COPYCAT OR TRAILBLAZER: WHAT'S 'NEW' IN CHINA'S NEW RETAIL? - Michael Norris, January 2019
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Confronted with new opportunities, people tend to lose out in four ways: they don’t see it coming, they turn their nose up at it, they don’t understand it, or they’re too late to adapt. Jack Ma
YOUR FRAMEWORK TO UNDERSTANDING NEW RETAIL 1 What’s New Retail? 2 What’s ‘new’ in New Retail? 3 How does New Retail compare to retail transformations in the rest of the world? 4 What’s next for China’s New Retail? 5 Where does the opportunity lie?
NEW RETAIL IS RETAIL’S DIGITAL TRANSFORMATION New Retail can be understood in five statements. 1 New Retail’s pioneers are internet and tech giants 2 New Retail is a response to mixed e-commerce penetration and slowing e-commerce growth 3 New Retail’s main objective is improved revenues at lower cost 4 New Retail brings internet economy thinking and models of scale to traditional retail 5 New Retail’s use of data, digitization and technology will change supply and value chains
NEW RETAIL’S PIONEERS ARE INTERNET AND TECH GIANTS One of New Retail’s more obvious signs is e-commerce platforms opening offline retail presences, but this is just the tip of the iceberg. Sample of e-Commerce Platforms Which Have Opened Offline Retail Presences JD JD Alibaba Alibaba NetEase (Franchised (Automated (Hema) (Taobao Selected) (网易严选) Convenience Store) Convenience Store) Note: Sample not intended to be comprehensive.
NEW RETAIL’S PIONEERS ARE INTERNET AND TECH GIANTS New Retail was first proposed by Jack Ma in 2016 and has since been formally defined. Alibaba’s Definition of New Retail 以消费者体验为中心的数据驱动的泛零售形态,其核心价值是将最大程度地提升 全社会流通零售业运转效率. A consumer-centric, data-driven form of retail, the core value of which is to improve the retail industry's operating efficiency. Note: The above translation is the author’s own idiomatic translation. Source: Ali Research, 2017,《C时代新零售》
NEW RETAIL’S PIONEERS ARE INTERNET AND TECH GIANTS The term ‘New Retail’ has been widely adopted, and now gains more media mentions than e- commerce. Baidu Index for ‘新零售’ (New Retail) and ‘电商’ (e-Commerce), 2016-2018 3500 3000 New Retail 2500 2000 e-Commerce 1500 1000 500 0 June 2016 Dec 2016 June 2017 Dec 2017 June 2018 Dec 2018 Note: Baidu Index is China’s equivalent of Google Trends, and measures appearances of a particular keyword in m. Source: Baidu Index Search (December 2018).
NEW RETAIL IS A RESPONSE TO SLOWING E-COMM GROWTH China’s e-Commerce market is around one-quarter of total online and offline retail sales. Offline and Online Retail Sales as % of Total Retail Sales, 2011-19 76% Offline Online 24% 2011 2012 2013 2014 2015 2016 2017 2018* 2019* Note: Asterisk (*) refers to projected figures Source: National Bureau of Statistics; iResearch Analysis
NEW RETAIL IS A RESPONSE TO SLOWING E-COMM GROWTH Although e-commerce occupies a quarter of China’s e-commerce sales, e-commerce penetration differs between categories. e-Commerce Penetration Among Different Product Categories (2016-2021) Electronic Appliances Clothing & Shoes Beauty FMCG Luxury 2016 2017 2018* 2019* 2020* 2021* Note: Asterisk (*) refers to projected figures Source: Goldman Sachs, Euromonitor and PwC Analysis
NEW RETAIL IS A RESPONSE TO SLOWING E-COMM GROWTH China’s e-Commerce growth has shifted down a gear. Annual Percentage Growth of China’s e-Commerce Market, 2011-19 70.2% 59.4% 51.3% 46.8% 36.9% 29.6% 23.1% 24.2% 20.8% 2011 2012 2013 2014 2015 2016 2017 2018* 2019* CAGR = 47% CAGR = 25% Note: Asterisk (*) refers to projected figures Source: National Bureau of Statistics; iResearch Analysis
