AI as your strategic ally: customer-centric portfolio decisions, powered by Artificial Intelligence

Munich, December 2023

Portfolio decisions have become increasingly complex as the pace of transformation in the automotive industry accelerates. Munich, December 2023


ortfolio decisions have become increasingly complex as the pace of transformation in the automotive industry accelerates. Driven by intensifying competition to meet customer demands ever more accurately, we expect this trend to continue for the foreseeable future.

A well-crafted portfolio strategy has never been more essential. Selecting the right products, services, and features that meet customer desires and needs is the key challenge in portfolio decision making, alongside managing risk, allocating resources, and maintaining agility. Could AI be the new standard for how portfolios can be managed more effectively? Think of AI as your most versatile team member, equipped for a variety of tasks. Much like a Swiss Army knife in the field of portfolio strategy. The only question is: how do you best use it?

Our approach offers a practical roadmap for using AI effectively. Not all pieces of the puzzle allowing usage of AI’s full potential are yet in place. However, the picture of how these pieces will fall into place is becoming increasingly clear. By integrating AI into portfolio strategy, a variety of benefits, such as time efficiency, deeper analytical insights, and easier scenario analyses, can be expected. The urgency to integrate AI into strategic planning cannot be emphasized enough. By doing so, not only present work and decision making can be improved, but also the groundwork for significantly greater benefits in the future is laid. Now is a crucial time to consider AI integration; those who act promptly are likely to be better positioned in an increasingly competitive market.

This article is the first in a series of articles exploring the potential of AI for portfolio strategy. As this technology is evolving fast, we look at AI with a dual lens: assessing what is already possible, and subsequently, identifying the next steps for leading automotive players towards (even more) customer-centric portfolios. In this context, this first article will focus primarily on the opportunities for automotive OEMs.

Artificial Intelligence (AI) is a broad field of computer science dedicated to developing systems capable of performing tasks that normally require human intelligence; for example, solving problems, recognizing patterns, and understanding natural language.

Large Language Models (LLMs), such as the latest GPT models, are advanced AI models trained on vast datasets and designed to understand, process, and generate human-like text based on the context provided. LLMs have revolutionized the way we interact with AI systems and bear great potential for applications like customer segmentation and – when done right – can even support strategy work.


Unleashing AI’s potential for customer-centric portfolio decision making:

The transformative power of AI for customer and portfolio strategy lays in the ability to inform human decision making. If complemented by a robust framework and accurate data, AI has the potential to enhance customer understanding and increase the speed of analysis in portfolio decision-making. This can lead to greater cost-efficiency compared to traditional data science methods such as advanced analytics or big data. By harnessing vast amounts of structured and unstructured data from different sources, such as customer demographics, purchasing behaviour, vehicle usage, and online interactions, AI can unlock nuanced insights about customer preferences and behaviour enabling a dynamic, real-world understanding of customers. From the discerned patterns, AI can then offer a glimpse into the future, fundamentally informing human decision-making. This granular understanding empowers automotive companies to refine their portfolio strategy with timely insights and tailor their products and services in a way that resonates with customer preferences fostering competitiveness as well as strategic, sustainable growth.

We believe that harnessing the potential of AI for portfolio strategy offers distinct key benefits for OEMs:

Malte Broxtermann


Timo Krall

Project Manager

Philipp Brandner


Claudius Feldmann

Thesis Student

Benefit 1

1. Dynamic customer understanding & sensing tomorrow’s landscape:

The utilization of AI as a tool for dynamic understanding of customers and market prediction can be a strategic advantage for OEMs. AI can provide timely updates on customer behaviors and needs as required, coupled with detailed segment and persona analysis. This allows automotive companies to gain comprehensive insights into their target audience's preferences and anticipate shifting demands. Through pattern identification AI can anticipate emerging market changes before they fully emerge. By this proactive detection of trends, risks, and opportunities as they emerge, OEMs are better equipped to make more effective decisions in an industry that is more dynamic than ever before.

Benefit 2
2. Aligning strategy with real-world insights:

In today’s rapidly evolving market, aligning strategy with real-world insights is crucial, and AI can play a pivotal role in this process. By comparing strategic concepts with a wealth of internal and external data, AI performs well in scenario recognition. It detects inconsistencies effectively and allows the refinement of strategies to ensure they align more closely with actual market conditions. With actionable insights, these strategies are not only robust on paper but also practical in real-world conditions.
Benefit 3

3. Empowering decision-making through human-AI synergy:
Consider AI as the perfect partner for complex analysis. When humans and AI collaborate, decision-making is supercharged. While humans bring empathy, ethical considerations, and intricate practical understanding to the table, AI ensures precision, speed, and vast data handling. Together, this partnership takes decision-making to the next level, combining the depth of human intuition with the efficiency and analytical capabilities of AI.

After exploring the key benefits and understanding the significant impact of AI, we recognize that the automotive industry is on the threshold of a new era. This leads us to these key questions:

“How do we transition from recognizing these advantages to implementing them in tangible, actionable strategies for portfolio management? How can OEMs leverage AI to not only understand but also anticipate the dynamic demands of the market?”

Operationalizing AI insights: A strategic approach to portfolio management

A clear roadmap is essential to harness the AI benefits and close the gap between AI’s potential and its practical application in portfolio management. This is where we, at Berylls, step in. As agents of operationalization, our goal is to transform abstract concepts into tangible, actionable strategies.

Our approach follows five clear steps for portfolio strategy development:

A) It begins with summarizing existing relevant aspects of corporate, functional, and business unit strategies into key statements, forming a comprehensive understanding of the strategic landscape. Where feasible, key statements are also quantified to enable more meaningful data-based analysis.

B) This is followed by a detailed analysis of the portfolio environment, which is crucial for understanding the stakeholder landscape and market trends. This analysis especially highlights the significant role of understanding customers and competitors to ensure a thorough evaluation of latest leading portfolio strategies and best practices. There is no one-size-fits-all solution, and we pay close attention to what makes a portfolio work (or fail) depending on each specific company and its target customers.

C) We then conduct a comprehensive review of the current internal portfolio in question, analyzing its composition, performance, and enablers.

D) These initial steps lay the foundation for the subsequent phases, where we identify and evaluate potential improvements to the portfolio, focusing on portfolio gaps, key levers, and scenarios for enhancement.

E) Finally, the analysis concludes with defining or updating the portfolio strategy, the setting of specific objectives, and the development of a detailed implementation roadmap.

This approach is optimized for AI integration with the first three steps (A-C) providing the relevant input for AI-supported decision making and the last two steps (D-E) involving AI to analyze all available information effectively.

Figure 1: Berylls framework for portfolio strategy

Source: Berylls Strategy Advisors

The integration of AI into portfolio strategy development represents a significant improvement. Already in the initial stages where qualitative and quantitative data is made accessible for AI, it can play a key role in improving the speed, cost efficiency and quality of strategic decision making. In later steps, AI supports in identifying data patterns, pinpointing missing data points, suggesting portfolio improvements, and preparing meetings by decision makers effectively. Moreover, this integration of AI enables a more dynamic, agile, and efficient iteration of the entire process that closely aligns with evolving market needs.

Figure 2: Berylls framework for AI-enabled portfolio strategy

Source: Berylls Strategy Advisors

An example ChatGPT case illustrating the framework can be found by clicking on this box

Output generated by current LLMs should never be used without diligent review and confidential data must not be submitted to ChatGPT. The example ChatGPT output above was created based on dummy data for a hypothetical company. This output was left completely unchanged by Berylls to help provide a realistic example of the type of quality that is feasible with the latest generation of LLMs. Replicating similar results for real applications requires access to the latest generation of LLMs that guarantees full data security. A real-world project covers drastically more inputs, analytical steps, and output than is included in the simplified example case.

