While most startups burn millions to hit ₹1 Cr a year, Sarojini Nagar seller clocks ₹10–15 Cr a month. Without any marketing, just pure business fundamentals at scale. I’m obsessed with supply chains. And the deeper I looked into this, the more it felt like a case study most of us overlook, simply because it doesn’t look like one. Here’s how 👇 1. Intelligent Procurement: Buy low, sell reasonably When brands like Zara or H&M overshoot production, the extras, a missing tag here, a loose thread there, are dumped in bulk for ₹50–₹150. Sarojini traders snap it up, not for the design, but for the deal. → They sell what the world throws out, at a profit. 2. Margin preservation is baked into customer behavior. Everything is MRP’d at ₹400. You bargain it down to ₹250. The trader still walks away with a 150% margin. You walk away thinking you won. So do they 🤷 Startups spend crores on “consumer education.” Sarojini does it with muscle memory. 3. This model has 0 overhead, 0 CAC, and 100% organic footfall. There are no air-conditioned showrooms or brand campaigns & rent ranges from ₹20K–₹50K/month which is just a fraction of mall rentals. Reels are their push notifications. Word of mouth is their loyalty loop. And funny enough, it works better than half the paid media plans I’ve reviewed. 4. They rotate working capital faster than most startups can refresh a dashboard. Each shop moves 300–500 units daily. Do the math, that’s ₹60K to ₹1.5L/day/shop. Multiply with 500+ shops that’s ₹10 Cr+ a month. Compare this to a mall store → ₹5L rent. ₹3L staff. ₹2L ads. Break-even is a boardroom obsession. Sarojini? Their breakeven happens before lunch. This isn’t “informal retail” It’s hyperlocal supply chain arbitrage. A closed-loop ecosystem built around global surplus and Indian desire. If anything, it’s closer to how Alibaba Group started, trading excess inventory and moving it fast. And that’s the part I wish more people understood. India doesn’t lack scale, It lacks respect for the systems that already scale profitably. PS: If you’ve ever found a killer deal at Sarojini, you didn’t just get lucky – you walked through a model that outperforms most startups.
Sales Business Models
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Down to €400,000 and now valued at €8 billion. How Adam Jay gave Vinted the global resale throne. In 2008, a 22-year-old in Lithuania built a website to sell 100 items from her own wardrobe. She was so new to online retail that she forgot to add a "buy" button. By 2016, that company - Vinted - was on its knees. Down to its last €400,000, it bet the lot on a single TV campaign in France. A final Hail Mary. The investors thought it was over. It worked. Today Vinted is valued at €8 billion, moved €10.8 billion of goods last year (up 47%, and profitable), and the UK is now its fastest-growing market. For the latest episode of the Business Leader podcast, I sat down with Adam Jay, CEO of Vinted Marketplace - who came to it not from fashion, but from a decade at Expedia and a career in marketplaces. I've known Adam since 2017, and this was his first-ever podcast, so it was a real treat to get him talking. A few things that stuck with me: → Their biggest competitor isn't eBay or Depop - it's new. Only 10–15% of the fashion we buy today is second-hand. Adam wants to push that past 50% and make preloved the default first choice. → The model is beautifully simple. It's free to sell, so sellers keep 100% - Vinted earns its margin on a small buyer fee. Thin margins, enormous scale. Last year buyers saved £18.6 billion versus buying the same items new, and almost a third put those savings towards food and household bills. → "Try, try and try again." Vinted failed in the UK repeatedly before Covid, and only cracked Germany on the seventh attempt. Adam's golden rule: it's fine to make mistakes - just learn fast and don't flog a dead horse. → It's quietly building the next generation of entrepreneurs. From his own teenage daughter to thousands of side-hustlers, Vinted is teaching people who are selling on the platform the fundamentals of business - price it right, make it appealing, negotiate, reinvest. → On AI: don't reach for the latest, fanciest model by default. Work out what the job really needs first. Refreshingly grounded, from someone running one of Europe's biggest platforms. Well worth a listen if you care about marketplaces, retail, scaling or business. Listen here: https://lnkd.in/etyhz53r
