2019 DISRUPTERS, DECISION MAKERS AND DRIVERS OF US AUTOMOTIVE INDUSTRY IN - SG Analytics Perspective | December 2019

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2019 DISRUPTERS, DECISION MAKERS AND DRIVERS OF US AUTOMOTIVE INDUSTRY IN - SG Analytics Perspective | December 2019
DISRUPTERS, DECISION
MAKERS AND DRIVERS OF
US AUTOMOTIVE
INDUSTRY IN
2019

 SG Analytics Perspective | December 2019
2019 DISRUPTERS, DECISION MAKERS AND DRIVERS OF US AUTOMOTIVE INDUSTRY IN - SG Analytics Perspective | December 2019
US AUTOMOTIVE INDUSTRY

Leading the race US based automotive         counterparts, it’s a long road ahead and
manufacturers are focusing on achieving      may become a practical choice only after
Level 5 automation in next one or two        2025. So what are the OEMs planning
years. Currently most of the top players     in 2019-2020? Should they focus more
have attained Level 2 (partial automation)   on AI, Data analytics and connectivity or
and Level 3 (conditional automation).        should they invest more on technology
Electric vehicles are the future, however    up gradation and move towards electric
affordability and manufacturing cost are     vehicles?
issues in 2019. The good news is that        Some of the early thought leaders have
lithium-ion battery prices have come down    already started the process in 2019
73-percent per kilowatt-hour from 2010       and investing in adoption of newer
to 2018. Though this trend is expected       technologies and here are some glimpses
to continue till EVs become cheaper          of their effort.
to buy than their fossil-fuel-powered

www.sganalytics.com                                                                      2
2019 DISRUPTERS, DECISION MAKERS AND DRIVERS OF US AUTOMOTIVE INDUSTRY IN - SG Analytics Perspective | December 2019
US AUTOMOTIVE INDUSTRY

1) Daimler, USA
To stay ahead of peers, a company has
to adopt technology at the right time
and welcome disruption. Diamler is one
of the early adopters of technology
and AI and understands the power
of data analytics in today’s context.
Looking back in Europe, the company
had initiated its data modelling process
in Berlin with a heat map to predict in
which area the highest potential A-Class
driver would buy a car. The company
had 100,000 customer records in its
database and using AI it actually zeroed
down the list to 5,000 potential buyers
of an A-Class Mercedes.

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2019 DISRUPTERS, DECISION MAKERS AND DRIVERS OF US AUTOMOTIVE INDUSTRY IN - SG Analytics Perspective | December 2019
US AUTOMOTIVE INDUSTRY

                       Daimler used a combination of AI and                                    internal data and surveys and that was one
                       analytics to test out their algorithms and                              of the reasons why they invested heavily
                       visualizations and validated their in-house                             and moved to more advanced analytics
                       predictions combined with deep mining in                                system in 2019. The company adopted
                       their datasets. The findings of this process                            Microsoft Azure (Azure HDInsights and
                       helped Daimler to build a counter strategy                              Data Bricks) and “eXtollo” for extensive
                       plan for customers who already owned an                                 analysis in February 2019. Azure Data
                       S-Class owner but had high propensity to                                Lake Store and Azure Data Factory were
                       purchase an A-Class Mercedes. The result                                additionally employed to understand the
                       was increase in sales.                                                  supply chain, store data and other gaps in
                       The company wanted to safeguard it’s                                    their system.

