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Munich / Paris.  The BMW Group and Mistral AI are partnering to advance the use of AI in crash simulation. The aim is to improve quality, accuracy and speed in complex engineering tasks. The collaboration marks a first step towards scaling domain-specific AI across further areas of vehicle development and the BMW Group value chain.   

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Munich/Zagreb. The BMW Group and the Croatian University of Zagreb’s Regional Centre of Excellence for Robotic Technology (CRTA) continue to advance joint research in battery cell production. The “Insight” research project will develop and implement practical AI models to optimise battery cell production at the BMW Group. The research project covers the entire battery cell value chain: from electrode production to end-of-line testing and in-house developed direct recycling.

How the research project saves raw materials, costs and time

At the Battery Cell Competence Centre (BCCC) in Munich, the BMW Group is developing battery cells for future generations of high-voltage batteries. As part of this process, numerous test series are conducted, which by their very nature require significant time and material investment. At the same time, these tests tie up manufacturing equipment and laboratory capacity. This is where the “Insight” research project comes in: Its artificial intelligence network uses existing test data, as well as real-time data from ongoing production, to accurately predict battery cell process parameters and performance data. As a result, the duration and number of test series can be significantly reduced, while maintaining or improving quality. In this way, the newly developed AI systems reduce the material and time required in individual process steps by more than 50 percent.

Other cell production use cases

The research project’s prediction models not only reduce the number of test series but also support final approval of battery cells. Following initial charging at the end of production, the cells must be stored for a defined period at precisely specified temperatures before they can be installed in a battery housing. This phase, also referred to as the “quarantine”, requires corresponding storage capacity. However, the research project’s AI systems are able to conduct a full analysis of the battery cells in advance, potentially eliminating this process step in the future.

Research collaboration combines theory and practice

Since the project was launched in 2024, the BMW Group and the University of Zagreb have been developing joint solutions using artificial intelligence to improve battery cell production. To this end, doctoral candidates and students at the University of Zagreb are collating and structuring available production data and using it to create AI models that can identify specific patterns. These AI models then make predictions that further optimise production performance, quality and costs. “We are working on scaling the newly developed AI models from the prototype environment,” explains Christian Siedelhofer, head of Technology Development Lithium-Ion Battery Cells at the BMW Group. One option would be to enable cell manufacturers. “We are also examining to what extent these models are suitable for additional use cases within our production network.”

Win-win through knowledge sharing

The University of Zagreb contributes expertise in mechanical engineering, electrical engineering and computer science to the project. Ongoing knowledge sharing benefits both partners: The University of Zagreb provides the BMW Group with access to the latest research findings, while its doctoral candidates and students have the opportunity to apply their theoretical knowledge in practice.

Development of young talent

Another aspect of the cooperation is the development of young talent. “Our joint project gets doctoral candidates and students interested in AI and battery cells and the exciting work we do at our Battery Cell Competence Centres,” says Stefan Kerscher, head of Technology Development Battery Cells at the BMW Group. “We are delighted when young talents decide to embark on a career with our company.” The cooperation offers students intensive mentoring and the opportunity to expand their professional network across the industry, enhancing their attractiveness on the job market and opening up outstanding career opportunities. The cooperation between the BMW Group and the University of Zagreb strengthens the innovation capability and competitiveness of both partners.

Battery cell expertise along the entire value chain

The BMW Group consolidates its battery cell know-how at its Competence Centres in Munich, Parsdorf and Salching. The Battery Cell Competence Centre (BCCC) in Munich houses research and development for the battery cells of the future. The best battery concept from the BCCC will be produced under near-series conditions at the Cell Manufacturing Competence Centre (CMCC) in Parsdorf. Close cross-divisional collaboration between Development, Purchasing and Production integrates product and process in a unique way. In addition to producing sample cells, the BMW Group is also focusing its efforts on the reuse of materials. As part of this process, the company has put into service a Cell Recycling Competence Centre (CRCC) in Salching, Lower Bavaria, together with Encory GmbH, which will implement the innovative direct recycling concept. The intellectual property for the recycling method is owned by the BMW Group.

