Operational Efficiency Strategies

As Duarte grew, I’d hear feedback that decisions were made too slowly, which confused me. In reality, we didn’t have a system to recognize when the team was asking for a decision. We thought they were just informing us, so decisions would languish. We weren’t ignoring them, failing to act, or even making incorrect decisions... We just didn’t realize a decision needed to be made in the first place. It dawned on the exec team that the lack of clarity during the conversation is what slows teams down. Leaders and teams can share the same language for decision-making. Much of it is about shaping recommendations that actually lead to the right type of action and making the urgency clear. Here’s the shift that changed everything… We started mapping every decision against two factors: urgency and risk. Low risk, low urgency: Decide without me. Your team runs with it. Low risk, high urgency: Inform on progress. They update you, but keep driving. High risk, low urgency: Propose for approval. They bring a recommendation, and you decide together. High risk, high urgency: Escalate immediately. You're in it together, right now. Once my team understood which quadrant a decision lived in, they knew exactly how to approach me. And I knew exactly what my role was. The framework gave us a shared language. People can’t act on ideas if they don’t understand how decisions are made. Leaders should define how recommendations move from idea to approval to action. That transparency keeps progress from stalling. Remember: One of the biggest threats to your company isn't a lack of good ideas. It's a lack of clarity. #Leadership #ExecutiveLeadership #OrganizationalCulture #DecisionMaking

With Beijing instructing its automakers to keep EV technology domestic, it's a clear reminder for India to build its "Made-in-India" battery ecosystem to become Atmanirbhar. Self-reliance will help secure our production processes from geopolitical conflicts and supply chain disruptions. China currently produces 99% of the global graphite anode and 95% of LFP cathode materials, making India highly vulnerable to supply chain interruptions. Without a strong domestic supply chain, India risks falling behind in the EV growth and could face national security issues if access to these critical raw materials is restricted. The Indian government needs to push the development of localization for these key components to avoid such risks. A recent report on ‘E-mobility: Cell manufacturing in India’ by Arthur D. Little states that India needs to invest over USD 10 billion in cell processing & manufacturing to meet local LiB battery demand by 2030 and generate 1 million new jobs. This is an ambitious goal, but not an unattainable one. With large investments in R&D, supportive government policies, foreign direct investment, and collaboration between stakeholders in the EV ecosystem, we will be able to achieve it for sure towards becoming Viksit Bharat. #BatteryManufacturing #SupplyChain #SelfReliance #EV #MadeInIndia #EMobility #ViksitBharat https://lnkd.in/gCeUCB5t

OKRs are destinations. KPIs are your map.  Ignore either and you won't scale.  No great business was ever built on guesswork and opinions. You need systems that tell you where you need to go,  And whether you're actually getting there. Two of those systems are OKRs and KPIs, respectively. The difference between a 7-figure exit and an 8-figure one is a founder who uses both correctly. Here's everything you need to know to approach them correctly: Objective Key Results (OKRs) A system for setting direction.  OKRs define what success looks like. What They’re Great For: - Setting ambitious growth goals. - Aligning teams around one clear outcome. - Turning long-term strategy into short-term action. When to Use Them: - You’re scaling quickly and need focus. - You want your team rowing in the same direction. - You’re setting quarterly or annual priorities. Questions To Ask: Which single result would make the biggest impact today? Are our goals stretching, or just safe? Can every team member explain what success looks like? End Goal: Everyone knows the mission, the milestones, and the measurement. KPIs (Key Performance Indicators) Metrics that indicate if your systems are healthy, efficient, and improving. Without them, you’re guessing where things are breaking. What They’re Great For: - Monitoring business health. - Keeping performance consistent. - Highlighting problems early. When To Use Them: - You want to measure stability, not just growth. - You’re tracking ongoing performance. - You’re managing teams or systems that run continuously. Questions To Ask: Which metrics prove we’re on track? What early indicators warn us when something’s off? Are we measuring progress or just activity? End Goal: Visibility and consistency. You can’t improve what you don’t measure. TL;DR: OKRs tell you where your business is headed. KPIs tell you if you're on the right path. If you don't understand the difference,  You'll be trying to reach a destination without a map.  Are you setting/tracking both KPIs and OKRs?  Drop a comment below. I break down frameworks like this every week in my newsletter, Step By Step. Join 200k+ founders learning how to build better businesses https://lnkd.in/eUTCQTWb ♻️ Repost to help founders in your network scale smarter.  And follow Chris Donnelly for more on building and scaling.

