Top uses of AI in fashionAI can transform how designers want to look for image resources, explore more about the top uses of AI

Fashion brands utilizing ML and AI tools are presently capable of distinguishing quick-changing design patterns and supplying the most popular fashion accessories to retail shelves quicker than the customary fashion retailer. Thus, leading style brands like Zara, Top Shop, and H&M are faster in giving instant satisfaction to retail customers by perceiving seasonal demands and manufacturing the correct inventory of the latest apparel. Artificial intelligence likewise empowers visual search, a growing trend that is now being utilized in retail’s downstream advertising processes, as well as previously being utilized as a component of the extending PLM platforms that are presently supporting product design & development. It can transform how developers and designers will want to look for image resources. This article lists the top uses of AI in fashion. 

Manufacturing process

The implementation of AI tools is helping fashion brands to identify the changing and evolving trends and choices in the fashion industry, which allows them to change their shelves faster with newer and more in-demand products. Because of this, several biggest fashion brands, including H&M, Zara, and others, are gaining more sales and customer gratification by offering them trendy, seasonal fashion accessories. 

Inventory checks and Re-stocking

In malls and stores, AI cameras help in tracking the product that is out of stock. This can automatically notify the manufacturer about the shortage. To make it even more efficient, the function is built in such a way that they scan data to confirm whether the same product is lying in some other store and being sold so that it can be brought to another store. This reduces wasteful manufacturing and saves money. 

Application of Chatbots

Chatbots can interpret human language and are capable of coming up with answers to questions that have not been predefined. Nowadays, there are specialized chatbots available for fashion retail applications. This chatbot uses natural language processing (NLP) that makes it possible to tailor marketing activities such as linguistic context for example email, social media posts, customer services contacts, and product reviews. 

Clothing Detection

Clothing detection is one of the major applications of AI and computer vision technologies to develop efficient recommendation systems. Today, leading fashion brands are using image processing techniques along with augmented reality (AR) and virtual reality (VR) to bridge the gap between online and in-store shopping. With powerful AI algorithms backed by AR and VR, fashion brands can offer shoppers clothing recommendations through digital media. 

A Clothing Designer

The design and patterns with the proper color combination are the key factors to design a costume to make it attractive to the customers. So AI plays an important role here, which can detect new trends. Trends in the fashion industry change very rapidly with new designs or patterns which come every day in the market and designers need to keep pacing with new styles every time. Thus AI algorithms can understand designs through different images to copy popular styles. 

Personalized Recommendations

The AI is making the lives of fashion retailers easy by providing them sorted data as per the likes of the customers. Earlier, people would see the clothes and find out what works for them but now, we get recommendations of clothes that we might like. This is done by AI by carefully analyzing previous orders and finding out color, style, and size preferences.

Apparel designing

Leading fashion brands are exploiting Big Data technology to store, analyze and understand customers’ personalization needs for apparel. This enables them to design more in-demand apparel and maximize sales and profits. In collaboration with Google, Zalando (a German fashion platform) has been using AI-based fashion designing tools to meet customers’ personalization requirements on colors, textures, and other preferences.

Customer Experience Enhancement

Digital technologies are also enhancing customer experience in stores and malls. Nowadays, fashion luxury brands are using smart mirror technologies in combination with their physical stores. A smart mirror is a kind of two-way mirror with an electronic display behind it. They are computers enabled by a full stack of technology, starting from hardware with depth sensing to software equipped with advanced computer vision algorithms. The mirrors enable users not only to see how they look in a particular garment with different colors but also to change the type of clothing and make side-by-side comparisons of different outfits and accessories