NEW RETAIL IS A RESPONSE TO SLOWING E-COMM GROWTH e-Commerce giants have found acquiring new online customers is more expensive than ever. Tmall Platform Cost Of Customer Acquisition vs Average JD Platform Cost Of Customer Acquisition vs Average Revenue Per User (2015-17), RMB Per User Revenue Per User (2015-17), RMB Per User 237 361 225 310 188 170 225 135 148 98 122 134 2015 2016 2017 2015 2016 2017 Cost of Customer Acquisition Average Revenue Per User Cost of Customer Acquisition Average Revenue Per User Note: Cost of Customer Acquisition and Average Revenue Per Use Data is taken from Q1 each year. Source: Company Financial Data; 易观; 招商证券
NEW RETAIL’S KEY GOAL IS TO DRIVE GREATER EFFICIENCY Internet and tech giants have established their own definitions, and there’s strong commonality between each. A Sample of New Retail Definitions Entity How They Express New Retail 以消费者体验为中心的数据驱动的泛零售形态,其核心价值是将最大程度地提升全社会流 Alibaba 通零售业运转效率 第四次零售革命下,基础设施变得可塑化、智能化、协同化,实现成本、效率和体验的升 JD 级 智慧零售是去中心化,用信息技术帮助传统零售企业结合人货场提升效率,帮助传统零售 Tencent 企业实现线上线下整合,用户、数据和渠道还在他们手中 运用互联网、物联网技术,感知消费习惯,预测消费趋势,引导生产制造,为消费者提供 Suning 多样化、个性化的产品和服务 新零售更高效率的零售,从线上回到线下,但不是原路返回,而是要用互联网的工具和方 Xiaomi 法,提升传统零售的效率,实现融合 Ministry of 新零售是以消费者体验为中心,以行业降本增效为目的,以技术创新为驱动的要素全面更 Commerce 新的零售 Source: Analysis of relevant publicly-available company announcements, research papers and C-Suite speeches
NEW RETAIL’S KEY GOAL IS TO DRIVE GREATER EFFICIENCY From Alibaba to Tencent, the various New Retail definitions and permutations principally stress improving retail’s operating efficiency. A Sample of New Retail Definitions With Phrases Relating to Efficiency Highlighted Entity How They Express New Retail (Or Equivalent) 以消费者体验为中心的数据驱动的泛零售形态,其核心价值是将最大程度地提升全社会流 Alibaba 通零售业运转效率 提升效率 第四次零售革命下,基础设施变得可塑化、智能化、协同化,实现成本、效率和体验的升 JD 级 智慧零售是去中心化,用信息技术帮助传统零售企业结合人货场提升效率,帮助传统零售 Tencent 企业实现线上线下整合,用户、数据和渠道还在他们手中 Suning 运用互联网、物联网技术,感知消费习惯,预测消费趋势,引导生产制造,为消费者提供 多样化、个性化的产品和服务 Improving Efficiency 新零售更高效率的零售,从线上回到线下,但不是原路返回,而是要用互联网的工具和方 Xiaomi 法,提升传统零售的效率,实现融合 Ministry of 新零售是以消费者体验为中心,以行业降本增效为目的,以技术创新为驱动的要素全面更 Commerce 新的零售 Source: Analysis of relevant publicly-available company announcements, research papers and C-Suite speeches
NEW RETAIL’S KEY GOAL IS TO DRIVE GREATER EFFICIENCY Hema, New Retail’s ‘Poster Child’, uses traditional measures of retail efficiency to benchmark its progress. Snapshot of Hema’s Financial Results (Sept 2018) >RMB 800K >60% REV >RMB 50K AV. DAILY SALES FROM ONLINE ORDERS AV. ANNUAL RPSM (Mature Stores) (Mature Stores) (Mature Stores) Note: Mature stores have been in operation 1.5 years or more. Source: Alibaba Investor Day (2018) materials
NEW RETAIL’S KEY GOAL IS TO DRIVE GREATER EFFICIENCY Hema achieves three to five times more Revenue Per Square Meter than traditional Chinese supermarket and convenience store chains. Comparison of Revenue Per Square Meter (RMB/m2) Between Different Chinese Supermarkets and Convenience Stores (2017) 32,400 11,500 11,700 11,100 9,100 7,100 Hema 永辉超市 红旗连锁 三江购物 华联综超 家家悦 Note: Hema’s RPSM in the above graph is 招商证券 estimate across Hema’s Mature Store Network in 2017. Source: Financial Reports; 招商证券 Analysis.
NEW RETAIL’S KEY GOAL IS TO DRIVE GREATER EFFICIENCY Likewise, Xiaomi’s retail stores use traditional measures of retail efficiency to benchmark its progress. Snapshot of 小米之家 (Xiaomi’s Retail Chain) Financial Results (October 2017) >15M VISITS >RMB 5M ~RMB 30K ACC. FOOT TRAFFIC MONTHLY AV. SALES AV. ANNUAL RPSM (Across 200 Stores in Mainland China) (Across 200 Stores in Mainland China) (Across 200 Stores in Mainland China) Note: ‘Acc.’ is the abbreviation for ‘Accumulated’ Source: Xiaomi’s Investor Day.
NEW RETAIL’S KEY GOAL IS TO DRIVE GREATER EFFICIENCY Hema and Xiaomi’s Revenue Per Square Meter results rank well against international competitors across different product categories. Comparison of Revenue Per Square Meter (RMB/m2) Between Different Retail Players (2017) 41,463 32,400 27,000 20,666 13,262 9,802 Apple Hema Xiaomi Tiffany Lululemon Michael Kors Note: International competitors’ Revenue Per Square Meter result was first recorded in US Dollars based off their retail presence in the US. It was converted to RMB at an exchange rate of 1 USD = 6.85 CNY Source: Financial Reports; 招商证券 Analysis.
