Transforming Customer Relations: Emotional AI and Behavioural Insights as Strategic Enablers in the Automotive Industry

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Authors: Tajwar Hussaini, Nilofer Hussaini
Cited by: 0
References: 17

Abstract

This research examines how emotional AI deepens customer relations within the American automotive industry and how behavioural insights (BLI) mediate this process. Underlying framework: In the automotive industry, prioritising customer needs is crucial. Using emotional AI that analyses emotions and behavioural patterns can contribute to customer loyalty and satisfaction. The research employs a quantitative survey research approach. The sample pool comprised 237 customer experience managers representing various automotive companies in Texas. Emotional AI, business intelligence (BI), and consumer research are assessed using survey questionnaires, and the responses are recorded electronically. Descriptive regression and correlation analysis methods are employed to understand the connections between emotional AI, BLI, and customer relations. Evidence: The survey results indicated a positive relationship between the developed emotional AI and BLI, highlighting aspects of customer relations, including satisfaction and trust levels. The research’s findings suggest that emotional AI and BI could be a strategic intervention for enhancing customer loyalty.

Fields of Study & Subjects

AI in Service Interactions Emotional Intelligence and Performance Big Data and Business Intelligence

Publication details

Journal / source
Integrating 4IR and 5IR Technologies for Digital Business Innovation
Publisher
Emerald Publishing Limited
Pages
185–195
Publication date
5 January 2026
Language
EN
Document type
Book chapter