China

The more you understand China the less you know… The enigma that is China is changing rapidly. David’s 19 years of China experience puts some of China’s developments into context.

The carmakers ran out of margin. So they went looking for a body.

Read the balance sheet, not the backflip

A car company does not raise nine hundred million dollars for a robot because the robot is ready. It raises it because the car has stopped paying, and everyone in Shenzhen can read the same balance sheet.

This week Xpeng’s robotics unit raised more than $900 million at a post-money valuation above $6.3 billion, in a round led by IDG Capital with Tencent, Alibaba and Gaorong Ventures alongside. The company calls it the largest single private financing ever recorded in China’s embodied AI industry. It is not alone. AiMOGA, the robotics arm of Chery, is reported by Reuters to be preparing an IPO. BYD has unveiled a humanoid called Xiao Di. Changan, GAC, Li Auto, SAIC and Seres are all, per industry reports, building humanoids of their own.

The Western press files this as China chasing Tesla. Read the quote that matters instead. Michael Dunne of Dunne Insights, a man who has spent his career inside this market, told TechCrunch why Xpeng’s founder moved: “He sees razor-thin profit in cars on the near horizon. Robots look much more promising.” That is not ambition talking. That is a man doing arithmetic.

Now the part worth arguing with. A car is not naturally a commodity. It became one for these companies because they let it become one. A brand is a feeling, a badge, a way of being read at the school gates, and every point of that feeling is a point of price you do not have to give away. In China’s EV war some manufacturers gave it  away anyway, quarter after quarter, until the only ground left to fight on was cost. Once a company reaches that ground it is no longer a carmaker. It is a contract manufacturer of batteries, motors and control systems on wheels, and a humanoid is the same components in a different shape. Which is exactly Dunne’s point: “They have all the hardware to get the job done.” Batteries, actuators, motors, the control stack, all of it flows straight out of a mature EV supply chain that the West does not have and cannot conjure in a quarter.

So the structural lesson is this. When your product is treated as a commodity you cannot defend the margin, so you move the factory to the next product that still has one. The supply chain turns out to be the asset and the vehicle was only its current shape. A country that owns the batteries and the motors can change that shape far faster than a country that owns only the software.

But look at what a brand actually buys in that story. It buys the choice to stay. The manufacturers whose badge still commands a premium are not scrambling into robotics, because their cars still pay them. Brand is the thing that stops a category collapsing into cost, and it is the cheapest insurance a manufacturer will ever hold. The Chinese groups now pivoting are not proof that brand stopped mattering. They are proof of what it costs when you stop investing in it.

The other gap cuts both ways. Dunne names it plainly: the question is whether they can catch Tesla, and by extension the American labs, “on the AI side of the equation.” Hardware is China’s, for now. The brain is still contested. But notice which problem is easier to buy your way out of. You can hire researchers. You cannot hire a decade of battery plants.

For anyone running a store, the read is sharper still. The moment a humanoid works on a shop floor or in a stockroom, the retailer’s biggest line of cost stops being staff and starts being units. That is not a labour story you can hand to an HR memo. It is a question about what your store is for when the person who once greeted the customer is a leased machine amortised over three years. The answer is the same one it has always been. People go where they are known, and a machine on the floor only frees your people to do the part a machine cannot.

What to Watch The IPO, not the demo. AiMOGA filing to go public is the real signal, because a prospectus forces the question every backflip video dodges: where does the money come from, and when. A robot that can dance is a hobby. A robot with a revenue line is a business. The market is about to make several of these companies write the number down.

The Roth Read. Stop watching China’s robots and start reading China’s balance sheets, because the carmakers already have. The humanoid is rarely the threat. It is the tell: somebody with a better cost base is about to enter your category wearing a new shape, and they can only do it because that category let its brands become interchangeable. So ask which of your rivals owns the supply chain. Then ask the harder question. If your badge came off your product tomorrow, would anyone still pay more for it? That answer is the margin you are actually defending, and it is the only one nobody can build a factory to take from you.

One American startup built a robot without China. Read the receipt before you cheer.

A startup this week made a boast that would have sounded unremarkable a decade ago and sounds almost heroic now: it built a robot without China. Wired told the story with the tone of a triumph. Read to the end of the invoice and it is closer to a confession.

