How is the Fashion Industry getting more intelligent with AI?
One of the biggest industries in the world, like any other is the fashion industry covering a spectrum of activities like types of material, designing, manufacturing, logistics, and more. Artificial Intelligence Development Company lends a hand to ease textile assembling for employees and the whole manufacturing process.
As per the research, the fashion industry spends on artificial intelligence about 2 billion dollars until 2018.
We have witnessed some giants acquired fashion brands like Amazon acquired Zappos, a shoe retailer. The high recommendations of AI development services are a new domain of possibilities in the Fashion industry, from Data Analytics to Chatbots as your personal stylists. Even, Machine Learning characteristics are rising so fast in the apparel industry.
In this article, we understand how AI transformed steps throughout the process in 2019 and beyond.
What is Artificial Intelligence?
An area or branch of computer science that emphasizes to create smart machines that work the same as a human is Artificial Intelligence. Learning, planning, manipulation, voice recognition, and problem detecting are some of the features of AI.
You must have heard AI as a black box; whereby you have to feed data in it to get a favorable outcome. It comes with a lot of technical research that ends with knowledge engineering, and it is possible through abundant information available with it.
A core part of AI, Machine Learning helps to identify patterns and work in a loop by a stream of inputs. Robots, like the other core part of AI, ask for intelligence to manage object manipulation, navigation, mapping, and localization.
Artificial Intelligence Development Companies believe that a computer vision works as the clout to analyze input such as objects, gestures and facial recognition.
Why is AI needed?
In the industry like fashion, the foremost thing is visual designs. Click to purchase decision, happens after visualizing the product and comparing it with color, look, and material guide.
The traditional ecosystem has issues in the service sector and in the process of manufacturing that need to automate and update with the help of technology. The Business process needs to boost up including apparel designing and production, transportation, merchandising, and sales with the help of AI.
Artificial Intelligence goes in a reverse search of an image by inputting the image or shade of an item. All you have to input is a relevant image you saved for a particular dress or accessory, and you see equivalent products.
Based on a report by Tractica, the market of AI is growing, and there revenues increases from 9.5 billion to 118.6 billion USD by 2025. Moreover, retailers are going to invest heavily in the Internet of Things and AI in the next five years.
Let us see some of the AI Consulting factors:
Tailor recommendations: A brand, gather data to analyze customer preferences and end up manufacturing clothes that customers will buy. Myntra (Flipkart), a well-known eCommerce brand launched machine line t-shirts with the help of AI robot- Artie represents Moda Rapido. It is much competent to offer new design apparels.
Fast redundancy: Retailers who planned and implemented AI to enhance their manufacturing process to reach customers are gaining more visitors and improve the run of products.
Managing inventory: To manage pretty much good inventory without wasting much of cost, retailers need to go for AI-based tools to predict the upcoming demand. These tools reduce the errors related to the forecast.
Reduce returns: Word “return” itself sounds painful for shoppers and retailers both. Through Artificial Intelligence, the customer gets more options to select a product from the available detail and reduces the return rate.
A personal stylist: A personal stylist help the user to achieve their desired looks based on choices and past purchases by aiding them in the selection of own styles, such as clothes and accessories. It increases the search capacity over the regular search pattern.
Enhance product discovery: Google Lens updates the experience for users by snapping a photo of a product and then fined it through Google Shopping. Here, AI is assisting to improve the discovery of products across retailers and multiple sites.
How to use Artificial Intelligence to the Fashion Industry?
You probably interact with AI on a daily basis with AI featured applications. All manufacturers and marketers are working on brand awareness and looking up to new strategies as the fashion industry is asking for more demand these days.
Unlike traditional ecosystem, quality and customer preference is the high priority along with the production process. It is feasible to lessen human errors in the manufacturing and tracking process in this hyper-connective, internet-enabled world. Fashion brands can stay ahead by improving productivity and accuracy with innovative designs and enhancing the customer experience.
Lately, fashion brands are involving to voice assistants and chatbots to leverage their conversations with users. Brands like Burberry and Tommy Hilfiger were the first amongst the fashion industry to try out with AI implementations in the form of chatbots.
After realizing the perspective of AI in design and predictions, it’s time to make a big move by integrating with technology. Unquestionably, the technology is the mainstream in globalization to boost business deployment and grab customer’s attention with innovations. The appearance of trendsetting technology, Artificial Intelligence, has transformed the way businesses take their future decision.
Chatbots – Increases Brand Engagement with Customers
Chatbots are new common, but its UI has improved when it comes to fashion with technology. To get exclusive access and previews that assist personal experience, the ability to build chatbots is leverage as done by Levis. It engages brands with their customers in a more conversational way.
Convincing your visitors to get emails and notifications in a highly competitive and busy life isn’t an easy task. But consider, a chatbot could convince them for you and send them messages for what they need?
Virtual Shopping Assistant- For Personalized Shopping Experience
If you have surfed through the brand H&M, you have noticed a Virtual Shopping Assistant. It would be a godsend to have personal assistance like one in a physical store. A pop-up as assistance asks a few questions about the choices you are looking for and suggest designs accordingly.
For changing market trends and customer demands, retailers need to keep a constant eye on changing patterns, and customers demand fashion, to predict the next design. If a customer wants “ethnic wear”, Artificial Intelligence helps by figuring out the exact need for a search. Whether the user wants to buy from the store or need some information and search engine results with the best possible answer that satisfies user needs.
AI Assistant: For Personal Training
In 2017, the well-known brand Nike partnered with advertising agency R/GA to launch the “Nike On-Demand campaign” which leveraged IoT data to fuel an AI assistant service to encourage behavior adherence. Nike has reported the result of a campaign that shows Nike On Demand expanded to a wider market.
The campaign result for six weeks by 240 Nike On Demand users in a total of 22,000 messages.
- 83% would recommend Nike On Demand to a friend.
- 81% would use the service again.
- 70% expect this type of service from Nike
Artificial Intelligence impact on Fashion Industry
Technology plays a decisive role for brands due to which customers are highly satisfied with improved services and immediate response through AI technology. AI embedded application surprising us by strategies and implementations in a way that, customers can take a photo and match the accessories and clothes over brands to get the same design.
- AI approaches upshot by reducing forecasting error by 50 percent.
- AI embedded app nailed the process of quality check.
- Brands can now ask for feedback and suggestions through AI featured applications.
- Brands are receiving further awareness and customer loyalty.
- Mainly used to identify defects in the material.
Moreover, Machine Learning and Artificial Intelligence together make a way to eCommerce sites. Even mobile app development is getting smarter these days after implementing AI and ML.
Some of the AI-based examples you interact with in daily life:
- Based on past search queries and behavior, online ads use AI to target audiences.
- Automated marketing-emails use AI to shape emails to send based on how you’ve interacted with a website before.
- Smart speakers and smartphone use AI as voice assistance to identify the keywords as customers query. (Google uses an algorithm such as Rankbrain)
- Chatbots are the new common in messengers to solve customers’ query in no time.
The Road Ahead
Well, ten years back, nobody knows what AI and predictive analytics will bring into the world!. Designs and apparels will be reprogrammed by AI and then there will be no room for wasting them. Research and analysis is the central part of AI consultants as demand forecasting is quickly becoming a vital tool for retailers.
Retailers should invest in AI applications to remain competitive as AI has massive potential for business transformation and business may miss sales opportunities without AI. If you haven’t started adopting AI, kick-start your journey now to be competitive and customers’ preference.