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Lenovo Excels in Supply Chain Planning with a Hybrid Approach
Published
2 ans agoon
By
Jack Fiedler, the vice president for digital transformation of the global supply chain at Lenovo
Lenovo is ranked tenth by one leading analyst firm among a list of global companies with exceptional supply chains. Based on an interview with Jack Fiedler, the vice president for digital transformation of the global supply chain at Lenovo, the word “exceptional” certainly applies. I’ve not seen a company that does a better job of agile planning across an end-to-end, multi-tier supply chain.
Lenovo is a multinational company listed on the Hong Kong Stock Exchange. The company, which achieved $ 57 billion in revenues in its last fiscal year, is the leading global supplier of PCs. The high-tech firm is more than a manufacturer of PCs, tablets, smartphones, and servers. In their last quarter, the division selling personal devices accounted for only a bit more than half of global revenues.
The company has more than 2000 suppliers and operates over 30 manufacturing sites. Factories serve local markets. During COVID, this more agile and resilient model allowed the firm to grow their market share.
The following interview was edited for conciseness.
Steve Banker: Maybe you could start by talking a little bit about the Lenovo supply chain and what makes it distinctive.
Jack Fiedler: We’re unique in the technology industry. We run one of the few truly hybrid supply chain networks. We own a significant portion of our network, but we also work extensively with partners. A lot of our competition has largely outsourced their supply chain.
We decided 8 or 9 years ago that to create a competitive advantage, we really needed to control much of our supply chain. That has worked out well for us.
We’ve taken the same hybrid approach from a supply chain technology perspective. We have a lot of in-house solutions that we’ve built for our digital transformation, which is my area of expertise. I’m responsible for the overall digital transformation, including technology. But then we also partner with Blue Yonder and others.
We put a huge amount of focus on digitalization, as many companies have. But I think we’ve taken it to a more extreme level.
We invest a huge amount of time and resources into our people and making sure that we have the best digital talent in the industry and that we’re doing the most innovative things in the supply chain.
Banker: You mentioned an approach to digitalization that’s both in-house as well as being reliant on external software partners. Could you talk more about that?
Fiedler: I’ll start with Blue Yonder, because Blue Yonder truly is the foundational building block for our supply chain intelligence.
We’ve been using Blue Yonder for many years. We have evolved Blue Yonder from being a traditional demand and supply planning solution. We’ve done a lot of customization, with Blue Yonder’s help, to create a digital twin of our entire supply network. We’ve moved from weekly supply collaboration with suppliers to daily.
We have all our factories, both in-house and outsourced, all of our distribution centers, and our transportation network on the Blue Yonder foundational system. We now have complete visibility of our supply chain. And then we’ve layered our own AI on top of that, which allows us to simulate the entire supply chain.
We can run a plan simulation to maximize revenue, maximize shipments, maximize the customer experience, or minimize transportation costs. We’ve now built this AI capability to simulate the entire supply chain. This was a huge effort, but it has been very valuable.
We have continued to build on that foundation. Just last year we finished integrating the sales process into the end-to-end supply chain process. A seller, from the moment they engage with a customer, and all the way through the sales process, can get whatever information they need to communicate with a buyer on what we have available, and what the lead times are, and other similar information. This starts with the initial discussion about what kind of products are available and how the product will be configured. Then a simulation is run and we get an estimated date for delivery. Once a contract is in place, we have real-time visibility on the delivery status. This includes visibility to emerging supply chain constraints. During COVID constraints were popping up all over the place. An iGPU (integrated graphic processing unit) is a current example. Everybody wants to know what the lead time on iGPUs are, and what the alternatives are if they are not available.
We’ve used the Blue Yonder technology, and that digital twin of the network, and the simulations we run, to give the sales team full visibility as to what is available and when it can be delivered. The sales team can go have those conversations, with real-time lead times and even the factory the product will ship from, with customers.
This has been a real game changer for sales. It’s really reduced a lot of sales friction. It used to be that a customer would ask questions, then sales would have to go to the supply chain organization, and we’d have to get that information, and back and forth it would go.
We’ve connected the supply chain end-to-end and made it intelligent. That is what everybody’s trying to do, but we’ve done it from the beginning of a sales opportunity all the way to the delivery of a shipment.
That was made possible because of this investment we made with Blue Yonder and our investment in building our simulation capabilities in the digital twin.
