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Using applied engagement intelligence to reshape consumer

Using applied intelligence to reshape consumer engagement

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Page 1: Using applied intelligence to reshape consumer engagement

Using applied

engagement

intelligence to reshape consumer

Page 2: Using applied intelligence to reshape consumer engagement

Businesses now operate in a new era of consumerism

01Hyper-personalization and on-demand delivery are as important as the products they sell.

02The ability to meet each customer’s needs - anytime,anywhere - is a new hallmark of competitiveness.

03The ability to provide relevant, consistent and satisfying experiences at every consumer touchpoint is a key differentiator.

Using Applied Intelligence to Reshape Consumer Engagement 2

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Out with the old: Traditional customer-acquisition strategies are losing their appeal

50%

58%

Chinese CEOs indicate that, under traditional strategies, relationships between businesses and consumers are weakening.

Chinese CMOs indicate that major brands are losing their appeal to consumers.

Figure 1. Changes in overall market share of the top 10 brands for major consumer goods categories.

Source: Accenture CMO and CEO survey, Euromonitor Consulting, Accenture Research

Soft drinks

Beer

Dairy products

Home care

Food

Clothing

Cosmetics and beauty products

Using Applied Intelligence to Reshape Consumer Engagement 3

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In with the new: The integration of data analytics, artificial intelligence and automation-what Accenture calls “applied intelligence”-offers a new way for companies to win customers.

Using Applied Intelligence to Reshape Consumer Engagement 4

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What is applied intelligence? Simply put, applied intelligence refers to a set of tools for collecting, processing and analyzing data. Its “intelligence” derives from its ability to generate consumer insights faster and more effectively than ever before. With those insights, business leaders can identify opportunities for action more precisely and, in many cases, implement those actions automatically. The result is new business value.

Applied intelligence comprises three interrelated solutions: data analysis, artificial intelligence and automation.

Figure 2. Applied intelligence influences the entire cycle of consumer-enterprise interactions.

Consumer expectations

Real-time Hyper-

Data a

naly

sisA

utomation

Consumer insights

Applied intelligence

Digital marketing

Digital commence

In-store interaction

After-sale services

response connectedness Consistency Satisfaction

Using Applied Intelligence to Reshape Consumer Engagement 5

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Applied intelligence is ushering in four major changes to consumer engagement

Change No. 1Super-granularity

Chang No. 2Hyper-personalization

Change No. 3True intelligence

Change No. 4 Intelligent products

Using Applied Intelligence to Reshape Consumer Engagement 6

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Omni-channel data collection and ecosystems Digital and intelligent technologies are making it possible for more and more consumer goods companies to collect data both online and off. Artificial intelligence, for example, is helping brick-and-mortar stores obtain real-time data for in-depth analysis. Data reports that were made on a monthly, weekly or daily basis in the past can now be made every few hours or even minutes. Through social media and e-commerce platforms, companies can effortlessly access consumer feedback and opinions, whenever they want. BAT (Baidu, Alibaba, Tencent) platforms have unparalleled data advantages; collaborating with these platform players as ecosystem partners can offer access to an expanded set of data resources. In addition, consumer goods—which are, themselves, becoming more and more intelligent—constitute another important channel for collecting data.

Hyper-granularity and real-time dataThe prevalence of mobile phones, cameras and sensors make it possible for companies to obtain data not only in real time, but in multi-dimensional formats. For instance, a mood-detection camera installed in a physical store captures, in real time, consumers’ first impressions of a product. Some companies are experimenting with eye-tracking technologies to understand consumers’ product and packaging preferences; their goal is to use that eye-tracking data to adjust their product offerings and packaging designs.

Digital operating platforms and AI algorithms Digital operating platforms integrate data from various internal and external sources and turn that data into valuable insights with the help of AI and analytical tools. They accelerate a company’s understanding of customers and make break-through consumer engagement a reality. AI algorithms, for instance, can combine multi-dimensional data pertaining to product, customer and environmental characteristics and recommend the most suitable products in a given circumstance.

