Featured Insights
Munich, March 2024
ow OEMs successfully navigate an insecure environment with volatile incentives and reluctant customers as well as retailers.
In 2024, the automotive industry is supposed to be at the tipping point of the transformation to the battery electric vehicle (BEV). This paradigm shift is exemplified by the imminent launch of over 50 new battery electric vehicle models in Germany alone, coupled with more than 15 Chinese brands operating in the fiercely competitive European market.
But will the shift happen, or will it be dismissed? The dramatic drop of BEV sales in December 2023 (compared with 2022), shows clear signals of a weakening commitment and volatile demand. So how do you navigate through this difficult time without wasting effort and budget?
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Featured Insights
Munich, April 2024
ncertain demand in a weak economy, a mix of powertrains, skills shortages and the influence of subsidies are making network design more important - and more complex
Automotive suppliers and OEMS are being forced to make hard decisions about their production networks, as they focus on efficiencies and protecting margins in an uncertain economy. Existing footprints are also being challenged by the electric vehicle (EV) transition, sustainability requirements, new skills needs and more political influence in the form of national subsidy programs.
Supplier ZF Friedrichshafen, for example, announced plans in January to close two plants in Germany with the intention of moving production to lower-cost locations in eastern Europe or India, and the future of Audi’s plant in Brussels is in doubt, according to multiple news reports. At the same time, Chinese EV maker BYD is building its first European factory in Hungary, which has a growing car battery industry.
Footprint decisions for suppliers are always complex because of the high costs involved – particularly after the rise in interest rates from years of historic lows – and the social and political impact of closures and job losses. But the range of current considerations, including the impact of generous new EV subsidies in the US under the Inflation Reduction Act, are making the process even more challenging.
Here we look at how suppliers can asses their overall network capacity in light of current and future market demands, to align with their strategic objectives.
Suppliers currently face complex additional footprint considerations, the first of which is undoubtedly politics. Governments are exerting more influence over where OEMs and suppliers locate production than they have done for a number of years, as national subsidy programs linked to the EV transition significantly affect the business case for factory locations.
The biggest is the US Inflation Reduction Act (IRA), signed into law by President Joe Biden in 2022. The IRA promises $433 billion of investments in the US economy, of which $369 billion are for energy security and climate change. The measures that directly affect the auto industry include tax incentives for consumers to buy EVs and grants to retrofit factories for low-emissions vehicle production. However, the subsidies only apply to EVs that are made with a proportion of materials that are sourced in the US or countries with US free trade agreements, such as Japan. The proportion was 30% in 2023, rising to 80% by 2027.
The earlier Bipartisan Infratsructure Law, signed in 2021, also awarded $6 billion of grants for companies investing in battery manufacturing and components.
The intention of the legislation is to build up the US’s domestic battery and EV production and reduce reliance on Chinese components, and the result is that OEMs and suppliers will have to move production to the US in order to sell EVs and components there.
We believe the effect on the automototive labor market will go beyond job losses in Europe and Asia if new factories are located or older ones re-located to the US. Tech talent is also likely to move to the US, because subsidies are focused on future clean technologies, and innovation will go with them. This will cause Europe to lose further ground against the US.
This is not to say Europe is stepping back from the race to build up its EV and battery production capacity. EU member states made €6.1bn available to support battery innovation and production through two Important Projects of Common European Interest (IPCEI) agreed in 2019 and 2021. There are no restrictions on the origin of the raw materials for batteries, in order to build up production of EVs and battery cells in the region.
From 2026, the European Union’s Carbon Border Adjustment Mechanism (CBAM) means companies will have to pay for certificates to cover the cost of emissions created during the production of goods they import, making low-carbon local production sites more financially attractive.
There are also EU subsidies available to build up manufacturing in less wealthy parts of the bloc such as eastern Europe. Building new plants with the latest automation and digital production tools will increase efficiency and likely will cost less than modernizing an existing production site. The cost advantage will be a strong factor in suppliers’ footprint decisions.
Beyond politics, new types of workforce considerations are also now affecting footprint decisions. The first issue is the availability of people with the right skills: new, highly digitalized and automated factories need workers with a broad range of technology skills, including engineering, computer science, robotics and experience with artificial intelligence (AI). Creative problem-solving by humans will become increasingly important as routine production tasks are taken over by machines, and we see a growing need for hybrid experts, who combine technical skills with creativity.
We expect a significant impact on traditional factory job profiles as a result of increased digitization and automation, especially at the operational level in factories making lower-cost, mass-produced models (we define these as volume or variant champions here). We see the number of shopfloor logistics roles declining by 63% in volume champion sites and 56% at variant champions’ plants by 2035 while the number of factory operator roles will shrink by 53% and 40% respectively, and the number of line managers by 24% in both types of factories.
In their place, we see high demand for new job profiles as the use of smart machines increases, and databases and data flow become more important. The number of data engineer roles is expected to increase by 78% in volume champion factories and 98% in variant champions’ sites, for example.
For employers, recruiting people to fill these roles will be highly competitive because their skills are in short supply across all manufacturing sectors. Suppliers will need to adjust wages accordingly and offer additional benefits to attract skilled staff to their production sites. The location of plants will become increasingly important – factories close to existing tech or automotive hubs, for example, may find it easier to hire the talent they need.
Figure 1: Global Footprint Strategy
Source: Berylls Strategy Advisors
Looking in detail now at a typical supplier’s footprint decision process (see chart above), the first step has not changed despite the complex new challenges described above. Footprint decisions need to be aligned with the company’s strategic objectives, and whether the current network meets them. How is demand expected to develop in different markets and can production sites adapt?
The next step is 360-degree site assessments of performance, cost structure and capacity, to give transparency over each production site’s future potential and improvement opportunities.
Suppliers can then shape the ideal future footprint, defining the plant archetypes and logistics networks they will need. These become the guiding concepts for scenario analysis, that will cover each of the major areas that would be impacted by a change in footprint: cost; the potential effect of subsidies and other government initiatives; the supply chain and logistics network; regulatory compliance; environmental impact; technology and innovation; human resources, and risk assessment.
The evaluated scenarios are narrowed down to a shortlist for evaluation by a wider group of stakeholders, and the final stage is a business case calulation on the short-listed network options, before moving into implementation planning and final decision-making.
Footprint decisions are among the most crucial that any auto supplier will make. The right production network is a critical part of the long-term financial and non-financial success of the company: new production facilities are very expensive, but so is keeping under-used or inefficient sites open. The impact of the investment decision, good or bad, will be felt by the company for years.