The second thing we’ve done, and this is our most valuable asset, is that 7 years ago we made a big investment in our own intelligence platform we call supply chain intelligence. It started out as a traditional control tower. But then it very quickly evolved into a full intelligence platform.
We have benchmarked our SCI (Supply Chain Intelligence) solution; we looked at all the solutions in the industry. We don’t believe anybody has anything as comprehensive as what we built in-house. We run the entire supply chain from this intelligence platform.
We have full visibility. We have all the connected planning data we get from blue Yonder, all of the product data we get from the product systems, all of the shipment information that’s coming in from the carriers, as well as risk information from Everstream and other sources.
We have complete visibility of the performance of the entire supply chain in one tool. But it’s not just a visibility platform. It provides risk alerts, decision-making, and automation. As an example, if we have congested lanes, the system will automatically flag that we have a potential risk of delay based.
The platform will look at all the potential alternatives and the cost of those alternatives, and it will make a recommendation for a supply chain person to go in and look at the event. That planner can choose to reroute a shipment so that it doesn’t get delayed.
To build this took seven years and a significant investment . This was meant to be an internal tool for Lenovo. But we’ve now got customers that are starting to lease this technology from us.
We are continuing to invest in the solution. We are working to make the platform more autonomous. For example, we’re working on telling the solution that it has a budget. “You have a budget of $5,000,000 and here are some other parameters. Show us the best way to fix the freight delays!”
The AI looks at the potential alternatives and the trade-offs and then spits out an answer. That frees up the logistics team to go work on even more difficult problems.
When the chief supply chain officer wants to review the performance of the supply chain, we start with the KPI dashboards. Then, the tool drills down and looks at real-time performance on late orders or parts. It might highlight logistics jams, manufacturing capacity, quality issues, or procurement cost trends. Really, everything you need to manage the supply chain. This is so much more than a control tower.
Banker: Can you speak in a bit more detail about what you are doing around artificial intelligence?
Fiedler: We have built a number of AI use cases over the last four years that we’ve embedded into the tool. The first wave of those was made possible because of the foundational digital twin capability work that we did with Blue Yonder.
Advanced demand forecasting based on machine learning, for example, is a classic example of the use of AI in supply chain management. But we have taken machine learning further than this.
During COVID there were so many part shortages. We struggled to figure out what we could build and, then, beyond this, what should be built based on optimizing for either cash or revenue or customer satisfaction or other things as well.
Banker: Was this based on a series of Bill of Materials explosions?
Fiedler: Yes, that is exactly what it does. It takes the demand that we have, it takes the orders that we have, it takes the BOMs on those orders and then compares it against the digital twin of the supply chain and says, “What do we have right now? What can we make? And based on our objectives, what should we make?”
And this is not just a solve done at the plant level. A lot of companies can do that. This is a network solution based on the centralized supply visibility and management. It can involve moving parts from plant A to plant B, for example.
We are also using AI to help with customer allocation issues. When critical components are in short supply, it can end up being whichever customer screams the loudest that gets prioritized. That’s not a sustainable way to manage supply issues.
We used AI to create smart allocation. Basically, this allows us to say, “OK, if we want to reprioritize our order stack, what are the impacts if we move customer C from slot 8 up to slot 2? How will that impact other customers? How will it impact our supply chain?
It took a very chaotic area and helped create order. We can now have really good data-driven conversations. The sales team can now make better trade-off decisions involving their customers.
We also recently created a machine learning capability that helps us better predict when suppliers will make deliveries to us. During COVID, all of our suppliers got very conservative because all their suppliers got very conservative. The accuracy of the delivery dates we were getting went way down. Basically, we use AI to go say, “Who’s hedging?”
There was unpredictability during COVID from key suppliers on shipment dates due to the dynamics everyone was trying to navigate. Using AI, we were able to predict when the delivery would occur. This allowed us to plan our manufacturing capacity more effectively.
Banker: You know, if you were to talk to Blue Yonder, they would say they’re investing in the same sort of things that you’ve invested in. So why do it yourself?
Fiedler: A couple of reasons.
Lenovo is a large global business and with that comes some complexity for supply chain software solutions companies. We have many products, many different bill of material structures, and many different business models. We operate in many countries. Supporting the complexity of the business in somebody else’s tool is difficult.
And while supply chain solution vendors are building some of these capabilities, they can’t match all the things that we could do ourselves, or the speed at which we can do them.