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Munich. The BMW Group is consistently advancing the digitalisation and use of artificial intelligence in production. A key element in this effort is “Physical AI”, which combines digital artificial intelligence (AI) with real machines and robots. This enables intelligent systems such as humanoid robots to be integrated into real-world production processes.

For the first time, the BMW Group is now bringing Physical AI to Europe and launching a pilot project with humanoid robots at the Leipzig plant. The project aims to integrate humanoid robotics into existing series production of cars and to explore further applications in the production of batteries and components.

“Digitalisation improves the competitiveness of our production – here in Europe and worldwide. The symbiosis of engineering expertise and artificial intelligence opens up entirely new possibilities in production,” said Milan Nedeljković, Member of the Board of Management of BMW AG, Production.

Last year, the BMW Group successfully implemented a pilot project with humanoid robots at its Spartanburg plant in the United States. The insights gained from this project are being leveraged to further develop and scale Physical AI applications.

Unified IT and data model in the production system

Artificial intelligence is already an integral part of the BMW Group’s production system. From the virtual factory with digital twins and AI‑enabled quality controls to intralogistics with autonomous transport solutions, intelligent systems are used in almost all production steps.

A prerequisite for the effective use of artificial intelligence in production is a unified IT and data model across the entire production system. The BMW Group has consistently transformed isolated data silos into a unified data platform in its production system meaning that all data is consistent, standardised, and available at all times. This enables digital AI agents to take on increasingly challenging tasks autonomously and in complex environments while continuously learning and becoming available for additional areas of application. The introduction of intelligent and autonomous decision‑making agents marks a paradigm shift in production. In combination with robots, these digital AI agents are what make up Physical AI.

“Our aim is to be a technology leader and to integrate new technologies into production at an early stage. Pilot projects help us to test and further develop the use of Physical AI – that is, AI‑enabled robots capable of learning – under real-world industrial conditions,” said Michael Nikolaides, Senior Vice President Production Network, Supply Chain Management at BMW Group.

Digitalisation and artificial intelligence are core elements of BMW iFACTORY and are the foundation for future‑proof, flexible, and competitive production.

Humanoid robotics complements existing automation

The BMW Group is strategically expanding its automation portfolio to include Physical AI and humanoid robotics. Humanoid robots are viewed as a value‑adding complement to existing automation. Particularly, they demonstrate potential in monotonous, ergonomically demanding, or safety‑critical tasks. The goal is to relieve employees and further improve working conditions.

Center of Competence for Physical AI in Production consolidates expertise

Its consistent data platform in production makes the BMW Group an attractive partner for technology companies seeking to test the possibilities of Physical AI – particularly humanoid robotics – in an industrial environment under real-world conditions. By setting up the new “Center of Competence for Physical AI in Production”, the BMW Group is taking the next step in consolidating its expertise and ensuring that the full range of knowledge can be leveraged across the organisation.

The BMW Group is following a clearly structured approach. Technology partners are evaluated according to defined maturity and industrialisation criteria and tested in pilot projects under real-world production conditions. Following a theoretical assessment, an evaluation is carried out at the manufacturer’s site in the laboratory using real use cases from the BMW production system to test integration capability. If this phase is successful, it is followed by an initial test deployment under real-world production conditions at a BMW Group plant and subsequently the actual pilot phase.

First pilot project with humanoid robots in Europe

In collaboration with Hexagon, a long‑standing, established partner of the BMW Group in the field of sensor technology and software, the first pilot project in Europe is now underway. Hexagon’s organisational unit located in Zürich, Hexagon Robotics, specialises in Physical AI and presented its first humanoid robot, AEON, in June 2025. Following an initial theoretical evaluation phase and successful laboratory tests, there was an initial test deployment at BMW Group Plant Leipzig in December 2025. A further test deployment is planned from April 2026 to ensure full integration for the actual pilot phase starting in summer 2026.

The deployment in Leipzig is focusing on testing a multifunctional application of the robot. It is based on AEON’s design, whose human‑like body allows a wide range of hand and gripper elements or scanning tools to be flexibly attached and enables dynamic use on wheels. During testing and later in the pilot phase, the robot will be used in the assembly of high‑voltage batteries and in component manufacturing.

