Real-time personalization automation through artificial intelligence in marketing [Automatización de la personalización en tiempo real a través de la inteligencia artificial en marketing]
DOI:
https://doi.org/10.62574/rmpi.v6iespecial.481Keywords:
artificial intelligence, marketing, e-commerceAbstract
This study focuses on the automation of personalisation in marketing through AI, applied to the supermarket sector. The objective was to evaluate how AI enhances the customer experience and optimises digital marketing strategies, using a mixed methodology involving surveys, document review and direct observation. The results indicate that most consumers perceive a notable increase in the quality of their online shopping experience thanks to personalisation, highlighting the crucial role of AI in this progress. While a significant proportion of participants express their willingness to share their personal data in order to receive offers, they express certain reservations regarding privacy. The research concludes that, although the automation of personalisation offers great operational and service benefits, its ultimate success depends on the ability of companies to manage data properly and maintain transparency.
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References
Arango, I. (2021). Oportunidades para la transformación digital de la cadena de suministro del sector bananero basado en software con inteligencia artificial [Opportunities for digital transformation of the banana sector supply chain based on artificial intelligence software]. Revista Politécnica, 17(33), 47–63. https://revistas.elpoli.edu.co/index.php/pol/article/view/1834/1855
Badenes, V., & Morales, J. (2023). La inteligencia artificial ante los retos de la industria de la moda. Beneficios y aplicaciones en la fase de comercialización y marketing [Artificial intelligence facing the challenges of the fashion industry. Benefits and applications in the commercialization and marketing phase]. Razón y Palabra, 27(118), 20–32. https://revistarazonypalabra.org/index.php/ryp/article/view/2073/1885
Coronel, C., Luna, K., & Erazo, J. (2024). Gestión de impagos bajo incertidumbre en pequeñas y medianas empresas: aplicaciones con redes neuronales [Non-payment management under uncertainty in small and medium enterprises: applications with neural networks]. Revista Venezolana de Gerencia, 29(e11), 222–242. https://doi.org/10.52080/rvgluz.29.e11.13
Crespo, V., & Sánchez, E. (2024). Metaverso y neuromarketing: innovación metodológica en el estudio del consumidor y del retail [Metaverse and neuromarketing: methodological innovation in consumer and retail studies]. Universitas XXI, 42, 193–215.
Criollo, M., Erazo, J., & Narváez, C. (2019). Estrategias de Marketing y posicionamiento de marca para el sector artesanal textil [Marketing strategies and brand positioning for the textile craft sector]. CIENCIAMATRIA, 5(1), 245–270. https://doi.org/10.35381/cm.v5i1.266
García, V., & Valencia, A. (2026). Integrating artificial intelligence and quantum computing: A systematic literature review of features and applications [Integración de inteligencia artificial y computación cuántica: una revisión sistemática de la literatura sobre características y aplicaciones]. International Journal of Cognitive Computing in Engineering, 7, 26–39.
Gil, M., Sans, A., Lavandeira, Y., & LLorens, M. (2025). Impact of augmented reality on Generation Z's purchasing intention [Impacto de la realidad aumentada en la intención de compra de la Generación Z]. Visual Review, 17(5), 17–29. https://visualcompublications.es/revVISUAL/article/view/5938/4313
Hollenstein, P. (2019). ¿Están en riesgo los mercados y ferias municipales? Aprovisionamiento de alimentos, economías populares y la organización del espacio público urbano de Quito [Are municipal markets and fairs at risk? Food supply, popular economies and the organization of Quito's urban public space]. Friedrich-Ebert-Stiftung (FES) Ecuador, Instituto Latinoamericano de Investigaciones Sociales (ILDIS). https://library.fes.de/pdf-files/bueros/quito/15203.pdf
Instituto Nacional de Estadística y Censos. (2023). Tabulados del registro estadístico de empresas [Tabulated data from the statistical business registry]. https://www.ecuadorencifras.gob.ec/directoriodeempresas/
Kotler, P., Kartajaya, H., & Setiawan, I. (2021). Marketing 5.0: Technology for humanity [Marketing 5.0: Tecnología para la humanidad]. Wiley. https://rudyct.com/mm/Digimark/Marketing-5.0-Technology.forHumanity_Kotler,Kartajaya,Setiawan-2021.pdf
Méndez, B., Villegas, C., & Barrientos, A. (2024). Aplicación del método few shot learning al modelo GPT3.5 para la personalización del contenido de las redes sociales [Application of the few shot learning method to the GPT3.5 model for social media content personalization]. Memorias de la Vigésima Tercera Conferencia Iberoamericana en Sistemas, Cibernética e Informática. https://www.iiis.org/CDs2024/CD2024Summer/papers/CA117GT.pdf
Moodley, K., & Sookhdeo, L. (s.f.). The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector [El papel de la personalización de la inteligencia artificial en el comercio electrónico: decisiones de compra de clientes en el sector minorista]. South African Journal of Information Management, 27(1), 1–16. https://sajim.co.za/index.php/sajim/article/view/1926/3144
Ramírez, D. (2024). Optimización empresarial mediante big data para la personalización de estrategias en pymes: una revisión narrativa [Business optimization through big data for strategy personalization in SMEs: a narrative review]. European Public & Social Innovation Review, 9(1), 1–17. https://epsir.net/index.php/epsir/article/view/579/287
Salgado, N., Fajardo, P., & Vasquez, M. (2024). Segmentación y personalización en marketing digital mediante inteligencia de negocios para el sector de comercio minorista en Ecuador [Segmentation and personalization in digital marketing through business intelligence for the retail sector in Ecuador]. Digital Publisher, 9(6), 1152–1161. https://www.593dp.com/index.php/593_Digital_Publisher/article/view/2809/2296
Tan, L., Hu, S., Yeo, D., & Cheong, K. (2025). Artificial intelligence-enabled adaptive learning platforms: A review [Plataformas de aprendizaje adaptativo habilitadas por inteligencia artificial: una revisión]. Computers and Education: Artificial Intelligence, 9, 100429.
Yépez, M., & Erazo, J. (2025). La segmentación de audiencias en el marketing de contenidos [Audience segmentation in content marketing]. Revista Multidisciplinaria Perspectivas Investigativas, 5, 453–465. https://doi.org/10.62574/rmpi.v5ieconomica.393
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