Estudio de factibilidad del uso de inteligencia artificial para anticipar mantenimientos preventivos en la flota de transporte de carga pesada por carretera de BEARCARGO Cía. Ltda., período junio 2025 enero 2026

Abstract

Abstract: This Curriculum Integration Project evaluates the feasibility of implementing an artificial intelligence system to anticipate preventive maintenance needs in the heavy-duty transport fleet of BEARCARGO Cía. Ltda. Market, technical, and economic studies were conducted, identifying the need to reduce unplanned downtime and structuring a scalable solution based on the systematic recording of operational and maintenance data, with gradual implementation through a pilot program. The economic-financial evaluation compared the without-project scenario to the with-project scenario using five-year incremental cash flows, considering the reduction in corrective events and downtime, as well as the system s investment and operating costs. The profitability indicators obtained demonstrate economic viability and value creation (positive NPV, IRR above the minimum acceptable rate, and a favorable benefit cost ratio), provided that data governance, technological continuity, and organizational adoption are ensured. Keywords.