Omni-channel data collection, ubiquitous cameras and sensors, intelligent equipment and third-party data platforms are all enabling consumer goods companies to obtain vast amounts of data that were unconceivable in the past.

Trend 1: Super-granularity

Using Applied Intelligence to Reshape Consumer Engagement 7

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Multi-dimensional consumer data is opening up break-through business opportunities

Liquor company Jiangxiaobaitracks the customer shopping journey

Unilever uses eye-tracking technology to improve product packaging design

L’Oréal and T-Mall join forces to establish a consumer asset database

By using the WeChat platform and Tencent digital technologies, Jiangxiaobai enables customers to authenticate and track the logistical journey of the liquor they have purchased. Additionally, as soon as shoppers scan the QR code on the liquor bottle using WeChat, the big data engine creates and displays a unique shopping profile. That profile includes the shopper’s gender, the store where the QR code scan took place, the variety of liquor purchased, purchase frequency and dates, and even fellow shoppers who purchased the same liquor.

L’Oréal launched its e-commerce division in 2016, formally integrating its offline and online operations. Earlier, the company worked with T-Mall to establish a consumer asset database, which was designed to target consumers more accurately. It is reported that the value of L’Oréal’s consumer digital assets exceed US$100 million, with more than 2,000 tags per consumer.

Eye-tracking sensor technology can pinpoint the focus of a customer. Its value lies in its ability to monitor customers’ gaze points and glean insights into their subconscious shopping behaviors. Unilever is using this innovative solution to collect shoppers’ attention data. With that data, the consumer goods giant can better understand the in-store factors that are most valuable and influential in the purchasing process. Further, the huge amounts of information Unilever collects through eye-tracking technologies help the company identify the design and information features of its products that resonate most with shoppers. This allows the company to optimize product packaging design and, by extension, build brand awareness and perception.

Using Applied Intelligence to Reshape Consumer Engagement 8

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Data-driven middleware platforms are increasingly valued by consumer goods companies

A Chinese dairy products company designed its middleware platform to not only support customer services, conversion, retention and in-store sales, but also assist in business planning and operational efficiencies.

To take optimal advantage of China’s extensive digital ecosystem, a leading oral healthcare company is planning to set up a digital platform to help manage its operations in the country. The data-driven digital middleware platform will help the company not only integrate channels and consumer data more effectively, but also refine its approach to data processing, analytics and application development.

179.4

22.2 52.285.3

125.7

2022e

2018

2019

2020e

2021e

47.50%

135%

63.3%

42.7%

47.5%

Figure 3. The Chinese market for digital middleware platforms is growing fast

Source: Research Report on Chinese Digital Operating Platform Industry (2019), iResearch

Market size (unit: 100 million yuan)

Increase (%)

Using Applied Intelligence to Reshape Consumer Engagement 9

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Questions to ask when pursuing super-granular insights:

How can we develop an omni-channel data-collection capability?

How shall we screen data sources?

What kind of digital middleware platforms do we need most?

01

02

03

04 How can we best ensure consumer safety and security when collecting and utilizing data?

Change 1

Using Applied Intelligence to Reshape Consumer Engagement 10

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Hyper-Granular Customization

Customer demand for more personalized experiences is on the rise. In addition to helping businesses reduce the cost of customer interactions, applied intelligence can be used to create granular personalized experiences. With applied intelligence, no two customers purchasing the same product will have the same experience. For instance, pressed powder products are now available in thousands of shades. Beer can be modified to suit the specific tastes of the consumer. And 3D printing ensures that a facial mask one purchases will fit perfectly to the user’s face.

Customized ProductsIntelligent technologies and sensors that visualize data, detect emotions or recognize voices to monitor shoppers’ behaviors can also be used to make consumer goods more intelligent and personalized. More and more products can be customized anytime by consumers according to their needs, preferences or even changes in their social environments. For example, with 3D printing technology, users can make adjustments to their face mask products, ensuring a better fit. Similarly, a skincare product user can easily fine-tune the product formula at home according to his or her skin conditions. In effect, users can make their own bespoke skincare products.