Cost efficiency is still a top priority for any footprint decision, but after a period of time in which the auto industry has been hit with one crisis after another, resilience is now ranked just as highly. Important production network considerations to reduce complexity and increase flexibility can include building factories close to customers to reduce the chance of supply chain disruption, and ensuring sites are located in places where there are enough skilled staff, or that are attractive to new hires.
Sustainability throughout the supply chain is also a key consideration for OEMs, and suppliers must be able to ensure their production locations meet customer and regulatory ESG requirements.
And as described above, the auto industry has become a key part of many governments’ industrial policy as they seek to meet commitments to transform their economies. Striking the balance between the short-term benefits of subsidies and the long-term results of choosing a particular location is now an important part of the footprint decision-making process. Some uncertainty is inevitable, as for example in the US where the outcome of the presidential election in November may change the position on EV subsidies.
However, what suppliers can do is make a thorough assessment of their product portfolio and expected future market demands, and consider the results alongside subsidy benefits, to see whether government support makes entering a new market worthwhile. They should also consider how reliant their product portfolio is on subsidies, and how that impacts their production network flexibility.
All these factors – cost, resilience, sustainability and subsidies – deserve thorough consideration in footprint decision-making, to reduce the risk inherent to such large and long-lasting decisions.
At Berylls, we have worked with clients on production network strategy and supply chain design for years, building up deep expertise in defining the right criteria and evaluations for your company’s footprint decisions. We would be delighted to discuss this or any other aspect of manufacturing footprint with you.
Featured Insights
Munich, March 2024
ometimes, the automotive industry tends to use military terminology. Understandably, this is typically the case when the stakes are high and time is running out. Task forces are a prime example of this phenomenon.
Usually, they are formed when there is a risk of a production shutdown with high follow-up costs or when development and industrialization projects fail to reach their milestones. Mechanisms are then set in motion that are common practice and pathbreaking to achieve the desired results. How do these mechanisms work? Where in the company can they still be deployed with success and what are their restrictions? And why are they unavoidable, despite every effort?
A task force is formed when a specific problem needs to be resolved within a very short time and a great deal of money is at stake. On the one hand, there are requirements and performance indicators regarding deadlines, costs, and quality to be considered and, on the other hand, a team of experts that has been put together on a temporary basis. The attentive reader might possibly recognize that this description comes very close to the definition of a “project.”
HOWEVER, THERE ARE SEVERAL SIGNIFICANT DIFFERENCES TO A NORMAL PROJECT:
Basically, it’s already too late for the solution
A lot of time and money has already been squandered. Preventive measures have failed, and the effort is mainly about damage limitation. The goal seems unattainable – and yet it must be pursued by all means
Every day costs money
When it comes to delivery bottlenecks, for example, every minute of lost time can be measured directly in lost profitability per component and ultimately per vehicle. The pressure on the people involved can become unbearable.
The problem is incredibly complex
Open heart surgery is required. Every change to the strained system can cause effects that need to be considered in advance and no single process can simply be changed separately. Every measure needs to be scrutinized in terms of success, failure, and unintended side effects. Often a few simple, clearly communicated, aligned (de-escalation) targets are needed to help resolve the situation.
A task force has a prior history of escalation
The nerves of those involved are frayed, several attempts have already been made to solve the problem, personal careers are at stake, and trust has been undermined. On the one hand, a speedy and structured problem-solving is often hampered by the personal and political tactics employed by those involved, while on the other hand, the process tends to be fraught with nervousness and hectic activities. Calm, fact-based communication and effective leadership are often simply disregarded.
The markets are unforgiving
A delayed product launch goes hand in hand with the scheduling of new model series and always involves a considerable loss of profit and reputational damage. As a result, sales, controlling, and marketing teams understandably have limited patience for those in development, production, and the supply chain who are constantly striving to catch up on milestones and performance indicators. The pressure, therefore, is sizzling, demanding tangible signs of progress each day. These factors alone are a clear indication that a task force needs to operate with a variety of specific project management tools.
Task forces are like agile project management on steroids
The timing is very tight. The daily schedule starts in the early morning for the team with the daily check-in and ends with the daily check-out. In between, the agreed measures need to be rigorously implemented – independently and without lengthy committee meetings. Success, therefore, greatly depends on nominating the right team members. The right experts need to be integrated and the team spirit must be sound, regardless of the organization and job title, whether OEM, supplier, or consultant. In the end, the integrated efforts of those involved make all the difference.
Discipline and a keen focus on suction are basic requirements
It sounds so simple but is unfortunately not always given that scheduled agreements are adhered to. Unforeseen obstacles must be communicated and resolved immediately as they arise and not only when someone fails to provide the agreed result.
The structure of a task force covers the entire range of solutions and usually consists of several work packages. When setting up the work packages, it is important not only to address the obvious topics (e.g. “OEE increase”), but also to work on the underlying causes (e.g. “strategic resource management”). When forming the team, it should be borne in mind that everyone involved must actively collaborate and be aligned with the overarching goal as defined and guided by the higher management. It is key to manage interdependencies between work packages within the Task Force Team on a regular basis and with mutual support. This combination is the only way to solve acute problems and at the same time create a robust system.
Each measure must have verifiable objectives
In addition to precisely documenting each defined measure, it goes without saying that feedback on completion is provided at the agreed due date. Another decisive factor for ensuring success is the prior linking of the measures with the expected impact on a targeted key performance indicator. This requires some effort and practice but leads to two elementary effects: a) A measure without a defined outcome will simply not be implemented, as it would be wasteful. b) A measure with a defined outcome is then not only reviewed regarding implementation, but also for the fulfillment of the expected outcome.
Task forces align with and follow higher management
There is no time for committee meetings and long decision-making processes. In a task force, serious decisions sometimes need to be made several times a day. Depending on the size of the company, the uppermost hierarchical levels need to be either directly involved on a daily basis or at least accessible. If they are not directly involved, decisions must be prepared precisely with the necessary information and clearly communicated. The required effort should not be underestimated and must be prepared in parallel to the technical work. However, the power of facts is there to override political controversies.
Empathy and emotional intelligence are critical success factors
This point may sound surprising, given that task force situations are connected to a military style of communication. Ultimately, the personalities involved need to be understood and positively motivated. This requires an excellent understanding of the respective situation and motives for action by the task force leadership and the consultants involved.
