Innovation isn’t just about new products. It’s about how you structure, deliver, and capture value—across your entire business model. In their book, "Ten Types of Innovation" (2013), Keeley et al. outline a powerful framework outlining no less then 10 types of innovation: Configuration 1. Profit Model – How you make money 2. Network – How you collaborate 3. Structure – How you organize 4. Process – How you operate Offering 5. Product Performance – What you offer 6. Product System – How offerings work together Experience 7. Service – How you support users 8. Channel – How you deliver value 9. Brand – How you're perceived 10. Customer Engagement – How you foster loyalty Most innovation efforts focus narrowly on the product. But real advantage comes from orchestrating multiple innovation types, often in combination. If you're looking for new strategic levers, this framework is a great place to start. Which of the ten are you already investing in?
Business Model Innovation
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Your MVP: Your Most Vulnerable Prototype! Ah, the MVP. No, it’s not your company’s Most Valuable Player. It’s the Minimum Viable Product, that scrappy little thing you send out into the world, hoping it survives, learns, & evolves into something people want to use. Think of it as your product’s awkward middle school phase—braces, bad haircuts, & all. & if you’re too proud of it? Reid Hoffman says it best: “If you're not embarrassed by the first version of your #product, you've launched too late.” Let’s clarify: Your MVP isn’t meant to win beauty contests or sit on a pedestal. It’s not meant to be perfect. It’s meant to hit the ground running, trip a few times, & figure out how to get better. SU research shows that companies obsessed with over-polishing their #products before launch often face higher failure rates. Why? Because they waste time-solving problems customers don’t care about while missing the chance to solve the ones they do. Imagine your MVP as a bicycle made of duct tape & hope. It might wobble, but it moves forward. Here’s what it doesn’t need to be: • A luxury car: No bells, no whistles, & no heated seats. • A spaceship: It’s not launching to Mars. It’s just crossing the street. Instead, it should do one thing well—not five things poorly, not ten things “meh.” Just one thing that solves a real problem for real people. Think about it: Instagram started as a check-in app called Burbn. Twitter was a podcast platform. Airbnb’s early website photos looked like a Craigslist ad gone wrong. But they all launched early, iterated fast, & learned from real users. That’s the point of an MVP—it’s not a finished product; it’s a feedback machine. According to a CB Insights study, 42% of startups fail because they don’t meet market needs. Launching an MVP helps you avoid this fate by putting your product in front of users who will tell you—sometimes brutally—what works & what doesn’t. 1. Focus on function: If your MVP is a chair, it must hold someone’s weight. Don’t worry about mahogany finishes or gold-plated legs. 2. Start ugly. Your first version will likely look like a potato with buttons. That’s okay; potatoes are versatile. 3. Gather feedback fast: Get your product to users who aren’t your mom. They’ll tell you what’s broken, confusing, or just plain bad. 4. Iterate ruthlessly: Treat feedback as gold, not glitter. Use it to improve, evolve, & adapt. Your MVP is a test, not a trophy. It’s the baby bird you push out of the nest to see if it can fly—or at least glide without face-planting. The goal isn’t to impress; it’s to learn, adapt, & grow. So, embrace the awkwardness, the embarrassment, & even the failures. They’re not just part of the process—they are the process. When someone asks why your product looks like it was made in someone’s garage, you can smile & say, “Because it was. But wait—this is only the beginning.” Now, go launch that potato with buttons! #startups #leanstartups #entrepreneurship
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Innovation isn’t about making what you sell better; it’s about selling something better. Most often when people think of the objectives of digital transformation, they focus on production optimization or cost reduction. But I would argue the real value comes from transforming the way you provide and capture value to customers. 𝐓𝐡𝐫𝐞𝐞 𝐞𝐱𝐚𝐦𝐩𝐥𝐞𝐬 𝐨𝐟 𝐧𝐞𝐰 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐦𝐨𝐝𝐞𝐥𝐬: 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 Manufacturers have traditionally sold physical products; however, with the increasing popularity of digital services such as software or cloud-based solutions, many manufacturers are now offering digital services as well. These digital services can be anything from providing access to a web portal for customers to tracking performance data for their equipment. By selling digital services, manufacturers can not only increase their profits but also gain a better understanding of customer needs which they can use to refine their products and services accordingly. 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧 & 𝐀𝐬-𝐀-𝐒𝐞𝐫𝐯𝐢𝐜𝐞 The subscription business model has become increasingly popular among manufacturers as it allows them to offer customers more flexibility when purchasing their products or services. Instead of customers buying a one-time product or service, they can subscribe on an ongoing basis instead which means they get access to the latest updates and features without having to purchase a new product each time. 𝐎𝐮𝐭𝐜𝐨𝐦𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐧𝐭𝐫𝐚𝐜𝐭𝐬 This type of contract typically involves setting an agreed upon outcome that both parties agree on before signing any agreements. For example, if a manufacturer agrees to provide hardware maintenance for its customers for a certain number of years then it will receive payment once those conditions have been met instead of upfront payments like in traditional contracts. In such arrangements, manufacturers assume more responsibility for delivering results; thus increasing their risk but also allowing them to capture more value from customers if successful. ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!
