Big data set that helps to explore trends, patterns, and associations play a major role in the fashion industry. Thus, with structured or unstructured data one can separate it into categories or groups. As well as one can also analyze that data and form a definition for recent patterns and trends in the fashion industry. Thus, upon integration, one can get new ideas, styles, patterns, and shapes. Therefore, these new ideas and trends are beneficial for the future of the fashion industry.
Applications of Big Data in the Fashion Industry
As we know, current trends and fashion are social. In this digital era, innovative styles and trends have taken into the number of social media platforms. Nowadays, people mostly prefer online platforms to select their clothes and fashion styles. Thus, nearly 70% of the world is now being digitized. Hence, many digital platforms are growing with tweets, comments, likes, LinkedIn shares, pins, Instagram, and several fashion portals. As many people put their innovative ideas, concepts, and thoughts about trending fashion.
How social media comments are advantageous for the Fashion Industry
In recent years, fashion shows are uploaded live on social media apps such as Twitter, Pinterest, YouTube, and Facebook. Thus, people also post their views, comments, likes, and opinions related to trending attire. That’s why it is helpful for the fashion industry to know consumer preferences, and know their target audience.
Role of Big Data in the Fashion Sector
Despite offering relevant data about fashion trends, Big Data offers an outstanding opportunity to engage people. Thus, the top fashion trends use consumer’s likes and comments. Vendors highly motivate consumer’s strong support to improve product styles and new ideas.
Big Data Analytics
In this modern arena, technology vendors play a crucial role in the digitalizing fashion industry. Thus, Big Data analytics of leading vendors can leverage the knowledge of innovative ideas and new trends.