However, a sustainable improvement of the situation can only be achieved if people act intrinsically different afterwards, a fact that also highlights the limitations of task forces in general, as they only work effectively within a clearly defined timeline and organizational framework. The preceding paragraphs clearly illustrate the significant pressure on the people involved, leading to long-term sustainability concerns. The usual organizational and operational structures are also temporarily insignificant. Sooner or later, the situation must be transitioned back to a robust and efficient disciplinary line management system.
For this reason, every good task force needs to prepare its own end from scratch
Criteria for de-escalation must be clearly and transparently defined. Embedded in an overarching schedule, they must be regularly communicated and not subject to change. Once the targets have been achieved, the task force is no longer required. The criteria therefore need to be defined so that a return to normal working mode within robust processes is subsequently possible. The combination of deliberately defined work packages and criteria for their de-escalation therefore determines the subsequent sustainability of the success right from the start.
We at Berylls have spent decades honing our expertise in mastering task forces within the operations environment. The focus in terms of content has increasingly shifted towards e-mobility components but is not limited to this field alone. The task force life cycle we have developed as a result is a unique approach that incorporates all the success factors mentioned above:
Figure 1: The Berylls task force life cycle
Source: Berylls
Pronounced for us was the successful transfer of experience from more than 100 successful de-escalated task force projects to enable early escalation preventive programs in future development and production planning. This is where our tried and tested Safe Launch System Certificate comes into play, which certifies that suppliers and OEMs have their development, industrialization and launch management processes under control.
But we wouldn’t be “but dyfferent” if we didn’t go one step further with our clients. When it comes to monitoring and controlling a task force, we offer our tool called “elyvate”. Our colleague Christian Kaiser has already described the additional use of IT tools and artificial intelligence for efficient support here.
In our following articles, we will also look at how task forces can lead to success, even in a well-oiled marketing machine or a dynamic sales environment. The instruments simply need to be adapted to the respective circumstances. Nevertheless, based on our experience, we strongly advise our clients to have a standardized task force approach as well as management mechanism for early problem identification at hand so that it can be swiftly utilized as and when needed.
Featured Insights
Munich/Detroit, April 2024
he digital revolution is transforming automotive sales and marketing at an accelerating pace as economies bounce back from the pandemic.
Amid the upheaval, the winners will be those players that capture the opportunities created by new, data-driven technologies to improve the customer journey.
Berylls Mad Media has developed a direct-to-consumer sales and marketing approach which we call the “Infinity Loop” to give you a head start over the competition. The loop delivers continuous optimization of the customer journey through constant interaction between data-driven end-to-end (E2E) marketing activities and omni-channel sales.
Time is short. The sales and marketing transformation race is a sprint where the winners will emerge at speed. For this reason, Berylls Infinity Loop leverages five key transformation levers to help you cross the finishing line by 2025.
Discover more in our point of view.
Featured Insights
ffective Pricing Strategies amidst the Global BEV Price War.
Today, the global automotive industry is faced with an unprecedented realm of pricing challenges characterized by ever escalating price wars that threaten both market stability as well as profitability. In our most recent study, we have analyzed the price developments of the BEV used car market in Europe and its impact on the new car market.
This article will delve deeper into the global trend of falling car prices (new and used) with particular emphasis on effective pricing strategies. Our main aim will be to provide a strong framework for OEMs, captives, leasing companies and everyone involved in car (re-)sale to respond effectively against these price wars using a set of proven levers. We recommend promptly setting up a cross-functional task force to develop and swiftly implement customized pricing strategies suited to different vehicle ranges and models to best profit from the given circumstances during price wars.
The global automotive industry is at an inflection point where BEV price wars are active across regions. Triggered by the price cuts that Elon Musk does at Tesla and fueled by discontinued subsidies in countries like Germany and France, this price war has reached substantial proportions. Tesla has slashed new car prices for their models between 2022 and today by between 16% (Model 3) and up to 33% (Model X) in the US.
TESLA LIST PRICES SINCE 2020 FOR THE US, IN USD
Source: Berylls Strategy Adivsors, Car and Driver
Discounts and price cuts are back! After a longer period of high prices due to demand bottlenecks, BEV discounts are about to become the new normal. This is not affecting single brands or segments but can be observed across the board.
TOP 20 DISCOUNTS BY BRAND AND MODEL
Source: Berylls Strategy Advisors
Once a price war has started, it is obviously difficult to act against or even stop it. The trick is to make the best out of given circumstances short-term and to execute the most effective levers out of the pricing toolbox. By doing so, companies will profit from additional effects on profitability despite the negative effects the price war will have without a doubt.
A price war represents a highly competitive situation in the market. It occurs when a business reduces its prices to attract more customers and increases its market share, leading other competitors to lower their prices as well, to remain competitive.
PRICE WAR – UNDERSTANDING TRAD-OFFS
BEV market is experiencing decreasing prices due to higher sales pressure. The risk of a price war with its vicious cycle is rising. Various opportunities and threats must be traded off precisely by the OEMs.
Source: Berylls Strategy Advisors, Autovista24, part of Autovista Group
Like conflicts among nations, price wars often stem from escalating tensions or significant disparities within the market landscape. The onset of such wars is almost inevitable once these conditions are in place. Price wars do not emerge spontaneously but are the result of various contributing factors and certain triggers:
In industries where a few large corporations dominate, alongside a considerable number of smaller entities, the risk of a price war escalates.
To prevent new competitors from gaining a foothold, existing businesses might reduce their prices, thereby intensifying the competition over pricing.
When consumers frequently switch providers seeking lower prices, companies might engage in fierce price reductions to attract and keep these price-sensitive shoppers.
Overly optimistic growth expectations can prompt managers to compete aggressively for a larger share of the market.
When offerings are seen as similar, there's a higher tendency towards price wars, as with limited options for differentiation, businesses might lean towards cutting prices.
Companies weigh the potential gains from lowering prices against the risk of competitive retaliation. This balance influences whether they decide to lower prices or avoid doing so.
These elements are reliable indicators of the potential for price wars to erupt. In automotive, it is a combination of different triggers, that lead to the current price war. Market concentration is still high, although the number of new OEMs especially from China has considerably lowered it. New entrants are setting new price levels for certain vehicle ranges that are much lower than what was the case before, thereby educating consumers towards low prices. The expectation of high market growth might have influenced the decision of Tesla to lower prices, expecting to gain market share. The same rationale might hold true for especially Chinese manufacturers. Subsidies are being reduced or stopped etc.
