Mercedes-Benz Pushes to Shorten New-Car Development With AI-Integrated Development System
AI TIMES ·
✦ AI Summary
According to AI TIMES, Mercedes-Benz will invest about KRW 740 billion to build an AI-based product lifecycle management system aimed at cut…
According to AI TIMES, Mercedes-Benz will invest about KRW 740 billion to build an AI-based product lifecycle management system aimed at cutting new-car development time by up to 30%. The system, announced on October 16, focuses on linking data across development, production, procurement, sales, and after-sales service so the company can handle decisions and procedures that have been scattered across departments. The company said it wants to expand AI from individual tasks to the entire process so it can identify earlier how design changes affect costs, safety, and production. It also said it plans to reduce reliance on physical testing and strengthen digital verification while maintaining quality and safety standards, with final decisions remaining with the development organization. The plan also includes connecting maintenance and driving data from after sales back to development so real-world usage can be reflected in the next vehicle planning. The company also made clear that while it will receive outside technical support, it intends to retain direct control over the standards, data, and AI governance of the overall transformation program.
Perspective
This issue shows that AI adoption in the auto industry is moving beyond simple automation and into a competition to redesign the development system itself. The key is not only speeding things up, but also tying together judgment standards that had been separated and shortening the cycle of trial and error. In particular, if a system that feeds after-sales data back into development takes hold, product improvement cycles could become more tightly compressed. At the same time, the stance of using external partnerships while keeping direct control suggests that data sovereignty may become part of competitiveness in manufacturing.
This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.
This article was produced with the help of an automated content generation algorithm.
Source: AI TIMES
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