Reimagining customer analytics

ChatGPT, an advanced artificial intelligence (AI) tool developed by OpenAI, excels in natural language processing (NLP) for understanding and generation. In the age of rapidly advancing digital technologies, businesses are continually seeking innovative ways to enhance customer experience and optimize their strategies. This study explores the potential of ChatGPT in analyzing customer data and generating predictive insights for customer-centric strategies in digital businesses. In this study, qualitative methods were used to conduct interviews with ten experts using ChatGPT for customer analytics in Bangkok, Thailand, with participants selected through purposive sampling. The collected data was analyzed using content analysis, Taguette and NVivo. The results highlight the exciting possibilities of ChatGPT to drive customer-centric strategies through insightful analytics and predictive capabilities. This study paves the way for further exploration of AI-powered tools to revolutionize customer engagement and foster stronger digital relationships. ChatGPT’s ability to process large amounts of text data makes it valuable for analyzing customer data and predictive analytics. The findings suggest that ChatGPT is a promising resource for businesses seeking to understand their customers, customize their services and increase overall satisfaction. However, despite its great potential, further research and development is needed to maximize opportunities and address limitations.

Authors

Institutions

Publication Details

Journal
Management
Published
2025-06-20
DOI
https://doi.org/10.30924/mjcmi.30.1.6
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reimagining customer analytics

Pongsakorn Limna, Tanpat Kraiwanit
Management
Big Data and Business Intelligence
article

Reimagining customer analytics

Pongsakorn Limna, Tanpat Kraiwanit
article en

Abstract

ChatGPT, an advanced artificial intelligence (AI) tool developed by OpenAI, excels in natural language processing (NLP) for understanding and generation. In the age of rapidly advancing digital technologies, businesses are continually seeking innovative ways to enhance customer experience and optimize their strategies. This study explores the potential of ChatGPT in analyzing customer data and generating predictive insights for customer-centric strategies in digital businesses. In this study, qualitative methods were used to conduct interviews with ten experts using ChatGPT for customer analytics in Bangkok, Thailand, with participants selected through purposive sampling. The collected data was analyzed using content analysis, Taguette and NVivo. The results highlight the exciting possibilities of ChatGPT to drive customer-centric strategies through insightful analytics and predictive capabilities. This study paves the way for further exploration of AI-powered tools to revolutionize customer engagement and foster stronger digital relationships. ChatGPT’s ability to process large amounts of text data makes it valuable for analyzing customer data and predictive analytics. The findings suggest that ChatGPT is a promising resource for businesses seeking to understand their customers, customize their services and increase overall satisfaction. However, despite its great potential, further research and development is needed to maximize opportunities and address limitations.

ManagementVol. 30(1)
Pathumthani University (TH), Hodges University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.