Industry Analysis Techniques

This is the most underrated way to use Claude: (and it has nothing to do with writing or coding) It's competitive intelligence. Using data that's free, public, and updated every single week. Here's my extract step by step guide: Step 1. Go to claude .ai. Step 2. Select the new Claude "Opus 4.6." Step 3. Turn on "Extended Thinking." Step 4. Pick a competitor. Go to their careers page. Step 5. Copy every open job listing into one doc. (Title. Team name. Location. Full description) Step 6. Save it as one .txt or .docx file. Step 7. Search the company at EDGAR (sec .gov) Step 8. Download its recent 10-K or 10-Q filing. (Official strategy, risks, and financials - all public.) Step 9. Upload both files to Claude Opus 4.6. Step 10. Paste this exact prompt: "You are a competitive intelligence analyst at a rival company. I've uploaded [Company]'s complete current job listings and their most recent SEC filing. Perform a strategic intelligence analysis: → Cluster these roles by what they suggest is being built. Don't use the team names they've listed. Infer the actual product initiatives from the skills, tools, and responsibilities described. → Identify capabilities or teams that appear entirely new — not mentioned anywhere in the SEC filing. These are unreleased bets. → Find roles where seniority is disproportionately high for a new team. This signals executive-level priority. → Cross-reference the SEC filing's Risk Factors and Strategy sections with hiring patterns. Where are they investing against a stated risk? Where did they flag a risk but have zero hiring to address it? → Predict 3 product launches or strategic moves this company will make in the next 6-12 months. State your confidence level and cite specific job titles and filing sections as evidence. Format this as a 1-page competitive intelligence briefing for a CMO." What you'll find: → Products that don't exist yet but will in 6 months. → Priorities that contradict what the CEO said. → Risks they told the SEC but aren't addressing. This is what consulting firms charge $200K for. It took me 10 minutes. I used the new Claude 'Opus 4.6' for a reason: ✦ It read 60 job listing & a 200-page filing together.  ✦ And connects dots across both. ✦ It is superior in thinking and context retrieval. That's why I didn't use ChatGPT for this.

I once lived at distributor’s home in a small town because I had no choice... When Marico Limited was nascent, Bombay Oil Industries was still the family’s backbone. In those early days, I wanted our business to transform from a commodity trade into a branded consumer company. To do that, I had to understand the ground truth. There were no fancy hotels in the towns we visited. I stayed in dusty and small guest rooms. I sat with distributors over chai and samosas. I watched how coconut oil was stored, how shopkeepers priced it, how packaging changed hands. One day, a retailer told me matter-of-factly: “You always sell big tins. When people come back to buy, they carry a few kilos. If your packet is small, they will pick your brand at convenience.” That simple insight was a turning point. It nudged us to expand SKU ranges, introduce smaller packs, and think about how to become a “grab-and-go” brand, rather than just a bulk commodity supplier. If you ask me where innovation begins, it begins in the least glamorous places. In the musty shelves of neighbourhood stores, in conversations that feel insignificant, in paying attention to what people don’t say aloud. Takeaway for entrepreneurs: Your real research lab isn’t spreadsheets or agencies. It’s the ground. If you go build empathy for your customer at the shelf level, the brand strategy almost builds itself. #entrepreneurship #business #resilience #mindset #growth

After spending three decades in the aerospace industry, I’ve seen firsthand how crucial it is for different sectors to learn from each other. We no longer can afford to stay stuck in our own bubbles. Take the aerospace industry, for example. They’ve been looking at how car manufacturers automate their factories to improve their own processes. And those racing teams? Their ability to prototype quickly and develop at a breakneck pace is something we can all learn from to speed up our product development. It’s all about breaking down those silos and embracing new ideas from wherever we can find them. When I was leading the Scorpion Jet program, our rapid development – less than two years to develop a new aircraft – caught the attention of a company known for razors and electric shavers. They reached out to us, intrigued by our ability to iterate so quickly, telling me "you developed a new jet faster than we can develop new razors..." They wanted to learn how we managed to streamline our processes. It was quite an unexpected and fascinating experience that underscored the value of looking beyond one’s own industry can lead to significant improvements and efficiencies, even in fields as seemingly unrelated as aerospace and consumer electronics. In today’s fast-paced world, it’s more important than ever for industries to break out of their silos and look to other sectors for fresh ideas and processes. This kind of cross-industry learning not only fosters innovation but also helps stay competitive in a rapidly changing market. For instance, the aerospace industry has been taking cues from car manufacturers to improve factory automation. And the automotive companies are adopting aerospace processes for systems engineering. Meanwhile, both sectors are picking up tips from tech giants like Apple and Google to boost their electronics and software development. And at Siemens, we partner with racing teams. Why? Because their knack for rapid prototyping and fast-paced development is something we can all learn from to speed up our product development cycles. This cross-pollination of ideas is crucial as industries evolve and integrate more advanced technologies. By exploring best practices from other industries, companies can find innovative new ways to improve their processes and products. After all, how can someone think outside the box, if they are only looking in the box? If you are interested in learning more, I suggest checking out this article by my colleagues Todd Tuthill and Nand Kochhar where they take a closer look at how cross-industry learning are key to developing advanced air mobility solutions. https://lnkd.in/dK3U6pJf