NEW RETAIL ADOPTS GROWTH HACKING TECHNIQUES New Retailers break Revenue Per Square Meter and Cost Per Square Meter equations down and look to optimize one or more variables. How New Retailers Conceptualize Revenue Per Square Meter How New Retailers Conceptualize Cost Per Square Meter Traffic Rent Revenue Cost Conversion Rate Labour Basket Size Inventory Retail Space Retail Space Repurchase Rate Marketing
NEW RETAIL ADOPTS GROWTH HACKING TECHNIQUES New Retailers deploy high-tech and low-tech tactics to optimize for specific revenue or cost variables. Hema: Optimizing Revenue Per Square Meter Luckin Coffee: Optimizing Cost Per Square Meter Traffic Accepts online and offline Rent Most stores are pick-up or orders delivery-only stations Basket Size In-app offers entice consumers Labor Hires newly-minted baristas to buy in bulk online to control costs Conversion Rate Individual store inventory is Inventory Focused selection keeps based on store and partner excess inventory low data Repurchase Rate SKU-level data on each Marketing Special offers redeemed by consumer is used for retargeting sharing into WeChat Moments
NEW RETAIL ADOPTS GROWTH HACKING TECHNIQUES New Retailers combine ‘old’ and ‘new’ mental models. ‘Thought Starter on How to Fuse ‘Old’ and ‘New’ Marketing Approaches Acquisition Product Activation Price Retention Place Revenue Promotion Referral
NEW RETAIL WILL CHANGE SUPPLY AND VALUE CHAINS New Retail’s impact isn’t just limited to retailers. High-Level Overview of Retail Supply Chain Design Supplier Manufacturer Warehouse Retailer Consumer Potential Disruptive Impact
NEW RETAIL WILL CHANGE SUPPLY AND VALUE CHAINS New Retail’s impact isn’t just limited to retailers. High-Level Overview of New Retail’s Impact on Retail Supply Chain Design Supplier Manufacturer Warehouse Retailer Consumer Internal and external More directly Improved Unified distribution Obtaining real time Derive benefit from data sets directly involved in the responsiveness, with assets for online data on how omnichannel retail inform the design of product innovation smaller volumes and retail, and stores consumers are experiences, as well new products process to reduce frequent changes to acting as sales and navigating and as products better time to market production lines distribution channels consuming in the suited to their needs retail space Note: Supply chain simplified for illustration purposes.
WHERE’S THE ‘NEW’ IN NEW RETAIL?
THERE’S ELEMENTS OF OLD AND NEW Much of New Retail’s ‘newness’ comes from China-specific factors. 1 ‘New’ is transient and relative 2 China’s ‘Online to Offline’ and ‘Online Merge Online’ models are important catalysts 3 Chinese internet giants are offering Retail-as-a-Service A Retail-as-a-Service is powered by data collection and sharing B Retail-as-a-Service extends to finding and meeting unmet consumer needs
Let’s first talk about some caveats to the ‘new’ in New Retail.
NEW IS TRANSIENT AND RELATIVE The past century saw many retail innovations which feel like standard practice now. Overview of Key Changes in Retail During the Twentieth Century Credit cards Mall culture Home Shopping invented popularized Network premieres First supermarkets First electronic Pizza Hut accepts established cash registers first delivery online invented First bar code First 7-11 opens scanned 1920 1930 1946 1950 1960 1974 1985 1994 Note: Timeline for illustration purposes and not to scale Source: Lightspeed
NEW IS TRANSIENT AND RELATIVE Key elements of the retail supply chain have remained largely unchanged. Simplified Retail Supply Chain Designer Supplier Manufacturer Warehouse Retailer Consumer
O2O AND OMO ARE NEW RETAIL CATALYSTS O2O models have been in China since 2013, and dampen some of New Retail’s novelty. Online To Offline (O2O) Where online apps or portals act as the gateway to real-world services. O2O services are often accessed through scanning a QR code. Common examples include: • Group buying • Food delivery • Ordering at a restaurant • Ride-hailing • Share bikes • Portable battery rental • Movie tickets • ‘Retailtainment’ (e.g.: claw machines) Note: In rennet years, the term ‘O2O’ has come to mean both Online to Offline and Offline to Online.
O2O AND OMO ARE NEW RETAIL CATALYSTS New Retailers have gravitated towards using OMO experiences to enhance spaces and experiences. Online Merge Offline (OMO) Where online apps, portals or services act as a gateway to navigate offline spaces or enhance offline interactions. Common examples include: • Augmented reality functions to display information about products or exhibits • Augmented reality games that incentivize users to explore a space • Smart mirrors that allow users to try on clothes without getting changed • Barcodes that can be scanned to verify a product’s authenticity Image Credit: Images belong to their respective owners and are used here for education and commentary
O2O AND OMO ARE NEW RETAIL CATALYSTS New Retailers might use O2O and OMO models, but New Retail shouldn’t be simply equated with these models’ widespread adoption. Features and Services That Aren’t Strictly New Retail Products-as-a- Sharing Service 30 Minute Scannable Augmented Smart Video Delivery In-Store Items Reality Mirrors Commerce
OK, now we can talk about what’s really ‘new’.