Applied intelligence is taking personalized customer experiences to new heights. Granular insights are increasingly shaping the shopping journey, making it more personalized and seamless.

Trend 2: Hyper-personalization

Using Applied Intelligence to Reshape Consumer Engagement 11

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Hyper-granular customization

Lancôme’s Le Teint Particulier Intelligent X’s AI beerNeutrogena MaskiD™

Johnson & Johnson’s Neutrogena brand has introduced the first and only personalized custom-3D-printed sheet mask, Neutrogena MaskiD. Unlike traditional face masks, the Neutrogena MaskiD is made entirely by 3D printing and is based on a smartphone 3D camera’s multi-dimensional map of a consumer’s face. In addition to having a mask that forms to their exact facial profiles, customers can adjust the mask’s ingredients to create an even more personalized user experience. Specifically, users are able to select ingredients for six different facial zones of the face, including the forehead, eyes, cheeks, nose, chin, and nasolabial folds. The purchasing process is easily completed through a smartphone.

L’Oréal’s Lancôme beauty brand has introduced Le Teint Particulier, a patented foundation color-blending technology based on artificial intelligence, which customizes the foundation shade to match the user’s precise skin tone.

Here’s how it works. A Lancôme cosmetic consultant determines the customer’s facial skin tone using a handheld scanner and runs the results through a computer. The computer then creates a proprietary formula based on 20,000 different shades and prepares the custom foundation while the customer waits.

Intelligent X has made a name for itself by producing the world’s first beer that uses AI algorithms and machine learning to adjust its recipe. To date, four varieties have been created: Black AI, Golden AI, Pale AI and Amber AI.

AI beer customers provide feedback about the beer they try through the Facebook Messenger app. With automated brewing intelligence, Intelligent X processes that feedback using machine learning and Bayesian optimization algorithms and sends the resulting insights to the brew master.

Although there are only four AI beer varieties currently available, the flavors of the beer keep changing based on machine learning of consumers’ feedback. Intelligent X will continue refining its approach to collecting customer feedback and preferences by automatically adjusting its questions

to customers online.

Using Applied Intelligence to Reshape Consumer Engagement 12

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Customized products

L’Oréal Perso Procter & Gamble’s Opté ™ Precision Skincare System

L’Oréal’s Perso, unveiled in 2020, is an AI-enabled smart device that features a streamlined four-step process to deliver customized skincare solutions based on one’s skin conditions and adjusted to accommodate environmental effects such as pollution or UV exposure.

The Perso app uses AI to analyze the user’s skin conditions, such as deep wrinkles, fine lines and dark spots. Using geo-location data, Perso assesses local environmental conditions that may affect a user’s skin. Customers play a role, too, by entering their personal skincare concerns—such as fine lines, dark spots and pigmentation—into the app. They can also enter their texture and hydration-level preferences. Once all these data is collected and analyzed, Perso creates a personalized skincare formula and dispenses it in a single-use dose.

Perso’s AI platform assesses skin conditions and automatically adapts its future formulas based on personal usage results.

Procter & Gamble has introduced a revolutionary skincare system that integrates optical technologies, patented algorithms and printing technologies.

As consumers gently move the Opté Wand over their faces, a blue LED scan light analyzes their complexion and detects age spots, sun spots and discolorations. A digital camera captures 200 skin images per second, providing approximately 24,000 pictures for analysis with each use. A precise color algorithm processes 70,000 lines of code in real time to determine the size, shape and intensity of each skin spot. Finally, a micro serum jet printer with 120 thermal inkjet nozzles deposits 1,000 optimizing serum droplets on each skin spot to achieve precise coverage and create a natural, even and smooth appearance.

The Opté precision serum is made up of three key ingredients: mineral pigments that provide immediate coverage and deliver a flawless look; spot-lightening ingredients that reduce the appearance of age spots; and

moisturizers that help the skin stay hydrated.