Understanding the reasons behind a price war is important as to some extend it influences the possible reactions on the pricing side.
During a price war, businesses often face significant pressure to lower prices to maintain competitiveness, which can lead to a race to the bottom and potentially harm long-term profitability. However, there are several pricing approaches that companies can adopt to navigate through a price war effectively without solely relying on cutting prices.
Choosing the right strategy depends on the company’s market position, product or service offerings, customer base, and overall business goals/ pricing strategy. Before deciding on a set of pricing approaches, the pricing strategy must be clearly defined and the focus on volume vs. margin determined for those products in focus at least.
It’s also crucial to monitor the effectiveness of the chosen strategy and be prepared to adjust as the market conditions change.
Here are the 10 most suitable pricing strategies to use during price wars (of course not only then):
PRICING APPROACHES DURING PRICE WARS
10 most suitable pricing strategies to use during price wars (of course not only then).
Emphasize customer value; justify higher prices for select segments.
Instead of competing on price, focus on the value offered to customers. This involves understanding what aspects of your product or service are valued by your customers and setting prices based on that perceived value. By differentiating your offerings, you can justify maintaining higher prices at least for certain parts of the portfolio and selected customer segments.
Set higher prices for unique features or superior quality.
Maintain a premium pricing strategy for products or services that offer unique features, superior quality, or exclusive benefits not available from competitors. This strategy relies on branding and market positioning to appeal to customers who are willing to pay more for perceived higher value. This can for example be applied to certain accessories or parts of a vehicle range.
Combine products for increased perceived value and sales.
Combine products or services into a package deal at a price lower than the total of each item sold separately. This can increase the perceived value for customers and discourage direct price comparisons with competitors' individual products. Bundling can e.g. be done for cars and service packages (higher margin business).
Temporarily lower prices to gain market share quickly.
Temporarily lowering prices below competitors to gain market share and attract price-sensitive customers. Once a solid customer base is established, prices can be gradually increased. This strategy requires a careful balance to avoid long-term profit erosion. It can make sense in a situation where a bigger cost advantage exists compared to competition.
Price products to cover costs and ensure profit.
Ensure pricing covers costs and includes a margin for profit. This strategy is more about internal cost management than market competition, but it can help avoid selling at a loss during a price war.
Employ tactics to make prices more appealing.
Utilize pricing tactics that make your prices appear more attractive, such as pricing products at $999 instead of $1.000. This can make your offerings seem cheaper without significantly reducing the price. Rounding logics can of course be applied to accessories as well. There are further psychologically driven pricing tactics that can be applied such as “reason discounts”, “prestige prices”, “versioning” etc.
Adjust prices based on real-time market conditions.
Adjust prices in real-time based on market demand, competitor prices, and other external factors. This requires sophisticated pricing algorithms and data analysis but can help you stay competitive without initiating a downward price spiral.
Offer discounted items to attract customers; boost sales of higher-margin products.
Offer one or more products at a loss or very low margin to attract customers into the retail store or onto the platform with the expectation that they will purchase other, higher-margin items.
Retain customers with rewards and incentives.
Implement or use existing programs that reward repeat customers with discounts, exclusive offers, or other perks. This encourages customer retention and can help maintain sales volumes without directly engaging in price cuts.
Lower prices strategically to remain competitive.
Instead of across-the-board price reductions, selectively lower prices on key items that are most sensitive to competition. This can be an effective way to remain competitive on hot-ticket items while maintaining margins on others.
Applying these strategies can be complex as there´s no silver bullet in pricing, but it is rather a combination of different approaches that will lead to success.
Different strategies can be necessary for certain parts of the portfolio as well as for the regions or countries. Products are positioned differently, and the strategy might as well be. The regional focus of pricing strategies as well depends on the targets that should be achieved. Local adaptation of measures such as bundling or psychological pricing must be done because of market and customer habits.
From our many years of experience, there are three main mistakes that companies make during price wars:
1. The “do nothing” mistake: Price wars are an uncomfortable situation for managers. You know that you are losing substantial profit, you cannot really stop the price war, nor do you know when it will end. Quite often the reaction is to try and not make it worse by any actions for which the outcome is unknown. Managers simply sit, observe, and wait until the price war is over.
2. The “we must act not, it is serious” mistake: During price wars, companies start losing profits immediately and the effect is getting bigger every day and week. All reports show negative deviations and pressure will be high for management to act. The pricing function in automotive OEMs, captives, leasing companies etc. is still underdeveloped in many cases. Data and tools are not sufficient, processes rather manual than digital and the like. For price war situations often there´s no toolbox existing, that pricing managers can make use of. The result often is a hectic and not well thought about approach with measures that are more driven by pressure than based on a strategy.
3. The “lone wolf” mistake: Of course, there are people that know what to do or at least believe they do. This sometimes results in isolated measures for e.g. a single product, region, or the like. The problem with this is, that spill-over effects to other products or customer segments are not considered. The complexity of pricing measures is simply underestimated because one is looking at a local optimum. The result can sometimes be the opposite of what you wanted to achieve.
Those mistakes must clearly be avoided and there´s a recipe for how to make sure that price wars are being managed in a positive way.
Pricing task force
In a first step, we recommend businesses to build a pricing task force for the immediate management of counter actions in a price war. Why task force? Because it is necessary to act quickly and involve resources and data from different departments to work systematically and with high pressure to develop and implement solutions. And because a local optimum of one department is often not enough, but a more global optimum is required.
The task force must identify the most important fields in which measures mustbe implemented first. This can be parts of the portfolio, regions, sales channels,or the like. For each priority field, the situation is analyzed, including competitor activities, purchase behavior of clients etc. Based on this, a pricing strategy is developed, considering volume and profitability aspects. Financial targets must be defined, in a worst-, realistic- and best-case scenario. Based on this, a team of experts from different functional areas such as sales, marketing, pricing, financeetc. will develop measures and evaluate their effect before starting to step-by-step implement. Dedicated reports from the markets in focus will make sure that effects in the market become visible and measures can be adjusted accordingly.
Institutionalize
As a second step (or in parallel, depending on resource availability), the taskforce work must be institutionalized. As part of the existing pricing governance and operating model, the necessary elements for price war situations must be added.
The most important elements are to define committees that will be put in placewith a clear governance and a pricing toolbox for the price war situation as well as a dedicated process.
