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.

In the third part of my Understanding Energy Resilience series, I want to start with something many of you will have seen in the news: recent drone disruptions at major airports. Munich having to temporarily close its airspace. Oslo halting landings. Copenhagen pausing operations for hours. These incidents showed how quickly one small object can halt a critical service, create chaos and cost millions. Now take that thought to energy. If a drone over a runway makes headlines, a drone over energy infrastructure often doesn't. Yet the consequences can be just as real: disruptions to electricity supply, halted rail services and factories forced to stop production. Across Europe, operators are not allowed to neutralize hostile drones themselves – even when a threat is visible above critical infrastructure. Simply put: the rules have not caught up with reality. In my view, clarity and speed here are essential for public safety. Next to physical threats we also face digital ones. Every hour, around 35 million cyberattacks happen worldwide – almost 10,000 every second. Around 5% of them target energy companies and infrastructure. This is the world we operate in: attacks can appear out of nowhere and put entire systems to the test in real time. From my perspective, defending energy infrastructure comes down to a few key priorities: 1️⃣ Let protection happen: Regulation needs to enable energy operators to protect themselves. Clear rules must define who can intervene, when and how – including stopping a hostile drone. We cannot afford hesitation while minutes turn into outages. 2️⃣ Treat physical and digital as one: Fences, cameras and access control on the ground. Network separation and continuous monitoring in the control room. Physical and digital security must be treated as one because if someone can walk in, they can often plug in and disrupt the system. 3️⃣ Harden the infrastructure no one can afford to lose: The majority of physical and cyberattacks on energy systems target a small number of high-impact sites – such as substations, control rooms and interconnectors. Better detection and stronger barriers here make the difference between local disturbance and national outage. 4️⃣ Practice recovery, not just prevention: Real resilience is measured in how quickly power is restored. Simple restart plans, spare parts ready on site and regular drills with operators and authorities turn days in the dark into hours. 5️⃣ Stop naivety – talk openly about risk: We need public awareness without drama – which is one of the reasons I started this series. The more people understand that drones over critical sites are serious and that malware or phishing mails are no joke, the more support there will be for sensible protection. I believe this is the right balance: clear authority to act, practical protection on the ground and in the network with a constant focus on rapid recovery. In a more contested world, that is how energy systems stay open for business.

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

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

Replit's gross margins went from 36% to negative 14% in two months. Same product. Same pricing. Same team. The only thing that changed: they launched a more autonomous AI agent that consumed more LLM resources than their pricing covered. Traditional SaaS has 70-80% gross margins because one more subscriber costs almost nothing. AI products pay for compute on every prompt. Your best users are your most expensive users. That single fact breaks every pricing model designed for the SaaS era. I mapped pricing across the top 50 AI startups by valuation with Moe Ali. Six patterns emerged. The scariest finding: in most AI products, the P90 user costs 10-40x more than the P50 user. Both pay the same subscription. You're subsidizing your heaviest users with revenue from your lightest ones. And that subsidy grows as power users discover more ways to use the product. Cursor learned this the hard way. They switched from flat 500 requests/month to a credit pool system. A developer burned the entire monthly allocation in a single day. $7,225 invoice. The CEO published a public apology on July 4th. The plan description quietly changed from "Unlimited" to "Extended" twelve days after launch. Anthropic took a different approach. Their $17/$100/$200 tiers map to genuinely different user personas. A casual user, a power user, and a developer replacing an IDE. Those are different products with different willingness to pay. Then weekly rate limits targeting less than 5% of subscribers to push the heaviest users toward the API, where per-token pricing covers actual compute. The pattern across all 50 companies: pure flat pricing is dying. Nearly half use two or three models simultaneously. Here's the full breakdown: 1. Complete AI pricing guide: https://lnkd.in/gdKaQSMk 2. Replit guide: https://lnkd.in/gmA_c_AG 3. AI product strategy: https://lnkd.in/egemMhMF 4. AI agents guide for PMs: https://lnkd.in/eeey5Cxr If you can't estimate your cost distribution across P10 to P90, you're not ready to set a price.