Successful pilot at BMW Group Plant Spartanburg provides key insights for use of humanoid robots in production

The world’s first deployment of humanoid robots at a BMW Group plant took place at the Spartanburg plant in the United States in 2025, in collaboration with the technology company Figure AI. The results demonstrated that Physical AI can deliver measurable added value under real-world conditions. Within ten months, the robot Figure 02 supported the production of more than 30,000 BMW X3, working ten-hour shifts daily from Monday to Friday. Figure 02 handled the precise removal and positioning of sheet metal parts for the welding process – a task that is particularly demanding in terms of speed and accuracy while also being physically exhausting. In total, it moved more than 90,000 components and covered approximately 1.2 million steps in around 1,250 operating hours.

The pilot confirmed that humanoid robots can safely perform precise, repetitive work steps – such as positioning components with millimetre precision – and provided important insights for the further deployment of Physical AI in production.

During the initial test phases with Figure 02, it was essential to involve all areas of the production IT infrastructure, occupational safety, production process management, and shop floor logistics at an early stage.

One key finding was that the transition from the laboratory to the actual production environment was faster than expected. Motion sequences trained in the laboratory could be quickly transferred into stable shift operation. To ensure smooth coexistence with existing systems, integration into the BMW Smart Robotics ecosystem was implemented via standardised interfaces.

The body shop was deliberately selected for the test phase in Spartanburg, as it already has a high degree of automation. BMW Group employees in this area have extensive experience in integrating new technologies and processes. For example, material supply on the line is already carried out almost exclusively via automated smart transport robots (STR). The project team’s early communication ensured transparency from the outset and promoted acceptance. The deployment of humanoid robots was met with great interest among employees and quickly became a natural part of everyday work during the course of the project.

The BMW Group and Figure are currently evaluating additional use cases for deploying the Figure 03 robot.

Additional quotes for use:

Michael Nikolaides, Senior Vice President Production Network, Supply Chain Management at BMW Group:

“Our aim is to be a technology leader and to integrate new technologies into production at an early stage. Pilot projects help us to test and further develop the use of Physical AI – that is, AI‑enabled robots capable of learning – under real-world industrial conditions. The successful first deployment of humanoid robots at our BMW Group plant in Spartanburg in the USA proves that a humanoid robot can function not only under controlled laboratory conditions but also in an existing automotive manufacturing environment.”

Michael Ströbel, Head of Process Management and Digitalisation, Order to Delivery at BMW Group:

“We are delighted to deploy a humanoid robot for the first time in a pilot project at a plant in Germany. Following evaluation by our Center of Competence for Physical AI in Production, tests were carried out in the laboratory and at Plant Leipzig at the end of last year. This year, our focus is on step‑by‑step integration into our production system to explore a wide range of applications. The emphasis is on researching multifunctional use of the robot in various production areas such as battery manufacturing for energy modules and component production for exterior parts. With Hexagon, we have found a proven long‑standing partner with a highly innovative approach to humanoid robotics for this project.”

Felix Haeckel, Team Lead CoC Physical AI for Production:

“At our new Center of Competence for Physical AI in Production, we are pooling our expertise to make knowledge on AI and robotics widely usable within the company. In recent years, we have built up an international team of experts that, in addition to in‑house research and programming, is dedicated to the gradual integration of AI into the existing production system. At the same time, our team in Munich is driving its own robotics research to set up, support, and further develop pilot projects in the field of Physical AI at our plants.”

Arnaud Robert, President of Hexagon Robotics:

“We are very pleased to be working with the BMW Group to advance the use of humanoid robots in real‑world environments.”

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*** OnLoc images and Assets of the AI-powered BMW Intelligent Personal Assistant with Alexa+ technology will be added before release on Jan 5th *** 

Munich. The new BMW iX3 is in the spotlight at CES 2026. For the first time, the enhanced, AI-powered BMW Intelligent Personal Assistant with Alexa+ technology will be presented to the public. As the debut model for the Neue Klasse, the BMW iX3 showcases groundbreaking innovations that will shape the entire model range of the brand in the future. By 2027, the technologies of the Neue Klasse will be integrated into a total of 40 new models and model updates from BMW.

