The Economics of AI-Powered Call Center Development Using Chatgpt for the Needs of an Automotive Retail Business

Amid the shift toward automation in customer service through artificial intelligence (AI), this research study explores the practical integration of OpenAI Realtime API using the GPT-4o-mini-realtime-preview-2024-12-17 model into an AI-powered call center tailored for the local automotive webshop

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.15308/sinteza-2025-382-388
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28

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article

The Economics of AI-Powered Call Center Development Using Chatgpt for the Needs of an Automotive Retail Business

Pavle Dakić, Vladimir Todorović, Živana Kljajić, Tjaša Heričko
1 citations
Big Data and Business Intelligence
2.28
article

The Economics of AI-Powered Call Center Development Using Chatgpt for the Needs of an Automotive Retail Business

Pavle Dakić, Vladimir Todorović, Živana Kljajić, Tjaša Heričko
article en
1 citations

Abstract

Amid the shift toward automation in customer service through artificial intelligence (AI), this research study explores the practical integration of OpenAI Realtime API using the GPT-4o-mini-realtime-preview-2024-12-17 model into an AI-powered call center tailored for the local automotive webshop

Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR, Erasmus+
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Big Data and Business Intelligence
2.28
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The Economics of AI-Powered Call Center Development Using Chatgpt for the Needs of an Automotive Retail Business — Pavle Dakić, Vladimir Todorović, et al. · (2025) | TGRS Research Map | TGRS