Optimization of Customer Service Processes using Artificial Intelligence under the ISO 9001 approach: A systematic review

Authors

DOI:

https://doi.org/10.55873/rad.v4i2.371

Keywords:

Intelligent automation, Chatbots, Continuous improvement, Quality standards, Digital transformation

Abstract

Customer service in organizational settings has faced growing challenges due to increased demand and the need for faster, more personalized responses. In this context, Artificial Intelligence (AI) has emerged as a key tool to automate processes, reduce waiting times, and enhance user experience. The objective of this study was to analyze how AI implementation optimized customer service processes within the framework of ISO 9001. The findings revealed that AI improved operational efficiency, supported data-driven decision-making, and significantly contributed to customer satisfaction through consistent and personalized services. Moreover, cases such as Alibaba and DHL demonstrated improvements in traceability, accuracy, and speed of operations aligned with ISO 9001 quality principles. It is concluded that effective implementation requires change management strategies, employee training, and the adoption of scalable tools, particularly in SMEs, ensuring continuous improvement without compromising the quality standards established by the ISO 9001 framework.

Downloads

Download data is not yet available.

References

Adam Khatir, H., Almustfa, A., Bee, M., & Almustfa Hussin Adam Khatir, A. (2022). Machine Learning Models and Data-Balancing Techniques for Credit Scoring: What Is the Best Combination? Risks 2022, Vol. 10, Page 169, 10(9), 169. https://doi.org/10.3390/RISKS10090169

Aguiar-Costa, L. M., Cunha, C. A. X. C., Silva, W. K. M., & Abreu, N. R. (2022). Customer satisfaction in service delivery with artificial intelligence: A meta-analytic study. Revista de Administracao Mackenzie, 23(6). https://doi.org/10.1590/1678-6971/ERAMD220003.EN

Al-Araj, R., Haddad, H., Shehadeh, M., Hasan, E., & Nawaiseh, M. Y. (2022). The Effect of Artificial Intelligence on Service Quality and Customer Satisfaction in Jordanian Banking Sector. WSEAS Transactions on Business and Economics, 19, 1929–1947. https://doi.org/10.37394/23207.2022.19.173

Amato, A., Osterrieder, J. R., & Machado, M. R. (2024). How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review. International Journal of Information Management Data Insights, 4(2), 100234. https://doi.org/10.1016/j.jjimei.2024.100234

Camango, C., & Cândido, C. J. F. (2023). ISO 9001 maintenance, decertification and recertification: a systematic literature review. Total Quality Management and Business Excellence, 34(13–14), 1764–1796. https://doi.org/10.1080/14783363.2023.2203379

Casazola Cruz, O. D., Alfaro Mariño, G., Burgos Tejada, J., & Ramos More, O. A. (2021). La usabilidad percibida de los chatbots sobre la atención al cliente en las organizaciones: una revisión de la literatura. Interfases, 014, 184–204. https://doi.org/10.26439/interfases2021.n014.5401

Chiarini, A., & Cherrafi, A. (2023). Integrating ISO 9001 and Industry 4.0. An implementation guideline and PDCA model for manufacturing sector. Total Quality Management & Business Excellence, 34(13–14), 1629–1654. https://doi.org/10.1080/14783363.2023.2192916

Garcia, D. F., & Perea, A. Q. (2020). The protection of personal data and the right to be forgotten in Peru. On the purpose of the international standards of the Inter-American Human Rights system. In Derecho PUCP (Issue 84, pp. 271–299). https://doi.org/10.18800/DERECHOPUCP.202001.009

Hsu, C. C., Jiang, B. H., & Lin, C. C. (2023). A Survey on Recent Applications of Artificial Intelligence and Optimization for Smart Grids in Smart Manufacturing. Energies, Vol. 16, Page 7660, 16(22), 7660. https://doi.org/10.3390/EN16227660

Iparraguirre-Villanueva, O., Obregon-Palomino, L., Pujay-Iglesias, W., & Cabanillas-Carbonell, M. (2023). Agente inteligente para la gestión de incidencias. RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação, 51. https://doi.org/10.17013/risti.51.99-115

Jiang, L. (2022). Artificial Intelligence Algorithms for Multisensor Information Fusion Based on Deep Learning Algorithms. Mobile Information Systems. https://doi.org/10.1155/2022/3356213

Mariani, M. M., & Borghi, M. (2024). Artificial intelligence in service industries: customers’ assessment of service production and resilient service operations. International Journal of Production Research, 62(15), 5400–5416. https://doi.org/10.1080/00207543.2022.2160027

Martínez, N. O., Carabel, T. C., & García, S. A. (2021). Revisión de la investigación científica en ISO 9001 e ISO 14001: un análisis bibliométrico. Cuadernos de Gestión, 21(1), 29–45. https://doi.org/10.5295/cdg.191189no

Moskvichenko, I., Stadnik2, V., & Kushnir3, L. (2024). Improvement of the quality management system in the transport and logistics sector. Baltic Journal of Economic Studies, 10(4), 301–309. https://doi.org/10.30525/2256-0742/2024-10-4-301-309

Muruganandham, R., Venkatesh, K., Devadasan, S. R., & Harish, V. (2023). TQM through the integration of blockchain with ISO 9001:2015 standard based quality management system. Total Quality Management & Business Excellence, 34(3–4), 291–311. https://doi.org/10.1080/14783363.2022.2054318

Nuñez Cudriz, E. C., & Miranda Corrales, J. (2020). El marketing digital como un elemento de apoyo estratégico a las organizaciones. Cuadernos Latinoamericanos de Administración, 16(30). https://doi.org/10.18270/CUADERLAM.V16I30.2915

Nurcahyo, R., Zulfadlillah, & Habiburrahman, M. (2021). Relationship between ISO 9001:2015 and operational and business performance of manufacturing industries in a developing country (Indonesia). Heliyon, 7(1). https://doi.org/10.1016/j.heliyon.2020.e05537

Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., Mcdonald, S., … Mckenzie, J. E. (2021). PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews. BMJ, 372. https://doi.org/10.1136/BMJ.N160

Rojas Ahumada, K. A., López Zavaleta, V., & Mendoza de los Santos, A. C. (2023). El impacto de la Inteligencia Artificial en la mejora de la atención al cliente: Una revisión sistémica. Innovación y Software, 4(2), 201–222. https://doi.org/10.48168/INNOSOFT.S12.A90

Sanchez-Lizarraga, M. A., Limon-Romero, J., Tlapa, D., Baez-Lopez, Y., Puente, C., Puerta-Sierra, L., & Ontiveros, S. (2020). ISO 9001 standard: Developing and validating a survey instrument. IEEE Access, 8, 190677–190688. https://doi.org/10.1109/ACCESS.2020.3029744

Wali, A., Mahamad, S., & Sulaiman, S. (2023). Task Automation Intelligent Agents: A Review. Future Internet 2023, Vol. 15, Page 196, 15(6), 196. https://doi.org/10.3390/FI15060196

Published

2025-07-25

How to Cite

Rengifo-Sinarahua, R. E., Upiachihua-Panduro, R. R., Del-Aguila-Panduro, J. M., & Ramírez-Pezo, Y. E. (2025). Optimization of Customer Service Processes using Artificial Intelligence under the ISO 9001 approach: A systematic review. Revista Amazonía Digital, 4(2), e371. https://doi.org/10.55873/rad.v4i2.371

Similar Articles

1 2 3 > >> 

You may also start an advanced similarity search for this article.