An example ChatGPT case illustrating the framework can be found by clicking on this box

Output generated by current LLMs should never be used without diligent review and confidential data must not be submitted to ChatGPT. The example ChatGPT output above was created based on dummy data for a hypothetical company. This output was left completely unchanged by Berylls to help provide a realistic example of the type of quality that is feasible with the latest generation of LLMs. Replicating similar results for real applications requires access to the latest generation of LLMs that guarantees full data security. A real-world project covers drastically more inputs, analytical steps, and output than is included in the simplified example case.

Using AI to take smarter portfolio decisions by putting the customer front-and-center:

AI can demonstrate significant advantages over traditional analyzing methods. AI’s speed and adaptability enable quicker decisions, eliminate human biases, reduce manual research, and efficiently process large datasets for precise market alignment and feedback analysis. Correctly providing relevant input and gradually refining the prompts provided to AI does require expertise and AI currently cannot (and in our assessment: should not) replace human decision making in matters of strategic importance. Latest AI models, nevertheless, can be applied to accelerate analysis and help human experts take more informed and well-prepared decisions. Remarkably, an analysis as outlined in the example case linked above can be replicated in minutes, assuming an AI model comparable to the latest version used by ChatGPT has access to all essential data in a way that ensures data security. While the case linked above is hypothetical, AI indeed can create significant value once it has access to an organization’s real-world data and strategies. Berylls invites you to start working towards unlocking the full potential of AI to achieve a deep, data-driven understanding of customer behaviors, preferences, and expectations.

Engage several powerful AI flywheels and lay the foundation for success by embracing the following enablers:
1. Redefine data for AI

Quality data is the backbone of meaningful AI insights. Ensure your data is well-structured, high-quality, meaningful, and thus prepared to enable accurate results.

2. Forge AI-ready strategies

Condense your core business strategies into written key statements to make them AI-readable. This allows AI to analyze data and generate insights with your strategy in mind.

3. Human-AI decision synergy

Use AI to support your decision-making process, ensuring faster responses to dynamic market demands. Combining the strengths of human intuition with AI’s analytical capabilities creates a powerful duo, maximizing both precision and efficiency.

4. Tailor your AI approach

Different needs require different solutions. Whether it's leveraging AI for specific tasks or a more comprehensive AI-driven strategy, aligning the technology with individual organizational goals and capabilities is crucial.

Engage several powerful AI flywheels and lay the foundation for success by embracing the following enablers:

1. Redefine Data for AI

Quality data is the backbone of meaningful AI insights. Ensure your data is well-structured, high-quality, meaningful, and thus prepared to enable accurate results.

2. Forge AI-ready strategies

Condense your core business strategies into written key statements to make them AI-readable. This allows AI to analyze data and generate insights with your strategy in mind.

3. Human-AI decision synergy

Use AI to support your decision-making process, ensuring faster responses to dynamic market demands. Combining the strengths of human intuition with AI’s analytical capabilities creates a powerful duo, maximizing both precision and efficiency.

4. Tailor your AI approach

Different needs require different solutions. Whether it's leveraging AI for specific tasks or a more comprehensive AI-driven strategy, aligning the technology with individual organizational goals and capabilities is crucial.

We expect a broad spectrum of relevant use cases for applying AI to portfolio strategy. The role of AI can range from fundamental applications in stakeholder analysis to more complex scenarios in business case preparation and continuous improvement. Each use case demonstrates a specific aspect of AI’s contribution to portfolio strategy and has unique requirements for successful implementation. Different use cases can be rolled out sequentially, gradually creating more value with AI over time.

Four types of portfolio strategy use cases for AI

Low Complexity
Low Output

High Complexity
High Output

Use case I: stakeholder analysis

LLMs enable detailed profiling and analysis of customers, competitors, and other key stakeholders. Profiles can also cover the portfolios and best practices by key competitors. LLMs can provide frequent, cost-effective updates based on AI-assisted research, competitor monitoring, and customer data analysis. This speed and breadth of analysis helps improving the understanding of market expectations, behaviors, and dynamics.

Main requirements:

- Introduce LLM integration: Provide access to a Large Language Model (LLM) like ChatGPT for analyzing anonymized stakeholder data.

- Establish customer data platform: Develop a platform to manage and analyze customer data across relevant data sources, ensuring it is structured and AI-ready.

- Ensure data updates: Implement a system for continuous updating of stakeholder data to keep the analysis relevant.

Use case II: Identification of decision option

AI aids in broadening decision options for portfolio adjustments. It helps in generating new ideas for portfolio changes by using pattern recognition in the available data to identify potential opportunities and optimize strategic choices. Specifically, AI can help identify untapped potential by highlighting discrepancies of the current portfolio with available customer insights, market trends and best practices by comparable competitors.

Main requirements:

- Ensure available strategies are AI-readable: Turn the relevant aspects of current strategies into AI-readable (quantified) key statements.

- Integrate results of stakeholder analysis: Grant AI access to all relevant analysis of the impact and interests of various key stakeholders, especially by customers and competitors. This should include a thorough review of competitor portfolio best practices and strategies with clear assessments of the company-specifics that make each competitor succeed (or fail).

- Describe portfolio for AI Analysis: Submit a comprehensive documentation of the current product and service portfolio, the portfolio performance, and any relevant information about company-specific portfolio enablers. The information about enablers should include the main resources allocated across the portfolio as well as key competitive strengths (or weaknesses). Examples for relevant competitive attributes would be information about the sales and manufacturing model used, describing (e.g.) the resulting supported production speed, variety, flexibility, and cost-efficiency

Use case III: Assessment of decision options

Latest generation LLMs can assist in qualitative comparison of decision alternatives, for example by suggesting (dis)advantages for each available decision. For quantitative decisions, they can also support in preparing business cases. At the current technological level of LLMs, business cases are mainly manually crafted, with LLMs offering suggestions that require in-depth expert review for accuracy. Over time and as LLMs evolve, their suggestions become more reliable, allowing them to draft business cases based on company data. This evolution will gradually shift the human role towards systematically refining these AI-generated suggestions, leading to more complex and accurate business cases that account for scenarios involving competitor responses, thus enhancing strategic decision-making

Main requirements:

- Integrate results of stakeholder and decision option analysis: Inform the AI about the final set of decision alternatives and the related scenario assumptions. This will be the starting point for the business case. In addition, provide input to the AI with any relevant findings from the stakeholder analysis such as identified customer preferences. This information, for example, can help the AI to suggest meaningful parameters and assumptions for the business case.

- Provide access to operational and financial data: Both internal and market-related operational and financial data must be accessible for a comprehensive AI analysis. Where available, validated forecast data will improve the accuracy of the analysis.

- Involve industry experts: From start to finish, AI prompts should be engineered by industry experts to ensure relevant and accurate AI outputs.

Use case IV: Continuous improvement

AI supports the ongoing refinement of a portfolio strategy. It quickly identifies opportunities for action based on current data and ensures that the portfolio remains aligned with market trends and customer preferences, leading to continuous improvement and strategic agility.

Main requirements:

- Establish regular data updates: Ensure AI analyses are based on most current information.

- Implement feedback mechanisms: Integrate customer feedback and performance data into ongoing AI analysis.

- Develop a dynamic strategy adaption process: Allow regular strategy refinements based on AI insights.

Leveraging AI for your company… but different

The potential of AI to drastically change the way strategy work is done grows rapidly. Berylls stands ready to help you transform successfully and in a way that is uniquely centered around your customers, company, situation, and aspirations. Stepping into the AI realm can be complex; however, having a dedicated partner ensures that you harness its full potential efficiently and strategically. Berylls provides a tailored way to make AI work best for your needs, from initial assessment to final implementation. Backed by a team of experts and collaboration partners with custom software solutions at the forefront of AI advancements. Embrace the AI-driven future of automotive customer strategy and gain the AI advantage with us. The automotive industry faces a time of accelerating change, and those who can sense and adapt to these changes first as AI matures will have the upper hand.

