Deloitte Client Spotlight Daimler Trucks Asia

Summary

In this video, the CEO of Daimler Trucks Asia discusses the company's transformation towards a data-driven organization to enhance quality management and safety. With trucks operating across 150 markets, the initiative aims to proactively sense and address potential issues before they lead to incidents. By collaborating with Deloitte, they have accelerated issue detection by 11 months and saved approximately $8 million in warranty costs annually. The focus on innovation and collaboration is emphasized as essential for maintaining industry leadership and achieving significant improvements in quality management.

Takeaways

• 🚚 The speaker is responsible for quality management at Daimler Trucks Asia, overseeing operations across 150 markets.
• 🌍 The company operates traditional manufacturing plants in Japan and India, producing Mitsubishi Fuso trucks.
• 💡 The speaker aims to disrupt the company by encouraging innovative thinking and new business models using technology.
• 📊 The goal is to transform Daimler Trucks Asia into a data-driven organization, leading the commercial vehicle industry into the future.
• 🔍 The proactive sensing program is designed to shift from reactive to insight-driven decision-making in quality management.
• ⚠️ Proactive sensing helps identify potential risks before they lead to safety incidents, aiming to detect failures early.
• ⏳ Previously, it took nearly two years to identify and resolve quality issues; the new approach aims to accelerate this process.
• 🤝 Collaboration with Deloitte introduced effective techniques and algorithms for faster issue identification and resolution.
• 💵 The proactive sensing initiative has already saved about $8 million annually in warranty costs by improving quality detection times.
• 📈 Future improvements involve real-time data connections from trucks, evolving insights from basic to smart insights.

Q & A

What is the primary role of the speaker in Daimler Trucks Asia?

The speaker is responsible for quality management at Daimler Trucks Asia, overseeing operations across various markets.

What challenge does the speaker identify within the traditional manufacturing industry?

The speaker aims to disrupt the traditional industry by encouraging new business models and leveraging technology.

What is the goal of transforming Daimler Trucks Asia into a data-driven organization?

The goal is to lead the commercial vehicle industry into the future through insight-driven decision-making and predictive capabilities.

What problem did Daimler Trucks Asia face with their quality management process?

They experienced lengthy resolution times, sometimes taking up to two years to identify and resolve quality issues.

How did proactive sensing aim to improve the quality management process?

Proactive sensing was designed to detect potential failures before they caused safety incidents, enabling quicker response times.

What was the impact of collaboration with Deloitte on Daimler Trucks Asia's quality management?

Collaboration with Deloitte helped in identifying issues faster through advanced algorithms and data analysis, resulting in significant improvements.

What were the financial savings achieved through improved proactive sensing?

The improvements led to an estimated savings of $8 million per year in warranty costs.

What advancements are expected from connecting trucks with real-time data?

Connecting trucks with real-time data is anticipated to transition the company from pure insights to smart insights, enhancing decision-making.

Why is innovation important for Daimler Trucks Asia according to the speaker?

Innovation is crucial for maintaining a competitive edge and ensuring that the company stays ahead in the industry.

What does the speaker suggest is necessary to achieve significant results in the organization?

The speaker emphasizes the importance of collaboration, motivation, and empowering employees rather than just managing them.