Sustainable Beauty through AI :

Leveraging Artificial Intelligence for Eco-Friendly Product Recommendations and Personalized Skincare

Authors

  • Lin Fan College of Management, National Sun Yat-sen University, Kaohsiung City 804, Taiwan
  • Lavanchawee Sujarittanonta International College, Rajamangala University of Technology Phra Nakhon (RMUTP), Bangkok 10800, Thailand

Keywords:

Sustainable beauty, Artificial Intelligence, Eco-friendly products, Personalized skincare, Environmental impact

Abstract

Growing environmental concerns within the beauty industry have prompted both consumers and manufacturers to seek sustainable solutions. This study investigates the transformative potential of artificial intelligence (AI) in promoting eco-conscious practices across the beauty sector. By analyzing digital data sources such as social media content, product reviews, and skincare routines, we develop an AI-driven framework that delivers personalized, environmentally friendly product recommendations, identifies sustainable ingredients, and suggests optimized packaging strategies. Our findings indicate that AI technologies can meaningfully reduce waste, foster responsible consumption patterns, and incentivize brands to adopt more sustainable business models. This research adds to the emerging literature on sustainable beauty and underscores AI’s capacity to catalyze positive environmental transformation.

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Published

2025-12-26

How to Cite

Fan, L., & Sujarittanonta, L. (2025). Sustainable Beauty through AI :: Leveraging Artificial Intelligence for Eco-Friendly Product Recommendations and Personalized Skincare. Asian Arts and Society Journal, 1(2), 82–99. retrieved from https://so13.tci-thaijo.org/index.php/AASJ/article/view/3119

Issue

Vol. 1 No. 2 (2025): July - December

Section

Research Article

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