Malte Broxtermann

Malte Broxtermann (1986) joined the Berylls team in 2014. After extensive experience as emergency medical technician, he has been working in consulting since 2012. He helps customer to leverage digital strategies & products across the entire automotive value chain. He is an expert in deploying machine learning-powered applications. As Partner at Berylls’ own unit for digital solutions, Berylls Digital Ventures, he focuses on scaling start-ups as part of our venturing practice.
Studied economics and international business at Maastricht University (Netherlands) and Queen’s University (Canada).

Pressemitteilung: Berylls Strategy Advisors und Rechtsexperten von Synthetic Law gehen strategische Partnerschaft ein

München, November 2023


München, November 2023


  • Kombination von Expertise in der Mobilitätsbranche mit hochaktuellem juristischem Fachwissen
  • Zukunft der Mobilität wirft komplexe juristische Herausforderungen auf, Synthetic Law ist in diesem Bereich bestens aufgestellt und idealer Partner für Berylls
  • Noch bessere Unterstützung der Berylls Kunden bei Datenschutz, Compliance und Data-Governance
  • Berylls wappnet sich und damit seine Kunden für künftige rechtliche Auswirkungen, die durch anstehende Datenschutzvorschriften und verschärfte Cybersicherheitsanforderungen entstehen

Jetzt die gesamte Pressemitteilung herunterladen!

Berylls Pressemitteilung
Pressemitteilung: Berylls Strategy Advisors und Rechtsexperten von Synthetic Law gehen strategische Partnerschaft ein
Christian Kaiser

Christian Kaiser (1978) is partner and Head of IT at Berylls Group with focus on software and connectivity. He began his career with Daimler AG in 1997. He brings 26 years of industry and consulting experience in the automotive industry serving in various executive roles at OEMs and software companies.

At Berylls, his area of expertise is software development & architecture, digital business models, digital operating models and ADAS/AD.

Five battles you must win as an OEM to master Pricing & Revenue Management

Munich, October 2023

Five battles you must win as an OEM to master Pricing & Revenue Management Munich, October 2023


he transformation of the automotive industry is in full swing, encompassing both upstream and downstream aspects on national and international scales.

To paint a clear picture of this evolution, various aspects of the automotive sector are being reshaped. New strengths are being cultivated, weaknesses are being addressed.

A critical aspect deserving focused attention is „Pricing and Revenue Management.“

Fig 1: Pricing as the Ultimate Profit Lever

Source: Berylls Strategy Advisors

Pricing stands as the most potent lever for increasing profitability within the automotive sector. Consequently, it should take center stage for all Original Equipment Manufacturers (OEMs). However, it’s essential to recognize that Revenue Management extends beyond Pricing. It involves a strategic business practice adopted by companies to maximize their revenue and profitability through the optimization of product or service pricing. This discipline entails the application of diverse pricing strategies, data analysis, and forecasting techniques to make informed decisions about price setting, resource allocation, and capacity management. The primary components are depicted in the chart below. Pricing emerges as the most significant lever for enhancing profitability, making it of utmost importance for top management.

Fig 2: Revenue Management Encompasses Multifaceted Strategies

Source: Berylls Strategy Advisors

With a number of years of experience across various industries, it is evident that the automotive sector can glean valuable insights and techniques in Pricing and Revenue Management from sectors such as Fast-Moving Consumer Goods (FMCG), software, and industrial fields. Currently, many OEMs are still focusing a lot on factory utilization. This can result in cars being sold with higher discounts, because production and demand are not matching good enough. Many changes occurring in the automotive industry mirror transformations witnessed by other industries in recent years:

  • From Product to Product-Service-Software Combinations: The significance of services and software is growing, necessitating different pricing structures, and enabling novel approaches such as „as-a-service.“

  • From Single- to Omnichannel: Vehicles, services, and software will be sold through an expanding array of channels, including direct and indirect, electronic, and physical, and owned or third-party channels. Decisions regarding what to sell through which channel to which customer segment at what price are becoming more intricate and, thus, more strategically crucial.

  • From Product to Customer Focus: OEMs are increasingly striving to better comprehend their customers (their journey, value drivers, willingness to pay, etc.). This understanding provides a solid foundation for more differentiated pricing, better exploitation of specific customer segments‘ willingness to pay, and catering to individual demands for products and services.

  • From Gut Feeling to Data-Based: Modern Revenue Management can be approached much more professionally using data and AI-based methods.


Considering these ongoing transformations, now is the ideal time to formulate and implement a 3-5-year development plan to fortify the Pricing & Revenue Management capabilities.

Best practices from Other Industries

Before delving into the specific must-win-battles (MWBs) for Pricing & Revenue Management in the automotive sector, let’s explore some best practices from other industries:

  • Marriott International: Renowned for its revenue management strategies in the hospitality industry, Marriott employs sophisticated pricing algorithms and data analytics to dynamically adjust room rates based on demand, seasonality, and other factors. This optimization maximizes revenue and occupancy rates across its global portfolio of hotels.

  • Amazon: As one of the world’s largest e-commerce companies, Amazon excels in revenue management through its advanced pricing strategies. They leverage extensive customer data to dynamically adjust prices on their marketplace, optimizing in real-time while considering factors such as competitor pricing, demand, and customer behavior.

  • Walt Disney Parks and Resorts: Disney meticulously practices revenue management within its theme parks. They employ various pricing strategies, including seasonal pricing, tiered ticketing, and add-on experiences, to optimize revenue and manage crowd levels effectively.

  • Ferrero: With its diverse brands and sales channels, Ferrero has implemented professional Revenue Management on a global scale. Based on a clear governance, well-defined playbooks and extensive data utilization, Ferrero has achieved significant profitability gains.

Initial Conclusions

Considering these examples, let’s draw some initial conclusions:

1. Pricing & Revenue Management serves as the most substantial profit lever.

2. When benchmarked against other industries, there is ample room for improvement in automotive OEMs.

3. The ongoing developments within the automotive industry underscore the rising importance of Pricing & Revenue Management.

Consequently, we strongly advocate a concentrated focus on Pricing & Revenue Management, with particular emphasis on the following 5 must-win-battles (MWBs):

MWB 1 – Establish a Clear Pricing & Revenue Management Strategy

A robust strategy is fundamental to success, and this holds true for Pricing & Revenue Management. Given the complexity of the automotive environment, the strategy must provide detailed answers to critical strategic questions. These include prioritizing revenue over profitability (or vice versa?), setting objectives for each Strategic Business Unit (SBU), defining target customers, understanding their value drivers and willingness to pay, positioning prices, determining channel strategies for different customer segments, and specifying pricing methods.

Developing a Pricing & Revenue Management strategy for an automotive OEM is a comprehensive exercise that necessitates in-depth insights into and transparency about markets, customers, channels, and offerings, both internally and externally. Of course, it must be mentioned that OEMs are not starting from scratch but have already developed elements or even entire Pricing & Revenue Management strategies.

MWB 2 – Implement a Target Operating Model for Pricing & Revenue Management

Determining the organizational structure of Pricing & Revenue Management is crucial. It’s essential to decide whether the team should be centralized, decentralized, or a hybrid model. This decision should align with the overall strategy and objectives of Pricing & Revenue Management. As always, there´s not THE one solution that is always right:

  • Apple and Skype are having centralized pricing teams because they have strong global brands and high price transparency.*

  • Porsche and Michelin use a split responsibility to foster a high degree of standardization on the one hand side. At the same time, local input e.g., to differentiate local willingness to pay must be considered.*

  • At 3M and Celesio, the Pricing teams are largely decentral with responsibility for a BU or region. This makes sense because markets are heterogeneous with different regulatory requirements for example.*

*Please note that this may not correspond to the current status of the companies.

In addition to structure, harmonizing global Pricing & Revenue Management processes is crucial for automation through digitization. Technology and human resources are integral components of the Target Operating Model. As the era of direct sales is coming closer, this of particular importance, as from than on, the final pricing responsibility stays with the OEM.

