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.

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

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

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

I’ve had 4 legal battles since starting my business. Could I have avoided them? Probably. But I didn’t have the funds for a proper lawyer. I didn’t have the founder network to ask the right questions. I was figuring it out as I went - like most of us do. So, let me help you not learn the hard way. Here are 5 clauses I now include in every contract to protect my work, my business, and my sanity: 1. Non-cancellable, non-refundable agreements If you’ve qualified your clients properly, this shouldn’t be a problem. But if someone signs, onboards, and then disappears? We still get paid. And so should you. 2. Immediate or short payment terms We don’t do 30- to 90-day terms. You wouldn’t work for 3 months without pay - so why should your business? Cash flow isn’t just admin. It’s survival. 3. Enforceable payment protection Your contract should include: Interest on late invoices A “stop work” clause if payment isn’t made A clause that guarantees you still get paid even if the client delays the project Your time is not free. Put it in writing. 4. Intellectual Property stays yours Anything we bring to the table = ours. Anything we create for you = yours. Clear. Simple. No grey area. We once had a client record a training session… and try to resell it behind a paywall. Now our contract includes a £10,000 fine per breach. And in that case, per breach = per view. 5. Don’t work with d*ckheads. Not a legal clause - more like legal wisdom... 😂 🚩 If they’re pushing for discounts before asking about outcomes 🚩 If they want to start work before signing or paying 🚩 If they delay, ghost, or act shady in the first 10 days… Walk away. Trust me. Yes, contracts are important. But court is expensive, stressful, and slow. The best legal advice I can give you; - Protect your business. - Trust your gut. - And don’t work with d*ckheads. Learning from someone else’s mistakes is a hell of a lot cheaper than learning from your own. You’re welcome 💜 😉 P.S - Want to finally get the confidence to start building your personal brand online? This is your sign. I’m hosting a FREE Zoom masterclass SEPT 10th. Join here: https://lnkd.in/gMwytmS3 and I'll show you exactly how to build your personal brand (and the life you want!).

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.

CONVERTING SURPLUS DISEL LOCOMOTIVES OF INDIAN RAILWAYS TO ELECTRIC LOCOMOTIVES COULD BE A GREAT BUSSINESS OPPORTUNITY- Road Map 1. Technical Possibility A diesel locomotive can, in principle, be converted into an electric locomotive, though the process is not straightforward. It involves: Removing the diesel engine (prime mover) and auxiliaries such as turbocharger, fuel tanks, and radiators. Installing high-capacity transformers, rectifiers/inverters, and traction converters to work with 25 kV AC (or other relevant supply). Adapting traction motors – many modern diesel locomotives already use electric traction motors powered by a diesel-alternator set; these can often be retained with modifications to accept OHE supply. Adding pantographs, circuit breakers, and high-voltage cabling for overhead connection. Weight balancing and space optimization after engine removal. 2. Precedents Indian Railways – “Mission 3000 DTTX”: Large-scale conversion of WDG-3A diesels into WAGC3 electric locomotives. Success factors: Co-Co bogies, adaptable traction motors, and wide availability of redundant diesel units. Globally, examples are rare – most railways prefer fresh procurement. 3. Advantages Cost savings: Conversion costs about 40% of a new electric locomotive. Energy savings: Diesel – 3 litres (₹300) per 1000 tonne-km vs. Electric – 8 kWh (₹100). Engine repurposing: Removed diesel prime movers can be redeployed as high-capacity DG Sets for power backup in workshops, depots, and colonies. Lower emissions and reduced maintenance. 4. Strategic Impact With 100% electrification target of Indian Railways, nearly the entire fleet of diesel locomotives (~5,500 units) risks redundancy. Conversion + engine repurposing creates dual benefits:
 Redeployment of chassis as electrics for hauling. DG Set utility of released prime movers for stationary applications. Enables capital recovery and avoids wasteful scrapping of serviceable assets. 5. Limitations Older designs with DC motors may not be convertible without full replacement. Converted locos have lower performance than purpose-built electrics. Viable only on fully electrified routes. Space/cooling compromises affect reliability if not carefully engineered. ✅ Bottom Line Diesel-to-electric conversion is not only technically feasible but also strategically vital in India’s context: Cost-effective (40% of new build). Engine repurposing into DG Sets enhances asset utilization. Mass redeployment of redundant diesels offers a sustainable pathway as India achieves 100% electrification. #CleanEnergy #Decarbonization #EnergyEfficiency #GreenMobility #ClimateAction #GatiShakti #MakeInIndia #AtmanirbharBharat #TransportPolicy #FutureOfMobility #DieselToElectric #LocomotiveConversion #RailwayTechnology #EngineeringSolutions #InfraInnovation #EnergyEfficiency #SustainableDevelopment #CarbonReduction #ClimateAction #CircularEconomy #MakeInIndia #FutureOfTransport

𝗢𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗠𝗢𝗦𝗧 𝗱𝗶𝘀𝗰𝘂𝘀𝘀𝗲𝗱 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: 𝗛𝗼𝘄 𝘁𝗼 𝗽𝗶𝗰𝗸 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗟𝗟𝗠 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲? The LLM landscape is booming and choosing the right LLM is now a business decision, not just a tech choice. One-size-fits-all? Forget it. Nearly all enterprises today rely on different models for different use cases and/or industry-specific fine-tuned models. There’s no universal “best” model — only the best fit for a given task. The latest LLM landscape (see below) shows how models stack up in capability (MMLU score), parameter size and accessibility — and the differences REALLY matter.  𝗟𝗲𝘁'𝘀 𝗯𝗿𝗲𝗮𝗸 𝗶𝘁 𝗱𝗼𝘄𝗻: ⬇️ 1️⃣ 𝗚𝗲𝗻𝗲𝗿𝗮𝗹𝗶𝘀𝘁 𝘃𝘀. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁: - Need a broad, powerful AI? GPT-4, Claude Opus, Gemini 1.5 Pro — great for general reasoning and diverse applications.   - Need domain expertise? E.g. IBM Granite or Mistral models (Lightweight & Fast) can be an excellent choice — tailored for specific industries.  2️⃣ 𝗕𝗶𝗴 𝘃𝘀. 𝗦𝗹𝗶𝗺:  - Powerful, large models (GPT-4, Claude Opus, Gemini 1.5 Pro) = great reasoning, but expensive and slow. - Slim, efficient models (Mistral 7B, LLaMA 3, RWWK models) = faster, cheaper, easier to fine-tune. Perfect for on-device, edge AI, or latency-sensitive applications.  3️⃣ 𝗢𝗽𝗲𝗻 𝘃𝘀. 𝗖𝗹𝗼𝘀𝗲𝗱   - Need full control? Open-source models (LLaMA 3, Mistral, Llama) give you transparency and customization.   - Want cutting-edge performance? Closed models (GPT-4, Gemini, Claude) still lead in general intelligence.  𝗧𝗵𝗲 𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆? There is no "best" model — only the best one for your use case, but it's key to understand the differences to make an informed decision: - Running AI in production? Go slim, go fast. - Need state-of-the-art reasoning? Go big, go deep. - Building industry-specific AI? Go specialized and save some money with SLMs.  I love seeing how the AI and LLM stack is evolving, offering multiple directions depending on your specific use case. Source of the picture: informationisbeautiful.net