Developed a Connected Vehicle Platform that Delivers Efficiency, Safety and Real-Time Analytics
Case Study
The Client
The TVS Group, a premier Indian business conglomerate and a leading supplier of automotive parts, has its headquarters in Chennai, Tamil Nadu, India. The group is a substantial employer, with over 60,000 employees as part of its workforce. The group’s extensive network of over 90 subsidiary companies, including TVS Motor Company and TVS Supply Chain Solutions, serves a broad and diverse customer base both in India and internationally. This wide-reaching customer base is a testament to the group’s significant impact and presence in the automotive and related industries.
Business Context
Vehicle owners often face significant challenges with poor servicing, a major pain point that begins with a breakdown, towing to a garage, and lengthy waits for parts. TVS Automobile Solutions (TVS), a leading aftermarket service provider, recognizes this issue and is committed to delivering hassle-free servicing, guaranteeing prompt and accurate repairs for vehicle owners. In a strategic global expansion, TVS was looking to transform their traditional aftermarket business to seamlessly serve a larger customer base by leveraging a data-driven platform on Google Cloud.
Challenge:
The challenge was to build a telematics platform that can locate vehicles and its events in real-time, to cater users with live information related to various aspects of the vehicle operation. This includes a live dashboard enabling TVS to monitor vehicles, diagnostic trouble codes, alerts, and provide on-road assistance. The objective was to cater users with live information related to various aspects of the vehicle operation with telematics fleet management.
Opportunity:
Considering the business requirement, Niveus recommended TVS to develop a platform on Google Cloud for its ability to process real-time data and its analysis. Through the continuous analysis of real-time data, GCP can contribute to optimizing vehicle operations, bolstering safety measures, and fostering a proactive approach to maintaining high standards in both vehicle performance and driver well-being.
Business Solution
The platform was designed to operate for 5000 vehicles in the first phase. We provided an API to mobile as well as a dashboard app for real time information of the vehicles such as trip details and vehicle health, for the customer. The telematics platform was deployed to consume data in real time from the IOT core and enables building a pipeline to process the incoming data and load appropriate data endpoints.
Other key implementations of the platform include providing notifications and alerts, a high performing data layer for large analytical and operational workloads in real time, an enterprise data warehouse with aggregated data for each vehicle and a scalable API layer with monitoring and easy integration. Monitoring provides a range of safety precautions such as monitoring speed, notification of accident-prone areas and harsh braking locations, continuous driving etc.
- Utilized Apache Beam and Dataflow for efficient and scalable data processing
- Leveraged BigTable for high-speed data storage and retrieval
- Employed Pub/Sub for reliable asynchronous communication between services
- Integrated BigQuery for historical data analysis and reporting
- Secured and managed APIs with Cloud Endpoint
- Deployed and scaled API components on GKE
- Reacted to events with Node.js functions on Cloud Functions
- Optimized trip state access with in-memory store on Google Cloud Memory Store
- Utilized Google Cloud Storage for efficient and cost-effective data storage
- Handled real-time data demands with robust cloud infrastructure
- Adapted and evolved the system with managed services and containerization
- Gained valuable insights from historical data in BigQuery.
Key Value Delivered
- Delivered data and analytics on vehicle operation
- Improved driver safety through accident prevention measures
- Enhanced customer satisfaction by providing users with information such as the nearest service center and RSA to vehicles.
- Enhanced safety standards insights such as vehicle location, driving patterns, engine diagnostics and vehicle activity
- Enabled of predictive insights and geo-fencing
- Reduced operating costs from simplified access to information for users
Business Impact
33%
Reduction in maintenance time
20 TB
Transaction data migrated to Cloud Storage for business continuity in case of disaster
Technology Stack
Google Kubernetes Engine
Cloud DataFlow
Cloud Pub/Sub
Cloud Memory Store
Cloud Storage
Cloud BigTable
Cloud SQL
Cloud BigQuery
Cloud Function
Virtual Private Cloud
Cloud Load Balancer
Cloud Armor
Customer Feedback
Harness the power of Google Cloud to develop telematics solutions that deliver efficiency, safety, and real-time analytics for transformative results.
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