With these two steps, maneuvering through a price war can be done systematically and with maximum impact.
Nota bene: It is obviously the better option to avoid price wars if possible and to make sure that an existing price war can be ended quickly, for example by sending out appropriate communication into the market.
With all these price wars, the global automotive industry is passing through challenging times with threats to decades‘ traditional business models. However, with a systematic and comprehensive approach towards pricing and market positioning OEMs, captives, leasing companies and everyone involved in car (re-)sale can ride the tide in these turbulent times. Formulation of a dedicated task force is thus an important first move to make use of data and pool resources across functions to make better and faster decisions and focus on rigid execution.
Featured Insights
V STARTUPS ON THE STOCK MARKET – A JUSTIFIED HYPE?
In the last five years, many new EV players entered the stock market. Companies like NIO, Rivian, Lucid, VinFast, and XPENG are among the firms in the hunt for fresh capital to fund their ambitious endeavors. Initially, investors seemed to be on the edge of their seats, eagerly anticipating who was going to follow in the footsteps of EV pioneer Tesla. When Rivian went public at the Nasdaq stock exchange in November 2021, it resonated like an earthquake in automotive circles. At an initial valuation of USD 66.5 bn, they were valued at a similar level to established players Mercedes-Benz and BMW, only two months after producing their first ever customer-ready car.
However, despite this initial hype around newly emerging EV players, the recent performance of Rivian and its EV-peers on the stock market is quite underwhelming. While the rise of new electric vehicle manufacturers seemed very attractive for investors from the get-go, popular companies like Rivian, Lucid or Fisker are currently valued at less than 20% of their initial valuation. This underperformance of many emerging BEV players on the stock market raises question marks. Was the hype around EV startup stocks justified?
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Featured Insights
Munich, March 2024
UROPEAN POLICYMAKERS DEFINE ELECTRIC MOBILITY AS THE FUTURE.
Governments in Europe unanimously share the vision that electrifying the vehicle fleet is the best way to achieve a more sustainable future. With its new regulation, which states that from 2035 all new cars and vans registered will have to be zero-emission versions, the European Union is a global front-runner in the adoption of electric vehicles.
However, this places OEMs under a lot of pressure to update their vehicle portfolio within a relatively short time span. In order to maintain a profitable business case, nearly all OEMs initially focused on producing rather pricy high-end SUVs. Cost parity between comparable new BEV and ICE vehicles has still not been achieved in most cases and, in particular, affordable vehicles in the smaller segments are yet to be launched. For instance, FIAT is offering the electrified version of its 500 with a premium of 78% and even Jaguar’s high-end SUV F-Pace is one third cheaper than its electrified brother (according to UK list prices). This pricing policy limits the overall size of the potential buyer group and prevents the BEV market from moving from early adopters to the mass market.
Source: AutoTrader as of 17.01.2024
After some initial strong growth – also fueled by high government tax incentive schemes – the relative market share growth of battery electric vehicles (BEVs) is gradually slowing down across Europe.
TOTAL PASSENGER CAR REGISTRATION VOLUME EU5
Increasing relative share of BEV in EU5 registration volume (2017-2023), (registered cars in thousands)
Source: Berylls Strategy Advisors, ACEA
Whilst the share of BEV registrations across all drivetrain types is steadily increasing for the top 5 EU markets (14% in 2023), the momentum of growth is slowing down (+23% in 2023 vs. +103% in 2021 for the top 5 EU markets). BEV customer subsidies are being increasingly reduced in many EU markets (e.g., subsidies for corporate and private cars in Germany were terminated at the end of 2023).
BEV PASSENGER CAR REGISTRATION VOLUME PER EU5 MARKET
Increasing size of registered BEVs in EU5 (2017-2023), (registered cars in thousands)
Source: Berylls Strategy Advisors, ACEA
BEV PASSENGER CAR REGISTRATION SHARE PER EU5 MARKET
Increasing relative share of BEVs per EU5 market registration volume (2017-2023), (all figures in %)
Source: Berylls Strategy Advisors, ACEA
We identify the BEV used car market as one of the key reasons for this slowdown, combined with affordability issues due to challenging economic conditions with high interest rates.
Used BEVs are performing significantly worse than ICEs throughout top European markets with regard to their residual values. On average across Europe, more than 50% of the initial value is lost after an average of three years and 60,000 kilometers.
RESIDUAL VALUE PER DRIVE TRAIN
Comparison of residual values along drive trains (BEV, Diesel, petrol), (all figures in %)
Source: Berylls Strategy Advisors, Autovista24, part of the Autovista Group
The situation is leading to a significant excess value loss for BEVs compared to ICEs, especially when factoring in the higher initial new car prices of BEVs.
In Germany, on average BEVs had an excess residual value loss of 13% compared to petrol vehicles in December 2023. The rest of Europe’s top 5 markets displayed similar tendencies with excess residual value losses ranging from 13% (Spain) to 21% (Italy) when comparing BEVs to petrol vehicles. Apart from Spain and France, used cars in all top 5 European markets have lost drastically in residual value. In the UK, the residual value of BEVs plummeted dramatically from 63% to 40% in the course of 2023.
Based on an average new BEV list price of EUR 43,529 as stated by Autovista Group for Germany in December 2023, the absolute amount of excess loss of an average BEV compared to an average petrol vehicle is 13%, which equals EUR 5,659 compared to the initial list price. Looking at a 36-month lease contract with a total of 60,000 km, this would make a BEV EUR 157 more expensive per month compared to a petrol car, just to cover the excess loss and excluding interest effects, in addition to the higher lease installments due to the higher list price.
Likewise, lower residual values also affect new car lease contracts, as providers will try to pass on higher depreciation to their customers. An analysis conducted by Transport & Environment in 2023 reveals that across major European markets, leasing companies charged consumers 57% more to lease an EV compared to an equivalent petrol model.
RESIDUAL VALUE PER DRIVE TRAIN AND EXCESS LOSS IN COMPARISON TO PETROL
Comparison of residual values per car of BEV vs. Petrol and Diesel in DE, (rounded figures, December 2023)
Source: Berylls Strategy Advisors, Autovista24, part of the Autovista Group
The calculation is even more alarming when the initial incentives funded by taxpayers’ money are also taken into account. The current market & technology immaturity is turning out to be a gigantic value burn.
