Artificial Intelligence: Next Level Customer Service

Artificial Intelligence: Next Level Customer Service

Copyright: © 2023 |Pages: 15
ISBN13: 9798369304181|ISBN13 Softcover: 9798369304198|EISBN13: 9798369304204
DOI: 10.4018/979-8-3693-0418-1.ch015
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MLA

Negi, Vinod. "Artificial Intelligence: Next Level Customer Service." AI and Emotional Intelligence for Modern Business Management, edited by Bhawana Bhardwaj, et al., IGI Global, 2023, pp. 226-240. https://doi.org/10.4018/979-8-3693-0418-1.ch015

APA

Negi, V. (2023). Artificial Intelligence: Next Level Customer Service. In B. Bhardwaj, D. Sharma, & M. Dhiman (Eds.), AI and Emotional Intelligence for Modern Business Management (pp. 226-240). IGI Global. https://doi.org/10.4018/979-8-3693-0418-1.ch015

Chicago

Negi, Vinod. "Artificial Intelligence: Next Level Customer Service." In AI and Emotional Intelligence for Modern Business Management, edited by Bhawana Bhardwaj, Dipanker Sharma, and Mohinder Chand Dhiman, 226-240. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/979-8-3693-0418-1.ch015

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Abstract

Artificial intelligence's (AI) importance in customer service has significantly expanded in our daily lives. Businesses and customers are already swiftly adjusting to the new reality thanks to AI's simplicity of use. Artificial intelligence is useful in many areas and corrects common mistakes in conventional customer service. The three most prevalent problems customers have with customer service involve delays in responses, a lack of contact control, and the difficulty to receive help outside of typical business hours. The good news is that AI can handle these problems with ease, especially when it comes to customer service. Since AI is ultimately dependent on the data provided, and today data is available in abundance and an effective analysis of that data is required in order to gain competitive advantage over rivals and only with the help of AI can this be achieved, it may be essential for businesses to employ AI-enabled customer experience solutions that capture and model data in order to improve both customer satisfaction and the overall health of the company.

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