MWB 3 – Understand Customer Willingness to Pay and Set Prices Accordingly

A central tenet of Pricing & Revenue Management is understanding customers and aligning strategies accordingly. Effective Pricing & Revenue Management involves precise tools and concepts, with price differentiation being a significant component. Many companies successfully charge different prices to different customer segments for the same product or service, based on willingness to pay. Other industries are already successfully doing this as we speak: Just consider the practice that hotels and airlines are applying very successfully since many years. Amazon is changing the price for certain products up to 40 times a day, based on demand, competitor prices etc. Big insurance companies offer their insurance products at differentiated prices to different customers. Automotive has made recent experience with changing willingness to pay during the time of product shortages. Customers that are used to negotiating prices with their dealer where suddenly ready to even pay way above list price as for example visible in the United States. As product shortages are more and more dissolving now, the old pattern of price negotiation is coming back. A lot more examples of price differentiation exist.

To achieve this successfully, OEMs must understand the willingness to pay of their target customer segments, employing various reliable techniques for this purpose. This not only boosts profitability but also enhances revenue. And always remember that a 1% price increase already leads to a 7% increase in profitability.

MWB 4 – Establish Transparency in Pricing & Revenue Management Performance

Effective Performance Management hinges on knowing the right performance metrics, measuring, and reporting them accurately, and having sound performance management processes in place. Performance metrics vary based on business models, and achieving granularity across different business, customer, and product segments is often necessary. When list prices exist and discounts and rebates can be granted, you might want to use “price enforcement” as one top KPI. When you are for example in an online business, where prices are set by an AI-algorithm, a suitable KPI can be “realized price improvement”, measuring the price increase over a certain period. To add even more quality, “realized price improvement” can be measured against a market price index or internal objectives. The price waterfall can be a good input to discuss suitable KPIs. For OEMs on their way to the direct sales mode, managing price enforcement will be one of the key capabilities to be built to ensure profitability targets are met.

Fig 3: Price waterfall as food-for-thoughts about pricing KPIs.

Source: Berylls Strategy Advisors

Performance metrics should align with the pricing strategy and objectives, and data should be made available in suitable reports, despite the challenges of legacy IT systems and data quality.

MWB 5 – Leverage Data and AI to Optimize Pricing & Revenue Management

Data and AI offer tremendous potential for enhancing Pricing & Revenue Management. Using AI, OEMs can optimize various facets of Revenue Management simultaneously, which is challenging with conventional methods. Additionally, understanding customer behavior and preferences from data can guide pricing strategies and offerings. However, successfully scaling AI projects in Pricing & Revenue Management requires investment in relevant data, systems, and expertise, as data quality and system readiness are often limiting factors.


In conclusion, while automotive OEMs may not be considered Pricing & Revenue Management benchmarks compared to other industries, the changing landscape demands attention. We recommend that OEMs assess their current maturity level in Pricing & Revenue Management and chart a strategic roadmap, centered around these 5 must-win-battles outlined in this paper. With the Berylls Pricing Pathfinder we combine our Pricing & Revenue Management expertise with a powerful tool to reveal what Pricing & Revenue Management excellence looks like, and how to get there.

Thorsten Lips


Thorsten Lips

Thorsten Lips (1972) is a partner at Berylls Strategy Advisors. He began his career as a management consultant at PricewaterhouseCoopers Düsseldorf in 1998. After spending six years at Malik Management Centre in St. Gallen, Switzerland, he took the cross-industry, global responsibility for Pricing, Sales, Service and Marketing as a partner at Horváth. At Berylls, his area of expertise is Pricing & Revenue Management. This encompasses classical topics like new- and used-car pricing, aftersales pricing and the like. In addition, he is an expert in innovative Pricing and Revenue Management approaches for digital products and services as well as in the field of data-driven Pricing.

Industrial engineering and management studies at the Technical University of Ilmenau and the Technical University of Darmstadt.

Ein Elektrofahrzeug ist wesentlich einfacher zu bauen als ein Verbrennungsfahrzeug

München, September 2023

Interview - Software wird das treibende Element dieser Branche

München, Juli 2023

Nach der diesjährigen IAA ist klar: „Wir befinden uns in einem gesättigten Markt, nur das Elektrosegment wächst. Daher ergibt es Sinn, die vergleichbaren, elektrischen, Fahrzeuge für die Kunden zur Verfügung zu stellen. Das Problem der über 300 (!) Herstellen von Elektroautos alleine in China ist: Die meisten sind nicht nur bei uns vollkommen unbekannt.“

Auch dadurch dass die Produktion einfacher ist, als bei einem Verbrenner, versuchen unzählige Marken weltweit sich einen Namen zu machen. Ein Problem – auch für Anleger, die mit einem „zweiten Tesla“ den Lucky Punch suchen. Könnte ein ETF auf den WisdomTree Global Automotive Innovators Index helfen?

Hier gehts zum Podcast

Dr. Jan Burgard

CEO Berylls Group

Dr. Jan Burgard

Dr. Jan Burgard (1973) ist CEO der Berylls Group, einer internationalen und auf die Automobilitätsindustrie spezialisierten Unternehmensgruppe.
Sein Aufgabengebiet umfasst die Transformation von Luxus- und Premiumherstellern, mit besonderen Schwerpunkten auf Digitalisierung, Big Data, Start-ups, Connectivity und künstliche Intelligenz. Dr. Jan Burgard verantwortet bei Berylls außerdem die Umsetzung digitaler Produkte und ist ausgewiesener Spezialist für den Markt China.
Dr. Jan Burgard begann seine Karriere bei der Investmentbank MAN GROUP in New York. Die Leidenschaft für die Automobilitätsindustrie entwickelte er während Zwischenstopps bei einer amerikanischen Beratung und als Manager eines deutschen Premiumherstellers.
Im Oktober 2011 komplettierte er die Gründungspartner von Berylls Strategy Advisors. Die Top-Management-Beratung ist die Basis der heutigen Group und weiterhin der fachliche Nukleus aller Einheiten.
An das Studium der Betriebs- und Volkswirtschaftslehre, schloss sich die Promotion über virtuelle Produktentwicklung in der Automobilindustrie an.

TOP 100-Zuliefererstudie 2023

Munich, August 2023

TOP 100-Zuliefererstudie 2023

Munich, August 2023

ie Zuliefererindustrie 2022 war geprägt von Sonderfaktoren wie dem Krieg in der Ukraine, steigender Inflation und weiterhin hohen Rohstoffpreisen.

Obwohl 95 der Top 100 Zulieferer im Geschäftsjahr 2022 steigende Umsätze verzeichnen, schrumpft die Profitabilität bei mehr als der Hälfe. Nach einem Gesamtumsatz von 899 Milliarden Euro in 2021 steigerten die Top 100 dieses Resultat um 18,3 Prozent auf 1.064 Milliarden Euro und durchbrechen damit erstmals die Schallmauer von einer Billion Euro Umsatz. 

Der Beitrag der chinesischen Zulieferer an der internationalen Umsatzentwicklung steigt stetig. Im Jahr 2018 lag er noch bei fünf Prozent, 2022 können die Chinesen bereits einen neunprozentigen Anteil für sich verbuchen. Der Zuwachs geht zu Lasten der deutschen und japanischen Zulieferer. Deutschland war am Gesamtumsatz 2018 mit stolzen 23 Prozent beteiligt, Japan steuerte 28 Prozent bei. Beide Nationen verzeichnen seither schmerzhafte Rückgänge. Die deutschen Zulieferer tragen nur noch 21 Prozent zum globalen Gesamtumsatz der Branche bei, die Japaner 22 Prozent. 

Dass 2022 ein gemischtes Jahr für die Branche war, zeigt sich auch darin, dass trotz starkem Umsatzwachstum die durchschnittliche Profitabilität von 6,3 Prozent auf 5,6 Prozent gefallen ist. Höhere Materialkosten, Unruhen in den Lieferketten und gestiegene Energiekosten werden voraussichtlich auch noch bis in das nächste Jahr reichen. Auf der anderen Seite sind Halbleiterhersteller die klaren Gewinner. Die drei profitabelsten Unternehmen sind in diesem Jahr allesamt in dieser Branche tätig. Und: Auch 2022 gab die allgegenwärtige Elektromobilität die Richtung vor.

