Bibliographic citations
Mines, Mines (2024). Desarrollo de un Chatbot basado en redes neuronales con IBM Watson para la atención al cliente en axiska constructores en el año 2023 [Tesis, Universidad Privada Antenor Orrego]. https://hdl.handle.net/20.500.12759/28511
Mines, Mines Desarrollo de un Chatbot basado en redes neuronales con IBM Watson para la atención al cliente en axiska constructores en el año 2023 [Tesis]. PE: Universidad Privada Antenor Orrego; 2024. https://hdl.handle.net/20.500.12759/28511
@misc{renati/379329,
title = "Desarrollo de un Chatbot basado en redes neuronales con IBM Watson para la atención al cliente en axiska constructores en el año 2023",
author = "Mines Paz Víctor Alfredo",
publisher = "Universidad Privada Antenor Orrego",
year = "2024"
}
In the current construction sector, customer service plays a crucial role in ensuring satisfaction in project execution. This study focuses on the company ““Axiska Constructores,““ identifying deficiencies in the management of agreements with customers that affect their satisfaction. The research proposes addressing these issues through the implementation of a Neural Network-based Chatbot. The posed problem revolves around the question: How can customer query management be improved at ““Axiska Constructores““ during the year 2023. The aim is to analyze current weaknesses in customer service, explore innovative solutions, and assess the impact of implementing a customized Chatbot on query management efficiency and internal communication. The research objectives range from reviewing Neural Network-based Chatbot technologies to designing, integrating, and testing the Chatbot in real-life situations. The goal is to adjust its functionality based on results to ensure effectiveness and usability. Impact evaluation will occur throughout 2023, collecting data and user feedback to measure improvements in query management efficiency and internal communication at ““Axiska Constructores.““ The implementation of the Chatbot is expected not only to optimize customer service processes, reducing wait times and improving efficiency but also to strengthen the relationship between the company and its customers, enhancing satisfaction in project purchases. This study combines qualitative and quantitative methods, including case study analyses of companies with similar solutions, to provide a comprehensive perspective on the influence of query management on customer satisfaction in the construction sector
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