Tag: shein

On November 5, the crowd started gathering long before the clock struck 1 p.m. A line of shoppers wound its way through the Bazar de l’Hôtel de Ville in central Paris. This event wasn’t a premiere for a highly anticipated movie, and wasn’t a surprise sneaker drop either. It was the opening of Shein’s first permanent boutique in the French capital.

At last, the ribbon snapped, and the countdown clock hit zero. Then the crowd surged. Gen Z shoppers squealed as the doors swung open. They raced upstairs for €5 crop tops and party dresses and for accessories starting at a single dollar.

“It’s like Disneyland for fashion,” one student gushed. Influencers livestreamed the opening to millions, and the sixth floor had become a one-thousand-square-meter Shein wonderland.

Within five days, more than fifty thousand customers had passed through the building. The average basket cost forty-five euros. Tower‑sized banners screamed SHEIN across the façade, which remained visible from blocks away.

All of this was happening in the capital of haute couture.

A short walk away, Zara sat quietly, holding the line. Inside, the foot traffic never stopped. But people moved differently. They were pausing. They checked fabric. They compared cuts. They touched lapels. A woman in a black coat strolled out carrying a single blazer folded carefully over her arm. Another came in with her phone open to a screenshot of a coat that had sold out the previous week.

This wasn’t binge shopping. It was hunting.

Next door, H&M told another story. The racks were a bit too full, and the discounts too loud. It was neither as dirt-cheap as Shein nor as sharply edited and of-the-moment as Zara. A brand stuck in the middle with yesterday’s formula.

This isn’t a fashion story. Instead, it’s a story about speed.

AI allowed Shein not just to outpace everyone but to rewrite the physics of trend creation itself. Most incumbents were dragged into the abyss: cutting prices, chasing trends, churning more.

But somehow, Zara became an outlier. It’s still growing, and still drawing shoppers in the shadow of a Chinese app that can launch thousands of new styles in a day.

Speed mattered. But it wasn’t everything.

At one extreme, everything was algorithmic, ultra-fast, disposable. At the other extreme, there were fewer pieces, more desire, and stores acting like stage sets.

The middle is where brands go to drown.

Ask yourself this: Are you aiming for speed and volume, or are you searching for meaning and quality?

You cannot have both. Pick your extreme, or you will be ignored. Stop trying to be everything to everyone.

To see why, you have to revisit the rain‑soaked edge of Spain, long before anyone had heard the word “Shein.”

The Kid in Galicia Who Sped Up the Clock

It wasn’t supposed to happen in Galicia.

In 1949, Galicia was a grey Atlantic backwater. People left and didn’t come back. Yet it was there, in a port town far from Paris or Milan, that a thirteen‑year‑old school dropout named Amancio Ortega walked into a shirt‑maker’s workshop and asked for a job.

He got hired. Then he was put on deliveries.

For years, Ortega moved through that workshop with his hands. He touched fabric, observed patterns, and saw what moved and what stayed on the rack. He learned clothing like a musician learns an instrument.

In 1975, Ortega opened his own store. He was going to call it Zorba, after the film. However, a bar down the street had already claimed the name. Rather than start the sign-making process from scratch, he rearranged the very letters he’d already created. Z-O-R-B-A became Z-A-R-A.

He hung the letters. It was perfect.

The store sold cheap knockoffs of high-end fashion. It was popular. But Ortega saw a problem that terrified him.

In the traditional model, retailers were gamblers. They placed orders in January for the following winter. They bet on colors, fits, and quantities. They would order 100,000 red sweaters from China. Six months later, if red was “in,” they made a fortune. But if red was “out,” they were stuck with 100,000 sweaters that nobody wanted.

Ortega looked at this and saw insanity.

In 1976, he did something unprecedented for a Galician textile merchant: He purchased a computer. Soon he was studying Toyota—not for its cars but for its manufacturing philosophy: Make only what the market demands, exactly when it demands it.

