Artificial Intelligence, Natural Language Processing, and Machine Learning to Enhance e-Service Quality on e-Commerce Platforms

Abstract

The swift progression of artificial intelligence (AI) technologies has significantly
impacted various industries, with e-commerce platforms standing out as key
beneficiaries. This paper delves into how AI enhances e-service quality on these
platforms, emphasizing contemporary applications and emerging trends. AIdriven
tools such as chatbots, personalized recommendation systems, and
predictive analytics have enabled e-commerce platforms to deliver more tailored,
efficient, and satisfactory customer experiences. AI chatbots, utilizing natural
language processing (NLP) and machine learning (ML), offer instant, roundthe-
clock customer support, effectively resolving queries with minimal human
intervention. Personalized recommendation systems employ sophisticated
algorithms to analyse user behaviour and preferences, resulting in highly
engaging product suggestions that drive customer engagement and increase
sales. Furthermore, predictive analytics allow e-commerce platforms to forecast
market trends, optimize inventory management, and tailor marketing
strategies, thereby improving operational efficiency and customer satisfaction.
This paper also examines the challenges of AI implementation, such as data
privacy issues, the need for significant initial investments, and the necessity for
ongoing technological updates. Through a thorough analysis of current AI
applications and a review of recent scholarly works, this paper aims to
underscore the transformative effects of AI on e-commerce service quality and
provide insights into future advancements in this evolving field.