Aber sehen Sie selbst!

Weitere Informationen zur jährlichen TOP 100-Zuliefererstudie finden Sie unter

Berylls Insight
Die TOP 100-Zuliefererstudie 2023
Dr. Alexander Timmer


Dr. Jan Dannenberg

Executive Partner

Dr. Jürgen Simon

Associate Partner

Dr. Alexander Timmer

Dr. Alexander Timmer (1981) ist seit Mai 2021 als Partner bei der Berylls Group tätig, einer internationalen und auf die Automobilitätsindustrie spezialisierten Strategieberatung. Er ist Experte für Innovations- und Markteintrittsstrategien und kann auf eine langjährige Erfahrung im Operations-Umfeld zurückschauen.

Dr. Alexander Timmer berät seit 2012 Automobilhersteller und -zulieferer im globalen Kontext. Er verfügt über ein fundiertes Expertenwissen in den Bereichen Portfolioplanung, Entwicklung und Produktion. Zu seinen weiteren fachlichen Schwerpunkten zählen unter anderem Digitalisierung und der Themenkomplex rund um die Elektromobilität.

Vor seinem Einstieg bei Berylls Strategy Advisors war er unter anderem für Booz & Company und PwC Strategy& als Mitglied der Geschäftsführung in Nordamerika, Asien und Europa tätig.

Im Anschluss an sein Maschinenbaustudium an der RWTH Aachen und der Chalmers University in Göteborg promovierte er im Bereich der Fertigungstechnologien am Werkzeugmaschinenlabor der RWTH Aachen.

Dr. Jan Dannenberg

Dr. Jan Dannenberg (1962) ist seit 1990 Berater der Automobilindustrie und seit Mai 2011 Gründungspartner bei Berylls Strategy Advisors. Bis zum Frühjahr 2011 war er acht Jahre international als Partner – davon fünf Jahre als Associate Partner – für Mercer Management Consulting und Oliver Wyman tätig. Er ist ausgewiesener Spezialist für Innovationen und Markenmanagement in der Automobilindustrie und berät im Schwerpunkt Zulieferer und Investoren zu Strategie, Mergers & Acquisitions und Performance Improvement. Zudem ist er Geschäftsführer von Berylls Equity Partners, eine auf Mobilitätsunternehmen spezialisierte Beteiligungsgesellschaft.

Bachelor of Arts in Volkswirtschaftslehre von der Stanford University, Studium der Betriebswirtschaftslehre und Promotion an der Universität Bamberg.

Dr. Jürgen Simon

Dr. Jürgen Simon (1986) ist als Principal bei der Berylls Group tätig, einer internationalen und auf die Automobilitätsindustrie spezialisierten Strategieberatung. Er ist Experte für Vertriebs- und Unternehmensstrategien sowie M&A und kann auf eine langjährige Beratungserfahrung zurückschauen. Er berät seit 2011 Automobilhersteller und -zulieferer und verfügt über fundiertes Expertenwissen in den Bereichen ganzheitliche Strategieentwicklung, Geschäftsmodelle und Commercial Due Diligence. Weitere Schwerpunkte liegen in Markteintrittsstrategien sowie Themen rund um das „Software Defined Vehicle“. Als diplomierter Ökonom der Universität Hohenheim hat er vor seinem Einstieg bei Berylls am Institut für Unternehmensführung des Karlsruher Instituts für Technologie (KIT) promoviert.

E-Mobilität und Zulieferer – ist ein optimistischer Blick in die Zukunft angebracht?

München, August 2023

E-Mobilität und Zulieferer – Ist ein optimistischer Blick in die Zukunft angebracht? München, August 2023


ass E-Mobilität kommt, daran gibt es in den meisten regionalen Märkten inzwischen kaum mehr Zweifel. Eher im Gegenteil: die Geschwindigkeit, mit der batterieelektrische Fahrzeuge auf den Markt gebracht werden, lag in den vergangenen Jahren regelmäßig deutlich über den Erwartungen und spiegelte sich auch in jährlich angehobenen Prognosen für die nachfolgenden Jahre wider.

Durch die rasant steigenden Zulassungszahlen für Elektrofahrzeuge steigt die vermeintliche Attraktivität des Marktes für Komponenten von Elektrofahrzeugen und damit auch der Druck für Zulieferer, in diesem Markt Fuß zu fassen.

Zulieferer blicken optimistisch in die elektrische Zukunft

Werden Top-Manager aus der Zulieferindustrie (Berylls Supplier Executive E-Mobility Survey 2023) gefragt, wie sehr sie heute und in fünf Jahren vom Verbrenner abhängig sind, so zeigt sich, dass mehr als 70 Prozent der befragten Unternehmen heute noch zu über einem Viertel ihres Umsatzes vom Verbrenner abhängen. Voraussichtlich sind es in fünf Jahren nur noch ­51 Prozent. Dies verdeutlicht zum einen die gewaltige Transformation, in der sich die Zuliefererindustrie derzeit befindet und zum anderen, dass das Geschäftsmodell vieler Zulieferer bis Ende des Jahrzehnts noch an den Verbrennungsmotor gebunden sein wird.

Abhängigkeit vom Verbrenner
(in % des Gesamtumsatzes)

Quelle: Berylls Supplier Executive E-Mobility Survey 2023

Eine große Mehrheit der befragten Manager betrachtet die Elektromobilität als Chance für das jeweilige Unternehmen (77 Prozent). Einer von zehn Befragten sieht mehr Risiken als Chancen durch den Wandel zur Elektromobilität (9 Prozent).

E-Mobiltät als Risiko oder Chance
(in % der Befragten)

Quelle: Berylls Supplier Executive E-Mobility Survey 2023

So ist es auch nicht verwunderlich, dass drei Viertel der Befragten (75 Prozent) einen positiven Einfluss auf die Umsätze in den nächsten fünf bis zehn Jahren erwarten und nur 13 Prozent von einem Rückgang der Margen – bedingt durch Elektromobilität – ausgehen.

Einfluss E-Mobilität auf künftiges Umsatzwachstum und Margen
(in % der Befragten)

Quelle: Berylls Supplier Executive E-Mobility Survey 2023

Schwierige Marktbedingungen für Zulieferer

Zulieferer blicken derzeit überaus optimistisch in die elektrische Zukunft. Dies ist insofern bemerkenswert, als dass sich heute für viele Zulieferer ein ganz anderes Bild für den Bereich E-Mobilität zeigt: niedrige oder oft auch negative Margen, eine hohe technologische Unsicherheit und ein großes finanzielles Risiko.

Nach wie vor sind die Volumina auf den Plattformen vergleichsweise niedrig. Die hohen Entwicklungskosten lassen sich demnach nur eingeschränkt auf die Volumina umlegen. Dabei spielen vor allem die kurzen Innovationszyklen eine entscheidende Rolle, denn der Fokus bei den OEMs liegt noch immer auf kurzfristig realisierbaren Effizienzsteigerungen und Kostenreduzierungen. Die Zulieferer müssen, um Schritt zu halten, folglich rasch neue Produktgenerationen auf den Markt bringen. Der Bedarf an qualifizierten Ingenieuren ist daher enorm – das Angebot, unter der Berücksichtigung von Fachkräftemangel und großem Wettbewerb aber unzureichend. Der Wettbewerb wird noch weiter zunehmen: Von neuen Wettbewerbern angelockt und durch steigende Volumina sowie die zunehmende Notwendigkeit, Rückgänge im verbrennerabhängigen Geschäft auszugleichen, oder schlicht, um sich als neuer Spieler in der Lieferantenlandschaft zu positionieren. In dieser Situation schlägt sich der Kostendruck der OEMs und der große Wettbewerb mit vielerorts „erkauften“ Projekten unweigerlich auch im Preisniveau wieder; dies kann für viele Komponenten angesichts der hohen Innovationsleistung und geringen Stückzahlen als zu gering bezeichnet werden. Daher ist es auch nicht weiter verwunderlich, dass die Geschäftsbereiche rund um E-Mobilität in vielen Fällen nicht nur unter dem eigenen Margenanspruch liegen, sondern vielfach in den negativen Bereich abgefallen sind. Dabei befinden sich die Zulieferer in einem gefährlichen Teufelskreis: Es braucht „mehr Geschäft“, um einerseits die Volumenbasis zu erhöhen und andererseits die eigene Marktposition zu stärken. Gleichzeitig bedeutet angesichts niedriger Preisniveaus „mehr Geschäft“ auch niedrigere Durchschnittsmargen und oftmals höhere Quersubventionierung aus anderen Geschäftsbereichen. Es ist absehbar, dass dies auf Dauer nicht gut gehen wird und es früher oder später zu Konsolidierungen kommen muss – entsprechende Marktbewegungen zeigen sich bereits.

