The Future of Fashion: How Technology is Reshaping the Industry

As one of the biggest industries in the world, it’s surprising to learn that the way fashion operates today hasn't changed that much in the past twenty years. However, the rising concerns about fair wages, pollution, as well as the need to satisfy the hyper-connected consumers of today, have given way to new exciting technologies. As this trend continues to rise, it makes less and less sense for companies and brands to keep producing large quantities of apparel, months in advance, with no certainty of how well it will sell. In today’s article, we explore some of the top tech advancements being used in fashion today.

1. AI Fashion Designer

AI in the fashion industry

You have definitely come across chatbots and touchscreens in stores to improve customer experience and customized product suggestions. Nowadays, it’s almost impossible to head to a fashion brand’s website and not find some form of AI chat technology that’s being used to help enhance the customer experience. The technology behind AI includes algorithms that track customers journeys to match them with the right products.

Furthermore, trend forecasting is typically labor-intensive, involving manual or digital observation and data collection from fashion designers and influencers. However, Fashion brands are reshaping their approach to product design and development by predicting what customers will want to wear next. By harnessing data directly from users, brands like Finery and StitchFix can have fast, easy access to information that helps them plan the styles people will love and know what quantities to manufacture.

Taking it a step further, technology is also automating the fashion design process. Google has already explored the field of user-driven AI fashion design with Project Muze, an experiment it deployed in partnership with Germany-based fashion platform Zalando in 2016. Of course, the outcomes of AI design aren’t always stellar, but nevertheless, the gap between AI-developed designs and human-made ones is closing. AI Software can now use deep learning to produce original designs drawn from images, themes, and keywords imported by human designers.

2. Sustainable Materials