TECH GIANTS OFFER RETAIL AS A SERVICE China’s internet giants are partnering with brick-and-mortar retailers to share data. Alibaba: Retail Integrated (零售通) What it is • Partnership between Alibaba and independent convenience stores • Alibaba modernises convenience stores through technology and analytics • Participating convenience stores receive analytics-driven product recommendations • Participating convenience stores process inventory orders through Alibaba • Participating convenience stores offer new Alibaba products and services to customers Source: Coresight Research Image Credit: Images belong to their respective owners and are used here for education and commentary
TECH GIANTS OFFER RETAIL AS A SERVICE China’s internet giants are partnering with brick-and-mortar retailers to share data. JD: Retail as a Service (祖冲之) What it is • Service offered by JD to offline retail chains • Implemented across all sites in an offline retail chain • JD’s platform uses a combination of own and proprietary data to assist offline retail decision making • This includes choosing optimal locations for new stores, to merchandise mix, to optimizing product placement and shelving • One brand saw an increase of foot traffic by 30% and 80% of SKUs recommended by the platform generated sales after implementation Source: JD External Presentation Image Credit: Images belong to their respective owners and are used here for education and commentary
TECH GIANTS OFFER RETAIL AS A SERVICE Investments, strategic partnerships and data-sharing alliances facilitate data collection and analysis by channel. How Alibaba and its Partners are Positioned Across Different Channels App Automated Convenience Supermarket Hypermarket Convenience Store • Taobao • Biu • 零售通 • Hema • RT Mart • Hema Participant • Auchan • Suning Distance from home 0m 100m 300-800m 1.5-3km >5km Note: Diagram for illustrative purposes only; a selection of examples is shown for clarity.
SKU-LEVEL DATA BUILDS CONSUMER PROFILE China’s new retailers are funnelling payments through individual apps or Mini-Programs to obtain SKU- level data. Collecting SKU-Level Data Offline How it happens in practice • New Retailers, such as Hema and, Bingo Box, compel users to download and pay through the New Retailer’s own app • Larger retailers, such as Walmart, have introduced their own app or Mini-Programs to facilitate scan and payment • Large and small restaurants have implemented scan- to-order and scan-to-pay through QR codes placed on dining tables
SKU-LEVEL DATA BUILDS CONSUMER PROFILE The SKU-level data collected is used for marketing and re-targeting. Leveraging SKU-Level Data How it happens in practice • SKU-level data collected changes how each New Retailer’s app or Mini-Program appears to each consumer • Interface, functionality, layout, available items, prices and content are all customizable • SKU-level data also dictates what promotions consumers receive • In the future, SKU-level data could be also be used to inform dynamic pricing
NEW PRODUCT DEVELOPMENT PARTNERSHIPS e-Commerce platforms are partnering with brands to tap unmet demand or occupy product niches. Tmall Innovation Center Case Study Unilever • The Tmall Innovation Center’s found local consumers were searching for highly-specialized skincare which could remove unobservable pollutant particles from the skin • Unilever designed a range of products to meet this need • They first released a mid-priced skin cleanser with anti- pollutant properties to test demand and establish proof- of-concept • Time from conception to market was six months, down from 18 months to two years Source: Alizila Image Credit: Images belong to their respective owners and are used here for education and commentary
NEW PRODUCT DEVELOPMENT PARTNERSHIPS e-Commerce platforms are partnering with brands to tap unmet demand or occupy product niches. Tmall Innovation Center Case Study Mars • Tmall’s Innovation Center observed a strong relationship between chocolate and spicy snack purchases • Mars developed a spicy peanut chocolate Snickers bar to capture the underserved taste combination • The product was initially sold exclusively online to test demand • Sales of “Spicy Snickers” surpassed RMB 9 million between August 2017 and March 218 Source: Alizila Image Credit: Images belong to their respective owners and are used here for education and commentary
NEW PRODUCT DEVELOPMENT PARTNERSHIPS Increased responsiveness to changes in consumer demand requires Zara-like speed and supply- chain flexibility. Simplified Diagram of Zara’s Supply Chain Key Takeaways 1 2 3 4 5 • Directly incorporate front- line feedback into New Product Development • Short production runs with New design sketch fast turnaround time based on Pattern maker Fabric is cut and Apparel is flown New items managers and creates prototype 8,000 new items from Barcelona to displayed in store trend watchers’ sewn at nearby Zara stores • Test with specific feedback factory worldwide segments, scale winners and shut down unsuccessful launches 25 Days Source: CB Insights; Wall Street Journal
NEW PRODUCT DEVELOPMENT PARTNERSHIPS However, on some occasions, e-commerce giants forgo brand collaboration and go it alone, using platform data to identify market gaps and under-served needs. e-Commerce Giants’ Private Label Plays • NetEase launched 网易严选 in 2016, with Alibaba (under 淘宝心选) and JD (under 京东京造) in 2017 and 2018 respectively • All use manufacturer-to-consumer (M2C) approaches to go from insight to market in a few months • Focus is on functional homeware and everyday necessities • Rich transaction data, solid relationships with factories and manufacturers, existing logistics networks and physical retail locations, e-commerce giants’ private label products have strong foundations Source: Coresight Research Image Credit: Images belong to their respective owners and are used here for education and commentary
In its current form, the ‘new’ in New Retail is hard to articulate, because we’re amidst a somewhat familiar mix of business and digital transformation.
