Análisis estratégico del proceso de compra y venta de vehículos usados en Segundautos Boyacá, usando herramientas de inteligencia artificial para la proyección de tendencias de mercado

Abstract

The used vehicle market in Colombia has experienced sustained growth over the years, driven by economic factors and by the continued advancement of digitalization in the automotive trade, which has helped optimize the development of related processes. In this context, this study focuses on strategically analyzing the used vehicle buying and selling process at Segundautos Boyacá, with the aim of identifying opportunities for improvement using artificial intelligence tools, given the significant impact AI has had in recent years across various economic sectors. To this end, the research adopts a mixed-methods approach, combining documentary analysis with surveys applied to customers and suppliers. The results show a positive assessment of the commercial process in terms of customer service and pricing since the company’s inception; however, they also reveal weaknesses in the use of digital platforms or similar tools that could improve the overall process, due to an excessive reliance on the owner’s direct management. Based on these findings, various AI tools currently available are identified, and feasible digitalization strategies are proposed, aimed at strengthening competitiveness and data-driven decision-making for Segundautos Boyacá.