A Study into the Use of Artificial Intelligence in E-Commerce Stock Management and Product Suggestion Generation for End Users

A Study into the Use of Artificial Intelligence in E-Commerce Stock Management and Product Suggestion Generation for End Users

Authors

  • Binumon Joseph ktu
  • Jobin Mathew

Keywords:

Artificial intelligence, E-commerce, Product

Abstract

Electronic commerce (E-commerce) has
revolutionized the way people shop and interact with online
customer service. Despite the fact that organizations are
working to improve their customer service performance,
traditional customer service issues such as limited availability,
inefficiency, and cost continue to exist. Artificial intelligence, or
AI, as these letters are known, is now found everywhere,
including in e-commerce. Artificial intelligence (AI) is
increasingly being used in service today to act as a human
assistant to overcome the limitations of traditional customer
service. AI and service providers can collaborate to provide
perfect customer service while also increasing productivity.
Choosing the right product will assist the user in getting what
they want. This increases the user's satisfaction with the
website.
To achieve a pleasant outcome, a website such as building a
personal computer needs to add to the website. Suggestions for
high-quality products for your computer aid in the
optimization of the computer's speed and performance. At the
same time, technological advancements have given rise to a
variety of platforms that can be used to keep up with trends
and meet market demands. As a result, the focus of this
research is on the applications of artificial intelligence in the ecommerce industry. The AI assists the user in getting what
they want and keeping up with the latest trends.

 

Author Biographies

Binumon Joseph, ktu

 

 

Jobin Mathew

 

 

Published

2022-12-20

How to Cite

Binumon Joseph, & Jobin Mathew. (2022). A Study into the Use of Artificial Intelligence in E-Commerce Stock Management and Product Suggestion Generation for End Users. National Conference on Emerging Computer Applications, 3(1). Retrieved from https://ajcejournal.in/nceca/article/view/116
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