The piece, in Wired, profiles a firm that set out to source a robot’s components anywhere but China. It got most of the way there. Mostly. That word is doing an enormous amount of work, and it is the whole story. Because while one Western company was auditing its parts list for provenance, the numbers coming out of China last week were of a different order entirely. Fresh data circulating this week put China at roughly 97 percent of the world’s humanoid robot output. Unitree opened its subscription on the STAR Market on 10 August at 150.80 yuan a share, a valuation near 61 billion yuan, the first pure-play humanoid listing on China’s exchanges. Its supplier ecosystem is throwing off 20-billion-yuan valuations of its own. And in Hubei this week, seven national standards for testing humanoid robots were formally launched. Not products. Standards. The rules everyone else will one day be measured against.

Hold those two facts side by side. One company proving it can escape China’s supply chain, celebrated as an achievement. One country writing the grammar of the industry, treated as background noise. The headline is the plucky escape. The story is what you had to escape from.

The reason a China-free robot is news is that it is hard, and it is hard because China spent fifteen years making it hard. Not through malice, through mastery. The batteries, the rare-earth magnets, the actuators, the harmonic drives, the motors: the boring middle of the machine, the parts nobody photographs, are overwhelmingly Chinese, and they are Chinese because China chose to own the unglamorous layer while the West chased the demo. A backflip trends. A supply chain compounds. Go and look at Chengdu, the city the West files under pandas and hotpot and slow living, and behind that postcard sits a dense weave of factories, labs and robotics lines quietly building the thing itself. The relaxed image is real. It is also cover.

For anyone who sells things, the lesson is not to panic about tariffs or to romanticise reshoring. It is to understand what resilience actually costs. The Wired startup did an admirable thing, and it did it by accepting higher prices, thinner options and a smaller catalogue of what is even possible to build. That is the real exchange rate of independence, and every brand and retailer weighing a supply chain should price it honestly rather than sloganeer about it. You can decouple. You will pay for it in money, in speed, and in ambition. Sometimes that price is worth paying. Pretending it is free is how you lose twice.

There is a harder truth underneath, and it is the one the standards story tells. Whoever writes the test methods shapes the market. Hubei launching national testing standards while Washington debates banning a dancing robot is the entire asymmetry in one week. One side is arguing about what to keep out. The other is deciding what counts as good.

What to watch. Watch the standards, not the share price. Unitree’s listing will grab the headlines, but the seven testing standards out of Hubei are the quieter tell. When a country moves from making the robots to defining how all robots are judged, it has stopped competing in the market and started owning it.

The Roth Read. If your resilience plan is a press release about being China-free, you have mistaken a gesture for a strategy. Map your real dependencies, price the cost of leaving each one, and decide which are worth the premium and which are pride. Independence is a line item, not a slogan, and the brands that survive the next decade will be the ones honest enough to read the invoice.

The robot you never see is the one already picking your order

Ask people what a robot looks like and they picture a face, two legs, a hand that waves. The robot that actually touches your life has none of those. It is a squat orange trolley in a warehouse in eastern China, and it has probably already handled something you ordered this week.

The BBC went inside a facility run by Geek+, which it describes as the world’s largest supplier of autonomous mobile warehouse robots. The pictures are undramatic on purpose: fleets of low, flat machines gliding under shelves, lifting them, carrying the whole rack to a human who picks the item and sends it on. A company executive put the honest part plainly. The early challenge, he said, was getting customers to believe such robots could create real value. That belief problem is now solved. The market has moved from proving the idea to buying it at scale.

Here is why that matters more than any humanoid demo you saw this month. The debate about robots and work keeps staging itself as a confrontation: the machine that walks in and takes the job. That is the wrong picture. The real displacement does not arrive on two legs and announce itself. It arrives as a floor plan. It arrives as a warehouse redesigned around the machine, where the human is no longer the picker but the exception the machine defers to, the pair of hands that handles what the shelf-carrier cannot. The work does not vanish. It is quietly rewritten, and the terms of the rewrite are set by whoever supplies the robots.

Right now, increasingly, that is China. Not because of some sudden leap in cleverness, but for reasons that are structural and dull and therefore durable. China builds the motors, the batteries and the chassis at a cost and speed no one else matches, and it deploys at a scale that turns every warehouse into a live test bed. Geek+ did not win the global warehouse by inventing a wheel. It won by iterating faster, shipping cheaper, and running more robots in more buildings than anyone else, until the learning compounded. While the West argued about whether automation was ethical, the fulfilment centre behind your Saturday delivery was quietly being run from Suzhou.

