Data Science in E-Commerce

Authors

  • Snekha S
  • Sabari M
  • Shridharshan K R
  • Subha Indhu S

Keywords:

Data science, big data, web, social media, styles, algorithms.

Abstract

Data science and advanced computing ways catalyzed the company's growth and handed a place for e-commerce to reach and engage customers. Data science in e-commerce enables companies to offer a further comprehensive knowledge of customers by furnishing records of customers' internet geste and social media conditioning, the events that have passed in their lives and that led to the purchase of a business, integration product or service and how customers interact with unique channels. Data Science is a multidisciplinary discipline that uses clinical strategies, processes, algorithms and systems to prize knowledge and perceptivity from dependent and unshaped statistics. Data science algorithms examine the colorful attributes and correlations between the products. The current exploration was conducted to describe the situation of e-commerce and to dissect the developments in e-commerce. The big data revolution has brought technological advancements in data storage, pall computing, and data science that allow businesses to discover similar patterns. The study also examines the pivotal variables critical to the fulfilment of e-trade business models.

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Published

2023-05-28

How to Cite

Snekha S, Sabari M, Shridharshan K R, & Subha Indhu S. (2023). Data Science in E-Commerce. International Journal of Progressive Research in Science and Engineering, 4(5), 256–262. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/873

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Section

Articles