Just assuming the gap between the residual value developments of BEVs and petrol vehicles remains constant in the future, the additional value loss of all the 524,000 BEVs registered in Germany in 2023 in three years’ time compared to petrol vehicles will equal EUR 2.99 billion. The figure surpasses the total of German BEV tax incentives (BAFA environmental bonus) of EUR 2.4 billion for all eligible BEVs in 2023.
COMPARISON OF LOSS IN RESIDUAL VALUE FOR BEVS AND SUBSIDIES IN GERMANY
Excess in loss in residual value of BEVs outpaces environmental bonus in DE in 2023
Note: Excess in residual value loss as aggregation of excess loss of residual value per BEV to petrol (13%) of 524.000 registered BEVs at avg. list price of 43.529 EUR in 2023 in Germany
Source: Berylls Strategy Advisors, Autovista24, part of the Autovista Group
The value losses become even more apparent when comparing the residual values of similar BEV and ICE models:
Upfront price difference based on stock advertised on AutoTrader.co.uk
Source: autotrader.co.uk
In Germany, less than one third of new vehicles are bought by private customers. On the other hand, more than two thirds of all new cars are registered to corporate customers. The greatest share is the ‘true fleet’ segment, which comprises fleets of company cars, either for particular purposes or as an employee incentive. The second biggest segment comprises vehicles registered for tactical reasons by OEMs or their dealer networks, which are typically brought to the market later with discounts. Rental fleets also make up a relevant part of the total fleet.
Sales Split per channel in Germany in 2023 Total vs. BEV only
Source: Berylls Strategy Advisors, KBA
According to information from Dataforce, there was a setback in electrification following the final ending of the environmental bonus (BAFA) in 2023. During the last few months, the bonus was only eligible for private customers, which explains the decrease in the corporate segment. In the private market, the BEV-related share of new registrations fell from 35% in December 2022 to just 11% in December 2023. The share of BEVs in fleet registrations also remains at a low level.
BEV trend in vehicle registrations over the last 24 months in Germany (in thousand)
Source: Dataforce
A large number of these vehicles are sold via lease contracts that are typically returned to the leasing company at the end of the contract. Based on information from Dataforce, in 2023, 29% of private BEV customers opted for a leasing offer while the overall share of private customers taking the leasing option was only 7.2%. In the fleet segment, the majority of vehicles are bought via lease contracts.
In total, that leaves a majority of the residual value risk accumulating with the financial services companies of OEMs (Captives) or independent (Non-Captive) leasing companies.
Automotive dealers and OEMs are therefore currently seeing a drastic decline in demand for used BEVs, which is placing further pressure on resale values. As long as residual values continue to decline, it is hard to make a positive business case for buying a new or almost new electric vehicle due to this value loss. Even the cheaper cost of operation – drastically depending on actual cost for electricity – cannot compensate for this loss.
In an interconnected model, these factors also have an impact on demand and the sales prices of new BEVs.
Looking at the current price discounts for new BEVs in Germany, it becomes apparent that OEMs and dealers will need to continue discounting BEVs in order to stimulate at least a certain level of demand. A recent analysis presented by the German newspaper Auto Motor und Sport based on price data from leading automotive platforms (carwow.de, meinauto.de, neuwagen24.de) shows that in January 2024 the average discount was 18% compared with an average discount of 21% in 2023. This point is especially interesting as environmental subsidies (BAFA) were terminated at the end of 2023. Therefore, OEMs and dealers within the German market are giving discounts at their own expense to offset the lack of a government bonus.
Discount comparison for selected BEV models in the German market
Source: carwow.de, meinauto.de, neuwagen24.de; all figures are rounded; last update: January 2024
From our perspective, there are several trends that reinforce one another, limiting the attractiveness of owning a BEV and potentially leading to a carnage in the BEV market in the coming months:
Overall, the outlook for OEMs, their Captives, leasing companies, and auto dealers can appear rather daunting in the next few years with regard to electrification. In order to stay profitable in the BEV market going forward, we at Berylls see several levers that need to be utilized in order to be successful. In our upcoming series, we will further deep-dive into these fields.
Featured Insights
n 2023 the hype around artificial intelligence (AI) and specifically GenAI reached its peak.
This can be seen in 2 major aspects. First, the valuation of leading AI companies like Microsoft or OpenAI went through the roof. OpenAI is in early talks to raise a fresh round of funding at a valuation at or above $100 billion¹. Second, the high number of projects that have been launched in the automotive industry across the entire value-chain created a high demand on AI expertise. Companies formed teams or complete organizations defining hundreds of use cases for launching pilot projects to increase the customer experience, create efficiency or support other strategic goals in their company & product strategy.
Berylls Digital & Technology serves as the center of competence AI within the Berylls group. Therefore, we are leveraging AI for our own business, working with customers on projects and observing market developments closely. Over the last 12 months we saw that companies tend to be more cautious with the implementation of GenAI at the beginning. While early pilot projects are often rolled out with standardized services of business software providers, e.g. copilots, later stage GenAI use cases are more customized and developed inhouse or with in cooperation with partners to target specific problems.
Successfully navigating through a plethora of potential use cases as well as implementing the most impactful ones necessitates a robust validation process and significant organizational change. The pace and extent of these transformations are influenced by a company’s strategic decision to either lead as an innovator and first mover or to adopt a fast follower approach. Drawing from this study and our experience in client engagements, we advocate for at least being an early adopter, particularly in integrating Copilots into standard enterprise software. Our observations from numerous projects highlight an immediate beneficial impact: the license costs per user are quickly offset by short-term efficiency gains. Proper integration and customization of these tools within existing processes can further enhance productivity and reduce labor requirements in specific roles.
At Berylls, we specialize in guiding automotive car makers and suppliers through their journey from initial exploratory ideation to becoming efficient, scaling organizations. Indeed, the potential of AI is immense in multiple fields of application, yet we also see a significant number of failed pilots & projects through our work with clients. We will discuss the reasons for failing in AI use cases in another Berylls insights edition in more detail. However, in this article we want to set the focus on an area where AI delivers a significant improvement on speed and efficiency for coding projects: The usage of GitHub Copilot by Microsoft in “real” software development projects.
The automotive industry is spending over 4 billion euros annually due to poor vehicle launches caused by ineffective project management, missing information, and late execution of measures. As a result, many vehicle launches end up in task force mode. Properly managing these task forces in stressful situations requires full focus, which is why efficient collaboration is essential. Nonetheless, modern processes are complex and multilayered dependencies across departments pose information asymmetries, leading to the distribution of outdated information and time inefficiencies.