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🗣️ “I didn’t want to make Nike, Adidas and Puma richer.” - a masterclass in sports business and fashion. This quote is from Aurelio De Laurentiis, owner of SSC Napoli. His club Napoli went fully inhouse for their jersey and merch and created a startup in the club. A masterclass in sports &business by Europe’s most financially sustainable club ♻️- you would not expect in Napoli ;). I) How it usually works – Club x Supplier 👕 – Club signs with Nike, Adidas, Puma, etc. – Brand pays yearly fixed fee as sponsor – Club gets free gear + ~€5–7 per jersey – Royalties = ~10–15% of wholesale price – Brand handles production, logistics etc – Club only earns more via its own stores In short – Safe, low-margin, low-control – Great for global distribution – Merch is outsourced – so is upside 🤯 II) Napoli’s shift – DIY + EA7 “I called my friend Giorgio Armani. I needed to make my own jerseys, but with a credible brand. That’s how the idea was born.” 🧠 Starting 2021/22: – Ended Kappa deal (€8M/year) – No traditional sponsor replaced it – Partnered with EA7/Armani (€100k/year) – Napoli handles: design, production —>all – EA7 provides: brand, fashion expertise Strategic plays: – No middlemen – Global D2C via Amazon et al – Released 13 kits in first year❗️ – Built demand through drops & storytelling Control gained: – Faster time to market – Higher per-unit net margin (est. ~50%) – Cultural & visual brand alignment III) Did it work? Merch revenue by season “It’s like another company within our company, one that produces a lot of stuff. We’ve transformed everything.” ⬇️ Merch rev., growth, est. % of total rev. year by year: 20/21: €3.4M, –, 2% (last season w/ Kappa) 21/22: €5.8M, +71%, 3.5% 22/23: €14.7M, +332%, 5.5% 23/24: €21.5M, +532%, 8.0% 24/25: Est. €25M+ considering title momentum 🏆 📈 5x merch revenue growth in 4 years → Thanks to entrepreneurial vision and execution. 📌 Lessons for the industry – Vertical integration isn’t just for factories – Brand control > brand dependency – Storytelling, scarcity, speed = sales Could this model scale to other top clubs? Or is this DIY path one-of-a-kind? Want to see more behind-the-scenes from Napoli’s business model? 👇 Let’s talk in the comments. Lucas Sorrentino
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Who are the unsung Aussie and Kiwi founders? The fashion and beauty entrepreneurs who bootstrapped their businesses to 9 figures. We tell startup stories through the money they raise, as if the round were the achievement. Some of the most capital-efficient businesses in Australia and New Zealand are the ones you've never read about, and most of them aren't tech, they’re consumer brands. Aesop: In 1987, a Melbourne hairdresser named Dennis Paphitis started blending essential oils into the products he used on clients. He called the range Aesop, after the fables. Aesop took on some outside capital in 2010, but when L’Oréal bought Aesop in 2023 for US$2.5 billion, the largest acquisition in the French group’s 114-year history, it was buying a global luxury house that had been built, for almost all of its life, without outside money. MECCA Brands: Jo Horgan opened one beauty store in Melbourne in 1997. MECCA now does A$1.43 billion in revenue and A$126 million in profit, and there’s no record of it raising a dollar of external capital. MCoBeauty: Shelley Sullivan had already given Australia the tan-in-a-can with ModelCo before she launched MCoBeauty in 2016, selling affordable dupes of viral luxury make-up. She grew it to $30m revenue before selling 50% of the business to DBG Group which used its pharmacy distribution advantage to help the business scale to A$262 million revenue in four years, and Shelley sold out in 2025 at a valuation above A$1 billion. Cotton On Group: Nigel Austin sold his first denim jackets from a market stall in Geelong in 1988. Cotton On is now a A$2.3 billion revenue business with close to 1,300 stores across 20 countries, fully bootstrapped. White Fox Boutique: Georgia and Daniel Contos started White Fox in 2013. From 2021 to 2024 it went from around A$65 million to A$429 million in revenue, every dollar of it funded by the business itself. AS Colour: Lawrence Railton spent twelve years building AS Colour, the Auckland basics label, without a cent of outside capital, before taking on minority investment from private equity in 2017. It now turns over NZ$500 million and he remains the largest shareholder. These are not lifestyle businesses. They are 9-figure businesses built by founders who kept all, or almost all, the equity. Most compounded growth over decades. The ones that ramped fast usually found a marketing channel early and rode its growth (eg White Fox with influencers on Insta/TikTok). For software founders, these companies are worth learning from. Not just because of their capital efficiency, but because most of them built their defensibility on brand and process power - both of which are critical for startups today in a world of relentless competition and the potential for incredible leverage if you nail tech-enabled operations (eg agent orchestration). Substack with more in the comments 👇