For anyone who runs a retail operation, this is the uncomfortable truth beneath the humanoid theatre. The efficiency that lets a rival undercut you on delivery speed and price is not visible on the shop floor and not printed on the box. It is upstream, in a building you will never tour, powered by machines you did not choose and cannot easily match. Your customer feels only the outcome: it came faster, it cost less. They will never know a robot did it, and they will not care. That is precisely the point. The most consequential robot is the one that has been designed to disappear.

And the jobs question deserves better than the two lazy answers. It is not the robot apocalypse, and it is not the comforting line that new work always appears. It is a redistribution of who holds the skill and who holds the leverage. The warehouse worker becomes a supervisor of throughput, faster to train and easier to replace, while the value migrates to the software and the supplier. A society that wants good work out of this has to fight for it deliberately. It will not fall out of the machine on its own.

What to watch. Watch the gap between the robots we photograph and the robots we buy. The humanoids get the headlines and the funding rounds; the wheeled workhorses get the contracts. When a Western retailer announces a fulfilment upgrade this year, read the fine print for whose robots are inside. The name on the invoice is the real story.

The Roth Read. Stop watching the robot that waves. Watch the one that hides. If the efficiency that beats you on price and speed is built into a warehouse you have never seen, running on machines from a supplier you never chose, then your competitive edge is already being set by someone else’s floor plan, and you should decide today whether you are going to own that layer or rent it.

The robot can jump. The question is who owns the ground it lands on.

A humanoid robot leapt, wobbled, and stayed on its feet. That is the clip going round this week. The real story is not in the air. It is in who built the thing, and where.

The AGIBOT A3 Ultra, from the Shanghai firm AgiBot, has been shown clearing jumps, recovering its balance in a heartbeat, and holding its footing on uneven ground. The demonstration is genuinely impressive: controlled landings, smooth gait, fast recovery. It arrives the same week Google DeepMind detailed Gemini Robotics 2, a model that claims whole-body control from feet to fingertips and the ability to adapt to any two-armed robot in hours, and Xiaomi published Xiaomi-Robotics-1, trained on 100,000 hours of data across more than 1,700 scenarios, from homes to industrial sites. Three signals, one week. The brain and the body are both improving fast, and two of the three names are Chinese.

We have been trained to watch the acrobatics. A robot that can jump feels like a milestone because a jump is legible: we know what it costs a human body to do it well. But balance recovery is a solved-enough problem to be a demo reel. The harder, quieter breakthroughs are the ones you cannot film in a single dramatic take. A policy model that generalises to a task it was never shown. A data pipeline that turns 100,000 hours of raw motion into something a machine can learn from. Those do not trend. They compound.

Here is why a retailer or a brand owner should read past the highlight. The value in the next decade of robotics does not sit in the leg that jumps. It sits in the stack beneath it: the batteries, the motors, the rare earths, the manufacturing lines that turn a prototype into ten thousand units at a price a warehouse operator will actually pay. That stack is, today, disproportionately Chinese. Which is why the most telling story in robotics this week was not the jump at all. It was the quieter line from Washington: apparently roughly 90 per cent of US robotics research is now done using Chinese-made robots, and the US government is weighing a ban.

Sit with that number. The country that wants to lead this field is running its own experiments on hardware it does not make and may soon forbid. You cannot legislate a supply chain into existence overnight. China did not arrive here by luck or by copying. It arrived by controlling the boring parts: the components, the assembly, the willingness to put machines into hotels and restaurants and logistics floors and learn from the mess of the real world while others wrote white papers. AgiBot jumps because the ecosystem around AgiBot lets it iterate cheaply and fast.

So the correct reaction to the A3 Ultra is not awe, and not fear. It is a question about dependency. If your operation is planning to deploy service or fulfilment robots in the next three years, the machine in your building will very likely have been born in a Chinese supply chain, whatever badge is on the chassis. That is a commercial fact before it is a political one, and it will shape your costs, your options, and your resilience.

What to watch. Not the next jump. Watch whether the US ban moves from proposal to policy, and what it does to the price and availability of research-grade humanoids in the West. A ban that removes the cheapest hardware without replacing it does not protect an industry. It grounds it.