We do use their technology and where it makes sense, where they’ve invested in it, we will leverage their capabilities. We practice a hybrid model – we use what the supply chain vendors are really good at, and then we add to it.
Lenovo has a huge research team. Thousands of AI data scientists work for us. Some of these data scientists are among the best in the world. We’ve got the ability to build this stuff very quickly with our own skills.
I’ll give you an example. If we want to change the machine learning algorithm three times a day, based on new information we’re getting from the sales team or suppliers, we can go do that. When you’re working with a partner, and using their technology, that’s much, much more difficult to do.
And so, I think just the bottom line is that the size and scale of our company allows us to make choices surrounding AI other companies can’t make. To be as responsive, as agile, and as innovative as we want to be requires us to use a hybrid model.
Banker: Jack, thank you so much. This is fascinating! I could talk to you for hours.
Fiedler: Thank you.
The post Lenovo Excels in Supply Chain Planning with a Hybrid Approach appeared first on Logistics Viewpoints.
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Transpac peak may stretch on even as Asia – Europe ocean cools – August 6, 2026 Update
Published
19 heures agoon
7 août 2026By
Weekly highlights
Ocean rates – Freightos Baltic Index
Asia-US West Coast prices (FBX01 Weekly) decreased 1%.
Asia-US East Coast prices (FBX03 Weekly) stayed level.
Asia-N. Europe prices (FBX11 Weekly) decreased 1%.
Asia-Mediterranean prices (FBX13 Weekly) decreased 2%.
Air rates – Freightos Air Index
China – N. America weekly prices decreased 2%.
China – N. Europe weekly prices increased 5%.
N. Europe – N. America weekly prices decreased 2%.
Analysis
After weeks of violent escalations in US-Iran tensions surrounding the status of the Strait of Hormuz, Iran and Oman may soon announce a bilateral agreement to reopen the waterway.
The deal would open the Hormuz – without tolls or fees on transiting vessels – for sixty days, with ships entering the Persian Gulf in coordination with Iran along the northern lane, and exiting in coordination with Oman via the southern lane.
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Following the failed June Memorandum of Understanding, this agreement – which may not go into effect immediately and may be contingent on the US removing its blockade of Iranian ships – will attempt to create enough stability for renewed US-Iran negotiations toward an end to the conflict. But, by validating Iranian control over the strait, the deal would mark a significant de facto concession to Iran – despite serious earlier opposition from both the US and multiple Gulf states among others – and change to the pre-war status quo.
If the strait is reopened, the rebound in traffic will be gradual and, with the main central channel still closed due to Iranian mines, may not recover to normal levels under the new arrangement.
For the container market, more vessels will exit than enter at first, with long haul ships likely to stay away until carriers are confident this ceasefire is stable. The reopening should also ease some of the strain on the landbridge alternatives in the region, though carriers may be hesitant to send feeder vessels into the Gulf at first as well. If the reopening goes smoothly and contributes to progress in US-Iran negotiations – and if developments include a Saudi Arabia – Houthi deescalation – carriers may resume earlier cautious moves back toward Red Sea transits as well.
The biggest impact of a Strait of Hormuz reopening for logistics would be on oil prices. Crude prices had eased back to pre-war levels when the ceasefire took hold in late June and early July, but then shot up 35% and past $90 a barrel by late July. The recent de-escalation has prices down 18% since late July – only 10% above the baseline – and a reopening should push prices lower. Bunker prices that climbed 16% since early July have leveled off over the past two
weeks but are still 50% higher than before the start of the war. The resumption of crude flows should start putting downward pressure on refined products like bunker and jet fuel too, though the effect may not be immediate.
Even if oil prices ease in the near term, peak season supply-demand dynamics – not fuel costs – are the major drivers of container spot rate behavior for now.
Ocean peak season started early this year, with surging demand consistently pushing rates up across the major east – west lanes from late May through early July. BAF increases and manufacturer price hikes set for Q3 drove some of the frontloading, with some US shippers pulling peak season orders forward ahead of a late July tariff deadline.
But since early July – and despite planned GRIs and PSSs including for August 1st – rates on most of these lanes have eased or at least leveled off, suggesting that the frontloading-driven peak season rush was cooling earlier than usual too.
