Supply Chain Management

China is electrifying its trucking fleet so fast that it’s now reshaping global diesel demand. This has not been widely covered by the mainstream media. Here's how quickly things have shifted: ➡️ 2020: Nearly every new truck in China was diesel ➡️ H1 2025: Battery-powered trucks reached 22% of new sales ➡️ Dec 2025: Battery-powered trucks hit 54%, achieving a majority share for the first time China's sales of "New Energy Vehicle" trucks in 2025 were almost triple the 2024 total – and the share is now expected to reach around 60% this year. And what's driving this shift? Economics. Rapidly falling battery prices mean electric trucks are now cheaper to own and operate than diesel or LNG alternatives – with each truck saving fleet operators around $165,000 over a 10-year operating life. Fleet operators are also increasingly adopting depot charging, opportunity charging and battery-swap networks – removing the last points of friction. This is a market-wide shift in the most energy-intensive road transport segment in the world’s largest vehicle market. And it matters: road freight accounts for around one third of global transport emissions. The impact on oil demand is already visible: ✅ China's electric trucks are already cutting oil demand by the equivalent of more than one million barrels a day. ✅ China's transport sector is forecast to use 40% less diesel in 2030 than in 2024. So why did analysts miss this? Most models assumed heavy trucks would be the last segment to electrify — but China moved faster on battery-swap infrastructure, ultra-cheap LFP batteries, and high-utilisation urban freight fleets. The economics flipped earlier than the forecasts assumed. The result: diesel demand in China – the world’s second-largest consumer – could fall much faster than many predicted. And that's not all. Already the world's largest exporter of passenger cars, China is now eyeing the global electric truck market. Adoption is growing in the Middle East and Latin America and BYD is building a new electric truck and bus factory in Hungary. This is just the beginning.

𝗗𝗮𝘁𝗮 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗶𝘀 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗺𝗶𝘀𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗼𝗼𝗱 𝘁𝗼𝗽𝗶𝗰𝘀 𝗶𝗻 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲. Because most people explain it from the inside out: policies, councils, standards, stewardship. But the business does not buy any of that. The business buys outcomes: → trustworthy KPIs → vendor and partner data you can actually use → faster financial close → fewer reporting escalations → smoother M&A integration → AI you can deploy without creating risk debt Most AI programs fail for boring reasons: nobody owns the data, quality is unknown, access is messy, accountability is missing. 𝗦𝗼 𝗹𝗲𝘁’𝘀 𝘀𝗶𝗺𝗽𝗹𝗶𝗳𝘆 𝗶𝘁. 𝗗𝗮𝘁𝗮 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗶𝘀 𝗳𝗼𝘂𝗿 𝘁𝗵𝗶𝗻𝗴𝘀: → ownership → quality → access → accountability 𝗔𝗻𝗱 𝗶𝘁 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝘃𝗲𝗿𝘆 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗶𝗻 𝟰 𝗹𝗮𝘆𝗲𝗿𝘀: 1. Data Products (what the business consumes) → a named dataset with an owner and SLA → clear definitions + metric logic → documented inputs/outputs and intended use → discoverable in a catalog → versioned so changes don’t break reporting 2. Data Management (how products stay reliable) → quality rules + monitoring (freshness, completeness, accuracy) → lineage (where it came from, where it’s used) → master/reference data alignment → metadata management (business + technical) → access controls and retention rules 3. Data Governance (who decides, who is accountable) → data ownership model (domain owners, stewards) → decision rights: who can change KPI definitions, thresholds, and sources → issue management: triage, escalation paths, resolution SLAs → policy enforcement: what’s mandatory vs optional → risk and compliance alignment (auditability, approvals) 4. Data Operating Model (how you scale across the enterprise) → domain-based setup (data mesh or not, but clear domains) → operating cadence: weekly issue review, monthly KPI governance, quarterly standards → stewardship at scale (roles, capacity, incentives) → cross-domain decision-making for shared metrics → enablement: templates, playbooks, tooling support If you want to start fast: Pick the 10 metrics that run the business. Assign an owner. Define decision rights + escalation. Then build the data products around them. ↓ 𝗜𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝘀𝘁𝗮𝘆 𝗮𝗵𝗲𝗮𝗱 𝗮𝘀 𝗔𝗜 𝗿𝗲𝘀𝗵𝗮𝗽𝗲𝘀 𝘄𝗼𝗿𝗸 𝗮𝗻𝗱 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀, 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗴𝗲𝘁 𝗮 𝗹𝗼𝘁 𝗼𝗳 𝘃𝗮𝗹𝘂𝗲 𝗳𝗿𝗼𝗺 𝗺𝘆 𝗳𝗿𝗲𝗲 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿: https://lnkd.in/dbf74Y9E

