Leonardo Mejia

Textile companies in emerging markets often struggle with limited analytical tools and manual processes for monitoring competitors and defining pricing strategies, which reduces their ability to react quickly in dynamic markets. At the same time, there is a lack of empirical studies that integrate big data, competitive intelligence (CI), and decision support systems (DSS) in low-tech industries such as textiles. Addressing these gaps, this article develops and empirically validates a big data–based competitive intelligence platform, applied to the sportswear segment. The methodology consists of a practical case study, applying and testing the technological solution in a leading Brazilian company and its direct competitors. The solution uses web scraping, Apache Spark, SQL Server, and data visualization through Power BI. Validation shows that the platform significantly enhances agility in strategic decision making, providing real-time information on competitor behavior with efficiency superior to manual methods. The analysis reveals distinct competitive strategies among market participants and confirms the replicability of the model in several industrial contexts. Theoretically, the study contributes to the integration of big data, CI, and strategic pricing, while from a managerial perspective it proposes a scalable framework for digital transformation and increased analytical maturity in traditionally less digitized sectors.

Purpose - this study aimed to identify the wearable technologies applied in textiles for the military industry. Methodology/approach - systematic literature review, in which 62 articles were analyzed. Findings - As a result, the use of emerging technologies and innovations in the field of wearable textiles applied to the military industry was observed, including new materials, advanced sensors, communication systems, and functionality integration. However, the disadvantages indicated that the most vulnerable points for implementing this technology were related to data security, investment cost, system reliability, and sustainability. Research limitations/implications – The article analyzed only journal publications and not yet patent databases. Practical implications - Wearable textiles, also known as e-textiles, represent an innovative category of electronic devices integrated into fabric, offering a variety of functionalities ranging from health monitoring to communication and sensing. When applied to the military industry, such devices can enhance the operations and performance of soldiers in the field. Originality/value – Roadmapping of technologies related to wearables in the military industry, offering insights to researchers, professionals and decision-makers interested in this rapidly evolving field. Identifying existing problems and solutions encourages the development of innovations in this area, which is also related to transportation, health, textiles and security; as well as researchers and countries that are references in this area.

Anais do Congresso Brasileiro Interdisciplinar em Ciência e Tecnologia (2764-0582) - Têxteis Inteligente A Partir Da Utilização De Fibras Óticas