Asia – Europe rates decreased slightly last week, but dipped by another $500/FEU so far this week. Asia – N. Europe prices of about $5,000/FEU are down 14% from their July peak, with Asia – Mediterranean rates at $6,000/FEU, 16% below the July peak and about back to mid-June levels. Some carriers have additional significant increases slated for mid-August, but rate behavior over the last few weeks and reports of easing demand and increases in blanked sailings may make rate increases unlikely.
On the transpacific, East Coast rates have been stable at their peak level of about $9,000/FEU since early July. West Coast rates reached a peak of more than $7,500/FEU in early July and through last week had eased about 20% to around $6,000/FEU.
But West Coast daily rates so far this week have jumped back above $7,000/FEU on August 1st GRIs. NRF US ocean import volume projections last month estimated that demand in August would be well below July levels. But steady East Coast rates together with some forwarder reports of surprisingly strong demand and this recent West Coast rate bump may indicate that peak season strength is lasting longer than anticipated on the transpacific.
If these rate increases stick – or climb even higher on August 1st GRIs of $2,000 – $3,000/FEU – experts are offering multiple reasons for why peak demand may be holding up past the frontloading deadlines, including unexpectedly low inventory levels and stronger than anticipated consumer demand.
Another reason may be that the July 24th tariff deadline did not result in sharp tariff hikes. Many US shippers were frontloading peak season volumes ahead of the Section 122, 10% global tariff July 24th expiration date out of concern that duties could be higher soon after. Instead, Section 122 tariffs were immediately replaced by Section 301 tariffs on more than sixty trade partners – aimed at curbing forced labor imports – of 10% to 12.5% or about even with the expiring duties.
The USTR recently stated that its 301 investigation into excess manufacturing capacity by sixteen of the largest US trading partners is nearing completion. These tariffs could raise duty levels back to those set using IEEPA. But even once the USTR shares its findings, it will take several weeks before the president could implement the recommendations. This gap may be extending tariff frontloading by some shippers, likewise contributing to a longer than expected transpacific peak.
Finally, for all lanes – including Asia – Europe trades where consensus is that demand is cooling – rates may be facing upward pressure from supply side constraints as well, since two major typhoons struck Far East ports over the last few weeks. Typhoon Noul shut down ports in southern China in late July as regional hubs were still recovering from a mid-month storm. Some carriers are now skipping Shanghai port calls as congestion remains severe there, with multi-day delays also reported in Ningbo, Shenzhen and Hong Kong.
In air cargo, some carriers have announced increases in fuel surcharges for August as jet fuel prices that have leveled off in the last couple weeks remain 33% higher than a month ago. For now though, global prices have continued their slow season slide with the Freightos Air Index global benchmark down 8% compared to the end of June.
China – US rates eased 2% last week to $5.67/kg. And though China – Europe prices climbed 5% to $4.02/kg last week, they remain more than 10% lower than a month ago, as the end of de minimis in the EU has led to lower volumes and rates on this lane even as carriers shift capacity to higher demand origins like Taiwan, where AI hardware is keeping volumes elevated.
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Supply Chain and Logistics News Round Up of the Week (August 4th-7th 2026)
Published
20 heures agoon
7 août 2026By
The global supply chain landscape is transforming before our eyes this week, marked by a dual focus on radical simplification and high-frontier innovation. While automotive giants like BMW and Ford are aggressively stripping out complexity to safeguard margins in an era of tightening trade rules, aerospace leaders SpaceX and NVIDIA are looking skyward, positioning AI compute payloads in orbit to redefine real-time logistics visibility. Yet, this push for efficiency is unfolding against a backdrop of intense regulatory volatility, as evidenced by a massive 25-state legal challenge to new Section 301 tariffs. Amidst these shifting currents, PepsiCo’s latest economic data provides a stabilizing perspective, demonstrating how deeply embedded sustainability practices are no longer just ESG milestones, but essential drivers of long-term network resilience and growth.
The Biggest Supply Chain Stories of the Week:
European Trade Rules and Margin Squeezes Force BMW into Deep Restructuring
Automotive leaders in Europe are confronting structural margin compression alongside tightening regional content rules, as highlighted in a recent analysis of BMW’s European automotive supply chain restructuring. Following a sharp drop in second-quarter deliveries in China and a reduction in projected 2026 automotive margins, operations are pivoting toward flatter administrative structures, reduced model variations, and streamlined engineering processes. Concurrently, European policy proposals establishing high “Made in Europe” local-value thresholds are transforming vehicle origin verification into a complex multi-tier tracking requirement. For tier-one and tier-two component suppliers, this regulatory transition demands granular visibility into raw materials, battery cell origins, and software value addition across global production networks.
