This is how artificial intelligence is transforming the fashion business world
Many Scientifics like Andrew NG affirm that artificial intelligence is “the greatest breakthrough since the implementation of electricity 100 years ago”; a revolution that is not leaving any field behind because this technology represents an important boost to productivity and a disruptive element that affects both the economy and society.
The global apparel market is valued at 3 trillion dollars and accounts for 2 percent of the world’s Gross Domestic Product (GDP), a strategic area that has been experiencing a genuine technological revolution over the last few years. Computer vision is changing the fashion world for both the designers, sellers, and for those who dress and buy clothing.
More and more brands and retailers are investing in the integration of AI Solutions to forecast trends, suggest looks and find clothing items; breakthroughs that allow them to obtain better results in regards to productivity, data analysis, and customer service. According to several investigations, in 2020, half of all enterprises will use some tools that apply Artificial Intelligence.
Most of Artificial Intelligence’s success, particularly in the fashion industry, is based on the use of deep learning for image recognition. This is the area in which Wide Eyes Technologies, which has developed one of the most cutting-edge technologies for B2B clients available through API, focuses on.
Fashion Visual Recognition: the beginning of a revolution called Artificial Intelligence
“I want it, I buy it” It’s as simple and intuitive as that. The Systems of fashion visual recognition give effective and prompt answers to customers; and new way to access to fashion products. For customers, these systems offer a new way to discover fashion by building your image from your clothing in order to speed up the clothing purchase process.
Systems of computer vision like the ones used by Wide Eyes Technologies allow finding similar products to those in an image in a quicker and more precise way than if you search it using words. This is because people tend to describe the same piece using different words, while the usage of artificial intelligence allows automation and specification for future searches, the way the products are described and labeled.
However, beyond looking for pieces, these systems of computer vision combined with “deep learning” techniques can work as style consultants or personal shoppers. They give advice about how and what pieces can combine with the product we are looking to buy according to the brand style, current trends or look and purchase user history. It also suggests similar products to those selected by the customer, but with different nuances that can allow them find a more consistent item or overcome the frustration of having found the item you were looking for that was unavailable in stock or size.
These kinds of services, which are offered by many fashion companies on their online and physical stores through interactive whiteboards located inside the fitting rooms, are practical for customers and very cost-effective for enterprises.
Can an algorithm forecast the next year fashion trends?
Analyzing the way a million people dress up through images on the internet and social media identifies clothing patterns in certain places around the world. By looking on online store catalogs for similar items to those in the images, suggesting garment combinations according to the style or customer appearance, or forecasting which items will be on trend according to customer searches and purchases are some of the facts that the systems of artificial intelligence focused on that image recognition allows.
Image recognition (computer vision) combined with big data is also being used to record fashion trends and predict sales. There are companies that use the AI Solutions of Wide Eyes Technologies to filter images circulating in blogs and social media, retrieving characteristics and comparing them with each other in order to extract patterns of trends on the street. Once this information is transformed into big data, it can be crossed with another one (like the most searched and purchased items data), to search in terms of location, age, gender, or any other type of preference. These kinds of analyses are also used to adjust production, design, and manufacturing to put products related to the current trends on the market, while adjusting the stock in-store and improving advertising campaigns.
In this way, there is no doubt that the revolution leading the application of artificial intelligence in the fashion world seems more that encouraging, and this is just the beginning.