Using Applied Intelligence to Reshape Consumer Engagement 13

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Questions to ask when pursuing hyper-personalization:

01

02

03

04

How can we design personalized products and services by employing data and analytical tools?

How can we ensure the services we provide are customized to customer needs?

How can we maximize profitability, while providing personalized products and services?

De we need to upgrade our process of providing customized products and services?

Change 2

Using Applied Intelligence to Reshape Consumer Engagement 14

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Creating new interactions with consumers via virtual idolsWith intelligent technologies, consumers and consumer goods companies are interacting in ways that are increasingly “real” and multi-dimensional. Virtual idols, enabled by AI, are an example of this trend. Capable of self-learning, these idols now serve as virtual brand ambassadors. They grow and evolve, offering a powerful route to connecting with a new generation of consumers, especially in Asia.

Immersive interactions deepen brand-consumer engagementGiven the immersive experiences and online and offline interactions they now enable, augmented reality (AR) technologies are increasing favored by brands like Budweiser, Pepsi Cola and Burger King. During the COVID-19 outbreak, AR is proving to be an effective channel for facilitating communications between consumer goods companies and consumers. For instance, in May 2020, L’Oréal released custom-branded augmented reality lenses for the Snap Camera desktop platform. With these lenses, users can try on various beauty looks across multiple categories such as hair color, makeup and skincare.

Big data and intelligent technologies are making interactions with consumers more efficient by enabling seamless coordination and, in some cases, self-service. Augmented/virtual reality, voice and image recognition technologies are steadily advancing, resulting in virtual consumer experiences that increasingly mimic those in the real world.

Trend 3: True intelligence

5G brings about a “touchable,” full-dimensional consumer experienceThe advent of 5G promises to unlock the full potential of augmented reality and virtual reality technologies by transforming customer engagement and enabling new, full-dimensional customer experiences. Unlike existing mobile communication technologies, 5G networks support voice and visual interactions and enable virtual interactions as if in the real world. With these capabilities, 5G can usher in more “touchable” interactions. For instance, online shopping will involve not only entering virtual fitting rooms that give shoppers the opportunity to “try on” clothes, but also learning about the textures and fabrics of clothes through the Internet of Things.

Using Applied Intelligence to Reshape Consumer Engagement 15

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Virtual idols are easily mistaken for real customer service agents

Zhu Yilong—Coca-Cola’s new spokesperson

Yumi—SK-II’s new digital skincare advisor

Wilson—Watsons’ AI brand spokesperson

Coca-Cola and iFlyTek have paired up to introduce voice-based interactions on the H5 WeChat interactive platform. Upon accessing the H5 activity page, the consumer will hear well-known Chinese actor and Coca-Cola spokesperson Zhu Yilong’s personal greetings. Although AI-enabled, Zhu’s artificial voice highly resembles his own in terms of tone and emotionality.

Japanese cult skincare brand SK-II has partnered with AI start-up, Soul Machines, to create its first digital influencer named Yumi. In addition to serving as SK-II’s new brand ambassador, Yumi provides skincare consulting advice through apps 24 hours a day.

Watsons, the flagship health and beauty brand of China’s A.S. Watson Group, has introduced Wilson, an attractive young AI chatbot to serve as Watsons China’s virtual spokesperson. He provides customers with personalized beauty advice, helps to promote Watsons’ brand and, more importantly, serves as a beloved virtual idol that grows and evolves along with consumers.

Using Applied Intelligence to Reshape Consumer Engagement 16

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Immersive consumer experiences created with extended reality

AR Vendor—AB InBev’s augmented reality supplier

Burberry’s augmented shopping assistant

While searching Google for Burberry products, a customer can see the luxury brand’s products in actual size by using augmented reality and simultaneous localization and mapping technologies. This makes it possible for potential buyers to closely examine product features. In this way, AR is helping to incentivize more purchases.

AB InBev collaborated with Snap to create an augmented reality filter on the Snapchat app for its Bud Light product. Customers can open the rear camera through Snapchat and put the salesman for AB InBev beer in any virtual space. For even more fun, they can pose and interact with him.

