Development of a technological platform for data analysis and customer profile according to consumption patterns
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Universidad de Medellín
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El artículo describe la creación de una plataforma web de venta de productos con implementación de herramientas de análisis y visualización de datos y el uso de Chatbot con Inteligencia Artificial. Cuyo objetivo fue proporcionar una solución práctica que representara una mejora en la atención al cliente y ha promovido la eficiencia empresarial mediante la toma de decisiones informadas en la empresa ABBIS SAS. La metodología aplicada siguió un enfoque estructurado basado en el modelo MVC (Model-View-Controller) y el proceso ETL (Extraction, Transformation, Load). El proyecto se dividió en varias etapas: estructuración del proyecto, migración de la página web, desarrollo del chatbot, e integración de herramientas de analítica de datos. Utilizando la metodología SCRUM, se lograron entregas parciales del producto final, permitiendo ajustes continuos y mejoras con base en las necesidades del cliente. La plataforma permitió reducir costos, acelerar los tiempos de respuesta a las necesidades de los clientes y fomentar la creación de negocios más productivos, lo que, a su vez, fortalecerá la competitividad de ABBIS en el mercado. Final- mente, los resultados de este ejercicio de investigación aplicada servirán de referencia para que otras empresas desarrollen sus propias plataformas tecnológicas de análisis de datos y perfilamiento de clientes, alineadas con los patrones de consumo. Este enfoque contribuirá al crecimiento y el éxito continuo de las empresas en un entorno cada vez más orientado a los datos y a las necesidades cambiantes de los consumidores.
The article describes the creation of a web sales platform with the implementation of data analysis and visualization tools, and the use of an Artificial Intelligence Chatbot. The aim was to provide a practical solution that would improve customer service and promote business efficiency through informed decision-making at ABBIS SAS. The applied methodology followed a structured approach based on the MVC (Model-View-Controller) model and the ETL (Extraction, Transformation, Load) process. The project was divided into several stages: project structuring, website migration, chatbot development, and integration of data analytics tools. Using the SCRUM methodology, partial deliveries of the final product were achieved, allowing for continuous adjustments and improvements based on customer needs. The platform enabled cost reduction, faster response times to customer needs, and the fostering of more productive businesses, which, in turn, will strengthen ABBIS’s competitiveness in the market. Finally, the results of this applied research exercise will serve as a reference for other companies to develop their own technological platforms for data analysis and customer profiling, aligned with consumption patterns. This approach will contribute to the growth and continued success of companies in an increasingly data-oriented environment with changing consumer needs.
The article describes the creation of a web sales platform with the implementation of data analysis and visualization tools, and the use of an Artificial Intelligence Chatbot. The aim was to provide a practical solution that would improve customer service and promote business efficiency through informed decision-making at ABBIS SAS. The applied methodology followed a structured approach based on the MVC (Model-View-Controller) model and the ETL (Extraction, Transformation, Load) process. The project was divided into several stages: project structuring, website migration, chatbot development, and integration of data analytics tools. Using the SCRUM methodology, partial deliveries of the final product were achieved, allowing for continuous adjustments and improvements based on customer needs. The platform enabled cost reduction, faster response times to customer needs, and the fostering of more productive businesses, which, in turn, will strengthen ABBIS’s competitiveness in the market. Finally, the results of this applied research exercise will serve as a reference for other companies to develop their own technological platforms for data analysis and customer profiling, aligned with consumption patterns. This approach will contribute to the growth and continued success of companies in an increasingly data-oriented environment with changing consumer needs.
Palabras clave
Software development, Web platform, Artificial intelligence, Chatbot, Data analytics, Desarrollo de software, Plataforma web, Inteligencia artificial, Chatbot, Analítica de datos