BMW Intelligent Personal Assistant expanded with Amazon Alexa+.
One year after the world premiere of the new BMW Panoramic iDrive with BMW Operating System X at CES 2025, visitors to this year’s CES can experience the revolutionary user-interaction concept firsthand in the BMW iX3. With a balanced combination of digital functions and physical elements, it elevates intuitive operation according to BMW’s guiding principle ‘Hands on the Wheel, Eyes on the Road’ to a new level of driver orientation. Built on the technological foundation of a software-defined vehicle, the customer experience in the BMW iX3 continues to evolve. For the first time, BMW presents the next generation AI-powered BMW Intelligent Personal Assistant. BMW is the first manufacturer to expand its voice assistant with the AI assistant Amazon Alexa+. This enables intuitive and intelligent interaction between passengers and the vehicle in a natural dialogue. The interaction includes the operation of vehicle functions as well as access to information and knowledge beyond the vehicle. For the first time, passengers can ask multiple questions in a single sentence—covering both your vehicle’s features and e.g. general knowledge topics.

The integration of Amazon Alexa+ into the BMW Intelligent Personal Assistant represents a technological leap forward that focuses on added value for the customer. The AI technology used in the BMW Intelligent Personal Assistant is a Large Language Model (LLM), a generative AI that understands language and is capable of formulating its own responses. Starting in the second half of 2026 at the latest, this further development will be gradually rolled out in Germany and the USA across all BMW models equipped with BMW Operating System 9 and X. (LINK TO FULL RELEASE)

BMW iX3 transforms waiting time into entertainment: stream a movie, play a video game or make a video call.^[1]
The BMW booth at CES also focuses on the wide range of entertainment options in BMW Operating System X. It offers an extensive selection of apps, videos, and games. In addition to the popular streaming service Disney+, customers in the BMW iX3 have access to the Video App (powered by TiVo™). This app enables video streaming on the central display when the vehicle is stationary, with a continuously growing selection of content such as news, live, and on-demand streaming. The portfolio of the video streaming platform will continue to evolve.

The BMW ConnectedDrive Store will also soon include the YouTube Music app for the first time, joining the more than 85 apps worldwide in categories such as Music & Audio, Entertainment, Gaming, News, Travel & Local. YouTube Music gives customers access to an extensive catalog with over 300 million tracks, including the official studio recordings, remixes, live performances, and hard-to-find covers. Zoom now allows video calls on the iX3’s central display for the first time when the vehicle is stationary. As soon as the vehicle starts moving, the video transmission stops, and the conversation seamlessly continues via audio.

In-car gaming via AirConsole, as introduced for the first time with the BMW Operating System 8.5, is also available in the new BMW iX3, featuring world-renowned titles like UNO^®️ Car Party!
A new highlight in AirConsole’s extensive game library is Hot Wheels: Xtreme Overdrive™️ from Mattel, available exclusively to BMW customers. AirConsole allows users to use their own smartphones as controllers, so all passengers can play together or compete against each other. Additional games and apps for in-car entertainment can be accessed through the BMW ConnectedDrive Store. Selected games in the BMW iX3 can also be controlled using Bluetooth controllers from conventional gaming consoles.

Sixth-generation BMW eDrive technology: higher efficiency, more range, faster charging.
The sixth-generation BMW eDrive technology developed for the Neue Klasse comprises highly efficient electric motors, fundamentally new high-voltage batteries with cylindrical cells, and 800V technology. The BMW iX3 50 xDrive is powered by two electric motors, which together generate output of 345 kW/469 hp and 645 Nm (475 lb-ft) of torque. It accelerates from 0 to 100 km/h (62 mph) in 4.9 seconds and reaches a top speed of 210 km/h (130 mph). Its electric all-wheel-drive configuration consists of an extensively upgraded electrically excited synchronous motor (EESM) with particularly high levels of efficiency at the rear axle and, at the front axle, a new asynchronous motor (ASM) distinguished by its compact design and high cost efficiency. The combination of EESM and ASM is evidence of the BMW Group’s commitment to technological neutrality within electric mobility as well. The drive technology developed for the Neue Klasse reduces energy losses by 40 per cent compared to fifth-generation BMW eDrive technology, weight by 10 per cent and manufacturing costs by 20 per cent.

