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Artificial Intelligence and Machine Learning in eCommerce
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Author(s): M. Johnpaul (Central University of Kerala, India), Raam Sai Bharadwaj Miryala (Sri Venkateswara Engineering College, India), Marica Mazurek (University of Zilina, Slovakia), G. Jayaprakashnarayana (Indira Gandhi National Tribal University, India)and Ramesh Kumar Miryala (Mahatma Gandhi University, Nalgonda, India)
Copyright: 2025
Pages: 28
Source title:
Strategic Innovations of AI and ML for E-Commerce Data Security
Source Author(s)/Editor(s): Gaganpreet Kaur (Chitkara University, India), Jatin Arora (Chitkara University, India), Vishal Jain (Sharda University, Greater Noida, India)and Asadullah Shaikh (Najran University, Saudi Arabia)
DOI: 10.4018/979-8-3693-5718-7.ch002
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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.
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