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Introduction

The advent of Artificial Intelligence (AI) has revolutionized various industries, including retail. In recent years, there has been a growing trend towards autonomous retail stores where AI-powered technologies are used to automate various tasks and enhance the shopping experience for customers. One such technology that is gaining popularity in autonomous retail stores is Edge AI, which utilizes edge computing to process data locally on devices rather than relying on cloud servers.

This thesis aims to explore the application of Edge AI in autonomous retail stores and its impact on the retail industry. The following chapters will delve into the background of the study, problem statement, objectives, limitations, scope, significance, and the structure of the thesis. Additionally, key terms related to Edge AI and autonomous retail stores will be defined in chapter one.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Overview of AI in the retail industry
2.2 Autonomous retail stores
2.3 Edge computing and edge AI
2.4 Benefits of Edge AI in retail
2.5 Challenges of implementing Edge AI in retail
2.6 Case studies of Edge AI implementation in autonomous retail stores
2.7 Consumer perception of AI in retail
2.8 Regulations and ethics in AI-powered retail
2.9 Future trends in Edge AI for autonomous retail stores
2.10 Summary of literature review

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Data analysis techniques
3.4 Sampling strategy
3.5 Ethical considerations
3.6 Pilot study
3.7 Data validation
3.8 Limitations of research methodology

Chapter 4: Discussion of Findings
4.1 Overview of data collected
4.2 Analysis of the impact of Edge AI in autonomous retail stores
4.3 Comparison of Edge AI vs. cloud-based solutions in retail
4.4 Implementation challenges and solutions
4.5 Consumer feedback on Edge AI technologies
4.6 Future implications for the retail industry
4.7 Recommendations for retailers
4.8 Areas for further research

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Conclusion
5.3 Contributions to the field of retail and AI
5.4 Implications for future research
5.5 Closing remarks

Thesis Overview on Edge AI for Autonomous Retail Stores

The integration of Edge AI in autonomous retail stores has the potential to revolutionize the way consumers shop and retailers operate. This thesis explores the application of Edge AI in the retail industry, focusing on its benefits, challenges, and impact on the overall shopping experience.

Chapter one provides an introduction to the topic, outlining the background of the study, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Key terms related to Edge AI and autonomous retail stores are also defined to provide a solid foundation for the subsequent chapters.

Chapter two presents a comprehensive literature review on AI in the retail industry, autonomous retail stores, edge computing, and the benefits and challenges of implementing Edge AI in retail. Case studies and consumer perception of AI in retail are also discussed, along with future trends in Edge AI for autonomous retail stores.

In chapter three, the research methodology is detailed, including the research design, data collection methods, analysis techniques, sampling strategy, ethical considerations, and data validation. The limitations of the research methodology are acknowledged to ensure the credibility of the findings.

Chapter four delves into the discussion of findings, analyzing the impact of Edge AI in autonomous retail stores, comparing Edge AI with cloud-based solutions, addressing implementation challenges, and presenting consumer feedback on Edge AI technologies. Recommendations are provided for retailers, and areas for further research are identified.

Finally, chapter five offers a conclusion and summary of the thesis, summarizing key findings, drawing conclusions, highlighting contributions to the field, outlining implications for future research, and providing closing remarks. The thesis aims to deepen the understanding of Edge AI in retail and serve as a valuable resource for researchers, practitioners, and stakeholders in the retail industry.

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