The new high-voltage battery concept with cylindrical cells for the Neue Klasse also achieves significant advances. The energy density on a cell level is 20 per cent higher than with fifth-generation BMW eDrive technology, and the new concept also paves the way for a 30 per cent increase in charging speed. The cylindrical cells are integrated directly into the high-voltage battery (“cell to pack”), which benefits energy density and cost efficiency. Added to which, the high-voltage battery is integrated into the vehicle architecture as a structural component to minimise weight (“pack to open body”). The high-voltage battery in the BMW iX3 50 xDrive has a usable energy content of 108.7 kWh, enabling a range of up to 805 kilometres (500 miles) in the WLTP cycle.

BMW Charging: short charging times, premiere for bidirectional charging.
The advances brought by sixth-generation BMW eDrive technology have a significant influence on the charging experience, too. A maximum charging rate of 400 kW enables users to fill their new BMW iX3 with enough energy at an 800V direct current (DC) rapid charging station to add up to 372 kilometres (231 miles) ^[2] of range in just ten minutes. The high-voltage battery can charge from 10 to 80 per cent capacity in 21 minutes. Thanks to the battery management tech with integrated switching matrix developed completely in-house by the BMW Group, the new BMW iX3 can also be charged from 400V DC stations. Upgrades to the battery preparation also help to shorten charging times. The new BMW iX3 50 xDrive can top up on alternating current (AC) at 11 kW as standard or 22 kW ^[3] as an option.

Extensive bidirectional charging functions ^[3] are also available for the new BMW iX3, meaning that it can be used as an energy supply source for a variety of applications. The Vehicle-to-Load (V2L) function turns the new BMW iX3 into a mobile powerbank, which can supply electric devices with power while on the move. Vehicle-to-Home (V2H) hands it the role of storage unit for solar energy generated by home-fitted photovoltaic systems. And customers can also hook their car up to the energy market via the Vehicle-to-Grid (V2G) application and earn some money in the process.

The selection of standard-fitted and optional charging accessories has been significantly expanded. For flexible charging during a journey, customers can make use of the new Multifunction Charger, which comes with several adapters for charging and discharging the high-voltage battery. The new BMW Wallbox Professional (DC) enables bidirectional charging at home or work. And BMW Charging offers the option of cost-optimised /solar-power-optimised home charging.

In order to give owners the best possible charging experience, the new BMW iX3 will be fitted as standard with an NACS (North American Charging Standard) compatible charging port. This will provide iX3 owners access to the vast Supercharger network, while a standard CCS (Combined Charging System) adapter will preserve access to other providers from coast to coast, thus ensuring that iX3 owners are never far from a provider no matter where the journey is taking them.

Heart of Joy: The Ultimate Driving Machine reaches a new level.
One of four superbrains in the electronics architecture of the Neue Klasse, the Heart of Joy looks after drivetrain and driving dynamics management. This high-performance control unit is responsible for the drivetrain, brakes, energy recuperation, and steering functions, and processes information up to ten times faster than conventional control units. In this way, the potential of electric mobility in terms of instantaneous power delivery, smooth power transfer, agility, stability, and efficiency is fully realized.

Together with the BMW Dynamic Performance Control software stack developed fully in-house, the Heart of Joy calculates all the driving dynamics parameters with a new level of speed and precision. The driver and passengers in the new BMW iX3 experience a uniquely harmonious and BMW-typical driving sensation whatever the situation. Every movement of the accelerator, brake pedal, and steering is executed directly and with assurance and precision. Supreme traction and – thanks to the unique Soft Stop function – the smoothest stopping process ever achieved by a BMW are among its other attributes. In addition, the efficiency of the new BMW iX3 is optimized by the integrated management of drivetrain, braking system, and energy recuperation. In everyday driving, 98% of braking maneuvers are carried out using recuperation only, without application of the friction brakes. The only occasions these are called upon are under emergency braking and during extremely sporty driving.

“Superbrain of automated driving” for the driver assistance systems with of the next technology generation.
Another high-performance computer brings together all the automated driving and parking functions in the BMW iX3. With 20 times greater processing power than in the previous vehicle generation, the watercooled “superbrain of automated driving” enables a significant technological advance with the Neue Klasse in this area as well.

