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Table of Contents

Chapter 1: Introduction
1.1 Background of the Study
1.2 Problem Statement
1.3 Objectives of the Study
1.4 Research Questions
1.5 Significance of the Study
1.6 Limitations of the Study
1.7 Scope of the Study

Chapter 2: Literature Review
2.1 Introduction to E-commerce Personalization
2.2 Importance of Personalization in E-commerce
2.3 AI and Machine Learning in E-commerce Personalization
2.4 Previous Studies on E-commerce Personalization Using AI
2.5 Gaps in Literature

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sample Selection
3.5 Research Instrument

Chapter 4: Discussion of Findings
4.1 Overview of Data Analysis
4.2 Findings and Interpretation
4.3 Comparison with Previous Studies
4.4 Implications for E-commerce Industry
4.5 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusions
5.3 Contributions to Knowledge
5.4 Practical Implications
5.5 Suggestions for Implementation

Brief Overview on E-commerce Personalization Using AI

E-commerce Personalization is the practice of customizing the online shopping experience for individual users based on their preferences, behavior, and demographics. With the advancements in Artificial Intelligence (AI) and Machine Learning, businesses are now able to provide personalized recommendations, product suggestions, and targeted marketing campaigns to increase customer engagement and ultimately boost sales.

Using AI algorithms, e-commerce platforms can analyze large volumes of data to understand customer behavior, predict their preferences, and tailor the shopping experience to meet their needs. This personalized approach not only improves customer satisfaction but also helps businesses to increase conversions and revenue.

This final year project will explore the role of AI in E-commerce Personalization, review the existing literature, propose a research methodology, analyze the findings, and draw conclusions on the effectiveness of AI-driven personalization strategies in the e-commerce industry. The study aims to contribute to the growing body of knowledge on how businesses can leverage AI technology to enhance the online shopping experience and drive growth in the digital marketplace.

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