Measuring ROI of AI Implementations in Customer Support: A Data-Driven Approach
Vamsi Katragadda ()
Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 5, issue 1, 133-140
Abstract:
The rapid adoption of Artificial Intelligence (AI) in customer support has transformed how businesses interact with customers, promising enhanced efficiency, reduced costs, and improved customer satisfaction. This paper presents a comprehensive framework for measuring the Return on Investment (ROI) of AI implementations in customer support using a data-driven approach. By integrating quantitative and qualitative metrics, we provide a robust methodology to evaluate the financial and operational impacts of AI solutions. Our analysis includes case studies from various industries, demonstrating the practical applications and benefits of AI in real-world customer support scenarios. The findings underscore the importance of leveraging data analytics to inform strategic decisions, optimize AI investments, and maximize organizational value.
Keywords: AI in Customer Support; Return on Investment (ROI; Data-Driven Analysis; Customer Support Efficiency; Cost Reduction; Customer Satisfaction; AI Implementation; Quantitative Metrics (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:das:njaigs:v:5:y:2024:i:1:p:133-140:id:182
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