No words. No narration. Just one of the most powerful demonstrations of automotive safety technology I’ve seen. This video showcases Volkswagen’s Emergency Assist system, and it’s a masterclass in effective communication. Watch what happens when the system detects an unresponsive driver: 1. Alerts: It first tries to get the driver's attention. 2. Physical Intervention: It then does something fascinating...it jabs the brakes in an attempt to physically jolt the driver awake. 3. Autonomous Action: When there's no response, it takes control. It assesses the surroundings, activates the turn signal, and safely navigates the car across multiple lanes to the shoulder. 4. Secure & Call: Finally, it brings the vehicle to a complete stop, turns on the hazard lights, and automatically makes an emergency call. Think of the real-world implications. It's a lifeline for anyone experiencing a sudden medical event—a seizure, a heart attack, a narcoleptic episode. It also provides a critical safety layer for our aging population, helping older drivers maintain their mobility and independence with more confidence and peace of mind for their families. This technology will save lives. Period. Incredible work by the engineering and design teams at Volkswagen. This is human-centered technology at its best. What are your thoughts? #AutomotiveTechnology #RoadSafety #Innovation #Volkswagen #DriverAssist #Engineering #FutureOfMobility

If sourcers aren't a part of your talent intelligence strategy, how complete is your strategy and what are you missing? I had an interesting discussion with a client the other day - they're looking to build a world-class talent intelligence function and were asking how to get granular data and insights. Companies often overlook a valuable source of insights: the conversations they have with every potential candidate, whether or not they progress through the hiring process. Even brief email exchanges with candidates who decline interest can provide meaningful information. These interactions are a rich source of market intelligence that many organizations fail to capture and analyze. Not every organization employs dedicated sourcers, but recruiters who actively engage in sourcing activities can collect vital market intelligence through their candidate interactions. Organizations that depend exclusively on inbound applications from recruitment marketing and employee referrals face a significant limitation: they only capture insights from candidates who apply. While analyzing inbound applicant data is valuable, it represents just one segment of the potential talent pool. Without active sourcing, companies miss out on understanding the broader talent market, including passive candidates' motivations and targeted competitor insights. Here's the bottom line: every candidate interaction - whether successful or not - can yield valuable market intelligence. Organizations that systematically capture and analyze these insights gain a significant competitive advantage in understanding talent markets, competitor dynamics, and their own employer value proposition. #sourcing #talentintelligence

In Ghana, Nigeria, and Burkina Faso, women in rural cooperatives produce some of the world’s finest shea butter- by hand, in conditions many global consumers will never see. Locally, it’s sold raw for $1 to $2 per kilogram. That same shea butter, once exported, repackaged, and labeled “organic” or “artisanal,” can sell in the U.S. or Europe for $30 to $50 or more. The difference? Branding. Packaging. Storytelling. Access to global markets. It’s not just shea butter. It’s coffee, cocoa, hibiscus, moringa, baobab oil- Africa exports raw, and imports wealth back in the form of marked-up goods. Meanwhile, the women who do the hardest work in the value chain often remain in poverty. This isn’t just an economic issue. It’s about power and narrative. The current system rewards ownership of the story, not just the substance. So what needs to change? 🔹 Investing in African-owned brands that can go beyond raw exports 🔹 Building infrastructure for local manufacturing and distribution 🔹 Creating access to retail markets, both on the continent and abroad 🔹 Shifting from “supplier” to brand owner, from “producer” to value creator Africa doesn’t need saving. It needs more control over its own value chains, and support for the people, especially women, who are the backbone of its raw material economy. Let’s stop asking why global brands profit from African goods and start asking what it takes to build our own. Image cred: @tanziehq #Africa #RawEconomy #ValueChain #Entrepreneurship #OwnTheNarrative