The Roth Read. Stop scoring these robots on what they can do and start asking who you will depend on to buy one. The clip you shared this week showed a machine that can jump; the balance sheet you sign in three years will show who controls the parts. If your robotics strategy has a hardware plan but no supply-chain plan, you do not have a strategy. You have a highlight reel.

Forget the backflips. China is teaching robots to clock in.

For years the story from China’s robotics labs came with a soundtrack: a whir of servos, a crowd gasping, a humanoid landing a backflip. Impressive. Also beside the point. The signal this week is quieter and far more consequential. In an underground lab in Beijing, and on a training floor in Hefei, China has stopped asking whether its robots can dance. It is asking whether they can work.

A Chinese robotics firm, Gaobot, put the case plainly to camera this week: for decades industrial robots have done one thing, thousands of times, on a fixed program. Bolt here. Weld there. Repeat. What China now wants is a machine that can handle the mess of a real factory, the odd angle, the dropped part, the job nobody bothered to write a routine for. On 6 August, at a pre-training ground for embodied intelligence in Hefei, 83 robots from different companies were put through more than thirty replicated real-world scenes: the home, the shop floor, the warehouse. Not a demo. A rehearsal for employment.

The numbers behind this are not modest. IDC expects China’s spending on embodied intelligence to climb from 1.4 billion US dollars to 77 billion over five years, a compound growth rate near 94 per cent. Embodied AI has, for the first time, been written into the national government work report. Unitree, which shipped 5,500 humanoids last year, more than anyone on earth, has filed to go public. The language coming out of the sector is telling: 2026 is being called the year of mass-production commercialisation, the year the work leaves the lab.

Here is why a retailer should read this over their coffee, not skim past it. The West has spent this year debating the humanoid as spectacle and as threat: will it take my job, can it fold my laundry, is it safe. China has quietly reframed the question as a supply-chain one. A machine that follows a fixed program is a tool. A machine that learns a new task from watching, that adapts to a scene it has not seen, is closer to labour. And labour, unlike tooling, scales into every corner of an economy: the stockroom, the loading bay, the shop floor at closing time.

Notice, too, where these robots are being sold. Unitree and AgiBot are not just filing IPOs; they are opening shops. A flagship store in Beijing. An Agibot deployment inside a JD MALL in Shanghai, fitted out as a retail complex, around five million yuan of investment in a single store. The West imagines robots arriving through the factory door. China is building the retail entrance first, letting the public meet the machine over the counter, where familiarity, and demand, are made. Dobot has gone further still, launching a humanoid pitched at the young family and the home.

The mechanism matters, and it is not magic. China’s edge is structural: the batteries, the motors, the rare earths, the assembly lines sit inside the same borders as the labs. When the New Yorker’s Kai-Fu Lee says the two countries are now “two different universes,” this is the concrete meaning of it. One universe is arguing about what the robot might mean. The other is collecting the training data, thirty scenes at a time, and pricing the shelf space.

What to watch. Watch the training grounds, not the trade shows. WAIC gives you the polished demo; the Hefei data-collection floor gives you the roadmap. When a single site is running 83 robots across warehouse, shop and home scenes, the next headline is not a better backflip. It is a purchase order.

The Roth Read. Stop watching Chinese robots for the trick and start watching them for the task. If your competitor’s stockroom is being rehearsed on a training floor in Hefei this year, you do not have a technology question, you have a cost-base question, and it is already being answered without you. The West is grading these machines on whether they can amaze us. China is grading them on whether they can be hired.

China did not spend last week building video tools. It was building eyes.

Every retailer who watched three Chinese labs ship video models in seven days filed the news under marketing. Cheaper ads, faster content, a problem for the agency. Wrong drawer. What landed last week was the perception layer for the machines that will one day walk your shop floor, and it landed open, and it landed cheap.

The launches came within days of each other. ByteDance’s Seedance 2.5 now generates thirty seconds of video with sound in a single pass, holding characters, scenes and camera logic together across a whole narrative rather than one lucky shot. MiniMax’s H3 does fifteen seconds with stereo audio generated jointly rather than bolted on, and on 3 August MiniMax put the weights on Hugging Face for anyone to download. Alibaba closed the week with Qwen3.8-Max, 2.4 trillion parameters, which now sits second in the world on the public leaderboard for reading images and visual material.