Klare Strategie gefordert

Damit die optimistische Grundhaltung der Zulieferer zur E-Mobilität Realität werden kann, müssen sich die Zulieferer auf den technologischen Übergang zielgerichtet vorbereiten. So ist es in einer solchen Transformation elementar, dass die Zulieferer eine klare Strategie für die Aktivitäten rund um E-Mobilität haben. Diese muss nicht nur die langfristige Positionierung, sondern insbesondere die kurzfristigen Marktbedingungen berücksichtigen, mit allen Ressourcenbedarfen und Implikationen auf die Produktmargen. Diese Strategie muss auch insbesondere gezielte Volumensteigerungen (organisch oder anorganisch) beinhalten, um einerseits eine kritische Größe zu erreichen und andererseits die dringend notwendigen Skaleneffekte zu realisieren. Es ist hierbei wichtig, die Fähigkeiten zur Absicherung von Produktionsanläufen weiter auf- und auszubauen. Mit den steigenden Volumina und der Produktion einer immer neueren und zum Teil noch nicht voll ausgereiften Produktgeneration zum eigentlichen SOP (Start of Production) müssen alle Funktionsbereiche, von der Entwicklung bis zur Produktion perfekt ineinandergreifen. Des Weiteren gilt es, die begrenzten Ressourcen effektiv zu managen, denn die Skalierung erfordert in der Regel hohe Investitionen, sind neue Projekte doch oftmals gleichbedeutend mit neuen Werken oder zumindest neuen Linien. Nicht nur die Finanzierung muss abgesichert werden. Auch Fachkräfte und Technologieexperten sollten sorgsam aufgebaut werden, um sie langfristig an das Unternehmen zu binden.

Richtige Positionierung notwendig um Chance zu nutzen

Insgesamt zeigt sich, dass die E-Mobilität für Zulieferer eine Chance und eine Herausforderung zugleich darstellen kann. Obwohl die meisten Zulieferer noch immer stark vom Verbrennungsmotor abhängig sind, sind sie zuversichtlich, dass sich dies in den nächsten Jahren ändern wird. Allerdings haben viele Unternehmen mit niedrigen Margen und einem hohen Wettbewerbsdruck zu kämpfen. Um den Optimismus in die Tat umsetzen zu können, müssen die Zulieferer sich richtig positionieren und strategische Entscheidungen treffen, um ihre Marktstellung zu stärken und die Anforderungen zu erfüllen. Nur dann wird sich zeigen, ob der Optimismus gerechtfertigt ist.

Berylls Insight
E-Mobility Supplier Survey 2023
Dr. Jürgen Simon

Associate Partner

Dr. Jürgen Simon

Dr. Jürgen Simon (1986) ist als Principal bei der Berylls Group tätig, einer internationalen und auf die Automobilitätsindustrie spezialisierten Strategieberatung. Er ist Experte für Vertriebs- und Unternehmensstrategien sowie M&A und kann auf eine langjährige Beratungserfahrung zurückschauen. Er berät seit 2011 Automobilhersteller und -zulieferer und verfügt über fundiertes Expertenwissen in den Bereichen ganzheitliche Strategieentwicklung, Geschäftsmodelle und Commercial Due Diligence. Weitere Schwerpunkte liegen in Markteintrittsstrategien sowie Themen rund um das „Software Defined Vehicle“. Als diplomierter Ökonom der Universität Hohenheim hat er vor seinem Einstieg bei Berylls am Institut für Unternehmensführung des Karlsruher Instituts für Technologie (KIT) promoviert.

E-mobility and suppliers – Is an optimistic view of the future appropriate?

Munich, August 2023

E-mobility and suppliers – Is an optimistic view of the future appropriate? Munich, August 2023


-mobility is already here. The growth of the battery-electric vehicle market around the world has been well above expectations over the past few years, with forecasts of even higher growth to come. With soaring registration figures for electric vehicles, the market for E-mobility components looks ever-more attractive – but will headline market growth turn into long-term profitability for suppliers?

Durch die rasant steigenden Zulassungszahlen für Elektrofahrzeuge steigt die vermeintliche Attraktivität des Marktes für Komponenten von Elektrofahrzeugen und damit auch der Druck für Zulieferer, in diesem Markt Fuß zu fassen.

When we asked top managers from the supplier industry how dependent they are on combustion cars now and how that will change in five years’ time, 70% of those who responded said they are currently dependent on combustion cars for more than a quarter of their turnover, with this figure expected to fall to only 51% within five years. On the one hand this underlines the huge transformation the supplier industry is already undergoing, but on the other it shows that many suppliers’ business models will remain tied to the combustion engine until the end of the decade.

Revenue shares depending on ICE
(in %)

Source: Berylls Supplier Executive E-Mobility Survey 2023

Most suppliers see more opportunity than risk in this transformation. Nearly one-in-eight managers surveyed see electromobility as an opportunity for their company (77%), while fewer than one-in-10 (9%) see more risks than opportunities.

Attitude toward electric mobility
(in %)

Source: Berylls Supplier Executive E-Mobility Survey 2023

And despite the uncertainties ahead, a full three-quarters of respondents (75%) expect a positive influence on turnover in the next five to 10 years, with only 13% forecasting a decline in margins due to electromobility.

Potential impact of E-mobility on suppliers‘ revenue & profitability
(in %)

Source: Berylls Supplier Executive E-Mobility Survey 2023

Difficult market conditions for suppliers

This level of optimism is striking, not least because one consequence of E-mobility is a more competitive and less certain market. For many suppliers, E-mobility will bring challenging levels of change, with low or even negative margins, high technological uncertainty and considerable financial risk.

In the E-mobility era suppliers are confronted with high transition costs, rapid development cycles and a shortage of E-mobility skills. All these factors combine to compress margins and intensify competition.

Despite rapid growth, absolute volumes for electric vehicles remain comparatively low, limiting the opportunity to offset high development costs through volume sales. Meanwhile short E-mobility innovation cycles force suppliers to develop and launch new product generations more frequently simply to keep pace with competitors even while OEMs remain focused on efficiency increases and cost reductions. In this environment it is unsurprising to find intense competition for E-mobility engineering skills from both OEMs and suppliers, forcing up labor costs and further squeezing supplier margins. This is only likely to increase as new suppliers attract staff and volumes increase.

Such cost pressures against a background of furious competition from existing suppliers seeking to build their position in the E-mobility market and new suppliers, who may be free of the burden of legacy costs, mean that for many suppliers’ prices are too low to support margins. In some cases, margins may actually be negative. Established suppliers risk becoming trapped in a vicious circle: they need more business to increase their volumes and strengthen their own market position, but that may mean lower average margins and often higher cross-subsidization from other business areas.

In the long run this is not sustainable and sooner or later consolidations will be necessary – indeed, the first signs of this are already apparent.

Clear strategy required

Supplier optimism is good, but for this to be justified it needs to be supported by a clear transition roadmap. Strategy needs to take account not only of long-term positioning, but also of short-term market conditions and resourcing needs, and the implications for product margins.

Above all, supplier strategy needs to target considered volume increases (whether organic or inorganic) to reach a critical size and achieve necessary economies of scale, and build on and extend skills to enable production start-ups.