As the CEO of DP World Europe, it’s my job to anticipate the major logistics trends that will continue to impact our industry. And in the wake of DP World’s third annual Global Freight Summit, I found myself reflecting – what are the trends that freight forwarders, supply chain providers, and industry specialists alike are looking out for? Here’s my view: 1. Digitalisation: In Europe’s highly interconnected trade ecosystem, digital solutions have been critical in streamlining supply chains and improving cross-border efficiency. Embracing smart logistics has allowed us to reduce costly delays at our ports and terminals and strengthen Europe’s position in global trade. 2. Sustainability: Europe is at the forefront of a more sustainable transition, and decarbonising our supply chains is not just an obligation but a competitive advantage. Future trade in Europe will be as much about greener credentials as about efficiency. 3. Geopolitical and Macro-Economic Uncertainty: From inflation to energy crises, Europe’s trade landscape has taught us the importance of resilience. Building flexibility into our operations and fostering meaningful collaborations with our customers have been vital in mitigating risks and maintaining stability. 4. Socio-Cultural Change and Demand: European consumers are driving demand for more sustainable, faster, and more transparent supply chains. Adapting to these expectations has reinforced the need for innovative solutions that not only meet demand but also reflect the values of the markets we serve. Europe’s trade landscape is evolving rapidly, and with every challenge comes an opportunity to better our industry. To find out more about how DP World is finding solutions to supply chain challenges, visit: https://lnkd.in/esfMsv3y

Did you know that up to 90% of a company's environmental impact comes from its supply chain? This statistic highlights businesses' massive responsibility to engage with their entire network of suppliers in the fight against climate change. Across industries, we're seeing a growing emphasis on sustainability within supply chains. Whether it's reducing carbon emissions, ensuring ethical sourcing, or increasing transparency, the need for innovation and collaboration is clearer than ever. And by focusing on these areas, companies can make huge strides in reducing their overall environmental footprint. My partner Jungheinrich AG is a good example of this. Instead of focusing solely on their own sustainability goals, they recently extended their efforts to their entire supply chain to take part in a self-assessment. Businesses doing this can ensure transparency and accountability at every level. It also demonstrates that real change is possible when companies work together. If your company could make one change today to engage its suppliers in sustainability, what would it be? I'd love to hear your thoughts and ideas. #sustainability #supplychain #innovation

A personal decision to change my car gave me an insight I shared yesterday with LATAM Airlines leadership—and it resonated. So I thought it might be worth sharing here as well. Fair warning: it’s not a new revelation. I recently replaced my BMW iX3 with a Tesla Model Y. On paper, both are electric SUVs. In practice, they come from entirely different DNA. The BMW is a masterpiece of traditional engineering, adapted for a battery. The Tesla is a computer on wheels—where software is the product, and hardware is just the delivery mechanism. This shift goes far beyond cars. It reflects the core challenge for legacy companies—including us at LATAM Airlines. Many still see “digital transformation” as adding a digital layer—an app, a cloud migration—on top of existing processes. But the real difference is philosophical: • Continuous evolution vs. static products In a traditional model, the product is “finished” when it leaves the factory. In a digital-first model, the product is a living system—constantly evolving through software. • First principles vs. incrementalism It’s not about digitizing a 30-year-old process. It’s about reimagining it from scratch with data and AI at the core. • Software as the engine Competitive advantage no longer comes from the physical asset (a plane or a car), but from the intelligence embedded within it. • The reality check Becoming truly digital isn’t about building a great app. It’s about shifting from being a physical company enhanced by technology to a technology company that happens to operate in the physical world. The biggest hurdle isn’t technology—it’s mindset. This is how we’re approaching the challenge at LATAM. In a world where “revolutionary” quickly becomes the baseline, evolution is no longer a project—it’s the operating model. The real question for leaders: Are you just swapping engines—or are you ready to rebuild the entire platform? #DigitalTransformation #Innovation #Leadership #LATAM #TechStrategy