Firing middle managers won't accelerate decisions. The bottleneck just moves up. The middle-management culling continues. The promise: fewer layers means faster data and quicker decisions. Yet most organizations repeat the same mistake. When every meaningful decision still needs approval from the same five executives, you haven't solved anything. You've just hit the bottleneck faster. We've been here before: → ERP systems would revolutionize decision-making → Big data would unlock instant insights → Digital transformation would make us agile Now it's AI and flat hierarchies. Same promise, different wrapper. LegacyCo's governance trap isn't about having too many managers. It's about concentrating judgment at the top while expecting speed at the edges. "Have we pressure-tested this fully?" "What's our governance for downside risk?" "We need stronger stakeholder alignment." This isn't prudence. It's paralysis dressed as process. While others added approval layers, Ritz-Carlton gave frontline staff $2,000 discretionary authority. Decision time: days to minutes. Customer satisfaction: soared. The difference wasn't fewer managers. It was judgment distributed to where information lives. NewCo architects judgment into the system itself. Two roles make this possible: Forward Deployed Engineers (FDE): Technical talent with deployment authority. They see the problem, they fix it. No tickets, no committees. Operational Technologists (OpTech): Business experts who implement their own solutions. The person who knows the process can now improve the process. One brings code. One brings context. Both exercise judgment at market speed. An important distinction to make: distributed judgment without guardrails creates chaos, not speed. NewCo architects trust into the system: → Define clear decision boundaries upfront → Give teams authority within those boundaries → Treat every choice as an experiment → Measure outcomes in real-time, not quarterly → Escalate by exception, not default This is orchestrated judgment - wisdom scaled through systems, not hierarchies. To scale judgment means developing wisdom across the organization, not hoarding it at the top. This requires: → Clarity: Teams who understand impact, not just metrics → Discernment: Knowing which battles matter → Taste: Recognizing quality without committees → Connection: Building trust that enables autonomy Juniors tackle harder problems sooner. Teams develop judgment through practice, not observation. LegacyCo: "Check with me before you move" NewCo: "Move within these boundaries" One question leads to faster bottlenecks. The other leads to market-speed execution. The winners won't have the flattest org charts. They'll have the most distributed judgment. The question isn't how many managers to fire. It's how much judgment you're willing to trust others with.

Reducing Steel Logistics Costs in India: Strategic Framework Logistics accounts for 10–20% of steel’s delivered cost and up to 28% of factory cost. Reducing this burden is key to improving competitiveness. A multi-pronged strategy involving infrastructure, modal shifts, digital tools, and policy reforms can yield significant savings. 1. Shift to Rail, Water, and Pipelines Road transport, though flexible, is 2–3x costlier. Rail movement via rakes and sidings can cut costs by 20–30%. Inland waterways (e.g., Ganga, Brahmaputra) save 40–60% for long-haul bulk cargo. Slurry pipelines, at Rs. 80–100/tonne for 250 km, are vastly cheaper than rail or road and must be expanded for inland plants. 2. Leverage PFTs and DFCs Private Freight Terminals reduce first/last-mile costs. Eastern and Western DFCs offer faster, reliable movement. Time-tabled rakes and rake-sharing improve predictability and lower costs. 3. Improve First & Last-Mile Efficiency Rail sidings, Ro-Ro services, and containerization reduce handling loss and costs. Better road access to ports via PPPs boosts multimodal efficiency. 4. Upgrade Infrastructure Developing dedicated rail/road corridors and multimodal logistics parks under Bharatmala and Sagarmala enhances connectivity. Coastal hubs at Vizag, Kandla, Paradip allow direct port loading, avoiding double handling. 5. Adopt Technology Use of Transport Management Systems (TMS), GPS tracking, and AI-based route optimization improves asset utilization and reduces fuel use. Automation in loading/unloading cuts turnaround time and damages. 6. Streamline Supply Chain Set up regional hubs near consumption centers. Aggregate demand to enable full-rake dispatch. Just-in-Time (JIT) inventory models cut warehousing and demurrage. Collaborate with 3PLs for cost-effective delivery and tracking. 7. Align with Policy & Incentives Leverage the National Logistics Policy’s aim to reduce logistics costs to 5–6% of GDP. Tap freight subsidies, tax incentives for logistics infra, GST pass-through, and single-window clearance for sidings and terminals. 8. Optimize Last-Mile & Maintenance Route planning tools reduce last-mile costs. Strategically located warehouses shorten delivery time. Preventive maintenance of fleets improves uptime and fuel efficiency. Impact Snapshot Rail over road: 20–30% cost saving Waterways: 40–60% Route optimization/backhauling: 10–15% Terminal/siding access: 5–10% Conclusion Combining modal shift, infrastructure upgrades, tech adoption, and policy alignment can reduce logistics costs by up to 40%. This is critical to meeting India’s steel production target of 255–300 million tonnes by 2030 and boosting global competitiveness.

