How AI is Changing Fashion
Wearing clothes is not just a human need, but also a chance to show off their style, appearance, personality, and luxurious lifestyle. The apparel industry is one of the largest in the world with a market value of US$ 3 trillion as of 2020.
Everyone wants to develop a style and follow trends, but not many people are unskilled in making the right decision when it comes to the outfit choice.
So, what’s the best way to achieve that?
Fashion Tech is a rapidly developing energetic ecosystem, that is currently nurtured by accelerators and incubators.
Well, now let's discuss Style Assist, an app that helps consumers manage their wardrobe and satisfy their daily outfit needs through personalized recommendations and personal stylists consults
The App provides a closet organization tool where we can add the clothes from their wardrobe based on which Artificial Intelligence can recommend what best you can wear for the day or any occasion.
The app also lets you connect to the stylists, book appointments, view their portfolio, and projects.
“Can AI really become my fashion designer?”
AI will transform the design skills and improve the product development strategy.
Digital fashion industry leaders are already using AI to increase their design skills and enhance their product development processes. AI tools enable companies to understand in much richer detail, through consumer data, which product features their customers are likely to prefer.
Moreover, the use of AI in fashion also enables each of us to find those perfect outfits that suit our body type and fashion preferences.
StyleAssists is an AI-based personal stylist, utilizing Computer Vision and 3D Reconstruction technology
Application of AI in fashion
Conversational Virtual Assistants
Enhanced chatbots and digital stylists, Customers can now chat with these virtual assistants to get fashion advice, find the perfect outfit for an event, get the right fit based on their personal choices, or choose the preferred delivery method.
AI assistance on Smart Mirrors
AI-powered smart mirrors are used by retail stores thereby simplifying the customer ’s shopping experience with virtual cloth visualization of how they fit/suit you, even without actually trying it on.
In addition, using facial recognition technology, it can retrieve past styles for each client, allowing the stylist and the client to really evaluate what worked and what didn’t work.
Also important, the mirror provides a curated feed of content with trendy styles, and classic looks help motivate stylists and clients when they try to find a new look.
AI application for eCommerce
AI in eCommerce is influencing customer choices. Thanks to its knowledge of previous purchases, searched products, and online browsing habits.
Know your visitors
Show highest rated items in product recommendations
Alert viewers for products that have been updated
Show “Related to items you’ve seen”Suggestion
“Featured Recommendation” and “Recently Viewed”
Display a list of suggested products based on a visitor’s browsing history
While browsing fashion items on e-commerce sites, AI advises other similar items, depending on your color preference, budget, and other attributes.
Machine learning technology is used to analyze your filtering behavior and what kind of products you ‘re looking for.
AI in Fashion Retail
Artificial intelligence is reshaping the retail sector at a rapid rate, Retailers use AI to collect, organize, analyze and sort data into useful classifications, which can then be used to predict and understand what their consumers are searching for — and to deliver.AI could assist brands and retailers with predictive forecasting, capacity planning and merchandising. This means that consumers can enjoy rewards for quality product availability, quicker and more effective deliveries.
AI in Inventory Management
Most fashion companies today recognize the value of a well-organized supply chain and inventory management. It is where AI-based resource management systems come into the rescue. Such systems recognize the pace of sales, the many time's global sales, and provide insight into what is selling and how quick it is. Most specifically, they help to make decisions on inventory management across industries — ensuring that the best product is available on the right market.
For sized products For items of size, such as shoes and clothing, these smart platforms provide a market-wise recommendation in terms of size to ensure that the appropriate range of sizes is available in the applicable markets. AI systems can be taught about the regional color, design, and material tastes of customers — and then evolving knowledge trends can be used to make smart supply chain decisions.