Leveraging our decades of experience in managing task forces at Berylls, we have developed a solution to overcome these challenges. Together with our software development partner Avochoc, Berylls is launching “elyvate”, a digital task force solution custom-built for the automotive industry. This is our digital approach to optimize performance in project and shop floor management.
Our software as a service (SaaS) solution is the next level of task force management and focused on user-friendliness as well as simplicity, ensuring an intuitive experience. elyvate is designed to integrate seamlessly into your workflow, enhancing efficiency without the complexity. It offers an all-in-one reporting solution that includes automated KPI and measure tracking to optimize performance in project and shop floor management. elyvate allows to digitally steer task force projects with ease, proactively plan and follow up on KPIs, implement measures, as well as most importantly, track their efficiency.
Source: Berylls Strategy Adivsors
Through “elyvate”, Berylls provides our customers with a tool to address these challenges.
During the development phase we jointly decided to leverage AI development support tools as far as possible, not only to make the process more efficient but also to get hands on understanding of the advantages and challenges of these.
Using AI tools in a business context needs clear and robust legal governance model for using such applications. Particularly AI usage must comply with applicable laws and regulations as well as aspects like intellectual property (IP), data protection (GDPR), and business secrets become critical. We will cover this in detail in our latest newsletter. This is especially challenging since the local / regional regulations are just being updated to reflect the questions in IP and data protection.
Today we want to share our experiences leveraging GitHub Copilot by Microsoft.
Our experiences with GitHub and AI features:
Coding can often be a laborious and lengthy process. Nowadays, developers are perpetually seeking innovative methods to enhance their productivity, precision, and efficiency in programming. One tool of choice for development teams is GitHub.
GitHub is an AI-powered developer platform that allows developers to create, store, and manage their code.² Features like access control, bug tracking, software feature requests, task management, continuous integration, and wikis are included in the software. Acquired by Microsoft in 2018, the platform is now used by more than 50,000 organizations and 1.3 million paid subscribers, representing the most broadly facilitated AI developer tool worldwide.³
Introduced in late 2021, GitHub Copilot represents one of the latest innovations by GitHub. Marketed as an ‚AI pair programmer‘, Copilot employs AI to auto-generate code within your editor. It is accessible as an extension for Visual Studio Code, the JetBrains IDE suite, and Neovim, broadening its usability across different development environments.
GitHub Copilot is an innovative AI tool driven by OpenAI Codex, designed to improve the coding experience for developers. Its primary function is to propose code snippets based on the context within the file, such as function names, code comments, docstrings, file names, cursor position, and more. By simply pressing the Tab key, developers can accept these auto-generated proposals, which are derived from open-source code within GitHub’s public repositories. This AI tool is proficient in numerous common languages including TypeScript, Python, JavaScript, Ruby, among others.
One of the key aspects that sets GitHub Copilot apart from similar tools is the level of control it offers to the users. Unlike other products, GitHub Copilot empowers the user with the flexibility to accept or reject code suggestions, manually modify them, and explore different alternatives. As the user interacts with the tool, it gradually adapts to the coding style, leading to progressively refined and relevant suggestions over time.
A distinctive feature of GitHub Copilot, further differentiating it from other solutions, is its ability to comprehend natural language, encompassing both programming and human languages. This feature is especially beneficial for developers working with unfamiliar frameworks and libraries, as Copilot can navigate through open-source documentation quickly, reducing the need for manual searches.
To maximize the benefits of GitHub Copilot, it is recommended to divide the code into smaller functions, write effective comments and docstrings, and use meaningful names for function parameters. These practices aid Copilot in understanding your intent more accurately.
However, it is important to note that GitHub Copilot does not generate flawless code. While it strives to comprehend the developer’s intent, some proposals may not function as expected or even make sense. It does not test any of the code it suggests, which means the suggested code might not compile or run. Therefore, developers still need to meticulously review and test the code before assuming it’s usable.
In general, GitHub Copilot is likely the best autocomplete tool available, offering a wide array of solutions to problems beyond basic suggestions. The variety of proposals for a code snippet is impressive, often reducing the need to consult external sources like Stack Overflow.
Despite its capabilities, it is crucial to understand that GitHub Copilot is merely a tool and far from replacing human developers. You cannot depend solely on Copilot, and it is still up to the developer to accept the suggestions and make necessary modifications.
Let’s delve deeper into different examples:
GitHub Copilot is able to transform your comments into usable output (executable code), similar to the ChatGPT overlay. Simply by writing a prompt that describes the desired logic, Copilot can automatically generate code suggestions based on that description. As a programmer, you can then easily accept these suggestions with a press of the Tab key.
Consider, for instance, you are crafting a Python function and have included a comment detailing its intended functionality. For Copilot to generate high-quality code proposals, it is vital to write clear and precise comments and docstrings. Ambiguous or poorly written comments can pose a challenge for Copilot in accurately grasping your intended functionality.
GitHub Copilot can immensely cut time spend for coding, especially when it comes to speeding up the writing of repetitive code segments. When dealing with large blocks of standard code, simply providing a few examples of the desired pattern is enough. Copilot then efficiently handles the rest, streamlining the coding process.
As previously stated, GitHub Copilot does not perform testing on the code it generates. Nonetheless, it can be used to recommend tests that are compatible with your code implementation. This provides an effective way to quickly incorporate a test unit package. While it is still necessary to verify the logic and functionality of the code, using Copilot for this purpose offers a faster option compared to writing the test code entirely on your own.
This scenario is perhaps the most effective use of Copilot. It acts as a crucial aid for developers using an unfamiliar language or framework. Imagine, for example, you wish to create a specific function in a new programming language. The approach to coding can vary greatly based on the language you are using. Even if you have some proficiency in this new language, the autocomplete feature of Copilot remains a significant time-saving tool.
Our experienced developers have found great value in using Copilot while delving into languages they are not familiar with. Although Copilot’s suggestions may not always be perfect, they often accurately capture the basic syntax. Furthermore, it guides users towards common programming idioms, library functions, and more. Copilot can even function as a self-teaching tool for programmers, aiding in their learning process.
Developers frequently know precisely what needs to be done but sometimes overlook the finer details of the process. For example, they might need to normalize matrices or create complex functions with particular parameters. Copilot’s autocomplete feature enables developers to concentrate on the method, while Copilot handles the completion of the code. This capability saves developers valuable time, as they do not have to consult books or websites to look up methods.