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Running LLM-powered applications shouldn't drain your budget. While you're excited about building your next GenAI project, knowing how to optimize LLM costs is essential for long-term success. LLM cost optimization involves multiple complementary strategies to reduce inference expenses while maintaining performance. Input optimization focuses on efficient prompt engineering and context pruning to minimize token usage, ensuring only essential information is processed. Model selection involves choosing right-sized models for specific tasks, preventing resource waste from oversized models while maintaining accuracy. Model optimization techniques like quantization and pruning reduce model size and computational requirements without significantly impacting performance. Distributed processing leverages distributed inference and load balancing to optimize resource utilization across multiple machines, improving throughput and cost efficiency. Caching strategies implement response and embedding caches to avoid redundant computations, storing frequently requested responses and pre-computed embeddings for quick retrieval. Output management implements token limits and stream processing to control response lengths and optimize data flow. System architecture considerations include batch processing to maximize throughput and request optimization to reduce unnecessary API calls. Together, these strategies form a comprehensive approach to LLM cost optimization, balancing performance requirements with resource efficiency. The key is implementing these strategies in combination, as each addresses different aspects of LLM deployment costs. Success requires continuous monitoring and adjustment of these strategies based on usage patterns, performance requirements, and cost metrics. Know more about such LLM cost optimization strategies and techniques in this blog: https://lnkd.in/gMvbg6Se Subscribe to my YouTube channel to know & understand more in-depth concepts on Generative AI: https://lnkd.in/gmAKSxKJ
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₹223 Crore Dairy Playbook: How One IT Executive Turned Cows Into a Data-Driven Business India doesn’t have a dairy shortage. It has an efficiency problem. The traditional model is low-yield cattle, unstructured feeding, no data, and middlemen-heavy distribution. The new model is high-yield genetics, precision nutrition, real-time tracking, and direct-to-consumer delivery. This shift is powering a new-age dairy business. Built by Deepak Raj Tushir through Binsar Farms. From 50 cattle to a ₹223 Crore enterprise. This isn’t farming. This is Agri-Tech execution. ✅ THE NUMBERS 1. Herd size: 50 → 450+ high-yield cows 2. Daily milk output: 7,000–8,000 litres 3. Annual revenue: ₹223 Crore 4. Net margins: 5–6% 5. Cold chain speed: Milk chilled to 4°C within 2 hours Low margin. High discipline. Massive scale. This is how dairy actually makes money. ✅ From IT Job to Agri-SaaS Thinking This wasn’t a career switch. It was a systems upgrade. DNA testing for herd selection, data tracking for every cow, predictive health monitoring and feed optimisation through PMR. Every cow = a data point. Every litre = a measurable output. This is SaaS thinking applied to agriculture. ✅ Where the Real Money Is Made Milk is not the business. Control is. 1. 200-acre contract farming loop. 2. Guaranteed fodder supply 3. Predictable input costs 4. Consistent output quality Add to that A2 milk positioning, high-margin products: ghee, paneer, curd, lassi, and direct delivery within 12–24 hours. Remove middlemen. Capture margin. That’s the playbook. ✅ The New Dairy Stack What changed? Not the cow. The system around it. 1. Genetics → Higher yield per animal 2. Nutrition → Better milk solids 3. Monitoring → Lower disease loss 4. Cold chain → Zero wastage 5. Old dairy = volume game 6. New dairy = efficiency game ✅ The Reverse Brain Drain Signal This story is bigger than one company. It signals a shift from: - Urban professionals → entering agriculture - Tech mindset → applied to primary sectors - Farming → becoming structured, scalable, investable 120+ jobs created. Dozens of farmers integrated. Agriculture → from survival to income engine. ✅ The Hidden Moat Nobody Talks About It’s not branding. It’s not even A2 milk. The real moat is: Supply chain control, data-led herd management and feed security through contract farming. Because in dairy, if you control input + output, you control profit. ✅ Let me share the #Rajspectives 1. Dairy isn’t low-margin. Bad systems are. 2. Data is the new cattle breed advantage. 3. Vertical integration beats market dependency. 4. Cold chain is the difference between profit and loss. The future of farming is not rural. It’s intellectual. India’s next big startups won’t just come from apps. They’ll come from farms run like companies. Because when engineering meets agriculture, the output isn’t just milk. It’s a predictable, scalable cash flow. #india #agritech #dairy #business #strategy #sales
