Year: 2025
Type: dissertation
Abstract: The developed solution expands the capabilities of existing QMS through the use of VA and the development of AI, in particular GPT-3.5, to ensure more effective and informative communication with users. Thus, an effective tool has been developed to automate and improve service processes, which provides: improved interaction with by users, the use of AI to improve responses, efficient data storage and analysis, the possibility of automation thanks to GAS. In the future, it is planned to expand the language model, improve the user interface, add an automatic speech recognition module to support many languages and additional query analysis capabilities, develop algorithms that learn from user responses to provide personalized answers and improve the interaction experience, research and optimize data processing algorithms for faster and more efficient system operation with a large flow of requests. These scientific developments can improve the efficiency, accuracy and user experience of the MSS using VA.
Author: Juliet Otojareri, Slyusarenko
Institution: Ternopil Ivan Pului National Technical University
Language: English
Topic: AI in Service Interactions
Subfield: Marketing
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6995486727