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WHAT’S DIFFERENT ABOUT CHINA’S NEW RETAIL?
NEW RETAIL DOESN’T EXIST IN A VACUUM The US and China can learn and borrow from each other’s retail revolutions. 1 China’s retail revolution is arguably faster 2 China’s adoption of mobile payments gives additional momentum and new direction 3 Both China and the US will likely form New Retail duopolies or oligopolies 4 There’s ample scope to learn from different markets’ application of ‘retail tech’
CHINA’S RETAIL REVOLUTION IS FASTER China’s consumer class are much closer than US counterparts to omnichannel retailing. Share of Worldwide e-Commerce Sales (2015 - 2018) Number of Delivery Orders, Billion Units, (2016) 51% 31 47% 43% 22% 21% 13 19% 2015 2016 2017 China US China US Note: Percentages rounded to the nearest whole number. Source: China Internet Network Information Center; iResearch; State Post Bureau; Pitney Bowes; eMarketer; Forrester; Bain Analysis.
CHINA’S RETAIL REVOLUTION IS FASTER China’s consumer class presently has greater exposure to emerging offline retail technology than worldwide peers. Emerging Technologies Exposed to In-Store, % of Respondents (June 2018) 67% Mobile Coupons Mobile coupoins 49% Personalized Serviceprograms Based 40% onalized service from loyalty on Loyalty Program 26% 37% Augmented Augmented Reality Reality 16% 22% InteractiveInteractive Display Displays 18% 13% China Worldwide Robots Robots 6% Note: Number of survey respondents between different regions differs (Worldwide n=11,891; China n=1,988) Source: JDA, 2018, "2018 Global Consumer Survey" conducted by Opinium Research
MOMENTUM FROM MOBILE PAYMENT ADOPTION China’s volume of mobile payments dwarfs the US. Comparison of Mobile Commerce Volume, % of e-Commerce Comparison of Transaction Volume in Third-Party Transactions Completed on Mobile Mobile Payment Applications, Total USD Transaction Volume, (2011-2020) 90 47T 77 71 58 3 2 8B 15B 112B 9T 283B 2011 2016 2020 2011 2016 2020* US China US China Note: Asterisk (*) refers to projected figures; Forecast for China is 2020, the US is 2021 Source: iResearch Analysis; Bain Analysis; eMarketer Analysis Forester Research Analysis
MOMENTUM FROM MOBILE PAYMENT ADOPTION It’s arguable that take up of mobile payments has made China’s consumer class more comfortable with retail spaces collecting and using their data. Chinese and US Consumer Attitudes Toward Sharing Data with Retailers, % of Respondents (Sep 2017) retailer to have up-to-date information Expect retailer to have up-to- 67% l channels (e.g., in-store, online, social date data across all channels 34% media, home delivery) ble with a Comfortable 61% with retailer retailer monitoring shopping patternsmonitoring purchase patterns and purchases 34% r a retailerHappy 59% China US for retailer to identify whentonearby send and personalized offers send personalised offers 29% Note: Percentages represent respondents who agreed with the survey question Source: PwC, 2018, “China’s Next Retail Disruption: End-to-End Value Chain Digitization”
NEW RETAIL DUOPOLIES Alibaba and Tencent have invested heavily in retail. Tencent and Alibaba M&A Activity, Number of Deals (2017-2018) Tencent Tencent 21 24 19 53 Bain estimates these deals have a combined value of over $12B Alibaba Alibaba 21 20 11 Retail New Tech Media Other Source: Bain & Company Analysis; AB Bernstein Analysis
NEW RETAIL DUOPOLIES This investment has given Alibaba and Tencent stakes in China’s leading retailers. Market Share and Affiliation of China’s Leading Retailers (Q1 2018) 8.2% 6.4% 5.1% 3.3% 3.2% 2.8% 2.0% 1.7% 1.4% 1.2% 高鑫零售 华润万家 沃尔玛 家乐福 永辉集团 百联集团 物美 武商联集团 SPAR集团 步步高 Alibaba Tencent Unaligned Source: 品途商业评论 Analysis
NEW RETAIL DUOPOLIES Alibaba and Tencent are competing head-to-head across multiple retail propositions. Alibaba and Tencent New Retail Chains by Category, Number of Chains Per Category (Q1 2018) 5 4 3 3 3 3 2 1 1 1 New Retail Supermarket Residential Complex Experience Center Chains Automated Retail Chains B2B New Retail Business Chains Supermarket Chains Solutions Alibaba Tencent Source: 品途商业评论 Analysis
NEW RETAIL DUOPOLIES Almost half of the US’ e-commerce sales are through Amazon. Amazon’s Share of the US’ Retail e-Commerce Market (2016-2019) 53.7% 49.1% 44.1% 38.3% 2016 2017 2018 2019 Source: eMarketer.