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Sam Altman says we're entering the fast fashion era of SaaS. But in fashion, brands like Hermès make 40% margins while H&M scrapes by at 7%. So I took a closer look at financial data across the fashion industry to predict where the economics of AI are headed. The data tells an interesting story: 1. Most Enduring and Profitable Hermès: 40.5% operating margins. Extraordinarily resilient across cycles. They've run the same playbook for 187 years: create scarcity through allocation-based access, expanding at a sustainable pace. They generate $6.7B in operating profit on just $16.4B revenue. 2. Scaled but Squeezed Inditex (Zara): 19.6% margins on $41.8B revenue. Best-in-class supply chain. Incredibly successful business. What looks like a fashion company is a well-oiled machine with insanely efficient operations. 3. Mass Market Speed H&M: Still massive at $22.2 billion revenue with 7.4% margins. They outsource everything to Asia, order months in advance, and pray trends don't change. But they did - Shein is gradually crowding them out with an ultra-efficient outsourcing model. They test micro-batches of 100 units and scale winners in as little as 3 days. H&M commits to thousands of units months out. The irony: Hermès grew 15% last year while H&M managed 1%. The "slow" luxury brand is growing faster than the speed-obsessed retailer. When speed is your only advantage, someone faster always shows up. Brand goes a long way. What This Predicts for AI: The Hermès of AI will own a category so completely that alternatives become unthinkable. Like luxury brands, they'll make every feature feel essential rather than excessive. Think Stripe - they handle countless payment scenarios but each one feels crafted, not crowded. Or Figma turning design collaboration into a category they own entirely. The Zara of AI will ship features daily, run thousands of experiments, and maintain good margins through operational excellence. Every season is a chance to test and learn. The H&M of AI (the hundreds racing to add every feature) will discover what fashion already knows: you can still make money here, but execution will need to be near-flawless because everyone is trying to outrun you. Think about what business you want to run.
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Zudio at ₹8,300 Crore: How Tata Quietly Built India’s Most Ruthless Fashion Engine No hype. No influencers. No discounts screaming for attention. Yet Zudio just crossed ₹8,300 crore in annual revenue, becoming Tata Group’s most successful consumer retail format till date. This is not a fashion story. This is an execution story. ✅ The Scale That Changed the Game 1. ₹8,300+ crore revenue in FY25. 2. 765 stores across 235 cities. 3. 244 stores added in one year, almost one every 36 hours. 4. 58% of Trent’s total revenue now comes from Zudio. Zudio sold 220 T-shirts per minute in FY25. It was 90 T-shirts per minute in FY24. Growth nearly 2X in FY25, implying 175–180 per minute. Still massive. Just not exaggerated. And this matters because disciplined businesses win by facts, not virality. ✅ The Core Advantage: Unit Economics, Not Marketing Zudio doesn’t grow because it’s loud. It grows because the math works. Per Store Economics: • Investment: ₹3–4 crore • Break-even: 18 months • Avg annual revenue per store: ₹10–11 crore • Gross margins: 35–40% • ROIC: 25% ✅ The FOCO Playbook Zudio cracked speed using a Franchise-Owned, Company-Operated model. Here it is: • Franchisee funds real estate • Zudio controls inventory, pricing, and staff • Capital intensity drops 30–40% • Expansion becomes frictionless. That’s how 244 stores opened without balance sheet stress. ✅ Why Everything Stays Under ₹999 This isn’t pricing. It’s psychology. ₹299–₹999 hits the sweet spot between: • Unbranded street wear. • Global fast fashion (H&M, Zara). It attracts first-time branded buyers, middle-class families trading down, and shoppers who refresh wardrobes often. Fashion becomes consumable, not collectable. ✅ Real Battlefield: Tier 2 & Tier 3 India While others fight in metros, Zudio went where demand was invisible. It's 60–65% of stores in Tier 2/3 cities, lower rents, less competition, and higher brand aspiration. In metros, Zudio is cheap. In smaller cities, Zudio is aspirational. That perception gap is pure gold. ✅ Let me share #Rajspectives 1. Zudio spends <1% of revenue on marketing. No e-commerce. No performance ads. No discount festivals. Instead: • Mall footfall • Word of mouth • Fresh inventory every 15 days. The store is the advertisement. 