Leveraging Data Science in the Automotive Industry

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Leveraging Data Science to power e- commerce.

Transcript of Leveraging Data Science in the Automotive Industry

Page 1: Leveraging Data Science in the Automotive Industry

Leveraging Data Science to power e-commerce.

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● About Cars.com & it’s business

Agenda

● Data Science at Cars.com Inc○ Data Science Challenges○ Identifying duplicate vehicles○ Building a core DS team

● Questions

● DS is more than ML, much more!○ An overall perspective○ Working example

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About cars.com

A platform/decision engine that helps you sell/buy a car? NO.

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About cars.com

We are more than that, we manage the entire lifecycle of your car.

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About cars.com

How do we make money?

Subscriptions

ModelAdvertisements

0 Margins in vehicle sales.

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About cars.com

Value proposition to users?A few products.

Place your screenshot here

- Relevant Search Results

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About cars.com

Value proposition to users?

- Relevant Search Results

- Pricing Tool & Car valuationPlace your screenshot here

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About cars.com

Value proposition to users?

- Relevant Search Results

- Pricing ToolPlace your screenshot here

- Car & Dealers’ reviews and ratings

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About cars.com

Place your screenshot herePlace your screenshot here

- All of these features are wrappers over predictive models; aka data products.

- Lean agile methodology across the company.

- They have underlying data pipelines, model building and AB testing platforms; aka technical products.

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Data Science Challenges @Carsdotcom

Start off with a user’s first foot print

Diverse & Relevant CarsIntuitive & Great Product Exp

Understand user while they

research & browse

Enrich experience with data

products

Help them manage

vehicles they own

Help them sell cars. Enrich

experience with data products

Acquire Users via Marketing

Help them manage

their inventoryCo

nsu

me

r / B

uye

r

Ind

ivid

ua

l S

elle

r / D

ea

ler

Facebook bidding

SEO/SEM

Improve SIte Relevance

Relevant Site Ads

No duplicate cars

Data widgets and tools,

Compare your car with

existing cars (Dealers)

Pricing badging,

predicting time to sell,

Similar Cars

Vehicle Valuation, Car

Service Predictions

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Data Science Challenges

Unstructured data; a lot of it

Decode car context using word embeddings

We learn vectors for each feature or attribute of the

vehicle segments and later aggregate those

vectors to form a vehicle vector

Resulting similar vehicles are agnostic of user (not

dealer) context and behaviour

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Most people when they talk about Machine Learning at an e-commerce company

Predictive Model

This is how I saw Data Science in 2011

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In 2013

Predictive ModelData Ingestion

Data Analysis

Modeling Strategy

Data

Transformation

Data Validation

Model

Validation/Evaluation

Models as a service

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Fetch DataWrite

analysis

scriptsAnalyse

Results

Verify

Assumptions

Debug

Codes

Try new

approaches.Clean it

Verify it

Plot it.

Reflection

OOT Analysis

Effect on KPIs

Local & Global

Sampling

MDI

Modeling

Strategizing

Outliers

Removal

Data AnalysisAcquire Right

Data

Ideation Finalise Target

Variable

DashboardsReports

Insights &Deep Analytics

A/B TestingImpact Evaluation

Modeling & Data Products

Data Science

Process

Business Process

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The whole picture - DS at Cars.com Inc. 2017

Predictive Model

Integrated Job Management, Monitoring, Data/Model Evaluation/Visualization

Logging & Model Tuner

Data Ingestion

Data Analysis

Modeling Strategy

Data

Transformation

Data Validation

Model

Validation/Evaluation

Models as a

service

Real time Data

Batch Processing

Model Config

Model

Database/Back end

User facing

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Inspiration- Proving media is biased towards certain political organizations and their ideologies

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As a DS, sooner or later you’d want to gather more skills than just ML/AI

Product and Vision- Empower users with custom data science models to analyze the way media covers current affairs- Provide insight into crowd-sourced reviews of media organizations & political figures- Goto tool for data journalists, political strategists and enthusiasts

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Prototype in about 300 hours

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Questions?

Reach out to me at [email protected]; @addhyan_pandey; [email protected]

Growing Cars’s Data Science team. Hiring at various levels.

So, if you’re into cars & data science then cars.com is the place for you.