NEW RETAIL DUOPOLIES Amazon and Walmart can be considered ‘the last two standing’ in a 10-year reversal of large US retailers’ fortunes. Comparison between Market Value of Select US Retailers (2006 & 2016), $US Billions 356 214 212 51 40 18 28 24 13 11 Amazon Walmart Target Best Buy Macy's Peak Market Value (2006) Peak Market Value (2016) Note: All figures rounded to nearest billion. Source: Yahoo Finance; Google Finance
NEW RETAIL DUOPOLIES Walmart holds more than a quarter of the US’ $800 billion grocery market. Comparison of US Grocery Market Share (2018) 26% 10% 5% 4% 3% Walmart Kroger Albertsons Ahold Publix Note: Grocery market includes online and offline purchases. Source: Internet Retailer; Euromonitor
NEW RETAIL DUOPOLIES Amazon and Walmart will compete more closely as lines between online and offline retail blur. US Online Grocery Retail Market Share (2018) 18% 8% 7% 6% 5% Amazon Walmart Peapod Fresh Direct Instacart Source: Packaged Facts.
AUTOMATED RETAIL IS A LEARNING OPPORTUNITY Common challenges hinder fully automated retail’s implementation. A Sample of Fully Automated Retail Challenges Promise-Reality Task and Job Balancing Saved Fulfilment Competition Gap Replacement and Added Costs Can automation deliver Can robots absorb or Robots can pick, pack Can fully automated At what point does the lower labor costs, remove all the tasks and stack in a retailers compete with cost saved from improved productivity that make up a retail controlled warehouse, e-commerce and the automation absorb or and happier customers assistant’s job? but does this extend to next generation of recover additional as it promises? a store environment? larger, more ubiquitous costs created by vending machines? reskilling, fulfilment, theft and lost revenue?
AUTOMATED RETAIL IS A LEARNING OPPORTUNITY Each market specific faces challenges, and there’s plenty of room for mutual learning. A Sample of Specific Market Challenges US China • Achieving Efficient Capital Allocation • Achieving Scale • Weaker Technical Foundation, Resulting in Reliance on RFID • Levels of Customer Acceptance Tags • Fears of Destabilized Employment and Reduced Job Security • Reduced Profits Due to Loss and Theft • Retraining and Upskilling for Low-Skill Retail Assistants • Channel Competition from e-Commerce and Vending Machines
AUTOMATED RETAIL IS A LEARNING OPPORTUNITY Amazon Go would be envious of Bingo Box’s scale; and Bingo Box would be envious of Amazon Go’s artificial intelligence and computer vision capabilities. High-Level Comparison Between US and China’s Leading Automated Retail Propositions • 8 stores in 3 US States • 400 locations in 40 cities • 1000 to 2000 items per store • 400 to 800 items per store • Uses artificial intelligence and computer • RFID tags on each item, with goal to move vision to calculate payment to artificial intelligence and computer vision Note: Figures accurate as at December 2018 Source: Kiosk Marketplace; Quartz
AUTOMATED RETAIL IS A LEARNING OPPORTUNITY However, leading retail propositions in both countries have had their challenges. Amazon Go has had Bingo Box has fallen issues managing traffic. short of its store opening target. Limited boxing and bagging options take Some media reports away from promises of have suggested that it’s urban convenience. struggled to manage its burn rate, and is at risk of not receiving further funding.
WHAT’S NEXT FOR CHINA’S NEW RETAIL?
THREE WAVES OF NEW RETAIL We’re going to witness change across the entire retail supply chain and value chain. 1 There will be Three Waves of New Retail, and each waves’ impact will be more disruptive than the last 2 New Retail’s First Wave is focused on improving the retail industry’s efficiency 3 New Retail’s Second Wave will focus on re-organizing supply chains 4 New Retail’s Third Wave has the potential to turn how we buy and sell things upside-down
The key to traditional retail success was buy low, sell high and optimize everything in between. This model is under threat.
NEW RETAIL’S CONTINUING EVOLUTION There will likely be three waves of New Retail. WAVE 1 WAVE 2 WAVE 3 RPSM Radical Upending Revolution Reshaping Everything Improving retailers’ Reshaping how Rethinking how things operating efficiency supply chains work are bought and sold
NEW RETAIL’S CONTINUING EVOLUTION Each waves’ impact will be more disruptive than the last. The Three Waves of New Retail’s Anticipated Disruption to Retail Industry 70 First Wave Second Wave Third Wave (Economic Impact on 60 RPSM Revolution Radical Reshaping Upending Everything Level of Disruption Retail Industry) 50 40 30 20 10 0 1 2 3 4 5 6 7 Time (Overall Market Life Span) Note: Disruption is theoretically difficult to measure. Here, an overall measure of economic impact on the retail industry is proposed, which is taken as positive and negative impact on commerce and employment.
