Measuring ROI of AI Implementations in Customer Support: A Data-Driven Approach

doi:10.60087/jaigs.v5i1.182

Paper

Measuring ROI of AI Implementations in Customer Support: A Data-Driven Approach

Published Jun 27, 2024 · Vamsi Katragadda

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023

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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.

Study Snapshot

AI implementations in customer support can enhance efficiency, reduce costs, and improve customer satisfaction when measured using a data-driven approach.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Measuring ROI of AI Implementations in Customer Support: A Data-Driven Approach

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