2692-2967ISSN (Online)
2770-0216ISSN (Print)
Volume 13 , Issue 2 , PP: 33-41, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Ruxsoraxon Abduqayumova 1 * , Nargiza Alimukhamedova 2 , Maxbuba Ismailova 3
Doi: https://doi.org/10.54216/AJBOR.130204
The current swift advancement of Artificial Intelligence (AI) technologies is transforming operations management by integrating real-time data-driven insights for cost optimization and improved decision-making. In this paper, we explore the fusion of artificial intelligence (AI) technologies in call center operations management, focusing on how the integration of speech-to-text, text-to-speech, and speech analytics tools is revolutionizing customer interaction and decision-making. The fusion of real-time conversational data with advanced machine learning algorithms enables organizations to extract actionable insights, optimize key performance indicators (KPIs), and enhance customer satisfaction. Furthermore, in this research, we are estimating the approximate return on investment in the benchmarked private sectors of Uzbekistan, thus contributing to the future networks in the industry. Our research work bridges the gap between theoretical AI advancements and their practical applications, contributing to the growing body of knowledge on information fusion in intelligent systems in the emerging Uzbek market.
Artificial Intelligence , Future Networks , Speech-to-Text and Text-to-Speech , Call Analytics , ROI
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