2. Zudio thrived during a slowdown. When the economy tightens, consumers don’t stop shopping. They trade down. 3. Zudio captured customers leaving premium brands and value seekers unwilling to abandon brand identity. That’s why Zudio grew while others stalled. 4. Zudio didn’t win by being fashionable. It won by being relentlessly practical. Its simple pricing, fast inventory churn, geographic arbitrage, capital discipline, zero noise, and full focus hit hard. The real question isn’t: “How big can Zudio get?” It’s this: Can it scale without breaking trust? Because in value fashion, execution builds scale, but trust sustains it. #india #fashion #sales #business #strategy #growth
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From a 350 sq. ft. shop in 2009… to ₹500 crore revenue in just 4 years. SNITCH isn’t just a D2C brand. It’s proof that speed, focus, and data can outpace giants. Before Snitch launched in 2020, Siddharth DUNGARWAL had already spent 17 years in apparel. He sold surplus clothing in a tiny store. Then he moved to trading. Then manufacturing. The turning point? He realized converting fabric into shirts made 5x more profit (₹50 vs ₹10 per unit).That insight became the foundation of Snitch. When most brands take 8–36 months to launch a collection, Snitch can do it in 30 days. How? 👉 Data scraping from hashtags, keywords & WGSN reports 👉 Marrying it with historical sales (colors, fits, silhouettes) 👉 Fast R&D on yarn, dyeing & wash durability The supply chain wasn’t outsourced chaos. Snitch turned manufacturers into “co-owners,” guaranteed them year-round utilization, and standardized SOPs for consistency. The result? Only 3–4% dead stock vs the industry’s 20–30%. The Numbers: 📈 ₹500 crore revenue in 4 years (vs Westside’s 12 years to hit the same mark) 📈 12x growth in just 30 months 📉 Only 3–4% inventory older than 365 days 💰 EBITDA: 7–8%, Net margin: 4–5% Offline stores run on a rent-to-revenue ratio of 10–12% backed by zero offline marketing, thanks to data from 3M+ D2C customers And yes, All 5 Sharks on Shark Tank India said yes. Snitch shows us that building fast doesn’t mean building fragile. - Focus beats expansion. (Men’s wear only, until solid.) - Data is the new design department. - Small risks (50–100 pcs per SKU) compound into big wins. - Treat partners like co-owners, not vendors. Fashion is a crowded space. But SNITCH proves : Speed, data, and discipline can carve out ₹500 crore in 4 years. What do you think? Is “trend agility” the future of Indian fashion? Or will scale always belong to the legacy giants?
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🚨 New Elevation Capital thesis: Quick Commerce x Fashion! Young Indians are discovering quick fashion through spontaneous moments - weekend plans, last-minute parties, or simply the urge to refresh their look within hours. While horizontal quick commerce players have added fashion to their offerings, the category demands specialized capabilities around assortment, sizing, and the critical try-and-buy experience that generic platforms struggle to deliver. Players like Slikk, KNOT, ZILO, NEWME and incumbent Myntra's M-Now are pioneering this space. These vertical fashion platforms are reimagining the entire shopping experience by marrying the discovery of online with the confidence of offline trial. Some highlights: > 10-20% of early users already buying twice monthly, transitioning from emergency use cases to regular browse-and-buy behavior > Impulse commerce creates entirely new demand - "I'm at a friend's place, we just made plans, I need an outfit in an hour" is driving adoption > Try-and-buy solves fashion's biggest online pain point - riders wait while customers try outfits, eliminating fit anxiety and reducing RTOs to 15% (vs 30% traditional) > Dark stores of 3,000-5,000 sq ft stock tens of thousands of styles, but the edge lies in merchandising algorithms that predict hyperlocal fashion preferences > Sale-or-return models critical for scaling without inventory risk - but success depends on brand relationships and negotiating power > Operating model complexity creates defensibility - balancing assortment breadth with inventory efficiency requires sophisticated demand prediction even when SOR isn't available > Categories like ethnic wear and bottom wear see strongest traction where fit matters most > Key challenges: expanding assortment without bloating inventory, achieving omnichannel coordination with brands, managing mix of SOR and outright purchases > TAM expansion opportunity - converting offline shoppers who avoid malls due to poor experience, not just capturing existing online wallet share
