Big Fashion joins Big Data: How the fashion industry benefits from Big Data

Introduction

The fashion industry benefits from the big date in an important way. See how data and technology come together to make customers more stylish.

Many of the readers are not in the fashion industry. However, those involved in the Big Data industry should note the $ 2.4 billion fashion industry; an industry that has experienced an annual growth rate of 5.5-7% in the last decade. Big Data is tapping into aspects of the industry that go from design to resale. In addition, most people in the world connect with fashion on one level or another and with styles that fit their individual expressions.

Among the real estate, construction and manufacturing industries, the retail industry has historically been the slowest in adopting technological advances. It was Amazon who entered the game and began to make great strides employing such things as machine learning and artificial intelligence. Even the older brands began to pay attention to Amazon's disruption.

Countless industries have jumped to the Big Data band for years and the fashion industry is the last to do it as well. Big Data's compatibility with the fashion industry is based on three key aspects: extremely high data volumes, reliability and variety. The greater the volume of data generated, the greater the quality of data assimilated by Big Data technology.

The failures in traditional retail analysis

Fashion houses and traditional brands collect crucial data, such as inventory details and sales records; they were strictly kept in the company. This devotion to the dark caused those working in the industry to do so in a proverbial silo, which made many of the colours, styles, settings, and other design metrics become scattered and unstructured data. In addition, the industry had no crucial pieces of the puzzle, such as competitive analysis, prospects, trends, prices and other vital details.

Big Data and Fashion Quality Control

Pattern recognition [1] (not to be confused with image recognition) is a subset of artificial intelligence. Combined with Big Data, pattern recognition is being used by companies to protect the integrity of their brands. The integrity of the brand is not only maintained through quality control but also through the struggle to prevent counterfeiters from spreading the replica's fashion.

In 2017, the Office of the United States Trade Representative published its Annual List of Notary Markets in which it stated: "Imports of counterfeit and pirated physical products are estimated at about half a billion dollars or about 2.5 percent global imports ". New technology companies are approaching to solve a problem that has affected the fashion industry for generations: counterfeit goods and pirated goods.

From fake Rolex watches to replicas of Gucci clothing, as well as anything and everything in between can be found at online retail giants like eBay, Amazon and Alibaba. Kim Smith, a content marketer at Good Firms, a software research and analysis platform, said, "Fake has been around for a long time, but with the latest technology available and small details that can be replicated, it's on the rise. Anything can be fake, from luxury products to businesses and consumers, to videos and audio ".

The World Health Organization (WHO) has reported that approximately 10% of medical products sold in underdeveloped or developing countries are counterfeit and of poor quality. Some experts believe the percentage is much higher. And while it is difficult to measure the exact impact, a study conducted by the University of Edinburgh and commissioned by the WHO has found that counterfeit or substandard medicines are directly responsible for tens of thousands of deaths each year.

Big Data, Artificial Intelligence and New Fashion Trends.

Finally, the fashion industry, like many other industries, has faced the possibility that machine learning and artificial intelligence replace human designers. And while artificial intelligence robots have not yet taken the place of Giorgio Armani, technologies like IBM Cognitive Prints are helping designers with their new ideas.

Priyanka Agrawal, an IBM Research India researcher, said in an interview: "Fashion designers are working hard to create new designs that can create trends.

"In addition, they have inspirations like architecture or technology, which they intend to translate into their work." However, it is increasingly difficult to do something new and interesting; we wanted to make it easier for them to increase the design life cycle.

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