Technology plays a significant role in keeping food fresh in supermarkets by extending the shelf life of products, maintaining proper storage conditions, and ensuring food safety. What do you think about this innovation in Japan? Refrigeration and Cooling Systems: Supermarkets rely on advanced refrigeration and cooling systems to maintain the appropriate temperature for various food products. These systems include walk-in coolers, freezers, display cases, and temperature-controlled storage areas. Precise temperature control helps slow down the growth of bacteria and the deterioration of food. Modified Atmosphere Packaging (MAP): MAP technology involves altering the atmosphere inside the packaging to extend the freshness of perishable foods. It typically involves adjusting the levels of oxygen, carbon dioxide, and nitrogen to slow down the spoilage process. This technology is commonly used for products like packaged meats, fruits, and vegetables. Vacuum Packaging: Vacuum sealing removes air from packaging to prevent the growth of aerobic bacteria and maintain product freshness. It is often used for deli meats, cheeses, and marinated foods. Smart Shelving and Inventory Management: Supermarkets use smart shelving and inventory management systems to monitor and control temperature, humidity, and product rotation. These systems can alert store staff to temperature fluctuations or expired products, helping to reduce food waste. RFID and Barcoding: Radio-frequency identification (RFID) and barcoding technologies help track products throughout the supply chain and in-store. They enable efficient inventory management, reducing the chances of products staying on the shelves past their expiration dates. Data Analytics: Supermarkets collect data on sales, customer preferences, and inventory turnover. Advanced data analytics tools can predict demand, optimize stocking levels, and minimize waste. Transportation and Distribution Technologies: Refrigerated trucks and temperature-controlled supply chains are crucial for maintaining the cold chain, ensuring that products stay at the proper temperature during transportation from producers to supermarkets. UV-C Light: Some supermarkets have started using UV-C light technology to disinfect surfaces, including food packaging and display cases, reducing the risk of contamination. Anti-Microbial Packaging: Packaging materials with anti-microbial properties can inhibit the growth of bacteria on the surface of food products, adding an extra layer of protection. Quality Control and Testing: Supermarkets employ quality control measures and testing technologies to ensure the freshness and safety of products. This may include regular inspections, laboratory testing, and sensory evaluations. Energy-Efficient Equipment: Energy-efficient refrigeration and cooling systems help supermarkets reduce energy consumption while maintaining the required temperature levels. via @ meatdad1 #technology #innovation

Actions to Reduce Scope 3 Emissions 🌎 Scope 3 emissions typically account for the largest share of a company's carbon footprint, covering indirect emissions across the entire value chain. Addressing them effectively requires a multifaceted approach that engages suppliers, customers, and other stakeholders. This framework outlines clear actions across key Scope 3 categories, ranging from procurement to investments. Each action is categorized into three progressive levels, encouraging companies to start with quick wins and advance toward deeper integration and systemic change. In purchasing and capital goods, strategies include substituting high-GHG materials and equipment, applying GHG criteria in investment decisions, and engaging suppliers to standardize emissions reporting. These measures aim to embed sustainability criteria across the sourcing process. For energy-related activities and transportation, reducing energy consumption, switching to lower-emission fuels, and electrifying fleets play a critical role. While some listed actions—such as on-site renewable generation—typically fall under Scope 1 or 2, they remain integral to broader decarbonization strategies. Operational waste and product lifecycle emissions require both upstream and downstream interventions. Companies can minimize waste at source, enhance recycling processes, and design for recyclability, ensuring materials remain in circulation and emissions are mitigated across product life cycles. Business travel, employee commuting, and leased assets offer opportunities to reduce emissions through virtual collaboration tools, promotion of public transport, retrofitting for energy efficiency, and improving facility operations—highlighting the value of internal policies and infrastructure upgrades. Downstream logistics and product use demand focused improvements in logistics efficiency and product energy performance. Encouraging efficient product use and adopting low-GHG energy sources can reduce the footprint associated with sold goods and services. Franchise and investment-related emissions emphasize the importance of supporting energy-efficient operations and prioritizing low-carbon investment portfolios. Channeling funding into clean tech and applying rigorous climate criteria to investment decisions are essential for long-term impact. The success of Scope 3 reduction strategies depends not only on technical interventions but also on clear governance and collaboration frameworks. Accurate data collection, traceability, and continuous engagement across the value chain ensure sustained progress. Comprehensive Scope 3 management is vital for achieving credible net-zero targets. This framework provides a roadmap to operationalize reductions, integrating climate action into the heart of corporate strategy and ensuring alignment with global decarbonization goals. #sustainability #sustainable #business #esg #emissions

