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Introduction

The world of retail is constantly evolving, driven by advancements in technology and changing consumer behaviors. One of the most recent technological developments that is revolutionizing the retail industry is Edge AI. Edge AI refers to artificial intelligence algorithms that are deployed on the edge devices, such as sensors, cameras, and other IoT devices, rather than relying on cloud-based processing. This allows for real-time data analysis and decision-making, leading to improved customer experiences, operational efficiency, and business outcomes in the retail sector.

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

Chapter 2: Literature Review
2.1 Overview of Edge AI in retail
2.2 Applications of Edge AI in smart retail
2.3 Benefits of Edge AI in retail operations
2.4 Challenges and limitations of implementing Edge AI in retail
2.5 Integration of Edge AI with other technologies in the retail sector
2.6 Case studies of successful implementation of Edge AI in retail
2.7 Future trends in Edge AI for smart retail
2.8 Comparison of Edge AI with traditional AI in retail
2.9 Ethical considerations of using Edge AI in retail
2.10 Summary of key findings from the literature review

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Population and sample
3.4 Data analysis techniques
3.5 Ethical considerations
3.6 Pilot study
3.7 Instrumentation
3.8 Data validation
3.9 Reliability and validity
3.10 Limitations of the research methodology

Chapter 4: Discussion of Findings
4.1 Overview of the study
4.2 Analysis of research findings
4.3 Comparison of findings with existing literature
4.4 Implications for practice
4.5 Recommendations for future research
4.6 Managerial implications
4.7 Theoretical implications
4.8 Challenges and limitations
4.9 Opportunities for further study
4.10 Conclusion of the discussion chapter

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Implications for practice
5.3 Recommendations for future research
5.4 Conclusion
5.5 Contributions to the field
5.6 Limitations of the study
5.7 Managerial implications
5.8 Theoretical implications
5.9 Final remarks

Thesis Overview on Edge AI for Smart Retail

Edge AI technology is transforming the retail industry by revolutionizing customer experiences, operational efficiency, and business outcomes. In this thesis, we explore the applications, benefits, challenges, and limitations of implementing Edge AI in smart retail. We also examine the integration of Edge AI with other technologies, ethical considerations, and future trends in the field. Through a comprehensive literature review, research methodology, discussion of findings, and conclusion, we provide valuable insights into the impact of Edge AI in the retail sector.

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