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💡Combining Design Thinking, Lean UX, and Agile A combination of Design Thinking, Lean UX, and Agile methodologies offers a powerful approach to product development—it helps balance user-centered design with efficient concept validation and iterative product development. 1️⃣ User-centered foundation (Design Thinking): Begin by understanding the needs, emotions, and problems of the end-users. ✔ Start by conducting user research to identify and understand user needs. ✔ Gather insights through direct interaction with users (e.g., through interviews, surveys, etc.). Spend time understanding users' behavior, focusing on "why" rather than "what" they do. ✔ After gathering research, prioritize the most critical user insights to guide your design focus. Create a 2x2 matrix to prioritize insights based on impact (high vs low business impact) and feasibility (easy vs hard to implement) ✔ Begin brainstorming potential solutions based on these prioritized insights and formulate a hypothesis. Encourage cross-functional collaboration during brainstorming sessions to generate diverse ideas. 2️⃣ Hypothesis-driven testing (Lean UX): Lean UX helps quickly validate key assumptions. It fits perfectly between Design Thinking's ideation and Agile's development processes, ensuring that critical hypothesis are validated with users before actual development started. ✔ Formulate a testable hypothesis around a potential solution that addresses the user needs uncovered in the Design Thinking phase. ✔ Conduct experiment—develop a Minimum Viable Product (https://lnkd.in/dQg_siZG) to test the hypothesis. Build just enough functionality to test your hypothesis—focus on speed and simplicity. ✔ Based on the experiment's outcome, refine or revise the hypothesis and repeat the cycle. 3️⃣ Iterative product development (Agile): Once the Lean UX process produces validated concepts, Agile takes over for incremental development. Agile's iterative sprints will help you continuously build, test, and refine the concept. Agile complements Lean UX by providing the structure for frequent releases, allowing teams to adapt and deliver value consistently. ✔ Break down work into small, manageable chunks that can be delivered iteratively. ✔ Embrace iterative development—continue refining your product through iterative build-measure-learn sprints. Keep the user feedback loop tight by involving users in sprint reviews or testing sessions. ✔ Gather user feedback after each sprint and adapt the product according to the findings. Measure user satisfaction and track usability metrics to ensure improvements align with user needs. 🖼️ Design thinking, Lean UX and Agile better together by Dave Landis #UX #agile #designthinking #productdesign #leanux #lean
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Do you want to create radical innovations? Then stop thinking in just one dimension. One of the models I use most—especially when aiming for radical innovation—is the “10 Types of Innovation” by Larry Keeley and his co-authors. Why? Because it forces you to look beyond the product. Most organisations innovate in just one or two areas: • A better product • A new feature • Maybe a shiny service That’s not enough. True innovation happens when you combine multiple types: • Profit model • Network • Structure • Process • Product performance • Product system • Service • Channel • Brand • Customer engagement Here’s the key insight: If you want something truly new, you need to tick at least five of these boxes. Not one. Not two. Five. That’s when competitors struggle to copy you. That’s when customers feel the difference. That’s when innovation becomes strategic—not incremental. So next time you work on an idea, ask yourself: How many boxes are we really ticking? #innovation #strategy #businessinnovation #leadership #growthmindset #disruption #innovationmanagement #futureofwork
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Africa’s banks are sitting on a $1 trillion secret. For decades, the narrative around African agriculture was about "subsistence." In 2026, that narrative is dead. The real opportunity isn't just in the soil, it's in the Value Chain. According to the African Development Bank Group, Africa’s food and agriculture market could reach $1 trillion by 2030. But it won't get there just by growing more maize or cocoa. We get there by: ✅ Processing at the Source: Exporting raw commodities caps margins. Processing creates brands, pricing power, and FX resilience. This is where agri turns into consumer and industrial cash flow. ✅ Fixing the "Cold Leak": Up to 40% of food is lost after harvest. Cold storage, transport, and aggregation unlock immediate yield without planting a single extra seed. Few assets have clearer ROI on the continent right now. ✅ Digital Off-taking: Startups are eliminating the middleman tax by connecting farmers directly to urban and industrial buyers. This creates predictable demand, contract-backed revenues, and financeable cash flows. Yet most capital still avoids agribusiness because it is labelled “high risk.” That risk profile has changed. IoT tracking, mobile collateral, and guaranteed off-take contracts are making agri-infrastructure one of the most de-risked real asset plays in emerging markets. The Reality: If you aren't looking at the infrastructure behind the farm, you're missing the biggest economic shift of the decade.