His instruction to store managers was simple: Don’t just sell what we have; tell me what people want. The best managers became psychologists as much as merchants, reading the customer and sending back unvarnished truths.

Signals flowed back to Galicia in real-time.

At headquarters, in a cavernous room that looked like a trading floor, pattern cutters and seamstresses worked shoulder‑to‑shoulder. Pieces were fitted on live models. In under two days, they translated a trend spotted in a Berlin nightclub into a sample.

Twice a week, trucks left La Coruña carrying fresh inventory. Tuesday and Friday were the “Zara days.” Customers learned, too. If they missed Tuesday’s shipment, the leather jacket that they wanted might be gone by Friday. Gone forever.

While Gap and H&M outsourced to Asia, Ortega kept production unnervingly close to his home. In Galicia and Northern Portugal were factories, many of which he owned, that became extensions of the design room. Cheap didn’t matter. Quick did. It was simple physics: Less distance meant more speed.

By 2001, when Zara went public, H&M and Gap were still guessing next season’s colors. Rivals waited for container ships from Shanghai. Zara was already selling next Thursday’s jacket.

The industry giants sneered at first. Then they watched in disbelief.

Ask yourself: How tight is the loop between your action and your result? If it takes you months to realize something isn’t working, you’ve already lost. Tighten the loop.

Ortega didn’t care to guess what customers would want in nine months. Instead, he wanted to know what they would want next Thursday.

The Blink of an Eye: When Zara Became Slow

By the late 2010s, Zara looked … mortal.

Once effortless, growth began to slow in 2018 and 2019. Profit margins flattened. Zara’s digital strategy felt half-built. By 2019, only 14% of sales came online. H&M was at 14.5%. The U.S. apparel average was near 27%.

Zara’s entire engine was still anchored in physical retail. The world, however, had shifted to the phone.

Boohoo could conceive, design, produce, and ship clothing in 14 days. ASOS updated its site with 4,500 new items daily.

Around this time, I started building the Future Readiness Indicator for fashion. I wanted a scorecard that stripped away the hype. We measured revenue growth, bottom‑line strength, Google search heat, influencer reach, share velocity, and investor sentiment.

The pattern jumped out. Inditex, the holding company behind Zara and once an unshakeable pioneer, was slipping by the late 2010s. The trajectory was unmistakable. Zara was entering a dark period.

Then the floor collapsed.

COVID-19 hit. Thousands of stores went dark. By April 2020, 88 percent of all Inditex stores had closed. Sales fell 44 percent year on year. For the first time in history, the company posted a quarterly loss.

Zara’s superpower had always been watching customers. Now the lights were off. There was no foot traffic and no in‑store data. A company built on reaction suddenly had nothing to react to.

But on the other side of the world, something else was sprinting.

The Machine That Almost Ate Fashion

Somewhere in a server farm outside Guangzhou, code crawls. It scrapes social media platforms, hunting for signals invisible to the human eye. Maybe it’s a sleeve shape in Berlin, a hemline in Seoul, or a color combination screenshot that appears 847 times in six hours.

Shein’s founder, Chris Xu, wasn’t a fashion guy. He was an SEO specialist. He understood that Google was a black box that you could game. He noticed that people weren’t searching for “spring collection.” Instead, they were searching for “crop top like Bella Hadid wore.”

By 2012, Xu had pivoted into a new company: Shein. The name had no meaning. It was short, brandable, and SEO‑friendly. That was enough.

Inside Shein, the process is purely Darwinian:

• Scan the world. Algorithms scrape social media, search data, and image feeds to spot micro-trends. Can be a neckline, a print, or a palette. These are tiny signals before they’ve been even named.
• Break it apart. These trends are decomposed into micro-tasks: Design this collar variant, source this fabric, and shoot this look.
• Test in micro-batches. The company manufactures only 100–150 units of a design before listing it. Then it waits for the data verdict.
• Scale or kill. If it sells in hours, Shein scales aggressively. If it stalls, it dies. There are no big bets and no warehouses full of red sweaters.