                        Supporting Services

                       Identity & Access Mgmt                                   Encryption & Key Management

                                    Azure AD federated with on premise                  Bring-your-own-key for Data at Rest

                       Auditing & Monitoring                                    Network Layer Security

                                    Log Analytics                                       VPN Gateway

                                    Security Center                                     Vnet Integration

                                    Application Insights                                Network Security Groups

                       Automation/Orchestration                                 DevOps

                                    Azure Automation                                    Visual Studio Team Services

                       Core Services
                                    Data Science Virtual Machine                Data Retrieval Components
                       Visualization Components                                         API Gateway
Meta Data Components

                                    Tableau@SecureVM
                                                                                        App Gateway
                       Analytics Components
                                                           Azure Data                   Web Apps
                                    HDInsight
                                                           Bricks
                       Data Engineering Components                              Batch Ingestion Components
                             Azure                         Azure data                   Azure Data
                                                                                                             Push-to-Cloud
                             Functions                     Factory                      Factory
                       Storage Components

                                    Azure Data Lake Store               SQL Data Base                SQL Data Warehouse

                       Source: Diamler USA (2019)

                       www.sganalytics.com                                                                                              4
2019 DISRUPTERS, DECISION MAKERS AND DRIVERS OF US AUTOMOTIVE INDUSTRY IN - SG Analytics Perspective | December 2019
US AUTOMOTIVE INDUSTRY

The company is expected to use eXtollo        process and understand the key factors
platform to develop blueprint rather than     that could influence product quality within
focus on a monolithic product. Of late, the   each individual process step.
company has been able to interpret user       While on one side AI and data analytics are
perception to offer better and personalized   now part of the company’s eco-system, the
services for loyal customers.                 company is also consciously moving away
The switch from conventional to AI            from conventional production to electric
platform was initiated in February 2019.      vehicles (especially trucks). Based on recent
Earlier, the company was using IBM®           announcements by the CEO, in ACT Expo
SPSS® software, to analyze the large          California in May 2019, the company is
volume of data obtained in the production     investing heavily on electric vehicles.

                                             “
  The road to emissions-free transportation is going to be driven with battery-
          electric vehicles. I believe the future is electric, says Neilson.

While moving towards electric vehicle is
gaining momentum, the company just
upgraded itself for future complexities of
                                             ”Vans, Daimler Buses and Daimler Financial
                                              Services.

data.

a)	The Azure platform will enable the
    company to migrate data to the
    cloud while maintaining enterprise-
    grade security.
b)  Improve cloud based security
c)	Company intends to apply the
    power of Azure to convert massive
    amounts of data into insights that
    will fuel innovation.

The Daimler Group is one of the market
leaders of premium cars and the world’s
biggest global manufacturer of commercial
vehicles, with divisions such as Mercedes-
Benz Cars, Daimler Trucks, Mercedes-Benz

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2019 DISRUPTERS, DECISION MAKERS AND DRIVERS OF US AUTOMOTIVE INDUSTRY IN - SG Analytics Perspective | December 2019
US AUTOMOTIVE INDUSTRY

 2) Fiat Chrysler Automobiles NV
 Some companies learn from their past
 and improvise immediately. Fiat has
 a similar case in 2018-2019. In 2018,
 Fiat sold more than 15,000 cars in the
 U.S., down from a high in 2014 of over
 46,000. In September 2019, Fiat Chrysler
 Automobiles NV announced that it
 would stop the production of its Fiat 500
 and electric 500e hatchbacks in North
 America.
 As part of the new strategic plan to
 counter the slow-down in the US market,
 the company has decided to continue
 with it’s 500CX crossover, 500L wagon
 and 124 Spider roadster series and focus
 more on segments such as Jeep SUVs
 and Ram Trucks.

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US AUTOMOTIVE INDUSTRY

Source: Automotive News Data Center
Note: Fiat Chrysler revised U.S. sales reporting methodology in july 2016 and restated past results.