Strategy implies coordination and resource allocation. With increasing volumes in a product generation that is not yet fully mature, it becomes vital that all functional areas from development to production work together smoothly and efficiently. It is important to manage limited resources effectively because scaling usually requires high investment, with new production lines and sometimes entirely new production plants. Financing needs to be secured and additional technology and management expertise need to be introduced with care to encourage long-term loyalty to the company.

Correct positioning necessary to seize opportunity

E-mobility is a classic case of opportunity and challenge. Although most auto suppliers are still heavily reliant on combustion engines, they fully expect this will change in the next few years. And despite struggling with low margins and high competitive pressure, most suppliers are confident that they will prosper.

Yet to make this optimism a reality, suppliers will need to position themselves properly and make strategic decisions to strengthen their market position and meet the innovation challenge.

Only then will it be clear whether their optimism is justified.

Berylls Insight
E-Mobility Supplier Survey 2023
Dr. Jürgen Simon

Associate Partner

Dr. Jürgen Simon

Dr. Juergen Simon (1986) is Associate Partner at Berylls Group, an international strategy consultancy specializing in the automotive industry. He is an expert in sales and corporate strategies as well as M&A and can look back on many years of consulting experience.
Dr. Juergen Simon has been advising automotive manufacturers and suppliers since 2011 and has in-depth expert knowledge in the areas of holistic strategy development, business models and commercial due diligence. He also focuses on market entry strategies and topics related to the „Software Defined Vehicle“.
Prior to joining Berylls Strategy Advisors, he worked as senior consultant at the Droege Group, a consulting and investment firm.
As a graduate economist from the University of Hohenheim, he completed his doctorate at the Institute of Management at the Karlsruhe Institute of Technology (KIT) before joining Berylls.

Managers need courage

Munich, August 2023

Managers need courage

Munich, August 2023

or auto suppliers, the need to adapt to E-mobility technologies and processes is urgent. This is a process that must be managed, step by step – so here’s how

The Shanghai Auto Show 2023 sent shockwaves through the auto industry. It demonstrated that China – the world’s most important auto growth market – is accelerating its E-mobility transition faster than most people expected. Chinese automakers presented a compelling and innovative model range, with new features and very competitive pricing. It showed that new entrants to the auto industry can develop market-beating capacity at an astonishing rate.

Changes in transaction activity depend heavily on the target company’s profitability, as of 10.03.2023
(in billions US-Dollar)

1. Definition and selection criteria for the AUTO100 Index:: Conditions: listed with >€1 billion market capitalization, turnover share of automobility >50%, selection by >20 individual scores which assess the strategic and fundamental performances.
2. Definition established/new players: established players have a long automobile history; new players were established in the year and afterwards
3. Rebranding of KAR auction Services to "OPENLANE" from 15.03.2023
4. Significant shift through Tesla stock price fall from $279.43 [10.03.22] to $173.44 [10.03.23]

Source: Berylls AUTO100 Index, Berylls Strategy Advisors

Today, 11 automotive companies that did not even exist before the year 2000 now account for 30% of market capitalization in the Berylls TOP-100-Automotive-Player Index. And more new entrants to the industry, such as Li Auto and XPeng, are likely to figure in the TOP 100 soon.

For established auto suppliers, this presents a growing challenge. Acceleration of the E-mobility transition and the arrival of entirely new manufacturers, combined with the increasing focus on in-sourcing on the part of established OEMs, means that suppliers are already addressing an entirely new market. At this point it is critical for suppliers to assess their own position in the market and set a course for a different kind of future, all while fulfilling existing business commitments. This is a complex situation, in which suppliers face shortages of resources, double burdens and challenges for companies, managers and employees.

Suppliers who have already reoriented to a primary focus on EV components or those whose product lines are already powertrain agnostic are in the strongest position. They can devote all their energy to future business – whether that be in developing compelling innovations, consolidation of market position or increasing efficiency and productivity.

For suppliers who have yet to make the transition to E-mobility focused business, radical rethinking around decades-old business models and consistent, decisive action by management are the order of the day. They need to free themselves from traditional organizational structures and ways of working, and they may need to support this reorientation through temporary structures that can smooth the transition path.

For a successful transition to E-mobility, experience shows that it is imperative to observe six guiding principles:

1. Clarity and consistency in the transformation

Transformation is a task for senior management and has the highest priority. If the changes that senior managers are expecting from the organization are going to be executed effectively, then clear messages on the need for change and the ultimate purpose of the transition are needed. The other critical element is passion for change: it is this which engenders the ability to reimagine the organization at all levels, as well as for people to change themselves. The goal is for management to “live the future” in the here and now.

2. Humility and respect toward the history and values of the company

Successful transformations actively address the past and reveal how the company’s ability to change has shaped it so far. The most important questions to be considered are: where do we come from? Why is the business like it is? Which patterns can be broken and which cannot? By recognizing current structures and cultural patterns and dealing with them respectfully, management can assess where there is an immediate need for action and where radical changes cannot be initiated overnight.

3. Convergence of strategy and organizational development

An integrated strategy for organizational development identifies current and future demands on structure, culture and management, and monitors change on an ongoing basis. Companies in transition need calibrated momentum, so the speed of the organization’s adjustment is decisive.

4. Targeted planning and implementation

The secret of successful implementation is to maintain planned targets rather than strive for results which push beyond the framework of the current transformation. Companies cannot withstand excessive speed and change over a long period. Too little momentum and the transition will wither; too much and the organization may break down. Therefore it is critical to evaluate transition plans carefully in the planning phase and consider their real-world feasibility.

5. Mix of experienced and young managers

The transformation team will play a key role in the success of the change initiative. The role of this team is to lead its staff with empathy and to communicate stability and security where there is uncertainty. The team therefore needs a good mix of experienced and younger managers who want change: experienced managers should be capable of assessing feasibility, practicability and potential risk, smoothing the way for the new generation. Younger managers see the situation with fresher eyes and are more likely to focus on the opportunities of tomorrow than on the risks of today.

6. Recognition of every staff member’s contribution

Managers need to make sure that staff are able to make individual contributions. That is only possible when staff understand why the transformation is the right way forward, what the common goal is and what each individual can achieve. If these elements are present, management can better control the transformation with all its dependencies, and the chances of success are greatly enhanced.   

The automotive supply sector is facing changes which are exponentially increasing demands on management teams. Such changes call for managers who have the vision and the perseverance to transform the core business by reimagining the organization and its value chain.

The transformation goal is change, but not discontinuity. It is only by understanding the past that organizations can fit themselves for the future. When companies recognize and celebrate past successes, they are enabled to build a coalition of willing people focused on the future.

Laura Kronen


Sema Poyraz

Project Manager

Laura Kronen

Laura Kronen (1980) is a partner at Berylls Group with a focus on transformation. She is passionate about moving people and organizations forward. With over 16 years of industry and consulting experience, her focus is on transformative challenges in the operations context – from executives to individual employees, at manufacturers and suppliers. She helps her clients align strategy, structure, and culture in their respective market environments to build resilience.

Prior to joining Berylls, Laura Kronen worked at PwC Strategy&, Volkswagen AG and Audi. She holds a diploma degree in industrial engineering from the Karlsruhe Institute of Technology (KIT).

Führungskräfte brauchen Mut

München, August 2023

Führungskräfte brauchen Mut

München, August 2023

er Veränderungsdruck auf einige Zulieferer ist nicht nur hoch, die Transformation zur E-Mobilität muss auch in kurzer Zeit gelingen. Führungskräfte müssen diesen Prozess aktiv begleiten. Ein Leitfaden.

Die Shanghai Auto Show 2023 hallt nach: Der wichtigste Automotive Wachstumsmarkt, China, gibt Vollgas in Richtung E-Mobilität, mit eigenen Marken, einer Vielzahl an Modellen, neuen Features und attraktiven Preisen für die Kunden. Dabei sind es weniger die Themen, die aufrütteln, als die Geschwindigkeit und Wucht, mit der die neuen Spieler in den Markt eindringen.

