AI-Driven Service Transformation : Revolutionizing Operational Excellence

Ashok Sreerangapuri

doi:10.32628/CSEIT24106154

Authors

Ashok Sreerangapuri MBA, Texas A&M University-Commerce, USA Author

DOI:

https://doi.org/10.32628/CSEIT24106154

Keywords:

Artificial Intelligence in Service Management, Operational Excellence, Digital Service Transformation, Automated Incident Management, Customer Experience Enhancement

Abstract

Service industries are undergoing rapid transformation through the integration of artificial intelligence (AI) and automation. This article presents an AI-powered service delivery model that autonomously optimizes operations, improves customer satisfaction, and drives business growth. The article leverages AI algorithms to automate incident management, predict operational disruptions, and enhance customer experiences. Real-world implementations within retail, healthcare, and technology sectors demonstrate significant improvements in service efficiency, with operational costs reduced by 30% and customer satisfaction scores increasing by 30%. This article proposes AI-driven service enhancements as a game-changer in the delivery of complex, scalable, and reliable services.

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References

Marcello M. Mariani, Matteo Borghi, "Artificial intelligence in service industries: customers’ assessment of service production and resilient service operations," doi.org/10.1080/00207543.2022.2160027, 2023. https://www.tandfonline.com/doi/full/10.1080/00207543.2022.2160027

M. Ali Trabelsi, "The impact of artificial intelligence on economic development”. https://www.emerald.com/insight/content/doi/10.1108/JEBDE-10-2023-0022/full/html

V. D. Thompson and M. Chen, "The Financial Services Modernization Act: Evolution or Revolution?," Journal of Economics and Business, Volume 59, Issue 4, July–August 2007, Pages 313-339. https://www.sciencedirect.com/science/article/abs/pii/S0148619506001020 DOI: https://doi.org/10.1016/j.jeconbus.2006.08.002

Thomas Raja, "The Evolution of Customer Service in the Digital Age," 2024. https://www.linkedin.com/pulse/evolution-customer-service-digital-age-thomas-raja-sdm9c

Sai Mounika Inavolu, "Exploring AI-Driven Customer Service: Evolution, Architectures, Opportunities, Challenges and Future Directions," June 2024, DOI:10.13140/RG.2.2.19937.31841, 2024. https://www.researchgate.net/publication/381224987_Exploring_AI-Driven_Customer_Service_Evolution_Architectures_Opportunities_Challenges_and_Future_Directions

Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, Michael R. Lyu, "Towards intelligent incident management: why we need it and how we make it," Foundations of Software Engineering, 2020. https://www.microsoft.com/en-us/research/publication/towards-intelligent-incident-management-why-we-need-it-and-how-we-make-it/?msockid=228aad31782d6ce406e9b9de79c56d17

Tauqeer Ahmed, Babar Hussain, "The Role of AI in Enhancing Customer Experience and Engagement in Digital Transformation," 2023. https://www.researchgate.net/publication/371205771_The_Role_of_AI_in_Enhancing_Customer_Experience_and_Engagement_in_Digital_Transformation

Booz "Change Management for Artificial Intelligence Adoption,". https://www.boozallen.com/insights/ai-research/change-management-for-artificial-intelligence-adoption.html