Killer graph. Out of the £130 billion online non-food purchases we make in the UK, £27 billion of them get sent back to retailers. Our research with ZigZag Global shines a spotlight on the significant challenge online returns cause in the industry, focusing on those consumers who consistently and intentionally over-order - the "serial returners". Key stats ➡️ Around 11% of online shoppers are serial returners (frequently over-ordering with the intention of returning many items) ➡️They account for 24% of all online returns ➡️Serial returners send back, on average, £1,400 worth of online orders per year, compared with an average of £650. ➡️ This amounts to £6.6 billion of returns. ➡️ Almost three-quarters of serial returners are under the age of 45, and they return more than 42% of all their orders. A 1/4 of serial returners admit to over-ordering just to reach a minimum order value (often to trigger free delivery) only to return goods they had no intention of keeping. The same proportion also said they had returned items after finding them cheaper elsewhere or on promotions. While 18% admitted to returning items having already used them for a short period. There is no silver bullet here that is going to fix this issue for retailers. A nuanced understanding of specific triggers and barriers is essential to effectively target returners through pricing and returns options. 💥 For many boardrooms debating whether they should charge for returns, my thoughts are: 💥 The returns equation transcends simple binary choices between free or paid. Retailers must architect differentiated returns propositions that align commercial realities with customer lifetime value. Smart retailers will segment their returns strategy by customer profitability metrics, leveraging AI to identify purchase patterns that predict long-term value. This enables dynamic returns pricing that protects margins while fostering relationships with truly valuable customers. The goal isn't to punish returns – it's to price them according to their true cost to serve, while rewarding profitable shopping behaviours. There's also a paradox at play where customer acquisition costs are optimised but customer profitability is compromised. Many retailers are essentially subsidising unsustainable shopping behaviours at the expense of margin, unknowingly targeting customers they could do without. The real opportunity lies in leveraging returns data as a predictive indicator of customer profitability. By applying advanced analytics to returns patterns, seasonal purchasing behaviours, and cross-category browsing and mining deep behaviour insights, retailers can enable proactive intervention before profitability erodes. This shifts the conversation from universal policies to personalised solutions that can turn returns from a pure cost centre into a strategic lever for customer engagement and loyalty. Full research is available to download here ⬇️ https://lnkd.in/e5paRNWC

Every cloud provider faces the same AI infrastructure challenge: chips need to be positioned close together to exchange data quickly, but they generate intense heat, creating unprecedented cooling demands. We needed a strategic solution that allowed us to use our existing air-cooled data centers to do liquid cooling without waiting for new construction. And it needed to be rapidly deployed so we could bring customers these powerful AI capabilities while we transition towards facility-level liquid cooling. Think of a home where only one sunny room needs AC, while the rest stays naturally cool – that’s what we wanted to achieve, allowing us to efficiently land both liquid and air-cooled racks in the same facilities with complete flexibility. The available options weren't great. Either we could wait to build specialized liquid-cooled facilities or adopt off-the-shelf solutions that didn't scale or meet our unique needs. Neither worked for our customers, so we did what we often do at Amazon… we invented our own solution. Our teams designed and delivered our In-Row Heat Exchanger (IRHX), which uses a direct-to-chip approach with a "cold plate" on the chips. The liquid runs through this sealed plate in a closed loop, continuously removing heat without increasing water use. This enables us to support traditional workloads and demanding AI applications in the same facilities. By 2026, our liquid-cooled capacity will grow to over 20% of our ML capacity, which is at multi-gigawatt scale today. While liquid cooling technology itself isn't unique, our approach was. Creating something this effective that could be deployed across our 120 Availability Zones in 38 Regions was significant. Because this solution didn't exist in the market, we developed a system that enables greater liquid cooling capacity with a smaller physical footprint, while maintaining flexibility and efficiency. Our IRHX can support a wide range of racks requiring liquid cooling, uses 9% less water than fully-air cooled sites, and offers a 20% improvement in power efficiency compared to off-the-shelf solutions. And because we invented it in-house, we can deploy it within months in any of our data centers, creating a flexible foundation to serve our customers for decades to come. Reimagining and innovating at scale has been something Amazon has done for a long time and one of the reasons we’ve been the leader in technology infrastructure and data center invention, sustainability, and resilience. We're not done… there's still so much more to invent for customers.