BMW Symbiotic Drive provides seamless support.
The BMW iX3 uses its Symbiotic Drive capability combined with driver assistance to create a completely new driving experience. Whenever the driver wants to accelerate, brake or steer, their inputs merge seamlessly and intuitively with AI-enabled software.The result is a whole new form of Sheer Driving Pleasure. For example, the automatic cruise control system is not deactivated with only a light press of the brake pedal; instead, it is only switched off when the driver brakes harder. In the same way, the lane control assistance remains active even after light steering inputs by the driver.

With the optional BMW Highway / Motorway Assistant ^[4], drivers can take their hands off the steering wheel permanently at speeds of up to 85 mph / 130 km/h, while remaining attentive and ready to intervene. The system assists with vehicle guidance within the lane and can also perform automated lane changes when needed – a simple glance confirmation by the driver is sufficient. With active BMW Maps route guidance, the system proactively suggests lane changes at highway interchanges and exits, which can be confirmed with a quick glance in the wing mirror. The Highway Assistant remains active while passing through interchanges and until the end of highway exits. This allows BMW iX3 drivers to enjoy Level 2 driver assistance without touching the steering wheel in even more situations.

The new Highway and City Assistant ^[4] also offers innovative functions for urban environments, such as stopping and automatically restarting at traffic lights. Additional driver assistance features for complex urban driving situations will be rolled out later via over-the-air software updates.

[1] Availability of individual apps and content depends on the country. Download and use of the apps require connectivity via BMW Digital Premium or a connection to a WiFi network or mobile smartphone hotspot. App-specific subscriptions are not included in BMW Digital Premium.
[2] The range added after 10 minutes of high-power charging was determined according to ISO12906 in the WLTP cycle. This figure, as well as charging performance, depends on vehicle equipment, charging and battery aging condition, battery temperature, individual driving profile, use of auxiliary consumers, ambient temperature, and the charging power provided at the charging station.
[3] Available from production period 3/2026.
[4] Availability depends on the country.

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Munich. The high-voltage battery is a vital component of every electric vehicle. With the high-voltage batteries for the sixth generation (Gen6) of BMW eDrive, the BMW Group has made a big step in technology, delivering major improvements in energy density, charging speed and range. In readiness for series production, the BMW Group is currently building five assembly sites across three continents: in Irlbach-Straßkirchen (Lower Bavaria), Debrecen (Hungary), Shenyang (China), San Luis Potosí (Mexico) and Woodruff (USA). Before the series launch, production processes will be developed and tested at the BMW Group’s pilot plants for high-voltage batteries in Parsdorf and Hallbergmoos, and at the Research and Innovation Centre (FIZ) in Munich. As a data scientist and IT project manager, Patrick Zimmermann is responsible for implementing the Industrial Internet of Things (IIoT) and data analytics in the high-voltage battery production of the BMW Group. His role is to weave all relevant software strands together.

Patrick, what do you do as a data scientist and IT project manager in high-voltage battery production?

Patrick Zimmermann (PZ): I coordinate an interdisciplinary team that oversees the entire data processing chain: from data provision at the manufacturing facilities to edge applications that transfer our production data to the cloud and to analytics platforms.

What kind of expertise do you need for that?

PZ: First and foremost, the job requires a solid understanding of the technologies used to manufacture our high-voltage batteries. For this latest generation, which uses the new cylindrical round cells, we’ve developed a completely new production process. Of course, strong IT knowledge is also essential – with a clear focus on the software architectures behind the data analytics and artificial intelligence. Understanding the individual software modules and interfaces is crucial for choosing the right solutions for our production from the wide range of technologies and applications available.

This means you always have your finger on the pulse and can anticipate IT trends?

PZ: Data analytics and AI for production are evolving at a tremendous pace right now. That's why it’s important to keep an eye on new approaches and evaluate whether they’re suitable for BMW. Or whether they could even replace existing solutions – perhaps by offering lower costs or enhanced features. Not every analysis or AI solution that performs well in a particular industry or use case can be directly applied to battery production.

Production of Gen6 high-voltage batteries is groundbreaking for the BMW Group. What, in your opinion, makes this project unique?

