Proposal for the implementation of a web application with Stripe, Culqi, Coingate and Gemini AI in the optimization of architectural plan sales
DOI:
https://doi.org/10.18050/revucv-scientia.v17n2a5Keywords:
e-commerce, payment gateways, artificial intelligence, Gemini AI, architectural plan salesAbstract
This academic article presents a proposal for deploying a web-based application designed to improve the digital marketing of architectural plans by integrating three different payment gateways (Stripe, Culqi, and Coingate) with a conversational agent powered by Gemini AI. The proposal stems from the need to enhance the security, efficiency, and reliability of the purchasing process in a sector that has historically operated informally, characterized by manual transactions, lengthy wait times, and inadequate technical support for users. The methodological framework employed is quantitative and descriptive, examining operational variables such as flow efficiency, transactional security, and the expected performance of the artificial intelligence. The anticipated results indicate that the integration of these technologies has the potential to significantly reduce the duration of the purchasing process, improve the perception of security, minimize operational errors, and increase user satisfaction. Furthermore, the Gemini AI agent is capable of automating technical support, handling inquiries, and guiding the buyer in selecting the most suitable plan. Overall, the proposal represents a feasible, contemporary, and scalable solution for the digital transformation of the architecture sector, as it offers a technological model that can be replicated in other areas related to the sale of digital products.
References
Achach Sonda, L. G. (2020). Redes de líderes educativos: Herramientas para la colaboración. IE Revista de Investigación Educativa de la REDIECH, 11, e867. https://doi.org/10.33010/ierierediech.v11i0.867
Barat, A., & Gulati, K. (2024). Emergence of AI in marketing and its implications. Lloyd Business Review, 3, 1–24. https://doi.org/10.56595/lbr.v3i1.22
Béjar González, V., & Loredo Cansino, R. (2025). Estilos de vida: El nuevo paradigma en la publicidad residencial. Cuadernos del Centro de Estudios en Diseño y Comunicación. Ensayos, 252, 19–31. https://doi.org/10.18682/CDC.VI252.12123
Houcheimi, A., & Mezei, J. (2024). The role of secure online payments in enabling the development of e-tailing. Journal of Organizational Computing and Electronic Commerce, 34(4), 299–317. https://doi.org/10.1080/10919392.2024.2371236
Kardefelt-Winther, D. (2014). A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior, 31(1), 351–354. https://doi.org/10.1016/j.chb.2013.10.059
Pacheco, A., Sánchez, K., Cárdenas-Quispe, M., Uribe-Blaz, Y., & Ortiz-Salguero, M. (2024). A virtual platform solution for secure sales registration and management in the retail sector. F1000Research, 13, 558. https://doi.org/10.12688/f1000research.144254.1
Patil, S. M., Kharat, A. M., Jain, S., Tripathi, V. V. R., Bisen, G. K., & Joshi, A. (2024). Investigating the influence and function of artificial intelligence in contemporary marketing management. En Proceedings of the 2024 International Conference on Advances in Computing, Communication and Applied Informatics (pp. 1–5). https://doi.org/10.1007/978-981-10-4642-1
Sánchez, K. (2024). Software availability for secure sales registration and management. Zenodo. https://doi.org/10.5281/zenodo.10728633
Saraguro Calva, R. G., Tobar Villacís, H. M., & Coyago Loayza, X. S. (2025). La inteligencia artificial en las estrategias de marketing digital de las pequeñas y medianas empresas: Percepción de expertos del sector. Ciencia Latina Revista Científica Multidisciplinar, 9(4), 3047–3061. https://doi.org/10.37811/CL_RCM.V9I4.18948
Suarez-Alvarez, A., & Cabanillas-Carbonell, M. (2024). Web system based on a service architecture to improve the management of the sales process after COVID-19. International Journal of Engineering Trends and Technology, 72(12), 367–375. https://doi.org/10.14445/22315381/IJETT-V72I12P131
Triputra, S., & Atqiya, F. (2021). Implementation of natural language processing in seller-bot for SMEs. Journal of Physics: Conference Series, 1764, 012069. https://doi.org/10.1088/1742-6596/1764/1/012069
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