52%

57%

Chinese consumers would like to experience the products they want to purchase using augmented reality or virtual reality technologies

Chinese consumers either already use augmented reality or virtual reality technologies or are interested in purchasing these products

Source: Accenture Research

Using Applied Intelligence to Reshape Consumer Engagement 17

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Questions to ask when pursuing true intelligence:

01

02

03

04

How can we provide human-centered consumer experiences that are enabled by AI?

How can we prevent users from becoming addicted to AI-enabled interactions?

How can AI-enabled customer service and human customer service complement each other and be seamlessly integrated?

Will the use of AR virtual idols pose ethical risks?

Change 3

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Intelligent products have changed company-customer interactions As intelligent consumer goods expand their functionalities, they are changing—and becoming integral to—the interactions between consumers and companies. The main reason is that data collected from intelligent consumer goods can be integrated in the product’s entire life cycle. As a result, consumers are not only users of products and services. They are co-producers, as well.

Intelligence in consumer goods means more than voice recognitionRapidly advancing natural language processing technologies and applications are already enabling consumer products to feature voice-based interactions. As the intelligent era evolves, interactions between humans and intelligent products will become even more person-centered. That means today’s voice-based interactions will gradually give way to “super-interactions” that are based on emotions, body sensations, and even human thoughts.

Sharing within an intelligent ecosystemA number of products that are essential to human lives are becoming intelligent. These include skincare products, clothing, home appliances, vehicles and homes. In order to make their products truly intelligent and scalable, consumer goods companies need to take optimal advantage of data and data-sharing applications. That means actively participating in a data-sharing ecosystem.

While consumer goods companies mainly use intelligent technologies to boost production, supply chain, and digital marketing performance, a number of them are seeing the value of making their products intelligent. The rapid emergence of intelligent consumer goods—ranging from cosmetics to home care products to sports clothing—is significantly changing the way consumers interact with companies.

Trend 4: Intelligent products

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Currently, applied intelligence in the consumer goods industry is in its infancy. The field is dominated by voice connections and intelligent testing. Some of the most common forms of intelligent applications are found in virtual fitting rooms, personalized skincare and oral healthcare products, and wearables. While all of these are still gaining traction, they are expected to become widespread soon.

12%2%

Production of wearable equipment in China has been on the rise in recent years, topping 89.61 million units in 2019. That figure is expected to soon surpass 100 million units, an increase of

The apparel industry accounted for 2% of the production of wearable equipment in 2019.

Source: iResearch.

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Intelligent products + intelligent algorithms = personalized, dynamic consumer experiences

Colgate’s intelligent toothbrush

Procter & Gamble’s home-scenting device

Meitu’s AI-powered skin-cleansing device

The Colgate® Plaqless Pro is a revolutionary

toothbrush designed to detect accumulated

biofilm and provide real-time guidance for effective

brushing. A light ring incorporated around the

toothbrush emits a blue light when plaque is

detected, and a white light signals when the plague

is removed. Paired to the brush through Bluetooth

technology, the Colgate Connect App offers users

an even more precise, personalized brushing

experience. Sensors embedded in the toothbrush

handle create a complete map of the user’s mouth.

In addition to oral hygiene tips, the app provides

instant feedback on areas that are clean and areas

that need more brushing.

Procter & Gamble has introduced AIRIA, a

breakthrough fragrance technology that provides

a highly personalized approach to home scenting.

AIRIA produces a customized fragrance based on

user preferences and environmental conditions;

its iOS and Android apps enable users to adjust

their scent, set ambient lighting, and see how

much fragrance is left. Users can even change their

preferences via Alexa voice commands.

Meitu Spa offers users a personalized skincare

regimen. Using deep-cleansing sonic pulsation

technology, users can use the smart, clam-shaped

device for sonic cleansing, deep extraction, skin

nourishing, or warm massage. Unlike most skincare

devices on the market, Meitu Spa can be connected

to a smart phone through “Meitu Skincare Manager”

app. In addition to revolutionizing the face-washing

experience, Meitu Spa offers an AI feature that

allows consumers to monitor and improve the

condition of their skin.

