ARTIFICIAL INTELLIGENCE IMPACT ON FASHION INDUSTRY

 

AUTHORED BY- SOMYA GUPTA (STUDENT)

& DR. TRAPTI VARSHNEY (PROFESSOR)

 

 

ABSTRACT

Advances of Artificial Intelligence (AI) is causing a radical transformation in the fashion business. The diverse effects of AI on the fashion business are examined in this paper. The paper examines the opportunities and difficulties posed by AI in the fashion sector using a thorough literature review, case studies, and industry examples.

 

The paper’s first part gives a general review of the fashion industry, emphasizing its distinctive qualities and difficulties. After that, it explores the idea of artificial intelligence (AI) and its numerous uses in the fashion industry, such as trend prediction, design optimization, and customized marketing. The paper also looks at IPR's function in the fashion sector, emphasizing how crucial it is to safeguard patents, trademarks, and designs in the quickly changing digital space.

 

Keywords: Artificial Intelligence, AI, Fashion Industry, Intellectual Property Rights, IPR, Design, Production, Retail, Legal Frameworks, Trend Forecasting, Design Sustainability.

INTRODUCTION

The fashion business is well known for its inventiveness, dynamism, and capacity to change rapidly in response to shifting customer demands and improvements in technology. Advances in Intellectual Property Rights (IPR) and Artificial Intelligence (AI) have led to a notable shift of the business in recent years. AI-driven innovations in machine learning and data analytics are transforming the fashion value chain from production and design to marketing and retail. In addition, IPR is essential for safeguarding the inventions and breakthroughs brought about by AI in the fashion sector.

 

The goal of this paper is to investigate the fashion industry's multifarious effects of AI and IPR. It will explore how AI technologies are changing the way that fashion is designed, increasing manufacturing efficiency, boosting customer experiences, and spurring innovation in the sector along with suggestions for how stakeholders, legislators, and fashion corporations may negotiate the rapidly changing terrain of AI in the industry.

AI IN FASHION: TRANSFORMING DESIGN AND PRODUCTION

In the fashion sector, artificial intelligence (AI) is transforming design, manufacturing, and customer experiences. AI has become a disruptive force. This thorough investigation focuses on how AI is changing design and manufacturing processes to examine the significant effects of AI in the fashion industry. The conversation covers the development of AI in the fashion business, its present uses, and its potential future ramifications.[1] An outline of AI's introduction and its potential for transformation in the fashion sector is given in the introduction. It describes the analysis's breadth and highlights the main areas—such as manufacturing efficiency, tailored customer experiences, and design optimization—where AI is having a major influence.

FASHION'S AI EVOLUTION

The development of artificial intelligence (AI) in the fashion industry from its inception to the present. It talks about how fashion firms are using AI, emphasizing significant turning points and technical developments that have influenced the sector's AI strategy.

 

Significant technological developments and a rising awareness of artificial intelligence's (AI) ability to change many facets of the fashion value chain have shaped AI's progress in the sector. Fashion firms are redefining how they design, create, promote, and sell their items as artificial intelligence (AI) has transitioned from a specialized technology to a mainstream tool.[2] This section examines the turning points in the development of artificial intelligence in the fashion industry, emphasizing the significant technical developments and trends that have influenced this field.

 

Early Adoption and Trials in the 2000s

Fashion brands started experimenting with AI technology in the early 2000s, mostly for inventory control and customer support. Virtual assistants and chatbots were used to enhance consumer connection and provide tailored shopping experiences. But compared to modern standards, AI was still in its infancy and had limited capabilities.[3]

 

The 2010s saw the rise of machine learning and big data.

The fashion industry's approach to artificial intelligence was changed in the 2010s by the widespread use of big data and machine learning technology. Fashion brands started using data to understand supply chain dynamics, market trends, and customer preferences. Fashion firms were able to make better judgments because to the analysis[4] and trend forecasts made by machine learning algorithms on this data.

 

AI-Driven Design Instruments (2010s)

The advent of AI-driven design tools has been one of the biggest advancements in the field of fashion AI progression. These technologies generate new designs based on a collection of characteristics, such past trends and stylistic preferences, using generative algorithms. These tools enable designers to rapidly iterate on their concepts and investigate a broad variety of design options, resulting in quicker and more creative design processes.

 

Customization and Personalization in the 2010s

The fashion industry has benefited greatly from individualized and tailored purchasing experiences made possible by artificial intelligence. Recommendation engines driven by AI examine consumer data to provide tailored product suggestions that increase revenue and client loyalty. Customization platforms employ AI algorithms to generate customized clothing according to inputs from customers, such fabric preferences, size, and style preferences.