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.

Manufacturing Efficiency is More Than Numbers…It’s Transformational Science that Delivers Value. In my experience of deploying continuous process improvement, I’ve seen one truth repeat itself: small changes in cycle time create massive changes in organizational success. Consider a real-world example from a Fortune 500 distribution center. The facility struggled with a 12-hour lead time from order receipt to shipping. When we applied Manufacturing Cycle Time (MCT) and Manufacturing Cycle Efficiency (MCE) analysis, the data revealed that only 35 percent of production time was true value-added work. The rest was waiting, unnecessary movement, or inefficient scheduling. Through Lean tools like value stream mapping, Kaizen events, and standard work design, we cut average lead time from 12 hours to 8 hours. That 4-hour reduction meant faster customer fulfillment, increased throughput capacity, and a remarkable financial impact, more than 3.2 million dollars in annualized savings through reduced overtime, lower inventory holding costs, and fewer expedited shipments. The return on investment went far beyond financials. Employees who once felt pressured by bottlenecks were now empowered to work in a smoother, more predictable system. Morale increased as they could focus on craftsmanship and problem-solving rather than firefighting. When people feel their contributions directly improve performance, you build a culture of ownership and innovation. I have led these transformations across industries, from aerospace to government services and the outcomes are consistent. The combination of measuring cycle efficiency and acting on it with Lean methods delivers scalable success. Organizations gain profitability, employees gain pride, and customers gain trust. Continuous improvement is not just about efficiency metrics. It is about unlocking hidden capacity, protecting margins, and most importantly, enabling people to thrive in environments designed for excellence. That is the real power of Lean.🔋

Are you measuring what matters in your organization? A comprehensive measure of organizational effectiveness includes much more than profit margins and growth rates. The market and media often celebrate companies that show rapid financial growth or high profitability, leading to a cultural bias towards these metrics as signs of success BUT the tide is slowly turning- more businesses are recognizing the long-term value of a holistic approach to effectiveness and success. Many more businesses are embracing the concept of the "Triple Bottom Line," which measures success not just by financial profit ("Profit"), but also by the company's impact on people ("People") and the planet ("Planet"). HOWEVER 🚨 There is more work to be done! The prioritization of non-financial elements of organizational success can get pushed aside when financial pressures hit or quick results are valued. You have probably heard the phrase "What gets measured gets managed". This is generally true. Quantifying and measuring non-financial aspects of effectiveness, such as employee well-being, social impact, and workplace culture, is hugely important but remains challenging. 💡 Here's some straightforward steps to move you towards a more holistic approach to measuring success: 𝐒𝐭𝐚𝐫𝐭 𝐰𝐢𝐭𝐡 𝐜𝐥𝐞𝐚𝐫 𝐠𝐨𝐚𝐥𝐬: Define what holistic success means for your organization. This could include specific targets related to employee well-being, social impact, and environmental sustainability. 𝐄𝐧𝐠𝐚𝐠𝐞 𝐬𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫𝐬: Talk to employees, customers, and community members to understand what aspects of your business matter most to them. Their insights can help shape your holistic success framework. 𝐂𝐡𝐨𝐨𝐬𝐞 𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐭 𝐦𝐞𝐭𝐫𝐢𝐜𝐬: Based on your goals and stakeholder feedback, pick metrics that are meaningful and manageable. For example, employee satisfaction can be measured through regular surveys, while environmental impact can be tracked through energy consumption or waste reduction metrics. 𝐔𝐬𝐞 𝐞𝐱𝐢𝐬𝐭𝐢𝐧𝐠 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: Look into established frameworks (like GRI or B Corp standards for sustainability; Gallups Q12 Engagement Survey for employee engagement or the Denison Organizational Culture Model to measure workplace culture). There are existing frameworks for most known elements of organizational effectiveness so it's just a matter of looking into them. 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 𝐢𝐧𝐭𝐨 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐦𝐚𝐤𝐢𝐧𝐠: Ensure that these holistic metrics are part of regular business reviews and decision-making processes, not just side projects. 𝐑𝐞𝐩𝐨𝐫𝐭 𝐭𝐫𝐚𝐧𝐬𝐩𝐚𝐫𝐞𝐧𝐭𝐥𝐲: Share your progress openly, including both successes and areas for improvement. Transparency builds trust and credibility. 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Be prepared to adapt and refine your approach as you learn what works and what doesn't. This is a journey, not a one-time task. #organizationaleffectiveness #measurewhatmatters #leaders