THE FIRST WAVE IS CENTERED ON EFFICIENCY New Retail’s first wave is focused on improving retail business’ efficiency. New Retail’s First Wave – RPSM Revolution Designer Supplier Manufacturer Warehouse Retailer Consumer Main Disruptive Impact
THE FIRST WAVE The first wave will mostly involve changes to shopfronts and retail experiences to maximize traffic, conversion, basket size and repurchase rate. How Belle International Used Analytics to Improve Revenue Per Square Meter 3D Foot Scan Traffic Heat Map RFID in Shoes and Floor Mats Increase Conversion & Optimize Traffic and Conversion Increase Conversion Rate Basket Size Image Credit: Images belong to their respective owners and are used here for education and commentary.
THE FIRST WAVE The first wave will mostly involve changes to shopfronts and retail experiences to maximize traffic, conversion, basket size and repurchase rate. How Innisfree Used Smart Tech to Improve Revenue Per Square Meter Skin Analyzer Smart Shelves Cloud Shelf Optimize Traffic and Conversion Increase Conversion Rate Increase Conversion Rate Image Credit: Images belong to their respective owners and are used here for education and commentary
THE FIRST WAVE In the first wave, New Retail thinking and practice will mostly be deployed across five categories. 1 2 3 4 5 Fresh Food Clothing Beauty Furniture Electronics
THE SECOND WAVE IS CENTERED ON SUPPLY CHAINS New Retail’s second wave will reorganise supply chains and eliminate ‘middlemen’. New Retail’s Second Wave – Radical Reshaping Designer Supplier Manufacturer Warehouse Retailer Consumer Main Disruptive Impact
THE SECOND WAVE The second wave’s biggest change will likely be the creation of ‘Consumer-to-Business’ data feedback loops which facilitate agility in new product development. Consumer to Business Data Feedback Loop Product Flow Potential Implications • More Manufacturer-to- Consumer Models Designer Supplier Manufacturer Warehouse Retailer Consumer • Local On-Demand Manufacturing and Supply Chain Solutions • Initial e-Commerce Forays Information Flow to Confirm Demand
THE SECOND WAVE New technology allows big and small players to adopt new levels of made-to-order and just-in-time production. Lesara My Daily Dose Zozotown Heuritech Fast Fashion From Custom-Blend Online Decoding Trends Big Data Skincare Custom-Fit From Images Agile fashion An online ‘Skin Identity’ Zozotown’s app takes The world's first AI manufacturer that uses quiz understands skin users’ measurements, service that can predict data from search and concerns and lifestyle and custom-fit fashion trends based on social to predict trends factors, before garments are sent two millions of images and optimize recommending a weeks from purchase shared each day on turnaround on custom serum social media emerging styles Note: Lesara filed for bankruptcy in November 2018
THE SECOND WAVE Circular economy elements will be fixed into retail supply chains. Five Circular Economy Business Models Products-as-a- Product Life Circular Recovery & Sharing Service Extension Supply Chains Recycling Digital platforms and Replace ownership Remanufacturing and Suppliers and partners Create economic value marketplaces models with pay-per- repairing used use recycled materials through the recovery employed to maximize use to maintain products to give them a repeatedly to save and re-use of raw the use of underused products for longer and longer life with existing costs and increase materials assets offer new services or new customers supply chain predictability Source: Accenture Analysis; McKinsey Analysis
THE SECOND WAVE Pre-owned, refurbished, repair and rental models are presently supported by forward-thinking brands and start-ups. Patagonia Ba&sh Y-Closet Rewind Complimentary Complimentary Subscription-Based Pre-Owned Fashion Repairs Clothing Rentals Rental Platform Marketplace Patagonia offer to Ba&ash provides free Chinese rental platform Collaborating with e- repair (or teach owners weekend clothing rental that facilitates rental of commerce platforms how to repair) old to shoppers at its New women’s apparel and like Farfetch, Rewind garments to make them York experiential store accessories for a has created an online last longer monthly membership network for pre-owned fee luxury products
New Retail’s biggest breakthrough will come when we don’t repurpose existing or emerging technology to fit how we’ve always bought and sold things.