Then comes the army of influencers, fashion stars with millions of fans alongside thousands of micro creators firing off #SHEINhaul videos. Pile that on, and the machine starts to spin on its own.

There aren’t any fashion editors or seasonal bets. Just real-time, algorithm-driven experimentation, nonstop. Shein could go from design to delivery in 7–14 days, sometimes 5 days for reorders. It added an average of 2,000 new SKUs daily. At any given moment, roughly 600,000 items sat on its platform, with an average price of around $10.

Zara, by comparison, launched about 12,000 new designs per year.

Looking at those numbers, I kept running into the same question: If everyone could see what Shein was doing, why couldn’t the old giants just copy it?

That’s when I called Sangeet Choudary.

I’d been following Sangeet since he wrote his first book on platform businesses, which explained how Uber and Airbnb rewrote the rules. But his latest book, Reshuffle, offered a different lens, one that I suspected would unlock what was really happening in fashion.

We spoke for an hour. Twenty minutes in, he said, “Winners don’t just play the right game. They define the game for everybody else—often in ways that work against the strengths of previous winners.”

Sangeet walked me through what he called the “atomic unit of work.”

For Zara, the atomic unit is the collection. That’s the curated batch of designs that must hang together aesthetically, be manufacturable, and fit the brand. It must have designers who can perform many tasks at once: sense trends, understand fabrics, respect production constraints, and maintain coherence.

For Shein, work happens one micro task at a time. A designer somewhere clicks open a prompt: “Design a collar based on these three reference images. You have 40 minutes.” There is no mood board, no overarching story. Just a timer that never stops and a prompt box that never empties.

“Once you can break knowledge work into micro‑tasks and have AI coordinate them, you commoditize expertise,” Sangeet explained. “The designer still exists. But their power—their ability to shape the outcome—is largely gone.”

That was the reshuffle.

Shein didn’t just get faster. It changed the atomic unit of work. Now look at the project that is overwhelming you. The problem isn’t the size of the goal; it’s the size of your tasks.

Are you trying to build the whole collection at once? If so, stop. Break it down into a “micro-task.” Greatness is nothing more than small tasks performed repeatedly.

I thought about the pattern cutters and seamstresses working shoulder-to-shoulder in Zara’s La Coruña headquarters. Shein replaced all of them with algorithmic coordination.

Even if it wanted to, Zara couldn’t copy Shein. In order to compete, Zara would have to dismantle everything that made the company dominant in the first place: the vertically integrated Spanish supply chain, store managers as trend scouts, and cohesive collections.

For a week, I sat with the conclusion that Shein had rewritten the rules. The data supported it.

Between 2020 and 2023, Shein’s valuation exploded from $15 billion to $66 billion. Revenue hit $23 billion. Shein became the most downloaded shopping app in the United States.

Everything pointed one way: The war was over. Shein had won.

But when I went back to Zara’s numbers again, something wasn’t right. They weren’t falling. They were rising.

Zara wasn’t done. And what came next was one of the most remarkable anti‑disruptions I’ve ever seen.

How Zara Outran the Ultra‑Fast

It was still April 2020, the darkest stretch. Stores were closed. The company had just posted its first loss in history. And in the middle of it all, then-CEO Pablo Isla announced that Inditex, Zara’s parent company, would invest €2.7 billion into digital transformation.

It wasn’t cost-cutting. It was a bet.

The crown jewel was something both boring and revolutionary: SINT, the Integrated Stock Management System. It allowed any store to fulfill any online order from its inventory. RFID chips in every garment granted real-time visibility. A cloud platform knitted everything together.

On top of this, AI systems monitored social media, search trends, runway imagery, and customer reviews. Natural language processing sifted through millions of social media posts for style patterns. Machine-learning models used historical sales, weather forecasts, and local events to allocate inventory not just by country but by neighborhood.

