Artificial Intelligence and Machine Learning in eCommerce

Author:

Johnpaul M.1ORCID,Miryala Raam Sai Bharadwaj2ORCID,Mazurek Marica3ORCID,Jayaprakashnarayana G.4ORCID,Miryala Ramesh Kumar5ORCID

Affiliation:

1. Central University of Kerala, India

2. Sri Venkateswara Engineering College, India

3. University of Zilina, Slovakia

4. Indira Gandhi National Tribal University, India

5. Mahatma Gandhi University, Nalgonda, India

Abstract

This chapter examines the transformative implications of artificial intelligence (AI) and machine learning (ML) on eCommerce security and operations. AI and ML technologies are transforming the eCommerce sector by streamlining supply chains, enhancing inventory management, and providing better customer experiences through personalized recommendations. Using real-time data and predictive algorithms, businesses can efficiently manage stock levels and forecast demand. In terms of security, machine learning (ML) and artificial intelligence (AI) provide effective means of detecting and mitigating fraud, protecting personal data, and ensuring secure transactions. This chapter delves into the numerous applications and benefits of artificial intelligence (AI) and machine learning (ML) in eCommerce, highlighting their critical roles in increasing efficiency, improving consumer satisfaction, and protecting operations in a fast-paced online market.

Publisher

IGI Global

Reference99 articles.

1. Abbes, I., Kolski, C., & Zayani, C. A. (2019). Personalized Recommendation Systems in E-commerce: The Role of AI and Machine Learning. In Advances in Intelligent Systems and Computing (Vol. 925, pp. 219-229). Springer.

2. Artificial Intelligence Emergence in Disruptive Technology

3. Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms

4. Predictive Analytics in E-commerce: A Review of Techniques and Applications.;M. N.Albanna;IEEE Access : Practical Innovations, Open Solutions,2020

5. AliA. (2024). Revolutionizing Customer Support: the Impact of AI-Powered Chatbots and Virtual Assistants (No. 12037). EasyChair.

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