Mercedes-Benz will use artificial intelligence to reduce development time for new models by up to 30%
Blog

Mercedes-Benz will use artificial intelligence to reduce development time for new models by up to 30%

18.10.2026 Author: Nova Rent a Car
Mercedes-Benz will use artificial intelligence to reduce development time for new models by up to 30%


Mercedes-Benz introduces artificial intelligence-based system PLM.AI to accelerate development of future models

The global automotive industry is undergoing a profound transformation, in which software and advanced technologies are becoming as important as mechanical performance. In this landscape marked by rapid innovation, German manufacturer Mercedes-Benz is taking a monumental step by announcing the massive integration of artificial intelligence into the research, design and manufacturing process. By creating the new advanced Product Lifecycle Management (PLM.AI) system, the Stuttgart-based brand aims to radically change the way future cars come to life, significantly reducing development times and optimizing resources.


The new era of automotive development: What is the PLM.AI system?

Artificial intelligence is no longer just an entertainment or assistance option on board, but is becoming a fundamental tool behind the scenes in engineering centers.

  • Complete integration: The new PLM.AI system created by Mercedes-Benz intelligently connects data from all stages of a product's life cycle, from the first design sketch to the production phase and after-sales support. 
  • Maximum efficiency: By creating an intelligent and centralized database, engineering teams can make informed decisions much faster, eliminating the bottlenecks in a traditionally highly complex process.


Reducing development time by up to 30%

One of the most impressive goals announced by the German manufacturer aims to drastically optimize the launch calendar for new vehicles.

  • Huge time leap: Implementing the PLM.AI system will help increase the development speed of new generations of machines by up to 30%. 
  • Time savings: In practice, this means that future models from German brands can be brought to market with a substantially reduced development time – the equivalent of up to 17 months less compared to current industry standards.


Optimization, certification and software: Where will artificial intelligence show its usefulness?

The AI-based system will not only shorten design time, but will act as a catalyst for several critical departments within the company:

  • Cost control: PLM.AI will actively contribute to optimizing costs for materials used in production, quickly identifying efficient and sustainable alternatives. 
  • Approval and Certification: Complex bureaucratic processes for certification and approval of new technologies will be simplified through advanced digital simulations and intelligent documentation management. 
  • Early detection of failures: Algorithms will be able to anticipate and fix potential technical problems as early as the virtual simulation phase. 
  • Software development: Given the huge role that digital and infotainment systems play in modern cars, artificial intelligence will support teams of programmers in creating and testing source code.


Top Strategic Partnerships: Collaboration with CONTACT Software and Siemens

A project of such magnitude requires expertise at the highest technological level, which is why Mercedes-Benz is not acting alone in this endeavor.

  • Industrial alliances: For the successful implementation of the PLM.AI architecture, the German manufacturer collaborates closely with two internationally renowned strategic partners: CONTACT Software and Siemens. 
  • The role of the partners: The two companies provide the advanced software platforms and digital engineering solutions necessary to ensure a smooth transition and perfect compatibility between the group's existing systems and the new AI-based infrastructure.

With this massive investment in digitalization, Mercedes-Benz is strengthening its position as a technological leader and demonstrating that the future of the automobile will be shaped by the decision-making power of artificial intelligence.