Outsourcing Supply Chain Functions

Cities globally still manage their transport with rearview mirrors. Agree? Traffic jams, late deliveries, rising fuel costs, and safety incidents... these aren't just daily headaches. They're symptoms of a system that's very complex. You're constantly reacting. But what if you prevent these problems before they happen? This is the reality of a Transport & Mobility Digital Twin. The diagram isn't just a flowchart. It's a blueprint for turning chaos into control. Here’s how it works, broken down simply: Step 1: Create the Foundation Model This is a dynamic Transport DT which continuously ingests real-time data from every possible source (Measurable Properties in the chart): MP2: Live traffic data MP1: Public transport data MP12: Fleet fuel consumption MP5: Weather conditions MP9: Supply chain information Step 2: Start simulating Once you have a copy with this real-time data inflow, you can ask powerful "what-if" questions without real-world consequences. We call these Adjustments: "What if we re-route 20% of city traffic to test a new traffic flow model? (A1)" "Where will new road infrastructure give us the highest ROI? (A2)" "How will a new sustainability regulation impact our delivery times? (A5)" You test, analyze, and perfect your strategy in the digital world before committing a single resource in the physical world. Step 3: Make Decisions ONLY Tied to your Business Goals Every simulation is measured against the goals that matter for YOU most (Key Performance Indicators): Increase Transport Efficiency (KPI1) Improve Sustainability & Environmental Impact (KPI2) Enhance Traffic Safety (KPI5) Boost your Economic & Financial performance (KPI7) This will stop you from making gut-feel decisions. You start executing real-world strategies for your transport city network. --------------- Follow me for #digitaltwins Links in my profile Florian Huemer

𝐑𝐞𝐟𝐥𝐞𝐜𝐭𝐢𝐧𝐠 𝐨𝐧 𝐚𝐥𝐥 𝐭𝐡𝐞 𝐬𝐮𝐩𝐩𝐥𝐢𝐞𝐫𝐬 𝐈’𝐯𝐞 𝐬𝐨𝐮𝐫𝐜𝐞𝐝, 𝐨𝐧𝐞 𝐭𝐡𝐢𝐧𝐠 𝐢𝐬 𝐜𝐥𝐞𝐚𝐫: 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐦𝐚𝐭𝐭𝐞𝐫𝐬. Taking shortcuts can lead to wasted money and a world of headaches downstream. (𝘙𝘢𝘪𝘴𝘦 𝘺𝘰𝘶𝘳 𝘩𝘢𝘯𝘥 𝘪𝘧 𝘺𝘰𝘶'𝘷𝘦 𝘦𝘷𝘦𝘳 𝘣𝘦𝘦𝘯 𝘢𝘴𝘬𝘦𝘥 𝘵𝘰 𝘧𝘢𝘴𝘵-𝘵𝘳𝘢𝘤𝘬 𝘙𝘍𝘗 𝘳𝘦𝘲𝘶𝘪𝘳𝘦𝘮𝘦𝘯𝘵𝘴, 𝘰𝘳 𝘩𝘢𝘥 𝘭𝘦𝘢𝘥𝘦𝘳𝘴 𝘱𝘶𝘴𝘩 𝘧𝘰𝘳 𝘤𝘦𝘳𝘵𝘢𝘪𝘯 𝘴𝘶𝘱𝘱𝘭𝘪𝘦𝘳𝘴, 𝘪𝘨𝘯𝘰𝘳𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭 𝘳𝘪𝘴𝘬𝘴?!) 𝐖𝐡𝐚𝐭 𝐈'𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝: 💡 𝙁𝙤𝙘𝙪𝙨 𝙛𝙞𝙧𝙨𝙩: Be specific about your needs in RFx docs. If you’re unclear, suppliers will be, too. Before going to RFP, always have quantifiable evaluation criteria finalized and approved by the Spend Owner. 💡 𝙄𝙩’𝙨 𝙣𝙤𝙩 𝙟𝙪𝙨𝙩 𝙥𝙧𝙞𝙘𝙚: The cheapest option often costs the most in the long run. Prioritize value over price. Suppliers who price things materially lower than benchmark norms usually cut corners somewhere to meet margins. 💡 𝘾𝙝𝙚𝙘𝙠 𝙧𝙚𝙛𝙚𝙧𝙚𝙣𝙘𝙚𝙨 𝙩𝙝𝙤𝙧𝙤𝙪𝙜𝙝𝙡𝙮: Source independent references via your network. Past performance tells the real story. Ask the right questions and listen closely to the answers.  💡 𝙏𝙝𝙞𝙣𝙠 𝙖𝙝𝙚𝙖𝙙: Can the supplier grow and evolve with your business? Are they innovative and flexible? Does their company culture and ways of working align with yours?  💡 𝙆𝙣𝙤𝙬 𝙩𝙝𝙚 𝙧𝙞𝙨𝙠𝙨: Most suppliers come with some level of risk, the key is understanding and managing it. Conduct due diligence on short-listed suppliers. Outputs should inform the down-selection process, with material deficiency action items included in the contract. 💡 𝘾𝙝𝙤𝙤𝙨𝙚 𝙥𝙖𝙧𝙩𝙣𝙚𝙧𝙨, 𝙣𝙤𝙩 𝙫𝙚𝙣𝙙𝙤𝙧𝙨: The best suppliers care about your long-term success and aligning with your goals.  Look at proposals holistically, thinking beyond the transaction and into value creation. 