CACTO: Sistema de monitoramento de veículos de carga

Abstract

The increasing volume of goods in transit within the state of Paraíba, coupled with the growing sophistication of tax evasion strategies, has driven the need for technological solutions to modernize tax enforcement. In this context, the CACTO System (Online Control and Monitoring of Goods in Transit), developed by the State Treasury Department of Paraíba (SEFAZ-PB) in partnership with the Federal University of Paraíba (UFPB) and the Paraíba Foundation for Education, Technology and Culture (FUNETEC-PB), stands out as a strategic tool for monitoring freight vehicles. The system processes large volumes of data from license plate recognition and electronic tax documents to automatically generate inspection alerts based on business rules. This study aims to analyze CACTO's architecture, operational workflows, and criteria for alert generation and handling, based on official technical documentation and a systematization of its main features. The goal is to demonstrate how this web-based platform applies big data concepts to combat tax evasion and support decision-making. Criteria such as alert coverage, system stability in real-world environments, and the quality of implemented fixes were evaluated. The findings point to improvements in failure traceability and technical reliability, despite the system still being under active development.