[ad_1]

Introduction

In today’s fast-paced digital world, customer complaints have become an inevitable aspect of business operations. With the rise of e-commerce and online services, customers are more empowered than ever to voice their grievances and seek resolution for their concerns. As a result, businesses are constantly seeking innovative ways to automate and streamline the complaint resolution process to enhance customer satisfaction and loyalty.

Natural language understanding (NLU) is a branch of artificial intelligence that focuses on the ability of computers to understand and interpret human language in a meaningful way. By leveraging NLU technology, businesses can automate the customer complaint resolution process, improve response times, and enhance overall customer experience.

This thesis aims to explore the potential of NLU for automated customer complaint resolution and its impact on customer satisfaction. By examining the existing literature, conducting empirical research, and presenting a theoretical framework, this study seeks to provide insights into the benefits and challenges of implementing NLU in customer service operations.

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 Introduction to NLU
2.2 Customer complaints and resolution
2.3 Automation in customer service
2.4 NLU applications in customer service
2.5 Benefits of NLU in customer complaint resolution
2.6 Challenges of implementing NLU in customer service
2.7 Best practices for NLU implementation
2.8 Case studies of NLU in customer service
2.9 Future trends in NLU for customer complaint resolution
2.10 Summary of literature review

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Sampling techniques
3.4 Data analysis techniques
3.5 Survey questionnaire development
3.6 Pilot testing procedures
3.7 Ethical considerations
3.8 Limitations of research methodology

Chapter 4: Discussion of Findings
4.1 Analysis of survey results
4.2 Comparison of NLU implementations in customer service
4.3 Impact of NLU on customer satisfaction
4.4 Key findings and insights
4.5 Implications for business practice
4.6 Recommendations for future research
4.7 Conclusion of the study

Chapter 5: Conclusion and Summary
5.1 Recap of key findings
5.2 Contribution to the field of customer service
5.3 Implications for businesses
5.4 Limitations of the study
5.5 Recommendations for future research
5.6 Conclusion and final remarks

Thesis Overview on Natural Language Understanding for Automated Customer Complaint Resolution

The increasing prevalence of digital communication channels and online services has led to a significant rise in customer complaints across various industries. As a result, businesses are constantly seeking ways to enhance their customer service operations and improve the complaint resolution process. One promising technology that has gained attention in recent years is natural language understanding (NLU).

NLU is a subfield of artificial intelligence that focuses on enabling computers to understand and interpret human language in a way that is meaningful and contextually relevant. By leveraging NLU technology in customer service operations, businesses can automate the complaint resolution process, improve response times, and enhance overall customer satisfaction.

This thesis aims to explore the potential of NLU for automated customer complaint resolution and its impact on customer satisfaction. The study will begin with a comprehensive review of the existing literature on NLU, customer complaints, and automation in customer service. Following the literature review, the research methodology will be discussed in detail, including the research design, data collection methods, and analysis techniques.

The findings of the study will be presented and discussed in Chapter 4, focusing on the analysis of survey results, comparisons of NLU implementations in customer service, and the impact of NLU on customer satisfaction. The chapter will also include key insights, implications for business practice, and recommendations for future research.

In the concluding chapter, the thesis will summarize the key findings, contributions to the field of customer service, implications for businesses, and recommendations for future research. By examining the benefits and challenges of implementing NLU in customer service operations, this study aims to provide valuable insights for businesses seeking to enhance their customer complaint resolution processes and improve overall customer satisfaction.

[ad_2]

---

Purchase Detail

Download the complete project materials to this project with Abstract, Chapters 1 – 5, References and Appendix (Questionaire, Charts, etc), Click Here to place an order via whatsapp. Got question or enquiry; Click here to chat us up via Whatsapp.
You can also call 08111770269 or +2348059541956 to place an order or use the whatsapp button below to chat us up.
Bank details are stated below.

Bank: UBA
Account No: 1021412898
Account Name: Starnet Innovations Limited

The Blazingprojects Mobile App

Download and install the Blazingprojects Mobile App from Google Play to enjoy over 50,000 project topics and materials from 73 departments, completely offline (no internet needed) with monthly update to topics, click here to install.