Nike is cutting 40% of its SKUs. And still can’t hit DTC growth targets. This is what happens when a brand built for speed loses grip on its own flywheel. For a company that practically invented demand creation, Nike’s “Win Now” strategy is a full-court press on fundamentals. Tighter calendar. Fewer styles. Less promo. More SNKRS drops timed to real sport moments. On paper, it’s brilliant. In practice, it’s a reset dressed as urgency. And the most interesting part? They're walking back into wholesale. Foot Locker. JD Sports. Dick’s. But this time with a rule: full-price or don’t bother. Because here’s what’s really going on. Nike is trying to rewire the engine without cutting the lights. 🎯 App sales still make up 27% of revenue. 📉 But DTC is down 3% year-on-year. ⛔️ CCO role scrapped. DTC and wholesale now both report to the CFO. 👟 First signs of lift? Running category up 20%. 💰 Wholesale order book back in the green for Spring 2026. This isn’t a pivot. It’s a double-bet. If direct-to-consumer wins, they control the margin and the data. If wholesale holds, they ride someone else’s traffic without the chaos of returns and CAC. And that’s the real strategy shift: less purity, more blended power. Let the members chase the drops. Let the shelves sell the staples. Let the algorithm decide who gets what, when. Operators, take notes: 🧭 Strip your offer to the essentials 📦 Don’t let DTC ego block profitable wholesale 🔁 Use physical and digital like valves, not silos 🏗️ Rebuild team structures to reflect blended flows ⏱️ Tighten the supply chain to feed momentum, not just demand It’s not Win Now. It’s Survive Lean, then Scale Smart. #ecommerce #DTCstrategy #marketplaces #retailtransformation #brandstrategy

Too many AI strategies are being built around the technology instead of the business challenges they should solve. The real value of AI comes when it is directly tied to your goals. I have arrived at seven lessons on how to align your AI strategy directly with your business goals: 1. Start with the "why," not the "what." Before discussing models or tools, ask what business problem you need to solve. It could be speeding up product development, or cutting operational costs. Let that answer be your guide. 2. Think in terms of business outcomes. Measure AI success by its impact on metrics like revenue growth or employee productivity not by technical accuracy. 3. Build a cross-functional team. AI can't live solely in the IT department. Include leaders from all relevant departments from day one to ensure the strategy serves the entire business. 4. Prioritize quick wins to build momentum. Identify a few small, high-impact projects that can deliver results quickly. This builds organizational confidence and makes people ready to take on larger initiatives. 5. Invest in data foundations. The best AI strategy will fail without clean and well-governed data. A disciplined approach to data quality is non-negotiable. 6. Focus on change management. Technology is the easy part. Prepare your people for new workflows and equip them with the skills to work alongside AI effectively. 7. Create a feedback loop. An AI strategy is not a one-time plan. Continuously gather feedback from users and analyze performance data to adapt and refine your approach. The goal is to make AI a part of how you achieve your objectives, not a separate project. #AIStrategy #BusinessGoals #DigitalTransformation #Leadership #ArtificialIntelligence