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Why did an 𝐀𝐦𝐞𝐫𝐢𝐜𝐚𝐧 𝐨𝐮𝐭𝐬𝐢𝐝𝐞𝐫 build one of India's most profitable retail brands? Because he 𝐬𝐨𝐥𝐯𝐞𝐝 𝐚 𝐩𝐫𝐨𝐛𝐥𝐞𝐦 𝐈𝐧𝐝𝐢𝐚𝐧𝐬 𝐡𝐚𝐝 𝐛𝐞𝐞𝐧 𝐥𝐢𝐯𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐟𝐨𝐫 𝐜𝐞𝐧𝐭𝐮𝐫𝐢𝐞𝐬. In 1960, John Bissell arrived in India on a Ford Foundation grant and saw something clear: Indian weavers made museum-quality textiles but earned subsistence wages. Perfect products. Zero market access. With $20,000 - his entire inheritance - he started Fabindia from two rooms in New Delhi. While the world raced toward mass production, he bet on handmade. By 1965, revenue crossed ₹20 lakhs. Export business boomed until 1993 when John suffered a stroke. His son William took over a dying export business. He could defend it or rebuild it. He chose to transform. William shifted focus from exports to domestic retail, opening stores across India. Then made a genius move: the SRC model (2007). Instead of consolidating suppliers, he made artisans equity partners in Supplier Region Companies. 55,000 artisans became stakeholders, not just suppliers. 𝐓𝐨𝐝𝐚𝐲'𝐬 𝐍𝐮𝐦𝐛𝐞𝐫𝐬 ₹1,232 crore revenue (FY24, down from ₹1,298 crore FY23). Connects 55,000 artisans. 360+ stores across India. 14 international locations. IPO planned 2025, targeting ₹500 crore. Despite recent losses (₹83.60 crore in FY24), operating cash flow: ₹351.9 crore (FY24) - proving the business works, profitability is a working capital issue, not a model issue. 𝐓𝐡𝐫𝐞𝐞 𝐋𝐞𝐬𝐬𝐨𝐧𝐬 𝐟𝐨𝐫 𝐅𝐨𝐮𝐧𝐝𝐞𝐫𝐬 𝐒𝐨𝐥𝐯𝐞 𝐚 𝐑𝐞𝐚𝐥 𝐏𝐫𝐨𝐛𝐥𝐞𝐦, 𝐍𝐨𝐭 𝐚 𝐅𝐚𝐧𝐜𝐲 𝐎𝐧𝐞: John didn't build a retail brand - he solved artisan market access. Action: Your moat isn't your product. It's the problem you solve. Products change. Problems persist. 𝐏𝐢𝐯𝐨𝐭 𝐖𝐡𝐞𝐧 𝐘𝐨𝐮𝐫 𝐌𝐨𝐝𝐞𝐥 𝐃𝐢𝐞𝐬: Export business was collapsing. William didn't defend it - he rebuilt around domestic retail. Action: When your original business stops working, adapt fast. Legacy kills companies. 𝐀𝐥𝐢𝐠𝐧 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧 𝐈𝐧𝐜𝐞𝐧𝐭𝐢𝐯𝐞𝐬: Artisans became shareholders. Profitability improved. When suppliers own upside, they align with your vision. Action: Structure ownership so your suppliers win when you win. From $20,000 to ₹1,232 crore: proof that solving real problems, pivoting boldly, and structurally aligning incentives build empires that last 65+ years. #Fabindia #Handmade #Artisans #Hyperscale #Heritage #Sustainability #MadeInIndia
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H&M lists three times as many styles as Uniqlo. Uniqlo's operating margin is more than double H&M's. The assumption in fashion has always been that more variety means more revenue. H&M built a global empire on that logic: dozens of collections per year, new arrivals every week, styles designed to be worn a few times and replaced. The business requires volume because no individual item can command meaningful margin when the whole model is oriented toward speed and turnover. Uniqlo runs the opposite. It carries roughly one-third the number of styles H&M does, and the business is built around a deliberately narrow catalogue of basics that do not go out of style. A Uniqlo fleece from this season looks like the one from five seasons ago. That is not an oversight. It is the structural foundation of the margin. When you carry fewer styles, demand forecasting becomes far more accurate, because you are not guessing which of 20,000 trend-driven items will land with customers this week. Suppliers run longer, more predictable production commitments, which compresses unit costs. Unsold inventory at season end, the single biggest margin killer in apparel, stays low because the catalogue is built on products that sell year-round rather than expire in six weeks. Fast Retailing generated $3.3 billion in operating profit in fiscal 2024 on $20.7 billion in revenue: a 15.9% operating margin. H&M generated $1.6 billion in operating profit on $22.3 billion in revenue: a 7.4% margin. Similar top lines. Fast Retailing earns roughly twice the operating profit. Retailers that compete on variety are permanently chasing taste. Retailers that compete on quality basics are building a compounding reputation that does not depend on being right about what customers want this season. The industry treats SKU discipline as a constraint. Uniqlo built one of the most profitable apparel businesses in the world by making it the strategy.
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