So run the telescope the other way. A model that keeps thirty seconds coherent, objects that persist behind an obstacle, weight that falls the way weight falls, a cup that is still on the table after the camera moves, has not learned to draw. It has learned how the world behaves. Generation is only the exam. The syllabus is physics, permanence and consequence. And the same weights that let a machine imagine a scene let it read one.

Reading a scene, fast, in bad light, with a person moving through it, is the entire job of a robot’s eyes.

That is the triangulation, and it is why this is a retail story rather than a media one. China already holds the other two legs. By industry counts it ships the overwhelming majority of the world’s humanoid robots, and TrendForce expects Chinese output to nearly double this year, with Unitree and AgiBot taking around eighty per cent of shipments. It holds the motors, the batteries, the rare earths, and the appetite to put machines in public before the ethics committee has finished its report. What it lacked was sight worth putting behind the visor. It is now building that in the open and giving it away.

Price finishes the argument. DeepSeek’s V4-Flash update, the least photogenic of the week’s launches and probably the most consequential, costs roughly three cents to run the full Artificial Analysis intelligence battery, against $3.15 for the Western frontier. A robot has a battery, not a data centre. Perception has to be almost free before it can live inside a body on a shop floor, and last week it became almost free.

A caution worth keeping. None of this means the machine understands anything. Video models still get physics wrong in ways that are amusing in a clip and unacceptable in a machine holding a bottle near a customer’s child. A convincing picture of a grasp is not a grasp, and that distance is where the next two years of the argument will be fought.

The direction, though, is not ambiguous. The robot that eventually watches your shelves, greets your customer and judges whether that customer is confused or annoyed will not be running perception you bought from a vendor you can name. It will be running weights someone downloaded, most likely trained in China, tuned by a supplier three tiers below the name above your door. And it will still be your brand doing the looking.

What to watch. Not the next video demo, and not the next leaderboard. Watch for the moment a Chinese maker ships a robot whose perception layer is one of these video models, and says so. When those two industries start sharing a checkpoint, the cost of machine sight collapses the way the cost of machine text already has, and every question retailers assumed they had until 2030 arrives early.

The Roth Read. Stop treating AI video as a marketing line item and start asking who supplies your machines’ eyes, because you are about to buy vision the way you buy electricity: from someone else, invisibly, with no say in how it was made. Put that question on your risk register this quarter. The machine watching your customer speaks for you, whoever trained it.

China’s Suning Buys Carrefour China

Today China’s Suning.com has announced that it will buy 80% of Carrefour China.

The deal is structured in a way that The Carrefour Group will sell 80% of its equity interest in Carrefour China to Suning.com. This is a cash transaction valuing Carrefour China at an enterprise value of €1.4 billion. The Carrefour Group will retain a 20% stake in the business and two seats out of seven on Carrefour China’s Supervisory Board. Suning has the right to buy the remaining 20% after a period.

Carrefour was a pioneer in China bring the hypermarket format to an excited Chinese Consumer in 1995.

I remember being at their first store opening and looking at the expressions of delight and amazement on the faces of Chinese consumers as they had not seen anything like this type of format or vast ranges and choice before.

Carrefour were the first western grocery and hypermarket retailer in China to realise the critical importance of trying to re-create the buzz, excitement and feeling of freshness of the Chinese wet market inside the hypermarket.

Today Carrefour has 210 hypermarkets and 24 convenience stores in China. This has generated in 2018 net sales of €3.6 billion (RMB 28.5 billion) and EBITDA of €66 million (RMB 516 million). It has had negative like for like sales – -5.9% in 2018 following -5.5 in 2017.

Other than generating needed cash for Carrefour and a China exit they were looking for, what does this transaction tell us about retail in China and globally?

Well much…

Suning.com is one of China’s leading physical and ecommerce retailers.

It has a network of over 8,881 physical stores in more than 700 cities across China from tier one’s to tier 4 and 5’s and runs the country’s 3rd largest B2C e-commerce platform.

One of the shareholder’s of Suning.com is Alibaba and this where it potentially gets really interesting…

Alibaba Group will soon have (when this deal closes after going through regulatory approval by Chinese the competition authorities (expected by December 2019) holdings in Auchan, RT-Mart and Carrefour in China as well as Suning. Alibaba invested some $4.6 Billion US Dollars for a 19.9% stake in Suning in August 2015. When Suning also agreed to invest 14 billion yuan to acquire 1.1 percent of Alibaba.

