![case study](https://cdn.quantiphi.com/2024/02/6dbcc95b-connected-vehicle-platform.png)
Business Impacts
50% Reduction in monthly infrastructure costs
70% Reduction in time to production using DevOps best practices
Improved scalability with single-click deployment
Customer Key Facts
- Location : United States
- Industry : Automotive
Problem Context
Wheels, a global leader in fleet management and mobility, managing over 3 million vehicles across 59 countries had an in-house platform that collected telematics data for each vehicle but did not support real-time tracking to prevent unauthorized/improper usage of the fleet’s assets. The telematics solution lacked reporting capabilities for analyzing trends and patterns at driver and vehicle levels. The underutilization of assets and operational inadequacies resulted in a loss of investment. Wheels needed a scalable solution using telematics as a strategic decision-making tool.
Challenges
- Streaming data was a pull model and not a push model
- No consistency in data capturing and data schema
- Disparate data sources
![](https://cdn.quantiphi.com/2024/02/f33c2d83-vehicle-challenges.png)
Technologies Used
![AWS Lambda](https://cdn.quantiphi.com/2024/02/83e09c49-aws-lambda.png)
AWS Lambda
![Amazon S3](https://cdn.quantiphi.com/2024/02/9c40e5d8-amazon-s3.png)
Amazon S3
![Amazon SQS](https://cdn.quantiphi.com/2024/02/9f2730e1-amazon-sqs.png)
Amazon SQS
![Amazon Athena](https://cdn.quantiphi.com/2024/02/Amazon-Athena_light-bg@4x.png)
Amazon Athena
![Amazon Glue](https://cdn.quantiphi.com/2024/02/e5b01517-arch_aws-glue_64@5x-1.png)
Amazon Glue
![Amazon DynamoDB](https://cdn.quantiphi.com/2024/02/Amazon-DynamoDB_light-bg@4x.png)
Amazon DynamoDB
![AWS CloudFormation](https://cdn.quantiphi.com/2024/02/AWS-CloudFormation@4x.png)
AWS CloudFormation
![Amazon Kinesis Data Firehose](https://cdn.quantiphi.com/2024/02/Amazon-Kinesis-Data-Firehose@4x.png)
Amazon Kinesis Data Firehose
![Amazon Kinesis Data Analytics](https://cdn.quantiphi.com/2024/02/Amazon-Kinesis-Video-Streams_light-bg@4x.png)
Amazon Kinesis Data Analytics
Digital Fleet Management Capability
Solution
Quantiphi developed a highly scalable, fully managed platform using AWS native services to address Wheels' existing challenges. This solution can monitor all assets 24x7 by capturing data points for both vehicle and driver and sending real-time alerts. Wheels is able to focus on metrics that are easily consumable. Additionally, data is used to make strategic purchase decisions, such as purchasing/selling new or old assets, type of asset, etc.
Result
- Captured and monitored logs for the fleets to generate real-time alerts and insights. It helped to
- Reduce instances of mechanical failure
- The platform loaded daily summary data of vehicles and events which included
- Tire pressure
- Average miles per hour
- Average miles per gallon
- Total trip distance
- Enhanced resource utilization enabled
- Better asset utilization
- Maintenance scheduling and planning
- Route and path optimization
- The platform's telematic data was used in various business units within Wheels to better plan events such as fuel savings, incident minimization, elevating the customer experience
- Reduce instances of mechanical failure
- Tire pressure
- Average miles per hour
- Average miles per gallon
- Total trip distance
- Better asset utilization
- Maintenance scheduling and planning
- Route and path optimization