The whole relationship between the textile and fashion industry the data science is like a story that we have often heard, i.e., the beauty and the beast. Here “beauty” refers to the ever-growing powerful data science model, and “beast” refers to the multi-billionaire dollar textile and fashion industry. The beauty of data science drives the fashion and textile industry forward.
Being an extremely competitive market, the fashion industry is linked with numerous other sectors. Undoubtedly, science and tech have eased our lives. With its help, the textile industry has been able to produce techy gadgets and items like smart fabrics, fitness trackers, wearable techniques, and bright clothes. The worldwide textile industry is expected to rise from $1.5 trillion to $2.25 trillion by 2025.
Creative Minds Combines with Never Ending Technology
In the fashion industry, creative minds work in collaboration and succeed in generating an idea that globally trends. Every week there is a new design that trends in the fashion industry, and the fashion icons promote it. Intelligent textiles that are recently invented can monitor and exchange information about the users. Examples are biometric recognition, blood pressure measuring, temperature, humidity, and other technology integrated with high-end technologies like edge computing, Bluetooth low energy, cloud data, and more.
Role of Data Science in the Textile Industry
Data science is continuously changing the fashion industry by gathering the data, processing it, identifying it, and analyzing it to turn it into information. Moreover, also it suggests actionable insights. But if we look practically, there is a ton of data such as the trends on social media, what fashion icons and celebrities are wearing, what has been the center of public attention lately, and what is buying the most. All of this combined makes a huge loop that is mined by using the latest technology mode, AI or data science.
With the help of predictive algorithms, data science helps the business owner make wiser decisions. For instance, data sets and algorithms can help forecast whether the latest or upcoming fashion line will be getting a good response. Or it can help the designer design what kind of clothes they should design that will trend.
How data science can help in targeting the customer market: Big clothing brands and retailers collect digital impressions from different age groups, gender regions, ethnicity, and other criteria from their consumer market. This is a standard marketing approach that brands use to know their customers’ experiences and preferences. This method can investigate consumer behavior and then improve or make your product according to it. These factors play an essential role in the customer involvement process. The purchasing times, social media sentiments, and buying points are helpful to analyze how a customer connects to your business.
Impact of Data Science on the Textile Industry Here are some of the significant impacts of data science in the textile industries:
Machine assisted design:
Numerous AI tools have learned how to read photos and generate a unique design. AI is so deeply rooted in design that significant businesses use it to develop new designs. Moreover, with the help of technology, AI programs have been developed that analyze and process images and tell if the design is trendy or not.
Customer experience:
Many customers still feel annoyed for not receiving delivery on time or the expected quality service. To cope with such a situation, some clothing manufacturers are using customer feedback to improve their ordering process methods so that customers can shop easily with them.
From notifying about the price drops to clearing all customers’ queries through the chatbots. AI provides brands and companies with the data that help them target potential customers to reach their goals and improve the customer experience.
Introducing new applications in the industry:
Nowadays, clothes and textiles come combined with sensing technologies that can sense electricity. The fitness trackers allow their users to live a better lifestyle. An advanced application that smart clothing allows the continuous monitoring of the body like measuring heart rate, hydration level, and critical biometrics. With more long-term use of smart clothing, doctors can quickly identify or diagnose the risk of heart rate.
Trending colors combinations:
The textile and fashion industry is spread everywhere. Clothing manufacturers and business owners are aware of the current trends. But it is equally essential to be aware of the contemporary colors that consumers like or purchase.
With the help of big data, manufacturers, brands, retailers can analyze the data to find out the latest trends in the colors combinations among the customers. It allows the brand to design according to the customer’s needs and specific to their demands. Data science and AI provide you with the whole set of data that lets you know about the most popular spectrum.
The Bottom Line
We can’t deny the fact that AI and data science are everywhere. There are considered a significant player in the textile and apparel industry. It can boost productivity in the clothing industry by assisting in fiber identification, forecasting and demand, safer working conditions, and more.
Artificial intelligence is a critical component that helps reshape and increase business growth by using innovative techniques and algorithms. Every day, the fashion industry faces new changes that result in trends. Latest fashion is a center of attention for everyone, and there are a number of different customer markets based on other age groups, statuses, cultures, gender regions, and more. The fashion and textile industry is built over various factors, aspects, and challenges like consumer behavior, shifting trends, etc.
Founder & Editor of Textile Learner. He is a Textile Consultant, Blogger & Entrepreneur. He is working as a textile consultant in several local and international companies. He is also a contributor of Wikipedia.
