Analyzing the impact of Artificial Intelligence in Online business Intelligence

Authors

  • Tanmayee Tushar Parbat  B.E IT, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
  • Rohan Benhal  BBA IT, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
  • Honey Jain  B.E IT, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
  • Dr. Vinayak Musale  Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India

Keywords:

Recommendation System, Bigdata, Collaborative Filtering, Machine Learning, Deep Learning, CRM, Emotional Intelligence, Influence Maintenance, Blockchain, Deep Recommender System

Abstract

The replacement of traditional shopping fashion by the varied modes of online shopping in real-time. Due to traditional shopping, most of them are becoming into real feel about the merchandise whichever they buy. The merchandise features are going to be manually realized by the consumers whereas in online shopping all the consumers believe the descriptive summary of the products and therefore the various factors supported the sold historical data. Now a day’s modern shopping method is moving gradually towards hitting a greater number of consumers. Here recommendation system playing an important role in suggesting the merchandise by considering the sooner records and increasing the demand. Many of the consumers are attracted by factors like deals on an item, rating, review, and price of the merchandise. Through these factors, most of the consumers are interested in taking online shopping rather than traditional shopping methods. For suggesting the products to consumers, many sorts of recommendation algorithms are applied using machine learning and deep learning technology to coach the system automatically by observing the customer behavior patterns. But the believing factors of the merchandise are going to be forged some time; in such cases, consumers aren't satisfied with their expectations. the general survey of this paper will address the research gap and opportunities with the advice system.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-12-30

Issue

Volume 7, Issue 6, November-December-2021

Section

Research Articles

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How to Cite

[1]
Tanmayee Tushar Parbat, Rohan Benhal, Honey Jain, Dr. Vinayak Musale, " Analyzing the impact of Artificial Intelligence in Online business Intelligence" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 6, pp.269-275, November-December-2021.