Learning from Airlines: Can Telcos Better Monetize Their Data? In both the airline and telecom industries, we navigate through a landscape characterized by high capital expenditures, stringent regulations, and a fragmented market. Airlines, however, have excelled in one key area: segmentation. By strategically segmenting passengers- first class, business, premium economy, and economy-they manage to extract varying levels of revenue and profitability from the same limited space on an aircraft. This segmentation isn’t just about seat preference; it’s about monetizing each square meter of an aircraft differently, depending on the passenger type. So, how can this apply to Telcos? Just as airlines maximize revenue per square foot, telecom operators could think about deeper segmentation in how they monetize networks. Currently, we see some level of differentiation—enterprise clients, business-critical services, and regular business users all receive varying levels of service and pricing. However, there might be an opportunity to dive deeper into this segmentation. What if Telcos could apply a more nuanced approach to data value? By considering not just who is using the data but how and why they are using it, Telcos could introduce more sophisticated pricing models. For instance, data used for mission-critical operations in a hospital could be valued and priced differently than data used by a small business for basic operations. This kind of deep segmentation could enable Telcos to not only better serve their clients but also maximize the revenue per gigabyte of data. Airlines have shown that a one-size-fits-all approach leaves money on the table. It’s time for Telcos to ask themselves: Are we truly maximizing the value of our ‘square meters’ of our networks? The answer could lie in a more finely tuned segmentation strategy.

Yesterday’s sales can’t see tomorrow’s storm, But AI can 😎 Most manufacturers still build demand forecasts based on one thing: 𝐡𝐢𝐬𝐭𝐨𝐫𝐢𝐜𝐚𝐥 𝐬𝐚𝐥𝐞𝐬. Which is fine… until the market shifts. Or weather changes. Or a social post goes viral. (Which is basically always.) That’s why AI is changing the forecasting game. Not by making predictions perfect—just a lot less wrong. And a little less wrong can mean a lot more profitable. According to the Institute of Business Forecasting, the average tech company saves $𝟗𝟕𝟎𝐊 per year by reducing under-forecasting by just 1%, and another $𝟏.𝟓𝐌 by trimming over-forecasting. For consumer product companies, those same 1% improvements are worth $𝟑.𝟓𝐌 (under-forecasting) and $𝟏.𝟒𝟑𝐌 (over-forecasting). (Source: https://lnkd.in/e_NJNevk) And were are only talking 1 improvement%!!! Let that sink in... All that money just from getting a little better at predicting what customers will actually buy. And yes, AI can help you get there: • By ingesting external signals (weather, social, events, IoT, etc.) • By recognizing nonlinear patterns that Excel never will • And by constantly learning—unlike your spreadsheet But it’s not just about tech. It’s about process: • Use Forecast Value-Added (FVA) to track which steps help (or hurt) • Get sales, marketing, and ops aligned in S&OP—not working in silos • Focus on data quality—AI is only as smart as your ERP is clean • Plan continuously—forecasting is not a set-it-and-forget-it task Bottom line: If you’re still relying on history to predict the future, you’re underestimating the cost of being wrong. Your competitors aren’t. ******************************************* • 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!