ARTIFICIAL INTELLIGENCE FOR ENHANCED PRODUCTION EFFICIENCY

AI is revolutionizing the fashion industry's manufacturing processes, increasing their sustainability and efficiency. AI-powered solutions may streamline manufacturing procedures, including cutting fabric and sewing clothes, to cut down on waste and enhance quality assurance. Using case studies and real-world examples of AI use in production processes, this section explores the role of AI in maximizing production efficiency.[5]

 

Artificial intelligence (AI) is transforming the fashion industry's manufacturing processes by providing new tools and capabilities that increase productivity, cut waste, and boost quality control. The main ways that artificial intelligence (AI) is changing the fashion industry's manufacturing processes—fabric cutting, garment sewing, and inventory management—are covered in this section.

 

Cutting of Fabric

Fabric cutting operations are being optimized using AI to decrease waste and boost productivity. Fabric cutting is traditionally done by hand, requiring specialized work and perhaps wasting a lot of material. Nevertheless, patterns and fabric rolls may now be analyzed by AI-powered devices to optimize cutting layouts, reducing waste and increasing production. This lowers the fashion industry's carbon footprint, which benefits the environment in addition to cutting expenses.

 

Clothes Stitching

AI is also being utilized to enhance the quality control and uniformity of clothing sewing procedures. Artificial intelligence (AI)-driven robots can sew clothes faster and more accurately than human seamstresses, which lowers mistakes and boosts productivity. Fashion firms may save money as a result of this since it not only increases the quality of the finished product but also cuts down on the time and labor needed to make clothing.

 

Inventory Control

The garment industry's use of AI is revolutionizing inventory management by allowing businesses to minimize excess inventory and optimize stock levels. Sales data, consumer preferences, and market trends may all be analysed by AI algorithms to forecast demand and guide manufacturing choices. Fashion businesses may save expenses and boost overall productivity by just creating what is required and eliminating surplus inventory.

 

 

Examples and Case Studies

With amazing results, a number of fashion businesses have effectively incorporated AI into their manufacturing processes. H&M, for instance, use AI algorithms to evaluate sales data and forecast demand, enabling the business to minimize excess inventory and optimize stock levels. Adidas is another example of a company that employs AI-powered robots to automate and reduce the costs and production times associated with making shoes.

 

Obstacles and Prospects for the Future

Although AI has a lot to offer the fashion industry, there are drawbacks as well, such the need for experienced labor to run AI-powered machinery and the possibility of job displacement. Fashion brands will need to figure out how to responsibly and sustainably incorporate AI into their manufacturing processes as AI technologies advance. The creation of more sophisticated algorithms that can real-time improve production processes and the integration of AI across the whole fashion value chain are potential future paths for AI in production efficiency.[6]

 

CONCLUSION

Artificial intelligence (AI) is revolutionizing manufacturing efficiency and design optimization in the fashion sector, creating new avenues for development and innovation. However, using AI brings up significant intellectual property rights issues, such as who owns and protects AI-generated designs. Businesses need to make sure that their usage of AI technology conforms with intellectual property regulations and negotiate the complicated legal problems around IPR protection. Through the resolution of these obstacles, businesses may optimize the advantages of artificial intelligence in the fashion sector, safeguarding their exclusive rights and guaranteeing the moral and conscientious use of AI technology.

 

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[1] Hsiao, S. W., & Chen, C. W. (2019). Intelligent clothing design: an approach to integrating artificial intelligence into fashion design education. Fashion and Textiles, 6(1), 1-13.

[2] Lu, Y., & Guo, Y. (2020). AI in fashion: A review. Fashion and Textiles, 7(1), 1-21.

[3] Yang, H. (2021). The legal status of AI-generated works under intellectual property laws. Journal of Intellectual Property Law & Practice, 16(5), 346-355.

[4] Poltorak, A., & Morgan, S. (2020). Patenting AI inventions in Europe: balancing the ethical and legal challenges. Journal of Intellectual Property Law & Practice, 15(12), 916-923.

[5] Hong, S. J., & Yeo, J. (2021). The effects of artificial intelligence (AI) fashion stylists on consumer decision-making: The moderating role of self-monitoring. Journal of Retailing and Consumer Services, 61, 102538.

[6] Oguamanam, C. (2020). Artificial intelligence, intellectual property, and the protection of traditional knowledge. Journal of Intellectual Property Law & Practice, 15(7), 491-492