Influencia del big data en las capacidades exportadoras de chaquetas de cuero térmicas hacia Nueva York

Abstract

The essay analyzes the influence of Big Data on the export capabilities of thermal leather jackets produced in Machala, Ecuador, destined for the New York market. It posits that the strategic integration of this technology can transform SME export management by enhancing trend identification, logistics optimization, and decision-making processes. When combined with Artificial Intelligence and Machine Learning, Big Data enhances market analysis by enabling the discovery of opportunities in alternative markets and anticipating changes in demand. Cases such as Netflix, Uber, and Pronaca illustrate how data analytics can strengthen competitiveness. In the export sector, these tools can personalize products, anticipate risks, and optimize logistics routes, leading to cost and operational time reductions exceeding 90%. The study also identifies several challenges, including a lack of technical training, limited financial resources, and resistance to change within SMEs. However, there is strong business receptivity (83.33% of respondents) toward the use of Big Data, which opens up significant opportunities for the digital transformation of the sector. Moreover, public-private collaboration and expert support are emerging as key factors in overcoming barriers and ensuring the sustainability of these practices. In conclusion, Big Data is presented as a vital component in strengthening the international competitiveness of traditional value-added products. Its implementation will enable Ecuadorian SMEs to better adapt to the demands of sophisticated markets such as New York, thereby consolidating strategic advantages in efficiency, innovation, and differentiation.