📣 The era of aluminium surplus is over. 🛑 According to a powerful analysis by Andy Home at Reuters, the global aluminium market is "sleepwalking into the biggest deficits in 20 years." For decades, the market has been defined by excess, but a structural shift is underway. Here’s why: 🇨🇳 China is at Capacity: The world's largest producer (60% of global output) is hitting its government-mandated cap of 45 million tons per year. Their relentless production growth is grinding to a halt. 📉 Inventories are Draining: LME stocks have plummeted from over 3 million tons four years ago to just over 700,000 today. Sanctions are diverting Russian metal to China, further squeezing Western exchange liquidity. ⚡ The Energy Transition is a Double-Edged Sword: Demand is surging from solar and EV sectors, while high energy costs are stifling smelter restarts outside of China (e.g., closures threatened in Mozambique). 🇮🇩 New Supply Can't Keep Up: Hope rests on Indonesia, where Chinese companies are building new smelters. But analysts at Citi project new capacity will fall far short of expectations, reaching only 2.3M tons by 2030 due to high costs and energy challenges. The result? Citi analysts predict prices will need to rise sustainably above $3,000/metric ton (from ~$2,700 today) to prevent a shortage. This isn't just another trader squeeze; it's a fundamental reshaping of the market. The next crisis won't be caused by too much metal, but by too little. #Aluminium #Metals #Commodities #EnergyTransition #SupplyChain #Mining #Economy #Reuters 

🎬 How Film Investors Get Their Money Back One of the biggest misconceptions in filmmaking is that film investment is a gamble with no clear route to return. The truth is, smart film finance is built on structure, strategy, and multiple revenue streams. Here’s a quick look at how investors typically make their money back 👇 💰 1. Recoupment Waterfall After the film is sold or licensed, income flows through a “waterfall.” Investors are repaid first often with a premium (10–20%) before profits are shared with producers, sales agents, and talent. 🎟️ 2. Distribution Deals Films generate revenue from various platforms: theatrical releases, streaming (Netflix, Amazon, Apple), TV networks, airlines, and digital sales. Each territory or platform contributes to the investor’s recoupment pool. 🌍 3. Tax Incentives & Rebates Depending on the location, production rebates or tax credits can return 20–40% of qualified spend, effectively reducing the investor’s exposure right from day one. 📀 4. Ancillary & Merchandising Revenue Soundtracks, merchandise, product placement, and remake or format rights can all add to the revenue stack. 🎥 5. Long-Term Library Value A good film doesn’t stop earning once it’s released library sales, streaming royalties, and international syndication can continue generating income for years. 💼 Rough Example Breakdown — £5 Million Film Investment Total Budget: £5,000,000 1. Government Rebates (UK + EU): Approx. 30% return → £1,500,000 back within 6–12 months. 2. Pre-Sales & Distribution Advances: Agreements secured pre-release (domestic + international) → £2,000,000 returned during or soon after production. 3. Post-Release Revenue (Streaming, TV, etc.): Within 2 years of release, additional returns from: SVOD & TV licensing: £1,000,000 Ancillary rights & merchandise: £250,000 Library/royalty income (years 3–5): £500,000 Total Revenue: £5,250,000 ✅ Investor Recoups 100% + 5% premium (£5.25M) ✅ Ongoing profit participation on future library sales Film investment isn’t a lottery ticket it’s an asset-backed opportunity when structured correctly. The key is transparency, experienced producers, and a realistic route to market. When creative vision meets financial discipline, both art and investment thrive. #FilmFinance #Investing #FilmProduction #EntertainmentBusiness #Producers #CreativeInvestment

