Transforming Role Of Artificial Intelligence In E-Commerce

Abstract

Aim and Background: Internet shopping is changing by utilizing artificial intelligence to anticipate the things that clients will buy and when they will get them, thereby anticipating their shopping patterns. For instance, if an online retailer finds that its customers frequently buy a certain brand of rice every week, it might send these customers a personalized offer, or use an AI-empowered proposal for a significant thing that would serve as a great accompaniment to rice dishes. The purpose of this study is to explore the benefits and legal impacts of Artificial Intelligence in E-commerce as well as factors that contribute to the transformation of the industry.

Methodology: A combination of primary and secondary data was used in the study. The research design was descriptive in nature. Using a questionnaire, a convenience sampling (non-probability) of 100 entrepreneurs in Bangalore was used to collect the necessary data. The findings were calculated using statistical methods. To identify the significant factors that impact the transforming role of Artificial Intelligence in e-commerce, a t-test was used.

Results and Discussion: A t value > 0 and a sigma < .05 rule was used to detect significant factors. Therefore, out of six factors, three factors such as media attention competitive pressure and digital  maturity were found to be significant. Three factors could not be identified as significant, such as time saving, marketing strategy and decision making.