Fiat reported that it’s sales were down                           brand is not part of the agreement. So is it
38% in the first half of 2019 in USA, with                        too late and too little?
deliveries of the 500 dropping 25% to                             Yes, the 500 series which was one of the
1,692. Sales of the 500 fluctuated by more                        best- selling model in US, was lost due
than half last year to just 5,370.                                to lack of adoption of technology, lack of
Some of the key reasons for the poor                              interest to understand what the customer
performance of Fiat in USA are plunging                           finally wants? Finally due to lack of AI and
interest in passenger cars, a lack of body                        data analytics, the company registered
style variety, a reputation for poor quality                      heavy loss. Now they plan to adopt AI and
and a general lack of consumer awareness                          tech to revive the lost market.
and the company’s lack of attention for                           The company wants to deviate from
consumer insights and data analytics.                             traditional selling model and deviate.
However, since the focus is on larger                             Once the cars are manufactured, they
vehicles and trucks. FCA has finally                              could potentially be used by any third-
focused towards upgrading it’s technology                         party company, (e.g. it can sell its finished
and adopt smart tech. In June 2019, it                            products to Amazon for self-driving
announced it’s tie up with Aurora, which is                       delivery vans)
backed by Amazon and Sequoia Capital,
to integrate its technology into Ram Truck
vehicles, and later into the cargo vans
segments. As of now FCA’s Fiat Professional

www.sganalytics.com                                                                                           7
US AUTOMOTIVE INDUSTRY

 3) Ford Motor Company
 Among the early adopters of data
 analytics and AI, Ford Motor companies
 moved from being a conventional
 manufacturer to a “mobility service”
 company. Ford uses AI to track
 inventory, automate quality assurance
 as well; detect wrinkles in car seats. In
 addition, neural networks help support
 Ford’s supply chain through resource
 management.

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US AUTOMOTIVE INDUSTRY

Car Story the platform implemented by         features, personalization and product
Ford, uses AI technology to understand        improvement consumers desire. Ford plans
the inventory data for used cars. Ford        to connect AI with all it’s mobile services in
car’s dealer’s can learn details about the    China by the end of 2019.
condition of vehicles, owner history and      At Ford, the GDI&A plays an important
see how pricing is in the marketplace         role in the preparation for machine
using this tool. In 2019, Ford introduced     learning usage. By working on data
Edge Model which comes with artificial        analytics projects, the GDI&A team of Ford
intelligence as part of its all-wheel-drive   delivers insights that are readily applicable
system. By using dozens of high-tech          to process improvements or product
sensors, the system can determine faster      development, and simultaneously lays
than a human brain whether an all-            the ground for future machine learning
wheel drive is needed or not. It’s able to    projects by having the data sorted. This
shift between two- and four-wheel drive       saves cost, helps them come closer to
automatically. Machine learning techniques    consumer needs and establish themselves
added to vehicles help provide the new        stronger among peers.

www.sganalytics.com                                                                        9
US AUTOMOTIVE INDUSTRY

 4) General Motors Company
 Market leader in every sense, the
 company has adopted AI and
 technology not only to streamline
 it’s business but also to improvise on
 it’s product design. Advances to 3-D
 printing technology have enhanced the
 company’s prototyping facilities, which
 are said to have constructed more than
 250,000 experimental parts in the last
 decade alone.

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US AUTOMOTIVE INDUSTRY

General Motors has built a predictive            with the company’s IT strategy overhaul.
analytics platform that generates insights       Among its key attributes is self-service
into several core business strategies,           analytics, which allows employees to
including anticipating market demand for         query a Google-like search interface for
autonomous vehicles. Maxis — shorthand           information about specific business needs,
for maximizing insights — represents a           including pricing, incentives and marketing
multi-million-dollar investment in data-         optimization, sales lead management and
crunching technologies that coincides            forecasting, and problem detection.

5) Tesla
Tesla reported third-quarter revenue of          market remains to be seen. Still Tesla does
$6.3 billion. Tesla, the electric car maker      stand out among it’s peers when it comes
specialist has given investors plenty to look    to technology adoption and disruption in
forward in 2020. The company announced           the automotive market.
that it was ahead of schedule on its long-
awaited Model Y crossover, expected to
launch by summer of 2020. At the same
time, Tesla says it is planning to make a
limited run of its Tesla Semi truck next year,
and hopes to soon announce the location
of its European Gigafactory, where it aims
to begin making electric vehicles in 2021.
Tesla though started as a environmental
friendly tech company has moved on
to promote and boost more of it’s own
achievements.
Earlier in Novemeber 2019, the company
claimed to have received 250K order of
cybertrucks as pre-book. There are lot of
promises that continue to make headlines
some of these are entry in India market
in 2020, launch of robotaxi network and
more. Whether the plans get smashed like
cybertruck glass window or shines in the

www.sganalytics.com                                                                       11
US AUTOMOTIVE INDUSTRY