The result? Tokyo and Dubai didn’t see the same product mix. Even Geneva and Zurich diverged. Store inventory is allocated hyper-locally.

The store strategy also shifted. Fewer, larger, more premium locations. Total store count fell from 7,412 in early 2020 to 5,563 by 2024.

But productivity per square meter improved 28%.

In 2021, Marta Ortega Pérez, Amancio’s daughter, stepped in as chairwoman and orchestrated a deliberate move upmarket: collaborations with high-fashion designers, campaigns shot by Annie Leibovitz, and a flagship on the Champs-Élysées. The goal was to be the most culturally relevant.

Then Chris Xu, Shein’s famously reclusive founder, suddenly became even more reclusive and stopped giving revenue projections altogether.

What happened?

The $800 Loophole That Closed the World

The answer arrived via executive order on April 2, 2025. The de minimis exemption, which allowed goods under $800 to enter the United States duty-free and had powered Shein’s model, was gone for China.

The new tariff was 30% minimum. Then it tripled. Then it tripled again.

The physics of Shein’s model changed overnight. Remember that $5 crop top? Now it was $11. What about the $10 dress, you might ask? The price increased to $22. For certain items, the prices jumped 377%.

Customers noticed. Shein’s daily active users in the U.S. dropped 25% in months.

Shein now faced an existential reconfiguration. Pull production out of China and the vast network of manufacturers disappear. Build warehouses in the United States and the test-and-scale magic evaporates. Every path forward came with a price.

Around this time, Inditex revived its budget brand Lefties, once an outlet for Zara’s leftovers, as a direct competitor to Shein in key markets. The results were low prices and fast cycles. But there was a twist. It ran on Inditex’s logistics backbone and, crucially, had physical stores.

In Spain, Lefties attracted millions of customers, nearly matching Shein’s local reach. It expanded to more than two hundred stores across roughly eighteen countries, offering same-day pickups and delivery times of two to five days. For Inditex, Lefties kept Shein pinned on the low end while Zara moved upmarket.

By 2023, the industry was waking up to the e-commerce hangover: returns.

The “Free Returns” policy had trained consumers to buy three sizes and return two. Inditex rolled out a fee (€1.95) for any return made via mail. But returns were still free if you brought them to the store. It was brilliant.

Inditex leveraged the store network as a competitive advantage against pure-play rivals.

Ask yourself this: What is the one thing you have that your competition views as a “burden”? Stop hiding it. Use it.

Your biggest “liability” might be the one lever you have that no one else can pull.

Shein suddenly had to fight a war on both flanks, against a group with physical stores, a tuned supply chain, and two price points.

By 2024, Inditex’s revenue hit €38.6 billion—36% above pre-pandemic levels—with record profits. The company’s market cap soared past €170 billion. And Inditex accomplished this with nearly 2,000 fewer stores than it once had.

Epilogue: The Death of the Middle

The war for fashion’s future isn’t over. Shein is still growing. New challengers loom. But the narrative has changed. Zara is no longer on the defensive. It’s writing the playbook for hybrid retail in the algorithmic age.

The middle ground is what’s been scorched. H&M and Gap are left stranded. They’re too pricey to beat Shein on cost, and they don’t have the brand heat to beat Zara on desire.

The most dangerous place in business is the middle: not cheap enough to win on price, not special enough to win on meaning. In a world of algorithms, “average” isn’t a safe harbor. It’s a target.

Here’s something you must decide today: Are you the cheapest option, or are you the most meaningful option? If you are neither, you are vulnerable.

In the end, the battle for fashion’s soul turned out to be a battle for the future of business itself.

Digital only reaches its full power when it serves a physical, human space. It’s where you can feel the fabric, see the cut, and walk out with one perfect blazer draped over your arm. In the end, the companies that refused to bet on just one future are the ones that endured.

That is the story of Zara.

This story originally appeared on LinkedIn.

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