PZ: One unique aspect is the end-to-end responsibility – from data provision and data transfer to the cloud, all the way through to selective and even continuous analyses. We process both numerical data and visual representations from the equipment. Throughout the process, we maintain a consistent zero-defect approach to producing our high-voltage batteries. Highly intelligent, AI-supported quality checks are integrated into the production process to help us achieve this. We rely on OPC UA interface technology for plant connectivity. This enables us to model standardised digital twins directly at our plants, eliminating the need for additional data processing. Data is transferred to the BMW Group's clouds, using the same data structure across all production sites. This allows us to roll out standardised analysis dashboards worldwide and, for example, implement process optimisations more rapidly. We’ve already established this IT architecture at our high-voltage battery pilot plants. We have now been able to transfer our analysis dashboards to the first series production plants with minimal effort.

Entire new plants and assembly halls are being built for production of the new Gen6 high-voltage batteries. Is this beneficial for the IT structure?

PZ: Absolutely! Building several plants for Gen6 high-voltage batteries on greenfield sites gives us a whole new level of design freedom. This allows for much bigger leaps in IT, compared to integrating new solutions into existing plants – a so-called brownfield. I, for one, find it really exciting to help shape the Industrial Internet of Things and data analytics on such a large scale right from the start.

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Munich. Whenever vehicle production equipment fails at a BMW Group plant, every minute counts. The maintenance team must work quickly to identify and resolve the cause of the fault. Now, employees can ask the new digital AI assistant, “Factory Genius”, for help: It can suggest solutions for the specific system problem within seconds, reducing the time required for error diagnosis to a minimum.

“AI applications have become an integral part of modern production systems and are a key element of the BMW Group’s digital transformation. Factory Genius is an example of how generative AI, in particular, can streamline operations for everyone involved and enhance economic efficiency,” says Michael Ströbel, head of Process Management and Digitalisation, Order to Delivery at the BMW Group. But how exactly does the digital assistant, recently launched in its initial development phase, support maintenance staff?

Knowledge discovery tool

The tool essentially works like a search engine, quickly filtering relevant answers to specific user queries from a vast amount of data and user reports. However, this search function does not draw content and information from the internet, but from equipment manuals, quality data, internal fault reports and planning documents it was previously trained on. To keep the data management system up to date, it is regularly fed with new knowledge – for example, in the form of daily-updated shift-log data.

By integrating a Large Language Model, similar to those used in chatbots like ChatGPT and Gemini, Factory Genius is also able to understand language: The software can search data for relevant content within the appropriate linguistic context, providing more accurate results than a conventional search engine. In addition to displaying the top matches with links to sources, the assistant can also summarise the maintenance instructions found through contextual search in just a few sentences, if preferred. The user can then ask questions in a chat.

Collaborative in-house development

A pilot project in the body shop at BMW Group Plant Dingolfing laid the groundwork for this in-house development. Alongside the tool developed in Dingolfing in spring 2024, other BMW Group locations, including the plants in Spartanburg, USA, and Rosslyn, South Africa, were working at the same time on similar solutions through a transparent process. All were pursuing the same goal: improving access to information when faults occur or during scheduled training and maintenance. AI experts at the company’s Munich headquarters consolidated this expertise, integrating the plants’ diverse requirements to create a company-wide “best of” application. This can now be used globally in its initial development phase through an internal platform.

In addition to search and chat functionality, Factory Genius also features a translation function, enabling it to switch languages at any time to overcome language barriers. This functionality has proven extremely useful while building the new plant in Debrecen, Hungary, for example, since manuals are often not available in Hungarian.

Transferable methodology

The technology behind Factory Genius has the potential to be applied to other production use cases as well. The general approach enables integration of a wide range of documents and development of assistants tailored to different user groups. Thanks to its cloud functionality, the tool will also be rapidly available worldwide.

If you have any questions, please contact:

Julian Friedrich, BMW Group Plant Dingolfing, Head of Communications
Telephone: +49 8731 76 22020, Email: Julian.Friedrich@bmw.de

Benedikt Torka, BMW Group, Communications Production Network
Telephone: +49 89 382 32455, Email: Benedikt.Torka@bmwgroup.com

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Munich. Digitalization is one of the strategic top priorities for the BMW Group‘s Purchasing and Supplier Network. The BMW Group pursues a specific focus on generative artificial intelligence (GenAI) to increase the efficiency and long-term viability of the Purchasing and Supplier Network. That’s why the organization is accelerating its digital transformation, through developing innovative applications and strategic cooperation with the BMW Group’s IT hub in Romania.