2SpaceX and NVIDIA Collaborate to Position AI Compute Payloads in Orbit
In a deployment aimed at processing complex global data near its physical source, aerospace and technology developers are partnering to build orbital compute infrastructure. Detailed in an evaluation of SpaceX and NVIDIA’s orbital AI infrastructure initiative, future satellite constellations are planned to carry standardized hardware capable of executing machine learning models directly in space. By filtering atmospheric imagery, ocean vessel positioning, and infrastructure data before ground transmission, orbital edge computing aims to reduce bandwidth bottlenecks and accelerate signal processing. For supply chain visibility networks and risk-management platforms, this architecture points toward automated exception detection where satellite nodes directly output machine-readable event alerts to ground-based transportation management platforms.
Ford Cuts Product Complexity to Drive Low-Cost Vehicle Economics
Automotive manufacturing models are undergoing significant simplification to lower capital intensity and improve production economics. As examined in a strategic review of Ford’s platform simplification and manufacturing model, major vehicle OEMs are paring down low-margin derivative models to concentrate volume around a smaller selection of core platforms. By decreasing overall component counts, minimizing assembly touches, and standardizing structural chassis designs, manufacturers aim to reduce inbound freight complexity and eliminate points of failure along the assembly line. This shift integrates mass customization into the customer ordering interface rather than the assembly stage, allowing logistics operators to streamline tier-one supplier scheduling and maintain lower safety stock cushions.
25 States Sue Trump Over Section 301 Forced-Labor Tariffs
A coalition of 25 states has filed a lawsuit in the U.S. Court of International Trade challenging the Trump administration’s newly imposed Section 301 tariffs on 60 trading partners—including China, the EU, Canada, and Mexico—which levy duties of 10% to 12.5% under the explicit banner of combating forced labor. The suit argues that forced labor is a pretextual workaround to replace broad tariffs previously struck down by the Supreme Court under the International Emergency Economic Powers Act (IEEPA), highlighting that the U.S. Trade Representative failed to link tariff rates to actual forced-labor prevalence, ignored public testimony, and established no remedial path or off-ramp for compliant nations. Coming on the heels of similar litigation from commercial importers, this legal battle underscores continuing trade policy volatility, leaving procurement and logistics operations to navigate ongoing cost uncertainty, administrative stays, and potential duty refund scenarios.
PepsiCo Links Sustainable Practices to Supply Chain Growth
A new economic impact report from PepsiCo, verified by Oxford Economics, underscores how embedding sustainable practices into upstream operations drives macro-level supply chain resilience and broader economic stability. According to the analysis, the food and beverage giant supported nearly 440,000 U.S. jobs in 2024—adding roughly two external multiplier jobs across agriculture, logistics, and packaging for every direct employee—while contributing $64.88 billion to U.S. GDP. Beyond direct employment metrics, the report explicitly ties these workforce and operational nodes to long-term ESG milestones, highlighting how expanding regenerative agriculture across 4.7 million acres and reaching 100% water replenishment in high-risk watersheds safeguard essential raw commodity inputs against climate disruption. For enterprise supply chain strategists, PepsiCo’s data presents a clear business case for natural resource stewardship, proving that localized sustainability investments are vital risk mitigation mechanisms that secure supplier networks, stabilize tier-one communities, and protect core manufacturing throughput.
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The post Supply Chain and Logistics News Round Up of the Week (August 4th-7th 2026) appeared first on Logistics Viewpoints.
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BMW’s Job Cuts Reveal the Real Battle Over Europe’s Automotive Supply Chain
Published
2 jours agoon
6 août 2026By
BMW has spent the past several years looking like the most composed member of Germany’s increasingly unsettled automotive industry.
Volkswagen has been trying to shrink a cost structure built for a larger European market. Porsche has struggled with falling demand in China. Mercedes-Benz has been cutting costs and reconsidering the breadth of its vehicle portfolio.
BMW appeared to have given itself more room to maneuver.
It continued investing in electric vehicles without committing its entire future to a single propulsion technology. Its factories retained the flexibility to build combustion, plug-in hybrid, and electric models. Its premium positioning also offered some protection from the price competition consuming the lower end of the market.
