From transactional to human: how artificial intelligence is redefining relational marketing in service companies in the state of Rio Grande do Sul – Brazil

  • Marlise Alves Silva ESPM
  • João Capelli Facultad QI
Keywords: Relationship marketing, Artificial intelligence, Services, Personalization, Trust, Operational efficiency

Abstract

This article analyzes how Artificial Intelligence (AI) is transforming relationship marketing in service companies, promoting a transition from the transactional model to a more human and personalized approach. Based on qualitative interviews with five experts from companies that use AI in their customer relationship strategies, the study investigates how AI can enhance personalization and operational efficiency without compromising the human dimension. Best practices, ethical challenges, integration between teams, and perceptions of trust, personalization, and efficiency are discussed. The results point to a possible convergence between technology and humanization, provided that data governance, transparency, and cross-functional integration are in place.

Author Biographies

Marlise Alves Silva, ESPM

Professor of graduate and postgraduate programs at International Marketing at ESPM-Sul, Dom Bosco Faculty in Porto Alegre and Unisinos (Brasil). PhD in Economics, Management and Business Administration from the University of Deusto, Spain, with a diploma revalidated by FEA/USP. She holds a degree in Business Administration - Foreign Trade from the University of Vale do Rio dos Sinos (Unisinos), with postgraduate degrees in Strategic Foresight and Future Design (2024) from ESPM-Sul, Teaching Theories and Practices (2016) and Services Marketing (2004), both from ESPM-Sul. She currently works as a Technical Analyst Specialized in International Business Promotion at FIERGS, being responsible for coordinating international missions and business roundtables.

João Capelli, Facultad QI

Professor at the QI School and founder of Capelli Consulting, specializing in strategic innovation projects for companies across various sectors. His areas of interest include strategy and artificial intelligence applied to marketing and customer relations. He holds a PhD in Administration with an emphasis on Artificial Intelligence applied to Business from the University of Caxias do Sul (UCS). He holds a Master's degree in Administration from the Federal University of Rio Grande do Sul (UFRGS) and a Bachelor's degree in Business Administration from UNISINOS.

References

Acemoglu, D., & Restrepo, P. (2019). Automation and new tasks: How technology displaces and reinstates labor. Journal of Economic Perspectives, 33(2), 3-30.

AI-Advertising Guidelines. (2023). AI advertising: An overview and guidelines. Journal of Business Research, 158, 113647. Disponible en: https://doi.org/10.1016/j.jbusres.2023.113647

AI-powered Personalized Pricing. (2025). AI-powered personalized recommendations and pricing: Moderating effects of trust. International Journal of Information Management, 69, 102747. Disponible en: https://doi.org/10.1016/j.ijinfomgt.2025.102747

Bardin, L. (2009). Análise de conteúdo. Edições 70.

Brynjolfsson, E., & McAfee, A. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. W.W. Norton & Company.

Davenport, T. H., & Kirby, J. (2016). Only humans need apply: Winners and losers in the age of smart machines. Harper Business.

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.

Grandinetti, R. (2017). Exploring the Dark Side of Cooperative Buyer-Seller Relationships. Journal Of Business & Industrial Marketing, 32(2), 326-336.

Grönroos, C. (2011). Value co-creation in service logic: A critical analysis. Marketing Theory, 11(3), 279-301.

Kotler, P., & Keller, K. L. (2012). Marketing Management (14th ed.). Prentice Hall.

Kumar, V., Dixit, A., & Javalgi, R. G. (2022). AI in customer experience management. Journal of Business Research, 153, 52–68.

Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69-96.

Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20-38.

Nguyen, B., Simkin, L., Canhoto, A. (2015). The Dark Side of CRM- Customers, Relationships and Management. London, Routledge. https://doi.org/10.4324/9781315753737

Paradoxes of AI. (2020). Paradoxes of artificial intelligence in consumer markets: Ethical consideration and future research agenda. Journal of Business Research, 117, 299-310. Disponible en: https://doi.org/10.1016/j.jbusres.2020.05.001

Pires, N. P., & Santos, A. R. (2023). The dark side of relationship marketing: an analysis of the phenomenon in public management. Revista Alcance (online), 30(1), 1.-16.

Rebiazina, V., Sharko, H., & Berezka, S. (2024). The impact of relationship marketing practices on companies’market and financial performance in emerging markets. Journal of Economics, Finance and Administrative Science, 29(57), p. 186-204. Disponible en: https://revistas.esan.edu.pe/index.php/jefas/article/view/731/586

Reis, A. C., Terra Iacovelo, M., Bueno, L., & Alves da Costa Filho, B. (2016). Marketing de Relacionamento: Agregando Valor ao Negócio com Big Data. Revista Brasileira de Marketing, 15(4), noviembre, 2016, pp. 512-523 Universidade Nove de Julho São Paulo, Brasil. Disponible en: https://www.redalyc.org/articulo.oa?id=471755317007

Roesch, S. M. A. (2010). Projetos de estágio e de pesquisa em administração (3. ed.). Atlas.

Rust, R. T. (2023). Artificial intelligence in service: Opportunities and threats. Journal of Service Research, 26(1).

Saaksjarvi, M., Hellen, K., Gummerus, J., & Grönroos, C. (2008). Love at First Sight or a Long-term Affair? Different Relationship Levels as Predictors of Customer Commitment. European Advances in Consumer Research, 8, p. 402 – 403.

Santana, P. De C. (2020). O Marketing de Relacionamento como Estratégia comercial de Fidelização e Escala em Vendas. Fortaleza – CE. Ed. 190. V.1. Disponible en: http://dx.doi.org/10.35265/2236-6717-190-8606

Santiago Cevallos, Karla D. Torres and Maria, Miranda-Guerra (2024). Relationship Marketing and Customer Loyalty: A Quantitative Analysis in the Retail Sector. IBIMA Business Review, Vol. 2024, Article ID 710234, https://doi.org/10.5171/2024.710234

Simon, F. C. (2008). Marketing de Relacionamento – Um modelo teórico para servir como guia na implantação de programas de fidelidade. PUC-SP.

Trust & AI-Driven Personalization. (2024). AI-driven personalization: Unraveling consumer perceptions in social media. Computers in Human Behavior, 152, 107185. Disponible en: https://doi.org/10.1016/j.chb.2024.107185

Using AI to Enhance CX. (2023). Using artificial intelligence to enhance customer experience and engagement. Telematics and Informatics, 77, 102637. Disponible en: https://doi.org/10.1016/j.tele.2023.102637

Published
2026-02-27
How to Cite
Alves Silva, Marlise, and João Capelli. 2026. “From Transactional to Human: How Artificial Intelligence Is Redefining Relational Marketing in Service Companies in the State of Rio Grande Do Sul – Brazil”. Bulletin of Economic Studies 80 (236), 227-43. https://doi.org/10.18543/bee.3345.