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DataHour: Data Science in Retail

Online 05-09-2022 08:30 PM to 05-09-2022 09:30 PM
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  • Knowledge and Learning

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DataHour Recording

About the DataHour:

Retail refers to the selling of goods and services to customers for individual consumption. The key to retail is that after purchasing from a retailer, a customer consumes the good or service and does not resell it.

The three most common ways to sell goods in retail is through:

  • Modern trade:                      Eg – DMart, Big Bazaar
  • Traditional retail stores:     Small family-owned retail shops
  • E-commerce:                       Eg – Amazon, Flipkart 

There are different ways in which the retail sector is making the best use of data. With the help of data science, we can create a decision augmentation tool to help sales representatives to create order books for traditional retail stores. On the other hand, data science can also help modern trade stores to plan their promotions. Therefore, there are a plethora of use-cases where data science can help us to implement data driven decisions to optimize for the revenue in the retail sector.

In this DataHour, Chaitanya will first explain some common retail terminologies that you would have already heard about during your last visit to Big Bazaar and then proceed ahead to discuss some of the applications of data science in retail.

Prerequisites:  Enthusiasm to learn about applications of data science in the retail sector.


Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth

 

Speaker:

Chaitanya Agrawal

Data Scientist at Shell

Chaitanya is passionate about solving complex real world problem statements using data science. He did his Bachelors and Masters from IIT Madras and is currently working as Data Scientist at Shell India Markets Private Ltd. He has 6 years of work experience, primarily in the retail domain.

You can follow him on
Linkedin.

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