Tech Trends & Predictions in Fashion Industry

Technology changes are happening at a swift pace, and the growth it is showing is exponential. If we can think of the time between the appearance of the first PC and the first laptop, we can see that these are inevitable advances. 

Technology and its development influence everyone and everything. Since things are becoming smaller, faster, and cheaper, they are showing a knock-on effect on the world and the fashion industry.

The following years will help us understand what companies are working on, or we can at least assume what the future holds for the fashion industry when talking about technology trends and the changes that these will bring.

Hyper-Personalized model

Fashion brands are increasingly choosing to use personalization to create new designs and offer custom options to their customers. Additive manufacturing is reaching its peak. It allows companies to adapt to what consumers want and need and contribute to developing sustainable and eco-friendly solutions that can be used in the fashion industry. Print-on-demand clothing has recently gained popularity since this kind of production allows a customer to be a part of the design process, place their order, and get a speedy delivery of their unique and original product. On the other side, we have startups that are also developing fashion gaming solutions to enhance personalization, engage younger consumers even more, and offer virtual fashion assets and physical clothes that can be bought.

Introduction of Artificial intelligence

Over the previous few years, brands started using AI to improve customers’ shopping experience, help with data analysis, increase sales, predict trends, and offer inventory-related services.

Stores started using chatbots and touchscreens to get better customer experience and customized product suggestions. It’s now near impossible to visit a fashion brand’s website without finding some AI chat technology to help improve the customer experience. This is how technology is changing the fashion industry at a very rapid pace. And it all comes down to this; AI technology includes algorithms for tracking customers’ journeys and trying to match them with particular products.

Sustainability in Fashion

The carbon-neutral fashion industry is the final aim, so startups are working on developing circular fashion choices. Solutions like these can produce clothes using recycled materials and eco-fabrics, and in that way, give an offer to brands and customers to have an alternative to environmentally harmful fast-production clothes. Another way to do it is to repurpose waste after consumers’ usage or pieces worn out into new items. Vegan leather and different engineered materials can offer sustainable solutions for conventional materials. So working on your brand’s sustainability nowadays is one of the ways how you can build a profitable fashion business.

Metaverse as the universe of future fashion

The ‘metaverse’ represents a digital kingdom founded on an interconnected ecosystem and will offer many digital fashion opportunities in the fashion industry. During the following year, there will probably be many metaverse platforms that possess their economies and can transport assets and objects correlating the metaverse and one’s world. In addition, the enterprises will try to include reality into the metaverse, doing more than just having virtual showrooms. For the metaverse concept, there are predictions that it will expand dramatically, impacting all corporate activities, including the gaming industry and the real estate world.

 Smart Fabrics and Clothes

Many startups started launching intelligent garments to satisfy the need for adaptable clothes. The aim is to collect, store, and exchange a person’s biometric and physical data. This is how applications for health and fitness are enabled and how performance can be improved. Furthermore, intelligent clothes can also be used to improve worker safety, for example, by working on regulating the temperature to what the user needs in an environment that is considered unstable.

Fast pace Data Analysis to Quick Adapt

Fast pace data analysis, so that you can have quick adaptation, is how businesses can quickly adapt the business fragments (supply chain, for example) when using significant amounts of data to support this adaption. For instance, with new software tools available on the market, fashion brands and factories can now get real-time feedback or alerts from different companies about certain defects or damaged goods. This can help save money, work on eliminating waste, and deliver products at the right time. It also allows companies to maximize customer satisfaction while recognizing what potential business threats there can be.

The fashion industry has changed so much in the past decade, but the most significant change is technology, striving to make the world safer and better.