Abstract

AI colour cosmetics applications emerged as an innovative solution to promote branded colour cosmetics and improve consumer decision making, primarily as a trial function. The purpose of this study is to investigate the factors that influence the adoption of AI colour cosmetics applications through the lens of social comparison theory. For promotion managers of cosmetic retailers and developers of AI colour cosmetics applications looking to promote and reach a large segment, managerial implications of this research are provided. Many leading retailers and cosmetic companies are adopting AI and machine learning technologies to better cater to their customers in the US by providing personalized products. The latest skin measurement tools allow for direct visualization and quantification of data, and as a result, there is great potential for further integration of machine learning in the cosmetics industry. With the aid of high- International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 08 Issue: 02 | February - 2024 SJIF Rating: 8.176 ISSN: 2582-3930 © 2024, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM28686 | Page 2 resolution visualization and IoT devices that can handle massive data flow, there is likely to be a significant impact on the industry in the future. It is expected that AI will become more prevalent in skin and cosmetics, facilitating age prediction, skin type assessment, and the development of analytical tools. As scientific and technological advancements continue, the use of artificial intelligence models is becoming more widespread. In cosmetic dermatology, artificial intelligence is being used in various new applications that are available to both patients and doctors. Patients now have greater control over their cosmetic care, thanks to the development of customizable skincare, augmented reality applications, and at-home skin analysis tools. Doctors are also utilizing artificial intelligence in innovative ways, including the creation of models for predicting treatment outcomes and instruments for comprehensive skin analysis. Further research is needed in areas such as robotically assisted treatments and automated energy-based therapy apparatuses. Artificial intelligence models in cosmetic dermatology are empowering patients to make more informed decisions about their skin care. Although AI has many benefits and applications, there are still areas where it needs to improve. Data protection and security must be a top priority. There is always a risk when relying on information provided by augmented reality platforms. We have seen recent examples of security breaches associated with such programs. Moreover, the outcomes produced by these applications may not always be reliable, and therefore, AI may not be entirely trustworthy. The skincare industry has experienced significant growth over the last decade, with a surge during the pandemic when the world became increasingly digital. Therefore, integrating AI into skincare is a promising concept. Keywords: Organic cosmetics, Sustainability, Artificial intelligence

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