1. Research Title:

   1. A Comprehensive Review of the Artificial Intelligence (AI) shift in E-commerce

2. PDF URL:

   svu-naac.somaiya.edu

3. Citation:

   1. Saleem, S. A. M., & Naseem, S. M. B. (2023, December). A Comprehensive Review of the Artificial Intelligence (AI) shift in E-commerce. In 2023 6th International Conference on Advances in Science and Technology (ICAST) (pp. 51-56). IEEE.

Introduction

The research paper titled "A Comprehensive Review of the Artificial Intelligence (AI) Shift in E-commerce" by Shah Asif Mohd Saleem and Shaikh Mohammad Bilal Naseem provides an in-depth analysis of how AI is transforming the e-commerce industry. The paper explores the integration of AI technologies such as machine learning, natural language processing, and data analytics to enhance customer experiences, streamline operations, and address challenges like fraud and fake reviews. The study also highlights the potential drawbacks of AI, including job displacement and privacy concerns. This report summarizes the key findings, analyzes the data presented, and discusses the advantages and disadvantages of the research.

Key Findings and Analysis

1. AI in Personalized Shopping

   The paper emphasizes the role of AI in creating personalized shopping experiences. AI-powered recommendation systems analyze customer data such as browsing history, purchase patterns, and social media activity to suggest relevant products. According to the survey conducted in the research, 43% of people born between 1946 and 1964 feel uncomfortable with personalized recommendations, while 34% of those born between 1965 and 1980 share similar concerns (Page 3, Fig. 1). This indicates a generational divide in the acceptance of AI-driven personalization.

   

2. AI-Powered Assistants

   AI-powered virtual assistants, such as chatbots, have significantly improved customer engagement and sales conversion rates. The research cites a 21% increase in e-commerce sales conversion and brand engagement due to personalized AI experiences (Page 3, Fig. 2). These assistants provide real-time support, reducing the workload on human customer service representatives.

   

3. Fraud Detection and Fake Reviews

   The paper highlights the use of AI in combating fraud and fake reviews, which are major challenges in e-commerce. According to the data, 40% of people in India have faced phishing attacks, and 72% believe that fake reviews have become a norm in the industry (Page 3, Fig. 3 and Fig. 4). AI algorithms can detect fraudulent activities and filter out fake reviews, enhancing trust in online platforms.