That strategy has not failed. But it has not insulated BMW from the forces now reshaping the European automotive industry.
BMW said in late July that it would eliminate several thousand positions in Germany by the end of 2027 through a voluntary severance program. The cuts are aimed at administrative and development functions, not production workers. Reuters, citing a person familiar with the plan, reported that BMW’s global workforce could eventually decline by roughly 8,000 positions. BMW has not publicly confirmed that figure.
The distinction matters.
This is not simply another automaker cutting factory employment because demand weakened. BMW is taking a harder look at how the company is managed, how decisions move through the organization, and how much overhead is required to develop and sell a vehicle.
At nearly the same time, France, Germany, and the European Commission are moving toward a more deliberate effort to keep automotive production and component value inside Europe.
The two developments belong together.
BMW is trying to become leaner and faster. Europe is preparing to make automotive sourcing more regional, more traceable, and more closely tied to public policy.
The first effort may simplify BMW. The second could make its supply chain considerably more complicated.
BMW’s Margins Leave Little Room for Delay
BMW’s second-quarter results explain why management is prepared to revisit structures that once appeared permanent.
Group profit before tax fell 35.1% from the previous year to €1.697 billion. Revenue declined 7.9% to €31.259 billion. Within the automotive segment, earnings before interest and taxes fell 60.7% to €629 million. The automotive operating margin dropped from 5.4% to 2.3%.
BMW attributed the pressure to lower volumes, intense competition in China, currency movements, higher depreciation, commodity costs, and additional U.S. tariffs. Tariffs alone reduced the automotive margin by approximately 1.25 percentage points during the second quarter and first half.
The company has already been cutting spending. Selling and administrative expenses in the automotive business fell 8.3% during the quarter. But those reductions were not enough to offset the deterioration in the market.
China remains the most immediate problem.
BMW Group deliveries in China fell 30.2% during the second quarter, from 168,959 vehicles to 117,927. Deliveries were down 20.4% for the first half. Global second-quarter deliveries declined 4.9%, despite growth in Europe and the United States.
China once provided German premium automakers with a powerful source of volume, profit, and confidence. Those earnings helped finance large engineering organizations, broad vehicle portfolios, and the enormous cost of developing the next generation of vehicles.
That economic engine is becoming less dependable.
Chinese automakers are no longer simply lower-cost competitors. They are developing new vehicles quickly, integrating software effectively, and competing most aggressively in the electric-vehicle segments where much of the industry’s investment is now concentrated.
BMW has reduced its expected 2026 automotive margin from 4%–6% to 1%–3%. It now expects deliveries to decline slightly and group profit before tax to fall significantly from the previous year.
Those numbers turn the discussion from incremental improvement to structural change.
The Next Restructuring Will Reach the Office
BMW’s decision to focus voluntary departures on administration and development says a great deal about where management believes the company has become too heavy.
Automotive complexity accumulated over decades. New regions, brands, technologies, regulations, and vehicle programs created new processes. Those processes created committees, specialists, interfaces, and layers of management.
That structure was easier to support when margins were higher and China was growing. It becomes much harder to justify when an automaker must simultaneously fund combustion engines, plug-in hybrids, battery-electric vehicles, software platforms, batteries, and autonomous-driving systems.
BMW’s new CEO, Milan Nedeljkovic, has said the company will revisit processes and structures that were previously considered untouchable. The review will extend across sales, procurement, production, and development. BMW also plans to reduce some model variants where demand no longer justifies the complexity.
That may matter more than the final number of job cuts.
A company can remove thousands of positions and still leave the underlying work untouched. The remaining employees simply inherit the same reports, approvals, meetings, and handoffs.
BMW’s real challenge is to remove work from the system.
That may mean fewer model combinations, fewer approval layers, tighter engineering priorities, and a more direct connection between product decisions and supplier execution.
Artificial intelligence will have a role in document-heavy areas such as procurement, engineering support, finance, and compliance. But the technology is not the central story.
The real test is whether BMW uses it to eliminate steps and shorten decision cycles, or merely asks a smaller workforce to operate the same complicated organization.
Germany’s Supplier Base Faces the Harder Transition
BMW’s restructuring will attract attention because of the company’s size. The more severe adjustment may occur among suppliers.
The German Association of the Automotive Industry estimates that the country lost roughly 100,000 automotive jobs between 2019 and 2025. It projects that another 125,000 could disappear by 2035 under current conditions.