Thought Leaders and Their Role in Bringing
About Transformation in 2019

Tesla
                           Elon Musk does not any introduction. Musk has been
                           instrumental in changing the perception of buyers and
                           investors towards it’s products. For example, while the market
                           is raving about 750 horsepower enabled Turbo S model,
                           limited people have taken a not of Porsche Taycan that is
                               expected to deliver 90 miles per gallon while driving in the
                                    city. His magic drives the buyer even after the failure
                                     of window test on cyber trucks in November 2019.
                                     Inspite of the debacle, Musk tweets “250k,” indicating
                                     the number of pre-orders Tesla has received for the
                                     Cybertruck on November 29,2019.

                                  That’s the magic of thought leaders who drive
                                  technology and transformation in the market. Elon
                                  Musk has promised robo taxis and so many other
                                  technologically advanced products to the world that
it has created hype among the new generation. It remains to be seen if he can deliver on
his promises.

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US AUTOMOTIVE INDUSTRY

Diamler, USA

                         Kristi Langdon - Ms.- Langdon Heads the Customer
                         Experience Division at Daimler Trucks North America and
                         leads the customer centric processes in the company. Few
                         of her recent achievements are leading the Voice of the
                          Customer’ program, design thinking tools and training,
                           customer satisfaction measurement, and employee
                            experience programs.

                           (Outside USA - Walid Mehanna who heads the Data
                            & Analytics was able to demonstrate more sale of
                              products using AI and Data Analytics in Europe)

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US AUTOMOTIVE INDUSTRY

General Motors
                         Les Copeland - Les drives Global Data Strategy,
                         Artificial Intelligence & Analytics Services. In close
                         partnership with GM’s new Corporate Data Council,
                         Chief Data Officer and Chief Strategy Officer, Les and
                         his team are designing and implementing strategies
                         to maximize GM’s use of its enterprise data, IoT,
                         autonomous and connected vehicle data and vast
                         amounts of other external data. Les’ goal is to help GM
                         make its big data and analytics platform one of its most
                         valuable and highly leveraged corporate assets. Earlier
                         in his GM career, Les was responsible for collaborating
                         with GM’s global president and regional presidents
                         in designing and executing GM’s global sales and
                         marketing innovation portfolio.

www.sganalytics.com                                                             14
US AUTOMOTIVE INDUSTRY

The Road Ahead

Electric vehicles sales were only 1.2%           watch for another year.
of vehicles sold in the U.S. in 2018, but        Stay Tuned, as we will come back to you
things have changed in 2019. Automakers          with another perspective of the young
from Ford to Tesla are building a new            buyers in2020 and help you gather the
generation of electric vehicles that is faster   directions of US automotive industry, next
and more powerful than almost anything           year.
else on the road. Since 2010 onwards,
electric vehicles have been the prime
focus of major markets and governments.
However, the progress has been slower
than expected but the good news is
that it is still happening. There is lot of
excitement over new launches planned
for 2020. Audi, Ford Motor, Porsche,
and Volkswagen are among the brands
expected to debut all-electric vehicles
while others such as Lincoln and Karma
Automotive also are expected to tout the
performance of new plug-in hybrid electric
vehicles, giving competition to the tech-
auto leaders in US.
Hope and optimism is growing inspite of a
slow 2019, buyers and market will decide
whether they will switch to electric vehicles
more in 2020? Or they will just wait and

www.sganalytics.com                                                                       15
US AUTOMOTIVE INDUSTRY

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www.sganalytics.com                                                                                      16
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