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Fashionable and intelligent high-tech wearables

Xiaomi’s Amazfit outdoor running shoes

Codoon intelligent workout wear

Bloomer Tech’s intelligent underwear

These intelligent running shoes are embedded with

the second-generation Amazfit intelligent chip,

which connects to the Internet while the user is

jogging. When the user starts running, the shoes

accurately measure and record how frequently the

ball of the foot touches and is lifted from the ground.

The workout wear is equipped with a portable heart

rhythm monitor. Drawing on real-time heart rhythm

data and workout goals, the monitor provides voice

instructions through a mobile app to help the user

adjust breathing frequency and workout intensity for

optimal fitness outcomes.

Bloomer Tech uses advanced fabrics technology

and machine learning to turn an ordinary article of

clothing, a woman's bra, into a healthcare device.

Whether a woman is partaking in physical exercise

or not, the Bloomer Bra can—through embedded

and washable sensors and circuits—monitor her

heart rhythm, heart rate variability, blood pressure,

body temperature and oxygen saturation to help her

improve her heart health. All of that data can be sent

in real time to caregivers and doctors so they can

better understand each woman’s specific heart-

health needs.

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Questions to ask when considering intelligent products:

01

02

03

04

How can we design intelligent consumer goods that enhance interactions with consumers?

How can we develop a data strategy for intelligent consumer goods?

How can we embed intelligent functionalities and features in products in ways that do not substantially raise the overall costs of these products?

How can we integrate intelligent consumer goods with other intelligent devices to provide consumers an integrated “intelligent life”?

Change 4

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Recommended actionsIt is crucial that applied intelligence be human-centered, data-oriented and technology-driven for it to reshape interactions between consumers and companies.

Creating a value-oriented, AI-enabled strategy for interactions

Releasing the value of consumer data

Embracing new data science

Designing new consumer experiences

Applying ethical AI practices and applications

Rapidly develop products and services.

Use the Internet of Things to manage real-time consumer data flows.

Rapidly test products and iterate development in an agile environment.

Innovate AI-enabled consumer experiences in a human-centered way.

Prioritize applied intelligence technologies based on their value-creation potential.

Collect data from multiple sources and break silos to unlock the value of integrated data.

Adopt advanced algorithms, AI, machine learning, Internet of Things, and block chain.

Embed applied intelligence in the entire process of consumer interactions.

Ensure intelligent systems’ stability, security and traceability.

Ensure protection of consumer privacy and data security

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References

1 Jiangxiaobai unveils its taste strategy, and joins hands with Tencent to form a strong alliance, a move that moves the liquor brewers Sina Finance, April 2019 http://finance.sina.com.cn/stock/relnews/hk/2019-04-11/doc-ihvhiewr4992168.shtml

3 Uncovering L’Oréal, a company doubling its sales on Tmall by leveraging its consumer data asset, Global E-businessmen, April 2019 http://i.wshang.com/Post/Default/Index/pid/259342.html

4 Le Teint Particulier, 3D printed facial mask, AR fitting mirror and other black technologies, all are fashionable and high-tech products for cosmetics marketing www.sohu.com, June 2019 https://www.sohu.com/a/321915007_323429

5 Le Teint Particulier, 3D printed facial mask, AR fitting mirror and other black technologies, all are fashionable and high-tech products for cosmetics marketing www.sohu.com, June 2019 https://www.sohu.com/a/321915007_323429

7 Le Teint Particulier, 3D printed facial mask, AR fitting mirror and other black technologies, all are fashionable and high-tech products for cosmetics marketing www.sohu.com, June 2019 https://www.sohu.com/a/321915007_323429