𝐇𝐞𝐫𝐞’𝐬 𝐭𝐡𝐞 𝐭𝐡𝐢𝐧𝐠: Looking back, I’ve been at firms in seasons where costs were prioritized over total value, often leading to short-term gains but long-term challenges. There were times I should’ve taken a firmer stance about material supplier risks identified and bias in the selection process.  As procurement peeps, we provide recommendations based on long-term value, risk management, and partnership potential. This includes having the courage to speak up with informed and actionable guidance when things don't pass muster. The goal is to ensure sourcing outcomes build a foundation for success, not just a quick win. 📢 𝙋.𝙎. 𝙒𝙝𝙖𝙩 “𝙨𝙘𝙝𝙤𝙤𝙡 𝙤𝙛 𝙝𝙖𝙧𝙙 𝙠𝙣𝙤𝙘𝙠𝙨” 𝙨𝙤𝙪𝙧𝙘𝙞𝙣𝙜 𝙡𝙚𝙨𝙨𝙤𝙣𝙨 𝙬𝙤𝙪𝙡𝙙 𝙮𝙤𝙪 𝙨𝙝𝙖𝙧𝙚 𝙬𝙞𝙩𝙝 𝙮𝙤𝙪𝙧 𝙮𝙤𝙪𝙣𝙜𝙚𝙧 𝙥𝙧𝙤𝙘𝙪𝙧𝙚𝙢𝙚𝙣𝙩 𝙨𝙚𝙡𝙛?

Sourcing and supply chain, pointers from years of practical experience... 🧵 At The Pant Project we come from a family background of ~50 years of experience in textile manufacturing. As a brand, we work with vendors across India to procure the highest quality materials for our product. What have we learnt in this time about how to manage supply chains? 1. Trust is everything. If your vendors trust you to lift goods, make payments, and honour your commitments, then you are golden. If they don’t trust you, then no amount of legal documentation or paperwork can make the relationship work. Trust is built over time, with consistently honouring your commitments. Trust takes a lot of time to build up, and just a few bad experiences to lose forever. 2. Processes > people. At scale, if you are person dependent, things are bound to break. You need to have set standard operating procedures (SOPs) for everything from raw material inward to pre production processes, mid-line inspection, final quality control, packing and dispatch, else you have no way to control irregularities in quality. You also need a kaizen mindset to continuously make micro-improvements. 3. Cost is just one factor in deciding which vendor to partner with. While it’s important to optimise for the right purchase price, there are a host of other things to consider when choosing a manufacturing partner. Speed of delivery, flexibility on minimum order quantities, and quality of the product matter a lot. So it’s a vendor scorecard of all of the above that determine who wins the right to produce what & how much for your brand. 4. Diversify your supply chain, but not too much. While it’s important to have multiple partners for each critical component or SKU to minimise single party dependency risk, it is also important to give meaningful volumes to select partners so you are a relevant part of their annual operating plan and get the priority service that your brand needs. We see too many brands making the mistake of splitting volumes across too many factories before hitting meaningful scale, and they have no control anywhere. Like with any investment portfolio, while diversification protects against the downside, if you know what you are doing, some level of concentration into high conviction bets (factories) leads to outsized returns. 5. Invest in product R&D, it’s worth it in the long run. Becoming a pure commodity player is a race to the bottom. There are real innovations to be made at a yarn level, fabric technology level and garment design & engineering level, and you have to invest the $$$ upfront to reap the long term benefits. So invest in R&D to stay ahead of the curve, and co-create, collaborating closely with your supply chain partners, or run the risk of becoming irrelevant over time. The strength of your supply chain is the backbone of your brand.

