The use of artificial intelligence in business has profoundly altered the way business is conducted. Numerous industries have utilized this technology, including finance, healthcare, education, and transportation. Moreover, AI can be found in a wide range of fields. Recently, it was applied to the fashion industry. Additionally, Fashion is now collaborating with science, technology, and engineering to create new experiences for consumers.
Fashion brands using ML and AI tools are presently able to identify quick-changing design patterns. By doing so they can quickly deliver the most popular fashion accessories to shoppers. Thus, leading fashion brands such as Zara, Top Shop, and H&M offer instant satisfaction to retail customers through seasonal demands. They are also producing correct quantities of them. Artificial intelligence is also enabling visual search. This is a growing trend that is being utilized in downstream advertising processes in retail. This was previously incorporated into product design and development platforms. These developments are likely to transform the way designers and developers access image resources. Here are some of the ways AI is being utilized in fashion.
Why AI in Fashion World
Let us first examine why fashion is so important to us. Our fashion requirements are constantly evolving in order to enhance the beauty standards of our society. The worldwide apparel industry accounted for 2.5% of the world’s Gross Domestic Product (GDP) in 2014. Clearly, this information indicates that fashion is a significant industry that affects the global economy in a significant way.
Recent artificial intelligence technologies, such as machine learning and computer vision, have become increasingly influential in our approach to fashion. These technologies can even recommend items that reflect our sense of style and our tastes. Moreover, AI has enabled consumers to live more comfortably, from recommendation systems to virtual assistants. We are therefore in need of AI in the fashion industry. Furthermore, leveraging AI in fashion offers fashion retailers a number of previously untapped opportunities. To learn more, let’s evaluate a few of the examples.
Machine Learning in Fashion retail-
Fashion retailers can use machine learning algorithms to process a large amount of data and thereby improve their understanding of consumer behavior. After analyzing customer data, retailers can make better decisions about product assortment, inventory management, marketing, and pricing. In addition, machine learning can be used to develop predictive models that forecast consumer demand. This information can help fashion retailers avoid stock-outs and overstocks.
Virtual Dressing Rooms-
Virtual dressing rooms is another potential application of AI in the fashion industry. These systems use computer vision to generate a three-dimensional (3D) model of the customer’s body. The customer can then try on different clothes without actually putting them on. This technology has the potential to revolutionize the way consumers shop for clothes.
Personalized Shopping Experiences-
Personalization is another area where AI can be used to improve the shopping experience for consumers. By leveraging data such as purchase history, browsing behavior, and demographic information, retailers can recommend products that are more likely to be of interest to the customer. In addition, retailers can use this information to provide a more customized shopping experience, such as showing different products depending on the time of day or location.
Smart Mirror
Smart mirrors are an innovative technology that allows users to try on clothing without taking them off. The smart mirror provides a mix and match recommendation within the store based on AI. With the aid of the technology, customers can recognize the color, style and attributes of a particular fashion item picked up by them. In order to achieve this result, we use a combination of machine learning and human fashion experts.
Using this application, we can change the color, patterns and accessories immediately. We can also add accessories and see a 360-degree view with just one gesture. Mirror images provide an impression of oneself wearing the chosen clothing as they reflect the reflected image. As a consequence, it can help consumers make the right decision and prevent them from returning the product for a more appropriate option after having made their selection.
Virtual Eye Wears
In the past, the only way to purchase eyewear was to go to the shop directly. These days, technology has made it possible to test eyewear without leaving the comfort of one’s own home. A number of companies have begun developing augmented reality platforms, such as lens kart. Thus, the Lenskart application and website both facilitate 3D try-on. Here is a brief overview of how Lens Kart can assist you.
Lens kart accomplishes this by using our camera. In order to capture our faces from multiple angles, an onscreen prompt directs us to look left and right. When we select an image, it will display a preview of how it will appear. By swiping on this image, we are able to turn our head to the left and right in order to see the glasses from a variety of angles. Choosing the goggles that fit our faces perfectly is much easier now.
In this case, they are using artificial Intelligence. Essentially, using artificial intelligence, it analyses and creates a 3-dimensional structure of our faces on which we can try them on. If you’d like, we can record these try-on sessions so you have a record of what options you try on and share it with your friends.
Automation in Apparel Manufacturing
In the world of today, the apparel industry is one of the most globalized industries. Therefore, to improve the industry, we need to automate the process in a way that allows us to meet international standards in a short period of time.
Labor-intensive processes are employed in the clothing manufacturing industry. There are a variety of tasks that one can perform ranging from simple sewing to complex difficult jobs. Each one can be time-consuming and monotonous. As automation becomes more prevalent in the fashion industry, it has the potential to increase productivity and to significantly improve the industry’s sustainability. An example of this is the use of sewing robots in the fashion industry.
Applicability of chatbots
Chatbots are capable of interpreting human language. Fashion retailers have started to take advantage of specialized chatbots designed for this purpose. The chatbot featured on this site uses natural language processing (NLP) that has the capability of tailoring marketing activities such as emails, social media posts, customer service contacts, and product reviews to the linguistic context of the customers.
Detection of clothing
Fashion brands are increasingly using AI to bridge the gap between online and in-store shopping. They do this by utilizing augmented reality (AR) or virtual realities (VR). Fashion retailers can offer shoppers digital media recommendations with help from algorithms that track customer behavior, as well as AR/VR technologies that let shoppers “try on” clothing virtually.
Some of the advantages that AI brings to the fashion industry are its ability to improve customer service, reduce costs, and speed up production times. In addition, AI can help fashion brands keep up with the latest trends and improve their inventory management. Some disadvantages of AI in fashion include the possibility
A Clothing Designer
In order to design a costume that is attractive to the customer, the design and pattern with the appropriate color combination is essential. That is why computers are able to detect new trends, and therefore AI has a significant role to play here. The fashion trends change very quickly in the fashion industry and new designs come out every day in the market. Hence, AI algorithms can understand designs through different images to emulate popular styles created by designers.
Customer Experience Enhancement
The use of digital technologies has also enhanced the customer experience in stores and malls. Today, fashion luxury brands are using smart mirror technologies in conjunction with their showrooms in order to assist clients with an optimal shopping experience. An electronic mirror is a type of two-way mirror with a display behind it that provides an electronic image of your surroundings. Computers, such as the National Robotics Institute’s (NRI) VisionLab, employ a full stack of technology, from hardware equipped with depth sensors to software comprising advanced algorithms for computer vision. As a result of the mirrors, users are able to see not only how they appear wearing a particular garment and how they change their color looking, but also to change the type of clothing, making comparisons side by side, and to experiment in different ways when it comes to different outfits and accessories.
Personalized Recommendations
By providing them with sorted data according to the likes of the customers, artificial intelligence is making the lives of fashion retailers a bit easier. There was a time when people would see the clothes and find out what worked for them, but nowadays, we get suggestions of clothes that we might like. In order to accomplish this, artificial intelligence analyzes previous orders in a specific manner in order to determine the color, style, and size preferences.
Final Verdict
To summarize, digital fashion leaders are using AI to improve their design skills and accelerate product development. At every point in the supply chain, smart technologies can make things quicker, cheaper, and more flexible. Ultimately, the fashion world itself will improve the shopping experience via better outcomes and analytics.
