Case Study
Connected vehicle platform optimization drives major data savings for global automotive giant
OUR CLIENT
This company is India’s largest commercial vehicle manufacturer and a leading global automobile manufacturer renowned for producing diverse vehicles, including cars, trucks, buses, and military vehicles. It operates in 100+ countries, is dedicated to sustainability, and is at the forefront of developing electric and hybrid vehicles to minimize environmental impact. With a vast network of over 250 dealerships, it also provides comprehensive after-sales services to customers.
THE CHALLENGE
Rapid growth and inefficient data processing hinder scalability and increase operational costs
The client faced significant challenges with its rapidly growing connected vehicle fleet, which added over 10,000 vehicles per month, totaling more than 100,000 connected vehicles. The platform struggled to handle data ingestion from 106 telemetry packets across 54 business features, which delayed diagnostic controller area network data processing and hampered real-time fault detection and analysis. The current architecture struggled to keep up with the increasing data flow and processing demands, leading to delays in fault analysis and reducing responsiveness to potential vehicle issues.
Additionally, the system faced challenges in seamlessly integrating new signals due to scalability and flexibility constraints. Enhancing the data governance framework further strengthened data quality and compliance. These issues risked vehicle reliability, customer satisfaction, and operational efficiency, prompting the client to seek an architectural overhaul to improve scalability, data management, security, and real-time data analytics.
The goals of the consultancy engagement were strategic recommendations to overhaul the architecture, enhance data processing capabilities, and establish a robust framework for both new signal addition and data governance, ensuring the platform could scale efficiently and meet future demands.
THE TRANSFORMATION
Connected services platform enhances data management, reduces costs, and improves scalability
UST delivered a comprehensive architecture to optimize the client’s connected vehicle platform, including its internal combustion engine. By conducting an in-depth analysis of its data collection, storage, and transmission processes, UST identified inefficiencies and areas for improvement. UST benchmarked the client’s system against automotive industry best practices, focusing on reducing data redundancies, improving data transmission efficiency, and enhancing cloud-based data storage optimization. UST also introduced a customized data governance model, establishing clear guidelines to ensure data consistency, quality, and compliance across the platform.
This new framework empowered the client to manage its connected vehicle data more efficiently, reducing data storage costs and enhancing scalability. The solution equips the client with cost-effective and sustainable data management strategies for future growth.
THE IMPACT
Data management optimization reduces storage costs by 50% and data transmission costs by 70%
Implementing UST's optimization recommendations enabled the client to achieve substantial cost savings and operational efficiencies, including:
- 50% reduction in data storage costs—By eliminating redundancies and optimizing cloud storage, the client drastically reduced storage requirements, achieving significant cost savings and reducing energy consumption, contributing to more sustainable operations.
- 70% reduction in transmission costs for the PV-ICE system—Enhanced data transmission protocols for the solar power system led to substantial savings by reducing bandwidth usage.
- Improved real-time monitoring and diagnostics—Optimized data transmission and processing allowed faster and more reliable data flows, enhancing the client’s ability to monitor and diagnose vehicle performance in real time.
- 42% reduction in transmission costs for EV systems—Optimized data handling further lowered costs associated with managing connected vehicle data.
- 10% reduction in compute clusters—Optimized data processing reduced the need for computational resources, improving infrastructure performance and cutting operational expenses.
Discover how UST’s connected services platform optimization can reduce your operational costs, streamline data management, and enhance sustainability. Unlock the potential for real-time insights and future growth through scalable, efficient solutions.
RESOURCES
https://www.ust.com/en/insights/canadian-manufacturer-modernized-systems-data-management-fuel-growth