THE THIRD WAVE WILL CHANGE HOW WE BUY AND SELL New Retail’s third wave could potentially change how we think about buying and selling. New Retail’s Third Wave – Upending Everything Designer Supplier Manufacturer Warehouse Retailer Consumer Main Disruptive Impact
THE THIRD WAVE WILL CHANGE HOW WE BUY AND SELL Buying and shopping have decoupled, and different buying behaviours will continue to take on highly differentiated purchase journeys. Distinction Between Different Buying Behavior Potential Ways for New Retail to Change Buying Behavior High Low High Low Involvement Involvement Involvement Involvement Significant Complex Significant Variety-Seeking Custom Design & Subscription Differences Shopping Differences Buying Behavior Manufacture Models Between Brands Behavior Between Brands Few Differences Dissonance Habitual Few Differences On-Demand Automated Between Brands Buying Behavior Buying Behavior Between Brands Product Trial Purchases
THE THIRD WAVE How we transfer physical goods will fundamentally shift – from delivery to printed on-site. Peek into the Future: Gillette’s Razor Maker What it is • Gillette has piloted Razor Maker to create customized, direct-to-consumer 3D printed parts • Consumer creates their handle through the Razor Maker website and the design is printed, prepared and mailed Where it could go • Adoption of 3D printers in homes, apartment blocks or neighbourhoods • Transformation or reconceptualization of to-door delivery Source: Formlabs; TechCrunch Image Credit: Images belong to their respective owners and are used here for education and commentary
THE THIRD WAVE Consumers’ expectations of abundance will be reinforced through mass-customisation. Peek into the Future: Adidas Futurecraft 4D What it is • Adidas can produce custom-soles that meet the needs of different professional and semi-professional athletes • The underlying technology can be applied to individual consumers’ dimensions and needs Where it could go • Movement away from mass production to on-demand models of production • Elimination of apparel and shoe sizes Source: Adidas Image Credit: Images belong to their respective owners and are used here for education and commentary
THE THIRD WAVE We’ll abandon traditional measures of retail success, like RPSM and CPSM. How some traditional retail metrics could change to meet omnichannel retail realities From To • RPSM and CPSM • Value of new services or engagement derived • Foot traffic • In-store engagement • Individual store sales performance • Online and offline performance over a geographic area • Sales revenue by product segment • Acquisition, growth and retention by customer segment
WHERE IS THE OPPORTUNITY?
GET ON TOP OF IT We’re two years into New Retail and the RPSM Revolution is well underway. 1 New Retail activity is presently concentrated in five categories 2 There are ‘Copy to China’ and ‘Copy From China’ opportunity flows 3 Businesses need to make their organization ‘ambidextrous’ to take advantage
THE SHORT-TERM OPPORTUNITY New Retail’s presently focused on five categories. 1 2 3 4 5 Fresh Food Clothing Beauty Furniture Electronics
FIRST-MOVER OPPORTUNITY There’s still some scope to be a New Retail pioneer in four categories. 1 2 3 4 Luxury Accessories Homewares Storage
TWO OPPORTUNITY FLOWS There is opportunity across ‘Copy From’ and ‘Copy To’ China models. Bring businesses, processes, practices and experiences compatible Copy to China with New Retail to China Export New Retail business models, process, practices and experiences Copy from China to home market
TWO OPPORTUNITY FLOWS Some gadgets, gizmos and experiences that shaped perceptions of New Retail are the result of ‘Copy to China’ innovation. Examples of ‘Copy To China’ New Retail’ Innovation Smart Mirrors Skin Diagnostic Image Credit: Images belong to their respective owners and are used here for education and commentary
TWO OPPORTUNITY FLOWS Some gadgets, gizmos and experiences that shaped perceptions of New Retail are the result of ‘Copy to China’ innovation. Examples of ‘Copy To China’ New Retail’ Innovation Car Vending Machines On-Demand Grocery Delivery Image Credit: Images belong to their respective owners and are used here for education and commentary
TWO OPPORTUNITY FLOWS Chinese innovations are also making their way abroad. Examples of ‘Copy From China’ New Retail’ Innovation Augmented Reality Applications Social Media O2O Discounts Image Credit: Images belong to their respective owners and are used here for education and commentary
INCREMENTAL AND RADICAL INNOVATION New Retail thinking and practices can be applied to a combination of incremental innovation, radical innovation, or both. Ambidextrous Organisations What it is • O’Reilly and Tushman argue that to flourish over the long run, most companies need to maintain a variety of innovation efforts. • Companies must constantly pursue incremental innovations, small improvements in existing products and operations. • Companies also have to make radical innovations, applying technological or process advances to fundamentally change element of their business. • Ambidextrous Organizations undertake both incremental and radical innovation, at the same time. Source: Tushman and Oreilly III (2004), ‘The Ambidextrous Organization’, Harvard Business Review; Arthur D. Little; Image Credit: Images belong to their respective owners and are used here for education and commentary
INCREMENTAL AND RADICAL INNOVATION There are opportunities for incremental innovation across revenue, costs, acquisition and retention. Helpful jumping off points for incremental innovation in foreign firms’ China retail presences RPSM CPSM Acquisition Retention How can we use What revenue What do we do after What cost drivers online and offline to drivers can customers have can we ‘hack’? acquire new we ‘hack’? made a purchase? target customers?
INCREMENTAL AND RADICAL INNOVATION New Retail gives scope to about your business’ future. Helpful jumping off points for radical innovation in foreign firms’ China retail presences New Needs Competencies Partner Supply Chain How do we place Where will our new What partnerships What’s the shortest ourselves to serve competencies could take us to the path to our emerging customer come from? next level? customer? needs?
Confronted with new opportunities, people tend to lose out in four ways: they don’t see it coming, they turn their nose up at it, they don’t understand it, or they’re too late to adapt. Jack Ma
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