The Growing Importance Of Artificial Intelligence In Fashion
With these developments in the textile business, it seems that AI in the fashion industry is an inevitable shift that everyone in the sector must welcome.
AI IN FASHION IS TRENDING
Reports from McKinsey state that the traditional fast-fashion sector has grown by more than 20% by adopting innovative business models powered by machine learning solutions. These leading industry players see that the way to accelerate their production from design to shelf is by harnessing what the latest technology can offer and combining it with analytics and customer insights.
HOW MACHINE LEARNING IN FASHION HELPSSo, how exactly does AI in the fashion industry revamp existing processes and optimize the benefits of technology? Why are companies spending money on shifting into AI-enabled platforms when they can just stick with the current way of doing things?
Here are the areas that machine learning in fashion continues to enhance and expand into:
Combining big data innovations and artificial intelligence in fashion can help businesses analyze customer behavior and purchasing trends that affect the market’s supply-demand dynamics. AI-optimized systems can anticipate probable trends and define which consumer preferences are waning.
In a world where businesses compete over first-mover advantage, having an efficient supply chain that can quickly answer to customer demands is a huge plus.
Artificial intelligence in fashion has advanced to a point wherein it’s being combined with natural language processing (NLP) techniques to improve the analysis, classification, and extraction of data.
For instance, fashion designers can pull all the related information on the specific fabric used in clothing. The popularity, pairings, sizes, color combinations, and prices of the garment can be pulled by the intelligent system from online sources. By using advanced machine learning techniques, the system can be programmed to synthesize data and make them relevant and useful to fashion designers.
AI in fashion design has also made 3D prototyping easier. Digital swatches can be used by prototyping software to present a realistic visualization of how fabrics will look and feel when they’re manufactured into actual garments.
- Inventory management
The efficiency of tracking inventory through the use of digital spreadsheets, much less paper-and-pencil ledgers, has continued to decline as the demand for real-time solutions increases. Delays and miscalculations in inventory management can lead to wastage from excess and unsold merchandise. The storage costs for these also add to the unnecessary expenses of the company which could have been avoided if there was a more effective way of tracking inventory.
The integration of artificial intelligence in fashion has enabled inventory prediction that drastically reduces overhead in storing fabric. Real-time alerts can be raised by AI-powered systems and they can be configured to automatically replenish stocks based on the demand for the product. Close monitoring of the inventory ensures materials and merchandise never run out of stock, especially on items with high demand.
- Advertising and sales
AI in the fashion industry has penetrated the realm of advertising through the use of augmented reality and virtual reality. With more shops shifting into online channels to preserve sales, the need to maintain the same in-store shopping experience becomes increasingly crucial in retaining branding and keeping customers engaged.
Using VR and AR technologies, fashion brands have started putting up virtual retail stores that closely mimic the experience provided by shopping in brick and mortar outlets.
- Customer interaction
The utilization of artificial intelligence in fashion can be easily observed in the use of chatbots to gather information about customer needs, intentions, and feedbacks. Assistive technologies equipped with AI not only make customer experience exceptional and personalized but also help businesses improve conversions and maintain brand consistency.
Websites and mobile apps can be taught to intelligently interact with customers to give them a personalized experience that’s in line with their purchasing behavior. This increases the chance of cross-selling and up-selling more products to customers while pleasing the consumer with recommendations connected to the product they just bought.
- Manpower reduction
One of the key benefits of the integration of AI in the fashion industry is the development of more efficient systems that need lesser human intervention. Repetitive tasks usually performed by employees can now be assigned to machines, freeing more people that can be put to more important tasks.
AI in fashion design also helps in quality checking and pattern inspection.
Traditionally, human inspectors are assigned for identifying patterns and detecting defects on printed fabric materials. However, fatigue and subjectivity can result in differences in the products that pass the quality check. This can result in branding inconsistencies that can affect business reputation.
Improvements in the use of machine learning in fashion resolve these issues through automated visual inspection. AI-powered platforms can accurately match colors, patterns, and grading based on a set criteria. They can also objectively qualify products and determine which of them pass for market consumption.
Established garment manufacturers and retailers, as well as emerging small-time fashion players, are all benefiting from using machine learning solutions to fast-track their production.
For starters who don’t know where to invest their money into to experience the advantages of incorporating artificial intelligence in their fashion business, there’s the Frontier platform which is the perfect fit for any kind of textile business.
HOW FRONTIER FITS INTO THE PICTURE
Frontier can be your partner in embracing the integration of artificial intelligence in fashion. The platform is a cloud-based B2B solution that connects garment suppliers with fashion designers from all over the world.
With Frontier’s AI-powered search engine, finding the right supplier has never been easier. The system can find textile manufacturers offering the same fabric pattern and also look for those that present something similar to what’s being viewed.
The digital swatches Frontier present on the platform can also be readily used with 3D prototyping software to help in designing new apparel. Each digital sample available on the platform is filled with information that AI-enhanced systems can pull to deliver more comprehensive data to fashion designers.
The Frontier platform is already providing several advantages to its users, the biggest of which is the way it connects capable textile suppliers with creative fashion designers. Future use cases aren’t far from beings introduced to the system as more innovations in the utilization of machine learning in fashion are developed.
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