https://lnkd.in/gHzRnuBw I've been involved in a number of outsourcing projects throughout my career. TLDR: Outsourcing is not a silver bullet. This week's news about Warren Golf & Country Club closing three F&B outlets highlights that while outsourcing can offer organisational benefits, the risks are real and can lead to business disruptions if not managed well. According to the ST article, one main motivation was financial viability. The club's F&B operations incurred a $337,000 deficit in 2024 while the new operator would pay a monthly rental of $15,000, i.e. a substantial financial turnaround of half a million dollars (from -$300k to +$200k). I think this financial projection is too rosy given that F&B outlets in golf clubs cater mostly to members and there's limited upside in attracting new foodies. Furthermore, the new operator would tighten costs to make the P&L work, which entails squeezing wages (as this contributes 30% to 40% of operating expenses in F&B). But that can compromise recruitment efforts, so it's not surprising that the new operator cited manpower challenges as the reason for pulling out at the last minute. Outsourcing need not be a binary process of going from 100% self-operated to 100% vendor-operated. This is risky, especially if the new operator is coming in cold and has no prior experience of the organisational context and business conditions. There are several ways to deal with this, such as a phased transition or outsourcing only certain aspects of operations (e.g. providing manpower while the principal continues to hold the P&L risk). Perhaps the most important thing I’ve learnt is that outsourcing doesn't automatically solve internal problems. If existing processes are inefficient or poorly managed, transferring them to an external vendor means the vendor will inherit the same problems, often leading to higher costs, service degradation and even contractual termination. #Nofreelunch

📦 Understanding Re-Order Point (ROP) and Replenishment in Warehouse Management 📦 In supply chain and warehouse management, knowing when to reorder stock is crucial for maintaining the right balance between inventory availability and cost efficiency. One of the key concepts in inventory management is the Re-Order Point (ROP). But how do you calculate it accurately? And what are the most effective replenishment strategies? 🔹 What is the Re-Order Point (ROP)? ROP is the threshold at which stock must be replenished to prevent shortages before the next delivery arrives. In other words, it is the minimum inventory level at which a new purchase order should be placed. 🔢 Basic ROP Formula: Without Safety Stock: 📌 ROP = Lead Time (Days) × Average Daily Consumption With Safety Stock: 📌 ROP = (Lead Time × Average Daily Consumption) + Safety Stock 🛠 Example Case: A warehouse has a daily material consumption of 10 units, with a procurement lead time of 7 days. 📌 ROP = 7 × 10 = 70 So, when the stock reaches 70 units, the company should immediately reorder to avoid running out of stock while waiting for the next delivery. 🔹 Effective Replenishment Strategies Determining the ROP alone is not enough. Businesses must also adopt the right replenishment strategy to ensure a steady inventory flow without excessive overstocking. Here are three common strategies: 1️⃣ Just-In-Time (JIT) This approach ensures that stock is ordered only when it is needed. It is suitable for businesses with stable demand and reliable suppliers who can deliver quickly. ✅ Pros: Reduces storage costs and minimizes inventory obsolescence. ❌ Challenges: Highly dependent on a smooth supply chain—any disruption can cause stockouts. 2️⃣ Fixed Order Quantity With this method, orders are placed in fixed quantities whenever the stock reaches the ROP. The order quantity is often based on Minimum Order Quantity (MOQ) or Economic Order Quantity (EOQ). ✅ Pros: Helps maintain consistent stock levels. ❌ Challenges: Can lead to overstocking if demand drops unexpectedly. 3️⃣ Periodic Review System Stock levels are reviewed at fixed intervals (e.g., monthly), and orders are placed accordingly. ✅ Pros: Suitable for items with fluctuating demand. ❌ Challenges: If the review period is too long, stockouts may occur before the next replenishment cycle. 🎯 Conclusion Determining the optimal Re-Order Point (ROP) is essential to ensure stock availability without excessive inventory costs. By understanding consumption patterns, lead time, and choosing the right replenishment strategy, warehouse operations can run efficiently and seamlessly, avoiding both stockouts and overstock situations. 🔥 What ROP and replenishment strategy do you use in your warehouse? Let’s discuss in the comments! #Inventory #Warehouse #Supplychain #SCM #Logistic #Rop #Replenishment

