INTELLIGENT AUTOMATION IN BRAZILIAN FOREIGN TRADE: A STUDY ON THE USES OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN THE EXPORT PROCESS

Abstract

This article aims to analyze intelligent automation in foreign trade and its impacts on the export process, with emphasis on the application of Artificial Intelligence (AI) and Machine Learning. Brazilian foreign trade stands out as a fundamental strategy for expanding companies’ presence in the global market, requiring a high level of technical and organizational capacity, as well as compliance with international regulations. In this context, the advancement of digital technologies has promoted profound transformations in import and export processes, making them safer, more efficient, and more agile. The use of AI-based tools enables task automation, reduction of operational costs, and improvement of the ability to analyze and predict international market trends. Thus, the study proposes a reflection on the role of technological evolution as a driving factor for the growth of international trade, especially through intelligent automation. The results indicate that AI is perceived as essential for agility and error reduction, although the sector points to high implementation costs and the need for skilled labor as the main challenges to its consolidation.