Suppliers are caught between two technology systems.
They must continue supporting combustion vehicles that still generate substantial volume and cash flow. At the same time, they must invest in electric drivetrains, battery systems, power electronics, sensors, software, and thermal management.
The old business is expected to decline. The new business often lacks the scale or margins to replace it.
Automakers also continue pushing suppliers for cost reductions while those suppliers face higher European energy, labor, financing, and regulatory costs.
This is why European suppliers are pressing for a meaningful definition of “Made in Europe.”
Their concern is not simply where final assembly occurs. A vehicle can be assembled in Europe while much of its battery, electronics, materials, software, and component value comes from elsewhere.
Europe retains the assembly jobs but gradually loses the industrial capabilities that determine where engineering expertise, intellectual property, and future investment reside.
“Made in Europe” Becomes a Supply-Chain Rule
The European Commission’s proposed Industrial Accelerator Act is an attempt to reverse that drift.
Introduced in March, the proposal would increase demand for European-made, low-carbon industrial products and strengthen capacity in strategic sectors. For the automotive industry, it would connect selected public support and procurement programs to European assembly, regional content, and critical-component requirements.
The proposal has not yet completed the EU legislative process.
According to the framework described by the European automotive supplier association CLEPA, a qualifying vehicle would need to be assembled in the EU and meet a 70% regional-content threshold. A separate 50% threshold for designated critical components would take effect three years after the final regulation is published.
The political logic is straightforward. Europe does not want public money intended to support European industry flowing primarily into imported batteries, electronics, and other technologies.
The supply-chain implications are much less simple.
A 70% threshold turns the nationality of a vehicle into a data problem.
Automakers will need to know not only where final assembly occurred, but where the value inside the vehicle originated. That may require tracing battery cells, power electronics, semiconductors, magnets, software, castings, and raw-material processing across multiple supplier tiers.
Most automakers have strong visibility into tier-one suppliers. Visibility further upstream is far less consistent.
A battery pack may be assembled in Europe using cells produced elsewhere, materials processed in another country, and electronic controls from a third. A semiconductor may be designed in Europe, fabricated in Asia, and packaged in another region.
Regional-content rules will turn those relationships into eligibility decisions.
Procurement teams will have to consider whether a sourcing choice moves a vehicle above or below the threshold and whether that affects access to public incentives or government purchasing programs.
The least expensive component may no longer produce the lowest total cost.
Europe Can Buy Time, Not Competitiveness
There is a legitimate case for protecting critical European industrial capabilities.
China has used coordinated investment, financing, infrastructure, procurement, and industrial policy to build strong positions in batteries, electric vehicles, critical-material processing, and solar technology. The United States has also become more willing to connect public incentives to domestic production.
Europe is responding to a world in which its competitors are already managing industrial outcomes.
But regional-content rules cannot solve BMW’s core operating problems.
They cannot shorten vehicle-development programs, improve software, eliminate unnecessary approvals, restore Chinese demand, or guarantee that a European supplier is globally competitive.
Industrial policy may create time, demand, and investment incentives. BMW still has to use that time well.
That is the tension at the center of the story.
Europe is trying to preserve the automotive supply chain from the outside. BMW is trying to rebuild its competitiveness from the inside.
Both efforts may be necessary. Neither is sufficient on its own.
The future of Europe’s automotive industry will not be determined simply by how many vehicles are assembled in Munich, Stuttgart, Wolfsburg, or elsewhere in the EU.
The more important question is how much of the vehicle’s value is created there.
Europe could retain assembly plants while losing batteries, electronics, software, semiconductors, materials processing, and engineering. Cars would still leave European factories, but a smaller share of the economic and technological value would remain in Europe.
BMW’s cuts are therefore more than another automotive cost program. They are evidence that the next restructuring will extend through management, development, procurement, supplier networks, and the rules used to determine where a vehicle truly comes from.
Europe is preparing to defend its automotive industrial base.
BMW is preparing for the possibility that defense will only buy time.
The post BMW’s Job Cuts Reveal the Real Battle Over Europe’s Automotive Supply Chain appeared first on Logistics Viewpoints.
Transpac peak may stretch on even as Asia – Europe ocean cools – August 6, 2026 Update
Supply Chain and Logistics News Round Up of the Week (August 4th-7th 2026)
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