Introduction
Fashion has been at forefront of innovation since the inventions of the sewing machine and the rise of ecommerce. Fashion, like tech, is forward-looking. Fashion technology refers to any cutting-edge technology used in the development of cutting-edge tools for fashion industries, regardless of whether they are to increase production or decrease consumption.
The technology's function will determine whether it can be used by designers, manufacturers or merchants. We can expect fashion tech to become more mainstream as new technologies become available.
Fashion Industry Impact of AI
These issues and concerns still exist in traditional garment industries. AI is needed to automate, innovate and reinvent business activities, such as cloth design, trend spotting, cloth designing, manufacturing, transport, retailing, selling, and transportation. These are the top ways artificial intelligence can transform fashion's future.
Apparel designing
Fashion firms of all sizes, and in every specialty, are using technology to better serve their clients. Fashion houses are using technology to better understand clients' needs and produce better clothes thanks to sophisticated data collection.
AI-powered fashion design uses the customer's preferences for colors, textures and other styling elements. Brands cannot rely on AI-only designer without further research and development. Brands can already use artificial intelligence to help them create and iterate their designs. Artificial intelligence is changing how we dress.
Recommendations on Size
3D scanning is being used in fashion to analyze the body and provide recommendations for sizing using virtual trial rooms with good examples of indian fashion websites like MYNTRA and MEESHO which uses Video Dataset for collecting data foe size, design and other segments. This is due in part to the fact that the specifications for clothing and the accompanying measurements can vary widely from one brand. This means that buyers often order and return multiple sizes of an item of clothing, which can reduce online sellers' earnings. Fashion industry is looking for ways to help buyers determine the correct size. This results in fewer returns.
The 3D avatar reproduces your body's exact measurements. The 3D avatar automatically provides personalized and accurate fit assistance. This is vital for online shopping, as it helps to improve the customer experience and reduce product returns. Size recommendation uses AI-powered technology that matches consumers' body shapes with garment SKUs. This allows them choose the best size to fit them.
Manufacturing & Supply Chain Process
With the help of AI and machine learning, fashion brands are now better equipped to spot fast-changing fashion trends. They can also get the latest fashion accessories on store shelves quicker than traditional shops.
AI can also be used to help reduce shipping and inventory costs. Through reinforcement learning, computers can be trained to adopt different behavior based upon the best decision for the situation. AI can be used to estimate the product amount required for an order, and analyze inventory levels in stores using historical sales data.
Virtual Mirrors
Virtual mirrors combine computer vision with augmented reality technology. This allows users to try different outfits in various sizes and colors without needing to alter or use the fitting room. When a customer scans the code for a clothing item, the virtual mirror displays an image of the person wearing the outfit. Virtual mirrors are able to recognize gestures and can also be used as virtual carts.
Image recognition (AI) technology, which can analyze clothing pieces and generate images of that garment on any person regardless of size, shape or shoe type, can be used in conjunction with augmented realities. Many companies have already started to experiment with smart fitting rooms that allow customers to see themselves in their clothes and then swap for other styles.
Shopping personalized
AI can be used to drive growth by using customer data and creating a personalized shopping experience and various other Dataset For Machine Learning models. AI can assist computers in identifying images and recommending products online that are more likely for customers to buy.
Customers are able to shop online for clothes and take photos using AI-powered personal styling apps. These images can be used as inputs by the app to help find the best style that suits the customer's body, complexion, and style. It also keeps up with current fashion trends. With the help of high-quality Data Annotation Services, computer vision-based artificial intelligence models can make it a reality.
Visual Product Discovery
Visual search is another AI used to identify fashion trends. It makes it easy for shoppers find the items they are looking for and then purchase them. The majority of buyers just need to snap a photo of the items they desire and submit it. AI will then recognize the item or similar products across many websites and merchants.
It is not uncommon for people to stumble across something new, but when they try to find it online, it is often impossible to find it. For fashion sellers to be able to use visual search to make their products easier discoverable, they should ensure that images of their products are high-quality and current.
Data Annotation for Fashion AI
While AI cannot replace people completely, it will be able leverage insights into customer preferences to align supply and demand, provide a personalized customer experience and push all of the way up the supply chain to produce superior products. It is also important to have high-quality machine learning data in order to improve AI performance. More data can be added into the model to provide more accurate predictions in real life settings. A second problem facing AI startups is the generation of relevant training data. However, data-labeling agencies like Global Technology Solutions (GTS) are available to help AI firms develop more sophisticated systems for the fashion or retail industries.
GTS collaborates with industry leaders to create training datasets, annotations, and other data along with OCR Datasets for fashion AI. Our expertise, knowledge, and proprietary tools allow us to meet the needs of any computer vision task. The precise tagging of thousands of clothing items requires the help of professional annotators. GTS is able to ensure that your information accurately captures today's fashion trends by using labeling techniques such a Bounding box, polygon, and semantic segmentation.