A learning culture is not built by offering more training. It emerges where curiosity, connection, and purpose intersect. Andrew Barry, in The Curious Lion, describes learning culture as a lotus where several forces overlap. I find this framing helpful because it moves the conversation beyond HR programs and into the fabric of the organization. At the individual level, there is curiosity. People must feel invited to ask questions, challenge assumptions, and explore. Without individual curiosity, learning remains compliance. At the organizational level, there is mission. Learning needs direction. When people understand what the company stands for and where it is going, their curiosity becomes focused rather than scattered. At the relational level, there is human connection. Learning accelerates in environments where people feel safe to speak, experiment, and reflect together. The fourth circle is continuous learning. Learning must be ongoing, not episodic. Not a workshop, but a way of operating. Continuous learning ensures that curiosity, mission, and connection reinforce each other over time rather than fading after the latest initiative. When these circles overlap, deeper elements emerge: Shared vision aligns effort. Shared experiences create collective memory. Shared assumptions shape how reality is interpreted. Shared stories transmit meaning across generations. At the center sits what we call learning culture. Not an initiative, but a pattern of how people think, relate, and evolve together. The question for leaders is not, “Do we offer learning opportunities?” It is, “Do curiosity, mission, and connection truly reinforce each other continuously in our organization?” That is where learning becomes cultural rather than occasional.

The European Parliament has officially passed Extended Producer Responsibility (EPR) legislation that fundamentally shifts the responsibility for textile waste management to fashion brands and retailers – with far-reaching global implications. This new law requires all producers, including e-commerce platforms, to cover the full cost of collecting, sorting, and recycling textiles, regardless of whether they are based within or outside the EU. The financial burden of Europe's textile waste now falls squarely on the brands that create it. What are the critical business implications? UNIVERSAL SCOPE: The legislation applies to all producers selling in the EU market, including those of clothing, accessories, footwear, home textiles, and curtains. No company is exempt based on location. FAST FASHION PENALTY: Member states must specifically address ultra-fast and fast fashion practices when determining EPR financial contributions, creating cost penalties for unsustainable business models. GLOBAL SUPPLY CHAIN DISRUPTION: As the world's largest textile importer, the EU's new rules will ripple across global supply chains, particularly impacting exporters from Bangladesh, Vietnam, China, and India who supply much of Europe's fast fashion. TIMELINE PRESSURE: Officially adopted September 2025, this creates immediate operational and financial planning requirements. COMPETITIVE RESHAPING: Brands and retailers will inevitably pass increased costs down their supply chains, fundamentally altering supplier relationships and pricing structures globally. What are the implications for various stakeholders? For CEOs and board members: This represents more than regulatory compliance – it's a complete business model transformation. Companies must now integrate end-of-life costs into product pricing, rethink supplier partnerships, and accelerate circular design strategies. For sustainability and decarbonisation executives: This creates unprecedented opportunities for circular economy solutions, sustainable material innovation, and traceability system development across global supply chains. Link: https://lnkd.in/dTyHtHuD #sustainablefashion #circulareconomy #textilwaste #epr #fashionindustry #sustainability #supplychainmanagement #fastfashion #environmentalregulation #businessstrategy #decarbonisation #textilerecycling #fashionceos #boardgovernance #climateaction #wastemanagement #producerresponsibility #fashionsustainability #textileindustry #greenbusiness