Key Trends in the Indian Steel Industry in 2024: 1️⃣ Decline in Global Steel Demand: Global steel demand contracted by 0.9%, falling to 1,751 million tonnes. Reduced household purchasing power, tighter monetary policies, and geopolitical uncertainties drove this. 2️⃣ India Becomes a Net Steel Importer: During Apr-Nov FY25, India’s steel imports surged by 26.6% year-on-year, reaching an 8-year high of 6.5 million tonnes. A significant portion of these imports originated from China, raising concerns over domestic competitiveness. 3️⃣ Reduced Scrap Imports: Despite increased domestic consumption of metal scrap, India’s metal scrap imports declined by an estimated 25% year-on-year, dropping to 8.3 million tonnes. 4️⃣ Advocacy for Import Safeguards: The Indian Steel Association called for temporary taxes on steel imports from China, Japan, and South Korea to protect domestic manufacturers from underpriced foreign goods. Notably, Vietnam transitioned from being an importer of Indian steel to exporting steel to India. 5️⃣ GST Reforms in Scrap: The 54th GST Council meeting introduced significant reforms for formalizing the scrap metal and battery recycling sectors. These included a Reverse Charge Mechanism (RCM) and a 2% Tax Deducted at Source (TDS) on scrap metal transactions. 6️⃣ Green Steel Taxonomy Introduced: India became the 1st country to define "Green Steel" by setting emission standards at 2.2 tonnes of CO2 equivalent per tonne of finished steel. A star rating system was also launched to encourage sustainable practices in #steel production. 7️⃣ Mining Royalty Case: The Supreme Court upheld the authority of state governments to levy taxes on mines and minerals. It clarified that royalties collected under the MMDRA do not qualify as taxes. This decision could significantly impact the finances of public sector units. 8️⃣ Promoting Gender Diversity: Tata Steel introduced India’s first all-women mining shift at its Noamundi iron mine in Jharkhand, marking a progressive step towards gender inclusion in the mining sector. 9️⃣ Falling Input Prices: Iron ore prices declined by approximately 23–24% by the end of 2024, with predictions of continued downward trends. Imported coal prices also fell due to increased domestic production and favorable global market dynamics. 🔟 Capacity Expansion: Tata Steel commissioned India’s largest blast furnace at its Kalinganagar plant in Odisha, increasing the plant’s capacity from 3 MTPA to 8 MTPA as part of its Phase II expansion. JSW Steel expanded its Vijayanagar plant by commissioning a new Hot Strip Mill under a 5 MTPA project. Despite facing headwinds from rising imports, volatile global demand, and new policy shifts, the Indian steel industry in 2024 demonstrated resilience. Key developments like the #GreenSteel taxonomy and formalization of the #scrap sector signal a significant push towards sustainability and industry modernization.

Trucks: what we need to get to zero-emissions 🚛 When it comes to heavy-duty vehicles (HDVs), the decision to buy isn’t driven by style, colour, or brand. It's all about numbers and spreadsheets. Trucks are bought with a calculator. They’re long-term investments. Every spec matters, because every breakdown costs time and money. Those who buy them need to make sure that it pays off over the lifetime of the truck. This is what we call the “total cost of ownership”: investors look at the long-term costs and expenses expected over the whole truck’s lifetime (maintenance, road tolls, refuelling/recharging costs). This is why it’s so important to improve the benefits associated with using a zero-emission truck vs a conventional truck over its lifetime. Today it’s more expensive to buy an electric or hydrogen truck. But this can change if, afterwards, this purchase translates into lower road tolls, lower refuelling/recharging costs, cheaper maintenance and so on. On Thursday, I chaired a meeting with truck manufacturers. We discussed this very issue among other things. We agreed on the need to improve all conditions that speed up the shift towards zero-emissions trucks. Lowering the “total cost of ownership” is a critical step. As well as accelerating the deployment of charging infrastructure and addressing grids access and congestion issues. A new special task force will look into how to make this happen. This discussion also fed into the Strategic Dialogue on the future of the European Automotive Industry, which took place today. Here as well, we need all the right enabling conditions in place: 🔌 Accelerating the roll-out of recharging infrastructure 🔋 Delivering on the Battery booster package, to boost competitiveness of EU made cells and components 🇪🇺 Levelling the playing field by protecting EU industry from unfair competition, notably by introducing EU local content requirements. 💶 Multiplying demand-side incentives, through EV tax incentives and/or purchase subsidies. We need European innovation and leadership in EVs. We also need a competitive battery sector in Europe. Ultimately, we need to stand up for our manufacturers against unfair competition to ensure that the future of cars – and the cars of the future – are made in Europe.

Are you ready for the most significant transformation in pharmaceutical digital compliance in over a decade? The EU GMP Annex 11 revision is here, and it’s set to redefine how our industry approaches data integrity, AI/ML, cloud adoption, and risk-based validation. I’ve summarized the key changes, what they mean for your organization, and how you can prepare to stay ahead in this new era of quality and compliance. Whether you’re in quality, IT, or validation, this update will impact your work and your company’s competitive edge. Curious about how to future-proof your compliance strategy? Dive into my latest article and join the conversation on how Annex 11’s digital revolution will shape the future of pharma. Your insights and questions are welcome—let’s lead this transformation together!