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How Does Artificial Intelligence Affect Fashion Industry?

Updated: Mar 4, 2021


With the rapid development of modern technology, the most typical and most in-depth example is that Artificial Intelligence plays an important role in all respects in our life. So when it comes to talking about the topic, we will consider that AI is on earth how to help fashion industries. Let's discuss it below.


Firstly, AI can help with some problems which are related to analyze the data of some brand. Only in this way can it improve work efficiency, reducing plenty of reluctant and lengthy problems. Big data and artificial intelligence are regarded as two mechanical giants by data scientists or other large companies. Many companies believe that artificial intelligence will revolutionize their corporate data. Machine learning is considered as an advanced version of artificial intelligence, through which various machines can send or receive data and learn new concepts by analyzing the data. Big data helps organizations analyze existing data and draw meaningful insights from it. For example, let's consider a situation where a leather clothing manufacturer exports its clothing to Europe. By collecting data from the market and analyzing through various algorithms, businesses can identify customers' behaviors and interests, and then provide clothing according to customers' interests. Here, the algorithm can help us gain insight into the market and find accurate information.


Secondly, we can operate it efficiently by simplifying designs and manufacturing. Apart from these, AI can also help manufacturers to analyze cloth and assist in searching, which is convenient for users to find and purchase. Although there are huge information resources on the Internet, it is often difficult to find and obtain the information you need accurately and quickly from this information ocean. In order to solve this problem, people have developed various retrieval tools in the hope of providing this information service. With the gradual maturity of various technologies, network search engines have begun to develop rapidly. The network search engine collects and finds information on the Internet with a certain strategy and understands, extracts, organizes and processes the information to provide retrieval services for users, thus playing the role of information navigation.


With the development and progress of society, people's aesthetic concept of clothes is also changing. From the previous focus on the practical value of clothing, to focus on fashion, personalization, branding and other factors. As an important traditional industry, the clothing industry can solve the problem of tens of millions of employed people every year. But the industry, which has made outstanding contributions to the national and local economic construction, now faces many problems.

But with artificial intelligence, in the industrial production of clothing, there are traditional posts that need a large number of workers, such as proofing, cutting, sewing, ironing, packaging, warehousing, logistics, etc. in the next five years, the transformation of automation and intelligence will be gradually realized. All the data between production equipment should be connected and connected, and the data can be collected in real-time and online. Data should be transformed into information that can be recognized and valued for decision-making. Combine physical and virtual, make an overall plan for all production capacity, and have automatic response capability. Production equipment can realize all networking and intelligent production. Each factory can receive orders "online" and build an internet intelligent collaborative production platform. After the arrival of the Industrial Internet, in the next three or five years, 10 or even 20 years, a large number of garment enterprises will be deconstructed into a network of organizations. Here comes a virtual organization: your factory is not necessarily your factory, and your equipment is not necessarily your equipment. When you have free and rich production capacity equipment that can be shared with peers, your transportation and storage capacity can be shared in the network. Enjoy, it is a self-driving mesh mode.

The convenience brought to people's life: when sweeping robots, AI intelligent influence, cooking robots, face recognition and so on appear in our life, they bring us great convenience. Last but not least, the advantages of AI outweigh its disadvantages in the fashion industry. I hope people in fashion industry will fully take advantage of AI to help them solve some problems.


人工智能如何影響時尚行業?

隨著現代技術的飛速發展,人工智慧在我們的生活中在各方面都起著重要的作用,當談到這個話題時,我們會考慮人工智能究竟是如何説明時尚產業。

首先,人工智能可以説明解決一些與分析某些品牌資料相關的問題,能提高效率,減少大量冗長的工作。大資料和人工智慧被資料科學家或其他大公司視為兩大機械巨頭。許多公司認為,人工智慧將徹底改變他們的公司資料。機器學習被視為人工智慧的高級版本,通過各種電腦,各種電腦可以通過分析資料發送或接收資料並學習新概念。大資料可説明組織分析現有資料並從中獲取有意義的見解。例如皮革服裝製造商向歐洲出口服裝,通過從市場收集資料,通過各種演算法進行分析,企業可以識別客戶的行為和興趣,然後根據客戶的利益提供服裝。該演算法可以説明我們深入瞭解市場並找到準確的資訊。

其次,通過人工智能簡化設計和製造的工驟,我們可以有效地減少製作時間。人工智能還可以協助製造商分析布料並協助搜索,方便使用者查找和購買。互聯網上有巨大的資訊和資源,但通很難準確及快速地從這些資訊海洋中找到和獲取需要的資訊。為了解決這個問題,人們開發了各種檢索工具,隨著各種技術的逐步成熟,網路搜尋引擎開始迅速發展。網路搜尋引擎以一定的策略收集和查找互聯網上的資訊,並理解、提取、組織和處理資訊,為使用者提供檢索服務,從而起到資訊導航的作用。

隨著社會的發展和進步,人們對服裝的審美觀念也在發生變化。從以往注重服裝的實用價值,到注重時尚、個人化、品牌化等因素。服裝業作為一個重要的傳統產業,每年可以解決數千萬就業人員的問題。為國家和地方經濟建設做出突出貢獻的行業,現在面臨著許多問題。

借助人工智慧,在服裝的工業生產崗位需要大量的工人,如打樣、切割、縫紉、熨燙、包裝、倉儲、物流等,自動化和智慧化將逐步實現。生產設備之間的所有資料都應連接和連接,資料可以即時和線上收集。資料應轉化為能夠識別並重視決策的資訊。結合物理和虛擬,對所有生產能力制定總體計畫,並具有自動回應能力。生產設備可以實現所有網路和智慧生產。每個工廠都可以線上接收訂單,並構建一個互聯網智慧協作生產平臺。工業互聯網建成後,在未來三五年、10年甚至20年內,大量的服裝企業將被解構為一個網路組織。這裡有一個虛擬組織:你的工廠不一定是你的工廠,你的設備不一定是你的設備。當您擁有可與同行共用的免費和豐富的生產能力設備時,您的運輸和存儲容量可以在網路中共用。享受,這是一個自動駕駛的網狀模式。

便利給人們生活帶來了便利:當掃式機器人、烹飪機器人、人臉識別等出現在我們的生活中時,它們給我們帶來了極大的便利。最後但並非最不重要的一點,人工智能的優勢大於它在時尚界的劣勢。我希望時尚界的人能充分利用人工智能,説明他們解決一些問題。


 
 
 

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