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Most people think “innovation” only means inventing a new product. That’s a narrow view. Joe Tidd and John Bessant offer a much more powerful lens: the 4Ps of Innovation Space — a framework to spot, classify, and intentionally design innovation across your organisation. ☑ Product Innovation ↳ Changes in what the organisation offers. ↳ iPhone, Tesla’s EVs, and Telemedicine in hospitals. ☑ Process Innovation ↳ Changes in how things are made or delivered. ↳ Lean production at Toyota, Amazon's warehouse automation, and online banking. ☑ Position Innovation ↳ Changes in how products are perceived or positioned. ↳ Lucozade is pivoting to an energy drink and baking soda as a deodoriser. ☑ Paradigm Innovation ↳ Changes in the underlying business model or mental model. ↳ Netflix shifting to streaming, Airbnb’s platform model, and microfinance disrupting traditional banking. These 4 types of innovation unlock new possibilities. Here’s why this matters: ↳Most orgs focus only on products and miss other high-impact levers. ↳Operational or positioning changes can be cheaper, faster, and equally valuable. ↳Paradigm shifts are hard — but that’s where market leaders are made. You don’t need to reinvent the wheel. You need to innovate from multiple angles. Start with this question: Which of the 4Ps are we currently underutilising? P.S. If you like content like this, please follow me.
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10 common pitfalls that prevent circular business models from scaling Many circular initiatives start strong and fade before reaching scale. The issue is rarely financial viability. It lies in how companies design, integrate, and govern their models within broader sustainability and ESG strategies. The Ellen MacArthur Foundation analyzed the experiences of over 30 companies and identified 10 recurring internal pitfalls that limit growth. Each reflects a lack of strategic, governance, and operational alignment. First, many companies think small. They run pilots without planning for scale or fail to connect circular models to the company’s sustainability roadmap and strategic goals. Second, initiatives often sit outside core business priorities. When circular models are framed as isolated sustainability projects instead of growth strategies, they struggle to gain leadership support and investment. Third, there is a mismatch between the business model and the organization. Some companies pursue resale or rental without assessing whether internal capabilities, governance structures, or supply chains can sustain them. Fourth, customer experience is overlooked. Circular models change how value is delivered and require designing new interactions that fit consumer behavior and expectations. Fifth, product alignment is ignored. Not every product fits every circular model, and forcing the match can undermine desirability, financial returns, and ESG performance. Sixth, teams fail to lead with the financial case. Circular business models can enhance resilience, profitability, and long-term value creation — but this must be expressed in financial and strategic terms. Seventh, financial KPIs are too limited. Broader indicators such as risk reduction, innovation, stakeholder trust, and supply chain resilience should be integrated into ESG reporting frameworks. Eighth, leadership maintains a short-term mindset. Scaling circularity demands a long-term perspective aligned with governance, capital allocation, and sustainability targets. Ninth, internal collaboration is weak. Successful circular models depend on cross-functional integration, shared accountability, and leadership sponsorship that connects sustainability and business performance. Tenth, partnerships lack structure and data alignment. Effective collaboration with suppliers and service providers requires clear governance mechanisms and shared impact measurement. Circular business models can thrive when embedded into corporate sustainability strategy, supported by clear governance, and aligned with financial and ESG goals. How are companies integrating circularity into their core business strategy rather than treating it as an isolated initiative? #sustainability #esg #circularity