“At the BMW Group, we consider AI to be more than just a technological innovation. We see it as a key element of the digital transformation,” emphasized Hendrik Lang, Senior Vice President Strategy, Digitalization and Sustainability, Purchasing and Supplier Network at BMW Group. “Empowering our people to use AI technologies is our top priority,” he added. A group-wide AI platform supports customized applications to optimize processes, increase efficiency and create innovative solutions. In these efforts, AI serves as a tool that completes certain tasks faster or automates subtasks, giving employees more freedom for creative and innovative thinking.

The BMW Group is building strategic AI expertise and developing specific AI applications for the Purchasing and Supplier Network at its IT hub in Romania. By the end of the year, the location will be home to a team of experts working on cutting-edge GenAI applications for internal processes worldwide. Founded in the thriving tech center of Cluj-Napoca in summer 2024 as a joint venture of the BMW Group and NTT DATA Romania, BMW TechWorks Romania is tasked with consistently expanding the BMW Group’s Europe-based software expertise according to long-term demands. BMW TechWorks Romania is closely integrated into the BMW Group’s global development and innovation landscape and benefits from Romania’s robust IT and software industry.

BMW Group Purchasing is actively driving forward the development and implementation of internal AI applications. The initial GenAI tools – including Knowledge Navigator, Offer Analyst and Tender Assistant – were introduced in Purchasing as early as 2024. These applications serve as central knowledge databases that assist in the analysis and comparison of supplier offers as well as tender creation and management. For example, Offer Analyst can perform repetitive tasks and significantly reduce the time required for each offer.

In late 2024, the BMW Group also introduced a central AI access point for the Purchasing and Supplier Network: the BMW Group’s AIconic agent system. This innovative AI solution transforms how teams search for and utilize information by combining cutting-edge natural language processing with intelligent algorithms. The multi-agent system ensures fast, precise data searches and customized processing results for individual users. Integrating different data sources guarantees comprehensive, targeted information retrieval that significantly outperforms previous search functions. With over 1,800 active users performing 10,000 searches, the AI solution has been exceptionally well-received in a short period of time, highlighting its value. “Our multi-agent system AIconic significantly increases employee efficiency and productivity while setting new standards for AI usage,” emphasized Markus Kronen, Head of GenAI in Purchasing and Supplier Network at the BMW Group.

The AIconic multi-agent system is continuously updated to meet the growing demands of the Purchasing and Supplier Network. A top priority is agentization, meaning AIconic will act not simply as a passive search tool but increasingly as a proactive one. The comprehensive agent system currently includes ten agents covering topics such as quality, purchasing and supplier data and purchasing process support. In the future, the application will perform certain tasks without human supervision, such as monitoring supply chain data, creating reports and identifying optimization potential. The next iteration will transform AIconic into an intelligent internal assistant that not only provides information, but also actively recommends actions and automates processes. To make the best use of AI solutions, the BMW Group provides digital training and special AI innovation spaces for employees at all levels. In doing so, employees acquire digital literacy and share their new skills throughout the organization. Clear governance provides a mandatory framework for training and implementing AI solutions, be it for internal applications or procuring external AI expertise.

AIconic is one of the first multi-agent use cases that the BMW Group has implemented on a central AI platform. It has been successfully established as a standard in the Purchasing division. The multi-agent system is based on the BMW Group AI Assistant, the central AI access point for the entire organization. As such, AIconic demonstrates how intelligent agent systems can be developed and deployed across the organization using the AI platform.

*The images displayed were generated using artificial intelligence.

If you have any questions, please contact:

Merete Wonneberger, Communications Purchasing and Supplier Network

Phone: +49-151-601-71430

Email: Merete.Wonneberger@bmwgroup.com

Florian Moser, Communications Purchasing and Supplier Network

Phone: +49-151-601-62847

Email: Florian.Moser@bmwgroup.com

Internet: https://newsroom.bmwgroup.com/global/en

Email: presse@bmwgroup.com