Creation Of A ChatBot Based On Natural Language Proccesing For Whatsapp

TL;DR

This paper presents the development of a natural language processing-based chatbot for WhatsApp aimed at enhancing customer service by providing quick, accurate, and personalized responses to user queries around the clock.

Contribution

It introduces a tailored NLP chatbot solution for WhatsApp, analyzing existing methods and emphasizing AI techniques to improve customer satisfaction and service quality.

Findings

NLP chatbots enable fast, accurate responses.

AI techniques like machine learning enhance chatbot adaptability.

Effective NLP improves customer satisfaction.

Abstract

In the era of digital transformation, customer service is of paramount importance to the success of organizations, and to meet the growing demand for immediate responses and personalized assistance 24 hours a day, chatbots have become a promising tool to solve these problems. Currently, there are many companies that need to provide these solutions to their customers, which motivates us to study this problem and offer a suitable solution. The objective of this study is to develop a chatbot based on natural language processing to improve customer satisfaction and improve the quality of service provided by the company through WhatsApp. The solution focuses on creating a chatbot that efficiently and effectively handles user queries. A literature review related to existing chatbots has been conducted, analyzing methodological approaches, artificial intelligence techniques and quality attributes used in the implementation of chatbots. The results found highlight that chatbots based on natural language processing enable fast and accurate responses, which improves the efficiency of customer service, as chatbots contribute to customer satisfaction by providing accurate answers and quick solutions to their queries at any time. Some authors point out that artificial intelligence techniques, such as machine learning, improve the learning and adaptability of chatbots as user interactions occur, so a good choice of appropriate natural language understanding technologies is essential for optimal chatbot performance. The results of this study will provide a solid foundation for the design and development of effective chatbots for customer service, ensuring a satisfactory user experience and thus meeting the needs of the organization.