This gives Alibaba with its own growing network of physical stores called Hema / Hippo Fresh advantageous access to more physical space in China.

The first Hema store opened its physical doors in January 2016 and now has some 100+ stores across China. Consumers can buy their groceries and fresh products especially sea food both online and offline. Hema’s increasingly middle-class Chinese consumers are ordering their food for the evening on their commute home via their smart phones. Delivery is guaranteed for 30 minutes after an order has been placed if the customer lives within a 3km radius of a Hema store.

This proposition is one of the elements that Jack Mar  refers to as “New Retail”.

 

The combination of physical and virtual retailing is the key to “New Retail’s” success. Alibaba now has even move physical coverage available to rapidly accelerate its “New Retail” concepts and thinking. But whilst having physical and virtual stores is key , it’s useless unless you can digitise the entire supply chain, from growers, manufactures and every single element along the way , including the store…And that is where Alibaba “New Retail” really excels. It has a commanding lead in, thinking, technology and capability in digitising the entire supply chain and linking this to the consumer. The world outside of China should take note and learn. Whoever said physical retail is dead…

In Conversation with Danielle Bailey Gartner. L2

At STREAM Commerce in Miami I interviewed a number of the key speakers and participants as part of my “In Conversation with…” series. I am very grateful to everyone who graciously participated in the recordings and were were so generous in sharing their insights.

Todays “In conversation… is with Danielle Bailey Managing Vice President, Gartner L2

 

7Fresh Beijing. JD.COM New Offline concept

January 2018 JD.com, China’s second largest e-commerce company, launched its first offline fresh-food supermarket, called 7Fresh. I went to take a detailed look…  

Located in Beijing near JD headquarters in Yizhuang district this is their response to China’s booming market for online fresh food shopping and this growing segment of the domestic retail market.

4,000-square metres of floor space.  It’s a true manifestation of the merging of online and offline. It’s equipped with “smarts” and serves as both a physical store for consumers and fulfilment for on-line orders.

The retail component of the store itself is a mix between Wholefoods, Eataly and a traditional supermarket, it combines cooked and fresh-food offerings. In an eclectic selection of products, it includes fruits from New Zealand and beef from Australia, a live wet fish market and cooked-food stalls where you can pick up and either eat there or take away from traditional Chinese food, salads to Pizza.

Its “smart” components include carts which can help guide shoppers to the right aisles. The entire store is based on JD’s smart logistics system. It’s so smart that 7Fresh will know what you want better that you will. Getting smarter about you the more frequently you visit. The system also powers a delivery services so on line shoppers can get their groceries in about 30 minutes in a defined area around the store.

This store is impressive and a testament to how advanced China is in retailing today and especially the world lead it now has in the convergence of online and offline retailing. 7Fresh is a physical manifestation of seamless integration of online and offline shopping systems that will be the model for the future of retail globally.

The retail world should sit up and take note.

For key insights on JD.COM and the implications of 7Fresh to you as well as understanding JD.COM please get in contact with me.  To learn more about JD.COM please watch my documentary film “Hidden Dragon. The Rise of an E-commerce Giant”

See inside the store click on the image below.

The History Of Chinese New Year

History of the Chinese New Year the Chinese New Year, known in China as spring festival, is the country’s most important holiday. The Chinese New Year is based on a calendar established about 4,700 years ago. Various legends explain the origin of the Chinese New Year. One describes how people dreaded the New Year because a fearsome beast named Nian annually terrorised the population and devoured children. Then one year a child appeared dressed in red. The beast, frightened by the colour, fled and never returned. That’s why the Chinese New Year traditionally features red lanterns and noisy firecrackers to ward off evil spirits. The Chinese New Year is based on a calendar that calculates time using both lunar and solar events. Time passes in 12-year cycles, with each year represented by an animal of the Chinese zodiac. Traditionally, people prepare special foods and hope for a future of good luck. They attend many family dinners, starting with a New Year’s Eve feast. Travel home for the family reunion produces a mass migration. The New Year period culminates in the lantern festival, a joyful celebration around the first new moon in the lunar New Year. To learn more about the Chinese New Year and how the holiday unlocks year-round brand and retailer opportunities, download this informative and visual BrandZ™ study.