Since copilot makes use of a lot of historical data, it also has an in depth understanding on which tools developers use. As tech evolves, so do the tools the developers use. Generally, the way of accomplishing certain tasks stays relatively consistent, with small changes in function names or syntax. As Copilot has insight to this, it can generate the correct code if guidance is given.
Much of the functionality in the software realm is possible, because computers adhering to specific sets of rules for communication, commonly known as protocols. Among the most prevalent protocols are RADIUS (for your ISP to grant internet access), CSMS (to communicate with electric vehicles), TCP/IP (for reliable data transmission over the internet), etc. While these protocols are thoroughly documented, they often encompass hundreds of pages, necessitating extensive reading for developers to implement them. Copilot, however, can adeptly predict the methods developers should use and accurately assist in implementing these protocols.
As copilot has context of the code, it is able to correctly predict which functions and variables need to be used for the next part of the code. This assists developers by reducing cross referencing in their own code base, allowing the development to be streamlined.
Hands-on Insights:
While it is not strictly necessary to do this before using Copilot, it is highly beneficial to define the purpose and objective, especially if you are new to the tool. Avoid diving into GitHub Copilot with a “let’s just see what happens” attitude. This could lead to confusion and prevent you from fully utilizing the tool’s capabilities. Once you have determined how you intend to use Copilot for your upcoming project, the subsequent steps will be much simpler.
Many coders utilize GitHub Copilot when they have a clear picture of what they want to create but might need to deal with a programming language they are not familiar with. Copilot then assists them in getting the syntax correct and understanding basic library functions.
GitHub Copilot is not a standard feature of many programming platforms and their editors. Therefore, you will need to register and install the extension before you can begin using it. The platform offers different subscription packages⁴, choose which option suits your needs best.
After installing the extension, Copilot will ask you to authorize the plugin by logging into GitHub. Once authorized, you should be automatically redirected back to the editor.
As you write, GitHub Copilot will start to automatically suggest autofill options based on the context. It is your decision whether to accept or reject these suggestions. If you are not satisfied with what Copilot is suggesting, you can always view other suggestions to see if they are more applicable.
It may take some time to get used to Copilot, but with more usage, you will become more comfortable with the suggestions as well as the Copilot building those based on your objective.
As mentioned earlier, Copilot is not flawless. Therefore, you cannot blindly accept the suggestions and assume they are perfect. You will probably need to make adjustments to the code. As always, you should run tests before incorporating the code into your project.
GitHub evaluated Copilot’s accuracy by reviewing a set of Python functions in open-source repositories. They removed the function bodies and asked Copilot to fill them in. Copilot correctly completed the functions 43% of the time on its first try. When Copilot was given 10 attempts, the code was correct 57% of the time.⁵ Our experiences were slightly better but still manual checks and adaptations are a must do.
While copilot can drastically improve a developer’s workflow, as it really shines with trivial repetitive tasks, this only holds when a developer can properly guide it. Copilot cannot solve new problems, but it can save hours in repetitive tasks and documentation reading.
Since the tool is always trying to suggest potential edits based on the code you build, it might not unleash its full potential. For example, in the hands of a strong developer, copilot is a tool that will save the developer hours of time. In the hands of an inexperienced developer, the suggestions may be unsecure and may cause the developer to take longer to complete a task as they would need to do more debugging than usual.
As the AI tool is trained with public data and code, discussions arose about potential copyright / IP infringement by GitHub CoPilot over the last months in the US. Dating back to a claim from November 2022, a judge looked into these claims which will have a significant impact on GitHub and other AI large language models (LLMs), but potentially also your generated code by the Copilot.
These claims represent developers’ allegations of the algorithmic reproduction of their source code by CoPilot, filed against GitHub, OpenAI, and Microsoft. Some cases have been dismissed, yet there is still a high risk of infringement. In fact, the judge allowed three damage claims so far, which gives room for more as well as anticipated changes to the services of Copilot in the future.
Do not miss this opportunity to revolutionize your business with AI technology! Take the first step towards a transformative journey and discover how our cutting-edge automotive reference projects at Berylls can enhance your business processes. Act now and contact us to explore a world of possibilities with AI – Let’s innovate together.
For more insights go to:
We will cover governance models for AI usage in business context in detail in our latest newsletter.
About AvoChoc
At AvoChoc, since our inception in 2015, we have been dedicated to delivering unparalleled digital experiences that captivate audiences and elevate businesses across diverse sectors. Our expertise in experience development, blending artistic vision with technological prowess, allows us to create exceptional web designs and complex systems. Our diverse portfolio includes work in education, medical, children’s development, coding for kids, manufacturing, clean energy, electric vehicles, sports, and private security, highlighting our versatility and commitment to innovation.
We extend our services beyond technical solutions, providing business consulting and boasting an in-house team of UI/UX designers. This ensures holistic insight and design excellence in every project. Our dedication to exploring the latest tech, frameworks, libraries, and languages keeps us at the forefront of technology, enabling us to offer the most advanced and effective solutions to our clients.
About Berylls Digital & Technology
The Berylls Group unites expertise in strategy consulting, data-driven marketing transformation, venture building and equity investing. We focus exclusively on what we call the global automobility sector – because we believe that today’s automotive industry is about much more than the manufacturing and selling of cars.
Berylls Digital & Technology, for instance, is dedicated to the digital consulting & project execution and scaling of digital products. Our two focus areas are consulting in the area of software-defined vehicles (SDV) and the execution of software taskforce projects, safeguarding projects that are in distress. With our strong set of external partners, we are uniquely positioned to serve our customers, “but different”.
Our focus on digital innovation and its commitment to driving advancements in the automobility sector demonstrate our role as a transformative force in this industry, particularly through our technological and digital offerings.
Notes:
¹ Bloomberg: https://www.bloomberg.com/news/articles/2023-12-22/openai-in-talks-to-raise-new-funding-at-100-billion-valuation
² Wikipedia: https://en.wikipedia.org/wiki/GitHub
³ Microsoft: https://www.microsoft.com/en-us/Investor/events/FY-2024/earnings-fy-2024-q2.aspx
⁴ Github: https://github.com/features/copilot/plans
⁵ Medium: https://medium.com/codex/what-is-github-copilot-6c3e99ba7c41
Featured Insights
here is a lack of employees for the transformation towards e-mobility. Generative AI has the potential to close this gap and reduce costs at the same time.
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