✈️ Route Frequency or Aircraft Capacity: What Really Drives Route Success? Every airline faces this choice on every route. Not because one approach is universally better, but because the right strategy depends on your market, fleet, and competitive reality. Most airlines lean toward one default, but smart network planning means choosing the right tool for each route: • 𝗙𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: More flights, better schedule convenience, higher market share • 𝗖𝗮𝗽𝗮𝗰𝗶𝘁𝘆 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: Larger aircraft, lower unit costs, operational efficiency The trade-offs are clear but context-dependent: • 𝗛𝗶𝗴𝗵 𝗙𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆: Superior market position, but higher costs per seat • 𝗟𝗮𝗿𝗴𝗲𝗿 𝗔𝗶𝗿𝗰𝗿𝗮𝗳𝘁: Cost efficiency gains, but schedule inflexibility The pattern is consistent: frequency builds market share, capacity builds margins. What network planners often miss is the S-curve effect, where early frequency increases drive disproportionate market share gains before hitting diminishing returns. 𝗪𝗵𝗮𝘁'𝘀 𝗜𝗻𝘀𝗶𝗱𝗲: • Decision frameworks for frequency vs. capacity choices • Business model realities for LCCs, Network Carriers, and Regionals • Market dynamics that tip the balance between strategies • Competitive positioning through strategic deployment 𝗕𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀: • LCCs face single aircraft constraints that limit frequency flexibility • Business routes reward frequency premiums, while leisure routes often favor capacity efficiency • Slot-constrained airports favor capacity over frequency deployment • Smart airlines mix strategies: frequency on Route A, capacity on Route B Route optimization works best when fleet planning, network strategy, and operations align on the chosen approach for each market. 𝗟𝗶𝗸𝗲 𝘁𝗵𝗶𝘀 𝗽𝗼𝘀𝘁: 💾 Save for quick reference 🔄 Share with your aviation network As a passenger, do you prefer more flight options or direct routes with larger aircraft? 💬 Share your experience below. #Air52Insights  #Aviation  #NetworkPlanning  #RouteStrategy  #AirlineOptimization

Because wrong inventory replenishment destroys profit and cash... This infographics contains 7 ways for inventory replenishment and when to use each: ✅ Demand Forecasting 👉 Based on: demand ❓ When to Use: variable demand, long lead times, or seasonal trends to prevent stockouts or overstock ➡️ Replenishment Trigger: inventory required per demand plan ✅ Reorder Point 👉 Based on: stock level ❓ When to Use: consistent demand patterns, lead times and safety stock can be calculated reliably ➡️ Replenishment Trigger: inventory reaches a level that considers average daily sales, lead time, and safety stock ✅ Just-In-Time (JIT) 👉 Based on: demand, consumption ❓ When to Use: consistent, predictable production schedules and reliable suppliers ➡️ Replenishment Trigger: inventory required for production ✅ Min-Max 👉 Based on: stock level ❓ When to Use: stable demand, inventory is used consistently, but occasional fluctuations need buffer coverage ➡️ Replenishment Trigger: inventory reaches the minimum level set; the order is to get to the max level ✅ Periodic Ordering 👉 Based on: time period ❓ When to Use: predictable and relatively stable demand ➡️ Replenishment Trigger: regular intervals: weekly, monthly, etc ✅ Anticipation 👉 Based on: expectations about future outlook ❓ When to Use: high seasonality, promotional campaigns, or events requiring large, proactive stock buildup ➡️ Replenishment Trigger: seasonal inventory, expected demand peak, new system implementation ✅ Top-off 👉 Based on: production activity and stock levels ❓When to Use: ensuring storage or line-level inventory readiness before a surge in production or demand ➡️ Replenishment Trigger: in down time, bringing inventory forward to reach capacity levels Any others to add?

