: We use AWS CloudTrail for AWS account activity monitoring 
• AWS Secret Manager: We use AWS Secrets Manager for secure environment  variable storage
• AWS IAM: We used AWS Identity and Access Management (IAM) to manage data visibility and access restrictions for unauthorized users.