Artificial Intelligence for Customer Complaint Management |
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© 2023 by IJCTT Journal | ||
Volume-71 Issue-3 |
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Year of Publication : 2023 | ||
Authors : Dishant Banga, Kiran Peddireddy | ||
DOI : 10.14445/22312803/IJCTT-V71I3P101 |
How to Cite?
Dishant Banga, Kiran Peddireddy, "Artificial Intelligence for Customer Complaint Management," International Journal of Computer Trends and Technology, vol. 71, no. 3, pp. 1-6, 2023. Crossref, https://doi.org/10.14445/22312803/IJCTT-V71I3P101
Abstract
The primary goal of the proposed system in this paper is to improve the efficiency of customer complaint handling by automating the process, which analyzes complaints to identify patterns and provides quick and accurate responses by utilizing artificial intelligence techniques for improving products or services. The proposed system utilizes the natural language processing model, trained on a dataset of customer complaints, to understand and classify the complaints. Also, based on the classification, the system will provide appropriate responses to the complaints. The system will also analyze the complaints to identify common issues and patterns and make suggestions for improving products or services to improve customer experience. The proposed system is also evaluated on a dataset of customer complaints, and the results will be compared to traditional complaint-handling methods. The evaluation metrics include measuring the accuracy in classifying complaints, the time taken to respond, and the satisfaction level of the customers with the responses provided. In conclusion, the proposed AI-powered customer complaint handling system aims to improve the efficiency and effectiveness of complaint handling by automating the process and providing quick and accurate responses by analyzing complaints to identify patterns and make suggestions for improving products or services, which will lead to increased customer satisfaction.
Keywords
Artificial intelligence(AI), Natural Language Processing(NLP), Machine Learning(ML).
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