🍦 𝗔𝗜 𝗖𝗮𝘀𝗲: 𝗨𝗻𝗶𝗹𝗲𝘃𝗲𝗿 𝗜𝗰𝗲 𝗖𝗿𝗲𝗮𝗺 — 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝗧𝗵𝗮𝘁 𝗥𝗲𝗮𝗰𝘁𝘀 𝘁𝗼 𝗪𝗲𝗮𝘁𝗵𝗲𝗿 & 𝗦𝘁𝗼𝗿𝗲 𝗥𝗲𝗮𝗹𝗶𝘁𝘆 🤔 AI in supply chains isn’t just a promise — it’s already delivering measurable results. 🌡️ 𝗨𝗻𝗶𝗹𝗲𝘃𝗲𝗿’𝘀 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗶𝗰𝗲 𝗰𝗿𝗲𝗮𝗺 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 faces rapid, weather-driven demand swings. Seasonal volatility often outpaces traditional forecasts, leading to lost sales and waste. 📣 𝗛𝗼𝘄 𝗔𝗜 𝗵𝗲𝗹𝗽𝗲𝗱 𝗨𝗻𝗶𝗹𝗲𝘃𝗲𝗿’𝘀 𝗗𝗲𝗺𝗮𝗻𝗱 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗱𝗲𝗺𝗮𝗻𝗱 𝘀𝗲𝗻𝘀𝗶𝗻𝗴 ▪️ Uses daily weather updates from hyperlocal data (temperature, rainfall by city). ▪️ Pulls live data from AI-enabled freezers with IoT sensors tracking SKU presence and quantities. ▪️ Combines POS and distributor sales to reconcile forecasts in near-real-time. ▪️ Adds event and promotion data to refine demand signals. 𝗧𝗵𝗲 𝘀𝘆𝘀𝘁𝗲𝗺 𝘂𝘀𝗲𝘀 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗼𝗿 𝘀𝗵𝗼𝗿𝘁-𝘁𝗲𝗿𝗺 𝗱𝗲𝗺𝗮𝗻𝗱 𝘀𝗲𝗻𝘀𝗶𝗻𝗴 𝘁𝗼 𝗱𝗲𝗹𝗶𝘃𝗲𝗿: 🔹 Weekly rolling forecasts that adjust monthly plans. 🔹 Daily alerts so teams can replenish high-demand SKUs fast (e.g., +5°C triggers orders within 48 hrs). 🔹 Inventory reallocation from low- to high-demand areas before expiry. 📈 𝗞𝗲𝘆 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: ✔️ 10% higher forecast accuracy, reducing waste and missed sales. ✔️ 30% higher retail orders due to proactive replenishment and SKU mix optimisation. ✔️ Lower waste through stock reallocation in cooler periods. ✔️ Faster decisions — from a week to hours. 📍 𝗧𝗵𝗶𝘀 𝘀𝗵𝗼𝘄𝘀 𝗵𝗼𝘄 𝗔𝗜 𝗰𝗮𝗻 𝘁𝘂𝗿𝗻 𝘄𝗲𝗮𝘁𝗵𝗲𝗿 𝗮𝗻𝗱 𝘀𝗮𝗹𝗲𝘀 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝘀 𝘁𝗵𝗮𝘁 𝗰𝘂𝘁 𝘄𝗮𝘀𝘁𝗲, 𝗯𝗼𝗼𝘀𝘁 𝘀𝗮𝗹𝗲𝘀, 𝗮𝗻𝗱 𝘀𝗽𝗲𝗲𝗱 𝘂𝗽 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗲. 👇 𝘞𝘩𝘢𝘵 is 𝘩𝘰𝘭𝘥𝘪𝘯𝘨 𝘭𝘰𝘤𝘢𝘭 𝘤𝘰𝘮𝘱𝘢𝘯𝘪𝘦𝘴 𝘧𝘳𝘰𝘮 𝘭𝘦𝘷𝘦𝘳𝘢𝘨𝘪𝘯𝘨 𝘈𝘐 𝘪𝘯 𝘴𝘶𝘱𝘱𝘭𝘺 𝘤𝘩𝘢𝘪𝘯𝘴?