Elf neue Spieler realisieren 30% der Marktkapitalisierung im Berylls-Index der Top-100-Automotive-Player, Stand 10.03.2023
(in Billionen US-Dollar)

1. Definition und Auswahlkriterien für den AUTO100-Index: Voraussetzungen: börsennotiert mit > 1 Mrd. EUR Marktkapitalisierung, Umsatzanteil der Automobilität >50%,
Auswahl durch >20 Einzel-Scores, die sowohl die strategische als auch die fundamentale Performance bewerten
2. Definition etablierte / neue Spieler: etablierte Spieler haben eine lange Automobilgeschichte; neue Spieler wurden im Jahr 2000 und danach gegründet
3. Rebranding von KAR Auction Services zu „OPENLANE“ ab 15.05.2023
4. Signifikante Verschiebung durch jüngste Börsenkorrekturen zu Ungunsten von Tesla von 279,43 USD [10.03.22] auf 173,44 USD [10.03.23]

Quelle: Berylls AUTO100 Index, Berylls Strategy Advisors

Bereits heute realisieren elf Automotive-Unternehmen, die nach dem Jahr 2000 gegründet wurden, 30 Prozent der Marktkapitalisierung im Berylls-Index der Top-100- Automotive-Player. Und weitere neue Spieler wie Li Auto und XPeng machen sich bereit, eine Position unter den Top-100- Unternehmen einzunehmen.

Für viele etablierte Zulieferer spitzt sich die Situation dadurch weiter zu. Die zunehmende Geschwindigkeit, mit der die Transformation hin zur E-Mobilität voranschreitet, die Insourcing-Bestrebungen der etablierten OEMs und die Markteintritte vieler neuer Spieler – das alles erhöht den Druck, die aktuell gute Position auf den Prüfstand zu stellen. Es gilt, die Weichen für die Zukunft zu stellen und eine neue Erfolgsposition aufzubauen – und gleichzeitig die Verpflichtungen im bestehenden Geschäft einzuhalten. Das führt zu enormer Komplexität, Ressourcenengpässen, Doppelbelastungen und Herausforderungen für Unternehmen, Führungskräfte und Mitarbeiter.

Vorteile haben diejenigen, die bereits heute einen klaren Fokus auf EV-Komponenten legen sowie diejenigen, die Antriebsstrang-agnostisch agieren. Sie können ihre Energie voll auf das zukünftige Geschäft richten – seien es überzeugende Innovationen, der Ausbau der Marktposition und damit einhergehend die kontinuierliche Verbesserung der eigenen Produktivität.

Für die anderen ist radikales Umdenken in jahrzehntealten Geschäftsmodellen und konsequentes, entschlossenes Handeln von Führungskräften das Gebot der Stunde. Sie müssen sich von ihren traditionellen Organisationsstrukturen und Arbeitsweisen lösen, unterstützt durch temporäre Strukturen, die sich auf den Erfolg der Transformation konzentrieren.

Für einen erfolgreichen Übergang zur E-Mobilität gilt es folgende sechs Leitprinzipien zu berücksichtigen:

1. Klarheit und Konsequenz in der Transformation

Transformation ist Top-Management Aufgabe und hat höchste Priorität. Veränderungen, die das Top-Management von der Organisation erwartet, gilt es sichtbar vorzuleben. Dafür braucht es klare Botschaften, die das System unter Druck setzen und den Sinn der Transformation verdeutlichen. Im gleichen Zuge zählen Begeisterung und ein starker Wille jedes einzelnen, die Organisation und sich selbst zu verändern. Das Führungsteam lebt die Zukunft im Hier und Heute vor.


2. Demut und Respekt gegenüber der Geschichte und den Werten des Unternehmens

Erfolgreiche Transformationen setzen sich aktiv mit der Vergangenheit auseinander und decken auf, wie die Veränderungsfähigkeit des Unternehmens es bis heute geprägt hat. Die wichtigsten Fragen, die es zu beachten gilt, sind: Woher kommen wir? Warum ist das so? Welche Muster können durchbrochen werden und welche nicht? Durch das Erkennen aktueller Strukturen und kultureller Muster und den respektvollen Umgang mit ihnen können Führungskräfte einschätzen, wo Handlungsbedarf besteht und wo radikale Veränderungen nicht von heute auf morgen angestoßen werden können.


3. Konvergenz von Strategie und Organisationsentwicklung

Eine integrierte Strategie- und Organisationsentwicklung leitet ausgehend von der Strategie die Anforderungen an Struktur, Kultur und Führung ab und begleitet die erforderlichen Veränderungen. Damit das Momentum der Transformation genutzt werden kann, ist Geschwindigkeit bei der Anpassung der Organisation entscheidend.


4. Zielgerichtete Planung und Umsetzung

Das Geheimnis erfolgreicher Umsetzung besteht darin, an den geplanten Zielen festzuhalten und keine Ergebnisse anzustreben, die über den Rahmen der aktuellen Transformation hinausgehen. Denn übertriebene Geschwindigkeit und Veränderung können Unternehmen in der Regel nicht auf Dauer standhalten. Das positive Momentum der Transformation geht in dieser Situation verloren. Aus dem gleichen Grund ist es wichtig, bereits in der Planungsphase Transformationspläne genau unter die Lupe zu nehmen und auf ihre Umsetzbarkeit für die Organisation zu prüfen.


5. Mischung aus erfahrenen und jüngen Führungskräften

Das Transformationsteam spielt eine Schlüsselrolle für den Erfolg der Gesamtinitiative. Es zeichnet sich durch die Fähigkeit aus, Mitarbeiter mit Empathie zu führen und in Unsicherheit Stabilität und Sicherheit auszustrahlen. Dabei braucht es eine gute Mischung aus erfahrenen und jüngeren Führungskräften, die Lust auf Veränderung haben: Die Erfahrenen können Machbarkeit, Praktikabilität und potenzielle Risiken gut einschätzen und den Weg für die neue Generation ebnen. Die Jungen sehen die Situation mit anderen Augen und bringen mutige, neue Impulse für ein besseres Morgen ein.


6. Anerkennung des Beitrags jedes Mitarbeiters

Das Management muss die Transformation mit all ihren Abhängigkeiten vollständig erfassen und steuern. Es muss sicherstellen, dass die Mitarbeiter ihren Beitrag leisten können und verstehen, warum die Transformation das Richtige ist, was das gemeinsame Ziel ist und was jeder Einzelne leisten kann. Wenn diese Elemente vorhanden sind, sind die Chancen auf eine erfolgreiche Transformation erheblich größer.

Die Branche steht vor Veränderungen, die die Anforderungen an Managementteams exponentiell erhöhen. Das bedingt Führungskräfte, die die Vision und das Durchhaltevermögen haben, das Kerngeschäft, die Organisation und die Wertschöpfungskette ihrer Organisation gleichzeitig zu transformieren. Dafür müssen sie eine Koalition der Willigen aufbauen und die Erfolge ihrer Organisationen in der Vergangenheit anerkennen und würdigen.

Laura Kronen


Sema Poyraz

Project Manager

Laura Kronen

Laura Kronen (1980) ist Partner der Berylls Group mit Schwerpunkt Transformation. Menschen zu bewegen und Organisationen voranzubringen begeistert sie. Mit über 17 Jahren Industrie- und Beratungserfahrung liegt ihr Fokus auf transformativen Fragestellungen im Operations Umfeld – vom Executive bis zum einzelnen Mitarbeiter, bei Herstellern und Zulieferern. Sie unterstützt ihre Kunden dabei, Strategie, Struktur und Kultur in ihrem jeweiligen Marktumfeld in Einklang zu bringen und somit ihre Resilienz zu stärken.

Bevor Laura Kronen zu Berylls kam, arbeitete sie bei PwC Strategy&, Volkswagen AG und Audi. Sie hat einen Diplomabschluss in Wirtschaftsingenieurwesen vom Karlsruher Institut für Technologie (KIT).