Fashion is a vast global industry. From the runway to the marketplace, from haute couture to fast fashion, and everything in-between, the industry is ever-expanding. And where there is expanding business, advancing technology is leading the way. Major tech companies develop innovative products to help enterprises to remain competitive. The hot topic now is AI.
Technology has gone beyond streamlining processes, boosting efficiency, and ensuring accuracy. Today’s technology has introduced Artificial Intelligence (AI) to help business leaders in many industries make strategic business decisions and resolve issues.
According to a recent survey by
Using AI technology with ML, Deep Learning, NLP, data analytics, etc., has proven to contribute to waste management and sustainability.
As the fashion industry relies on consumer and market insight for survival and growth, AI assistance programs have found a place among brands. They lend a helping hand in making smarter strategic decisions, specifically around product development and prospective business lines. Artificial Intelligence can play a significant role in the fashion industry in several ways:
Fueling brand creativity and productivity
AI can inform trends among brands and customers alike. By evaluating collected data, AI allows brands to analyze their previous sales metrics and identify design success. Knowing what sells can help businesses avoid design errors in future collections. AI can also mitigate the duplication of design plagiarism by scanning through hundreds of images and references.
Linking brand ideology with customer expectations
Insight into customer preferences and fashion trends helps brands focus their product development. Fast fashion brands aim to make trending designs affordable to all. AI technology contributes to that goal by analyzing and identifying styles for replication.
Focusing on sustainability
The fashion industry has come under fire for misusing and wasting resources. AI used in the supply chain helps designers and manufacturers mitigate waste. Better informed forecasting, merchandising, capacity planning, production, and delivery can conserve resources, lower costs, and improve production speed.
How the fashion industry uses AI
In the retail setting, both in-store and online, AI and Machine Learning are used to track buyers’ shopping activity and preferences. Retailers can gather data regarding sales, contacts, comments, and feedback. Websites can identify which pages were viewed and revisited. Retailers can analyze the data and feedback to see where they can improve. Then they can more closely align their offerings with customer preferences.
Fast fashion needs to reach retailers as quickly as possible. As local and international supply houses scaled down during the recent pandemic, fashion brands needed alternate sources. With language processing (NLP), AI allowed brands to locate raw material vendors and distributors and avoid supply and delivery interruptions.
Two critical factors in fashion manufacturing are quality checks (QC) and sales predictions. With AI technology, textile manufacturers can improve the efficiency of such processes as quality assurance, inventory management, logistics, etc. New technology can also identify counterfeit products that would negatively impact the business’s sales and revenue.
Artificial intelligence is undeniably helpful for the fashion industry. But brands must coordinate the technology with their specific business strategy to get the most benefit. Although some research suggests AI can replace 30% of work performed by fashion designers, it is unlikely that AI can replace designers or human intervention. The fashion industry must collectively understand that technology will enhance processes rather than replace the workforce or human creativity.
Today’s forward-focused retail and consumer goods companies are exploring ways that emerging technology can help them remain competitive and profitable. If you’d like to know more about AI and how it can benefit your organization,