Use of Data Science in Automobile Industry

1. DATA SCIENCE
IN
AUTOMOBILE
INDUSTRY
Gopikrishnan V Kaimal
2237008

2. DATA SCIENCE
• Data science is the process of drawing valuable conclusions from
huge data sets.
• Combining statistics, algorithms, and other scientific techniques a
ccomplishes this.
• This area has experienced tremendous growth in recent years, an
d numerous industries around the world have been successful
in utilizing the untapped potential of data science.

3. KEY AREAS
WHERE DATA
SCIENCE IS
USED IN THE
INDUSTRY
1. Product development
2. Supply chain
3. Manufacturing
4. Sales and marketing
5. Finance

4. Data science in product development
• Automakersuse data science
to analyzecar model
configurations,component
reliability,and conducttesting
in small scales before
implementingat the
manufacturinglevel.
• In addition, theyuse data
scienceto helprun simulations
of how thedifferent
componentsfunctionin thecar
designand analyze their
performance todetermine
whetherthe designis feasible.

5. Data science in manufacturing
• Data scientistshelpengineers
analyzedata fromoperations,
finances,and suppliersto
ensure thateach stepmoves
smoothlyand on time.
• For example,a teamof data
scientists mightfocus on the
performance ofcar part
suppliersto ensurethat they
are located in an economically
feasiblearea, are always able
to deliver componentson time,
and chargefair prices
according to industry
standards.

6. Data science in sustainability
• Automakersuse data science
to optimizefueland emissions
efficiency accordingto
government targetswhile
maintainingtheirsales and
profit targets.
• For example,a car brand can
usedata scientiststo minimize
thefuelconsumptionof their
vansand pickuptrucksand
determine theoptimized
numberof electriccars in the
productline.

7. Data science in sales and marketing
• Automakers use data
science to gather customer
information and forecast
customer behaviors.
• It improves the customer
journey by predicting the
future direction of customer
expectations, improving
product quality, and
personalizing the purchasing
experience.

8. AI in Automobile Industry
• Thenext generationof electricandlow-
emissionautomobiles is being created
withthe aidof AI, accordingto engineers.
• Automotiveexperts can createmodels
thatexactly replicateevery partof the
vehicle designandtest the vehicle in
realistic,dynamiccircumstanceslong
before it is producedthanksto artificial
intelligence for automobiles.
• Manufacturerslike BMWuse AI-powered
robots to build custom carsand
autonomously transportmaterialswhile
avoidingmoving objectsandpeople.
• AI is being widely usedfor qualitycontrol
measures.

9. CONCLUSION
• In response to changes in
government policies,the
economic landscape,and
consumer preferences,key
playersin the auto industry are
shifting all aspectsof how they
operate. To remain competitive in
the industry, automakers are
leveragingdata sciencein three
key areas:
1. Product offerings
2. Operations
3. Customer engagement

10. THANK
YOU