🚇 [JUST PUBLISHED!] How can flexible train formation and skip-stop operations enhance the efficiency of urban rail transit? This new study by @Feng Li, @Yue Zhang, @Xin Guo, and @Tingxu Chen introduces an integrated optimisation framework that synergises flexible train formation and skip-stop strategies to boost operational efficiency and capacity utilisation. Key takeaways: 🔍 The proposed model optimises train stop schedules, arrival and departure timings, and formation configurations to improve urban rail system performance. 🚉 Flexible train formation dynamically adjusts capacity through coupling/decoupling, aligning real-time service with fluctuating passenger demand. ⏩ Skip-stop strategy reduces travel time by selectively bypassing stations while maintaining accessibility and safety constraints. 📊 Case study on Beijing Subway Line 9 demonstrates: ✅ 24.8% fewer stranded passengers ✅ 13.2% reduction in average waiting time ✅ 14.1% fewer train formations used 🧠 The study’s dual-strategy coordination mechanism establishes a data-driven foundation for intelligent rail transit scheduling and congestion mitigation. 🔗 Read the paper: https://bit.ly/48yKTaT #UrbanRailTransit #TimetableOptimisation #FlexibleTrainFormation #SkipStopStrategy #TransportPlanning #SmartMobility #TransitEfficiency #SustainableTransport #publictransport #scheduling #timetabling

✈️ How Do You Plan a Cargo Airline Network? Here’s a Strategic Blueprint. Network planning in the cargo aviation world isn’t just about drawing lines on a map — it’s a data-driven, market-sensitive balancing act between demand, capacity, and profitability. Whether you’re optimizing an existing network or launching a new route, here’s how we approach it: 🔍 1. Understand Demand Flows Start with trade data, historical cargo movements, and economic indicators. What commodities are moving? From where to where? Look for underserved lanes, imbalances, and seasonality. 📦 2. Analyze Capacity & Competitors What’s already flying in and out? Consider belly capacity in passenger flights, integrator presence (FedEx, DHL, etc.), and other freighter operators. What’s the competition offering — and what gaps can you fill? 🛫 3. Match Aircraft to Markets The right aircraft for the right mission: widebodies for transcontinental hauls, narrowbodies for regional or feeder routes. Factor in load factors, turnaround times, and airport capabilities. 🔁 4. Build a Hub-and-Spoke or Point-to-Point Strategy Should you concentrate volume through key hubs, or serve major markets directly? This depends on your fleet size, transit times, and operational costs. 📈 5. Model Scenarios & Test Resilience Use route profitability models to simulate yield, volume, fuel burn, and crew costs. Don’t forget to model disruptions — weather, fuel price surges, or geopolitical changes can shift everything overnight. ♻️ 6. Continuously Refine with Data Network planning isn’t static. Regularly revisit assumptions, engage with your commercial teams, and track actual vs. forecasted performance. The best cargo networks solve real customer problems — faster, more reliable, or more cost-effective service. That’s the real north star. 🌍📦 #Aviation #ChallengeGroup #NetworkPlanning #AirCargo #AirFreight #Logistics #RouteDevelopment #AviationStrategy #B747 #B767 #B777 #Boeing #LGG