SIZFF – Boyacá: Sistema de Inteligencia para Zonas Francas Ferroviarias, Plan de Mejora para la Optimización de Costos Logísticos en el Transporte Ferroviario de Arándanos, Mediante un Sistema de Inteligencia con Google Gemini

Abstract

The SIZFF-Boyacá project, an Intelligence System for Railway Free Zones, focuses on the cost analysis for blueberry transport. The problem it seeks to solve is how Boyacá can leverage its existing railway infrastructure, supported by automation and artificial intelligence technologies, to strengthen its logistical and economic competitiveness. The objective is to design a technological proposal that uses Google Gemini AI to optimize railway transport of blueberries, prioritizing cost reduction. The project's justification highlights that railway transport is a viable alternative for mobilizing large volumes of goods, which allows for reducing logistical costs and increasing operational stability. With the implementation of intelligent refrigerated wagons using Gemini for cold chain automation, a reduction in logistical costs per ton of up to 52% is projected in comparison with road transport. The cost of railway transport (COP 120 per ton-kilometer) is significantly lower than road transport (COP 250 per ton-kilometer) (MinTransporte, 2023). It is estimated that the project will achieve savings of between 15% and 26% compared to road transport. In conclusion, it is recommended to consolidate strategic alliances with key players such as Acerías Paz del Río and the ANI to promote the operation of the railway corridor. The project is scalable and seeks to consolidate Boyacá as a logistics hub for blueberry exports. Keywords: Railway transport, Blueberries, Gemini AI, Cold chain automation, Logistical cost optimization