Artificial intelligence was widely existing only in movies when most people were growing up. Rather than a myth, AI actually works and helps us in more ways than we could ever imagine. Even in the fashion industry, we human beings make mistakes on a daily basis. There can be missed stitches in the sewing or with the fabric that is cut wrong. This caused the manufacturing department frustration and disappointment. Artificial intelligence can help in these situations. With artificial intelligence and fashion, there is no doubt that this partnership will succeed for years to come.
As part of the various key divisions within this industry, artificial intelligence (AI) is transforming the fashion industry. The use of artificial intelligence is playing a big role in transforming the fashion industry. It has helped them from design to manufacturing to logistics and marketing.
A true AI-based solution, in the age of digitalization, is being provided to manufacturers by artificial intelligence (AI) based technologies. This helps them to harness the intelligence of AI into fashion and to discover the best options in their fields.
How is fashion changing with the help of AI?
Fashion has long been used to express individuality by humans since the invention of clothing. It is one way to achieve that purpose. As of 2018, the fashion industry accounted for 2 percent of global GDP. It is one of the largest in the world. Clothing and fashion items account for a huge percentage of traditional retail and online e-commerce.
Amazon purchased shoe retailer Zappos for $1 Billion in 2010. Major retailers such as Walmart, Target, and Amazon have acquired their own footwear brands.
AI is transforming fashion companies manufacturing processes as well as marketing and sales of their products fundamentally, in spite of the industry’s established nature. Every element of the fashion value chain is transforming as a result of artificial intelligence.
Promoting and selling fashion goods with artificial intelligence
As much as it is about manufacturing fashion products, the fashion industry is about creating demand and brand awareness. It is of vital importance to clothing and apparel brands to find new and effective ways of getting their goods in front of buyers and creating awareness. The use of artificial intelligence and machine learning by fashion brands is on the rise as a means of improving users’ shopping experiences, automating sales processes with intelligent automation, and enhancing the sales process with predictive analytics and guided sales.
With chatbots and voice assistants, fashion brands now use devices like Amazon Alexa, Apple Siri, Google Home, and Microsoft Cortana. This helps to bridge the gap between consumers and brands. In order to gather information from customers, fashion brands can use conversational interfaces, such as asking questions.
They also opt for learning more about customer desires, and suggesting related and add-on items. A customer can have a conversation with an intelligent conversational agent instead of using a website or mobile app to order something. Customers can find the most appropriate fashion item and accessory by having back and forth dialogue. Fashion brands gain significant information and customer satisfaction from such interactions.
AI is also becoming a key component of ecommerce and mobile applications in addition to conversational systems. Smart image recognition systems are able to match photos of clothes to real life items available for purchase. This helps customers can take pictures of clothing they like or styles they want to emulate. In addition, AI-driven shopping apps enable customers to take screenshots of clothing they see online. They can also identify shoppable clothing and accessories within the picture, and find similar items for the exact same outfit.
Design and manufacturing of fashion with artificial intelligence
According to a documentary called “Minimalism”, clothing can have as many as 52 seasons. Because fashion and design constantly change, retailers need to accurately predict next season’s consumer preferences. Data from the prior year is essential to estimate sales for the current year. The sales of a product can be affected by many factors, such as changing trends. With artificial intelligence-based forecasting, however, errors can be reduced by as much as 50%.
Fashion manufacturers to boost manufacturing efficiency and complement human workers use artificial intelligence (AI). Machine learning algorithms are now being used to spot defects in fabrics and make sure the finished textile’s colors match the original design. Quality assurance processes are becoming more efficient as a result of AI technology, such as computer vision technologies.
Machine Learning and AI in fashion
In the past, ecommerce giants such as Amazon and Walmart used machine learning algorithms to detect sales trends, but now, small retailers are also using the technology to determine how to succeed in this dynamic market. Additionally, intelligent, AI-enabled systems can provide greater insight into fashion trends, purchasing patterns, and inventory management for fashion brands by identifying patterns and performing predictive analytics.
The online personal styling service Stitch Fix is a company at the forefront of applying AI to fashion. To improve customer service and improve supply chain efficiency, the company uses machine learning algorithms. In addition to expediting logistics, machine learning tools improve supply chain efficiency.
As a tool for spotting fakes and counterfeits, computer vision on machine learning is helpful. A specialized customs officer or law enforcement officer was previously required to detect fakes. Artificial intelligence systems can now keep a consistent watch on counterfeit goods In comparison with real ones, they look increasingly similar. Customs and border enforcement departments are utilizing AI to verify the validity of high-end products such as sunglasses and handbags, that is frequently counterfeited.
From the design process and manufacturing processes, to sales and marketing of finished products, AI technologies may add value to every aspect of the fashion industry. Fashion will definitely be intelligent in the future.
Changing Fashion Trends
We have known for years that the fashion industry is one of the highest-paying industries in the world. People wear cloths every day, and they want the best styles. Intelligent machines will not only make factories and shelves more efficient, but it will also make everything better. Artificial intelligence helps companies gain insight into what customers like and dislike, and ensure the customer gets what he or she wants. The fashion industry is predicted to grow to 7.3 billion dollars by 2022 as a result of artificial intelligence. Companies will be able to generate more sales by being able to predict accurate fashion trends as well as create new looks. Customer satisfaction is key, and AI helps deliver exactly what the customer wants or helps the customer determine what they want. The consumer leaves happy and returns again and again every season to update his or her seasonal wardrobe.
Personalised Recommendations
Per-region personalisation
Artificial intelligence can customise recommendations to show different results depending on the region a retailer operates in. Different geographical locations have significantly different preferences, trends, and style identities.
Retailers can tailor the definition of a ‘region’ according to their own regional strategies.
Retailers might consider Europe and Asia macroregions, for example. During the same time, another retailer might want to tailor results further by micro-region within Europe for displaying different recommendations in Northern Europe, Central Europe and Southern Europe.
Segmentation of personalization by customer
The retailer can offer tailored recommendations tailored to each segment of their customer base.
Additionally, AI allows retailers to target different segments of customers based on their strategic goals. If a customer segment is more interested in upselling than cross-selling, an upselling recommendation may make more sense, and vice versa.
Retailers can use AI to reach their business objectives on a segment-by-segment basis by combining different identity data with different strategic business goals.
Key takeaways
A continuous integration of artificial intelligence into fashion retailers’ omnichannel customer journeys enables them to better address each customer pain point and differentiate themselves from the competition.
As with finding the perfect suit, integrating AI into a fashion trends will require a tailored application. One size does not fit all.
When fashion retailers use AI as Augmented Intelligence to supercharge their existing business model, they’ll scale their resources, amplify their core strengths, and use data-driven insight to overcome their weaknesses and increase their penetration. A business that increases market share and revenue while reducing operational costs becomes more profitable.