6 Intelligent X’s robot can brew perfect beer, tech.qq.com, July 2016 https://tech.qq.com/a/20160709/028395.htm

8 L’Oréal releases AI cosmetics, a black technology in the beauty makeup industry, www.qq.com, https://xw.qq.com/cmsid/20200730A0T60100

9 Following the voice reversal bottle, iFlyTech and Coca Cola pair up to make an AI spokesman, www.sohu.com, August 2019 https://www.sohu.com/a/335685903_642152

10 Virtual idols are grabbing jobs away from live people, China Business Network, May 2020 https://baijiahao.baidu.com/s?id=1666992404755522737&wfr=spider&for=pc

2 Unilever uses eye-tracking technology to improve product packaging design https://www.tobiipro.com/applications/marketing-user-research/case-studies/unilever/

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References

11 They find an AI ambassador to attract consumers born in the 1990s and 2000s, www.sohu.com, July 2019 https://www.sohu.com/a/330126390_161795

14 Colgate launches intelligent toothbrush to detect the accumulated biofilm, www.sohu.com, January 2020 https://www.sohu.com/a/365377569_120221329

16 Meitu’s meituspa AI-powered skin cleansing device, leading the fashion in smart and safe skin beauty, www.sohu.com, April 2019 https://www.sohu.com/a/308291093_115088

17 Amazfit smart running shoes on display on Xiaomi Crowdfunding, www.sohu.com, April 2018 https://www.sohu.com/a/228044119_114760

18 Codoon smart platform accelerates its new strategy by releasing two more smart products in half a month, Sina Tech, September 2017 https://www.sohu.com/a/192694214_121110

19 Bloomer Tech develops smart bras to monitor the heart health of women, www.siuf.cn, November 2016 http://www.siuf.cn/content-6126.html

15 P&G releases the Airia scenting device, which can be controlled through APP and voice command, Sina Tech, January 2019 https://tech.sina.com.cn/e/x/2019-01-10/doc-ihqhqcis4732301.shtml

12 Recently, Pepsi launches over 200 Instagram AR filters for promotion, www.sohu.com, May 2019 https://www.sohu.com/a/316708391_120098543

13 Burberry ties with Google to stimulate consumers’ shopping appetite through AR technology, Sina Finance, February 2020 http://finance.sina.com.cn/stock/relnews/us/2020-02-29/doc-iimxxstf5255910.shtml

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Executive sponsorsHolly Yuan

Research team

Acknowledgements:

Managing Director – Accenture Strategy & Consulting, Applied Intelligence Lead and Innovation Business Lead, Greater China

Managing Director, SAP Group Lead, Accenture Greater China

Manager, Accenture Greater China

Specialist, Accenture Greater China

Associate Manager,Accenture Greater China

[email protected]

[email protected]

Jo Cao, Chan Tzeh Chyi, Jiejing Wang, Bessie Wo

[email protected] [email protected]

[email protected]

Salvatore Lo Presti

Sheryl Yu Elizabeth Liu Shan He

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About Accenture

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries — powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. With 506,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises.

The company has been operating in Greater China for over 30 years. Today, it has more than 17,000 people servicing clients across the region with offices in the cities including Beijing, Shanghai, Dalian, Chengdu, Guangzhou, Shenzhen, Hong Kong and Taipei. As a trusted Partner of Choice for digital transformation, Accenture is bringing more innovation to the business and technology ecosystems and helping Chinese enterprises and the government to embrace digitization and enhance global competitiveness to succeed in the new era.

For more information about Accenture, please visit its corporate homepage www.accenture.com and its Greater China homepage www.accenture.cn.

About Accenture ResearchAccenture Research shapes trends and creates data driven insights about the most pressing issues global organizations face. Combining the power of innovative research techniques with a deep understanding of our clients’ industries, our team of 300 researchers and analysts spans 20 countries and publishes hundreds of reports, articles and points of view every year. Our thought-provoking research—supported by proprietary data and partnerships with leading organizations, such as MIT and Harvard—guides our innovations and allows us to transform theories and fresh ideas into real-world solutions for our clients. For more information, visit www.accenture.com/research.

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