AI-Powered Cosmetic Biotechnology: Emerging Innovations, Sustainable Business Strategies, and Digital Commerce Transformation
Authors
PhD Scholar School of Life Sciences (Zoology) Dr. C.V. Raman University, Khandwa-450001 (M.P.) (India)
Assistant Professor School of Life Sciences (Zoology) Dr. C.V. Raman University, Khandwa-450001 (M.P.) (India)
Article Information
DOI: 10.51244/IJRSI.2026.1305000208
Subject Category: Biotechnology
Volume/Issue: 13/5 | Page No: 2275-2281
Publication Timeline
Submitted: 2026-05-30
Accepted: 2026-06-04
Published: 2026-06-10
Abstract
Artificial Intelligence (AI) is revolutionizing cosmetic biotechnology by integrating advanced machine learning, biotechnology innovation, predictive analytics, and digital commerce systems to develop personalized and sustainable cosmetic solutions. AI-powered technologies such as intelligent skin diagnostics, ingredient optimization algorithms, virtual beauty assistants, and predictive consumer behavior models are improving product innovation, operational efficiency, and customer engagement. Biotechnology innovations including plant stem cells, microbial fermentation, peptides, and bio engineered cosmetic ingredients are contributing organizations create safer and eco-friendly skincare products.
The integration of AI with digital commerce platforms has significantly transformed cosmetic marketing and customer experiences through recommendation systems, augmented reality applications, virtual try-on systems, and personalized advertisements. AI also supports sustainable manufacturing by reducing production wastage, optimizing resource utilization, and improving recyclable packaging strategies.
This study examines the role of Artificial Intelligence in cosmetic biotechnology and analyzes emerging innovations, sustainable business strategies, and digital commerce transformation within the global cosmetic industry. The study it so highlights major challenges and future opportunities associated with AI-powered cosmetic biotechnology.
Keywords
Artificial Intelligence, Cosmetic Biotechnology, Sustainable Business Development, Digital Commerce, Personalized Cosmetics, Biotechnology Innovation
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References
1. Kapoor R, Sharma V. Artificial Intelligence in Cosmetic Industry. International Journal of Advanced Research, 12(3), PP.45-52 (2022). [Google Scholar] [Crossref]
2. Lee H, Kim J. AI-Based Personalized Skincare Systems. Journal of Cosmetic Biotechnology, 9(2), PP.101-109 (2021). [Google Scholar] [Crossref]
3. Brown T, Wilson P. Sustainable Business Strategies in Cosmetic Manufacturing. Business and Sustainability Review, 14(1), PP.88-97 (2023). [Google Scholar] [Crossref]
4. Singh A, Verma N. Digital Commerce Transformation through Artificial Intelligence. International Journal of Digital Marketing, 8(4), PP.55-63 (2022). [Google Scholar] [Crossref]
5. Chen Y, Roberts M. Biotechnology Innovations in the Beauty Industry. Cosmetic Science and Technology Journal, 11(5), PP.70-82 (2021). [Google Scholar] [Crossref]
6. Patil S, Deshmukh R. AI Applications in Consumer Behavior Analysis. International Journal of Business Analytics, 6(3), PP.33-41 (2020). [Google Scholar] [Crossref]
7. Green M, Foster L. Sustainable Packaging Technologies in Cosmetic Industry. Environmental Management Review, 10(1), PP.14-23 (2023). [Google Scholar] [Crossref]
8. Johnson K, Allen B. Artificial Intelligence and E-Commerce Innovation. Global Digital Business Journal, 7(2), PP.90-102 (2022). [Google Scholar] [Crossref]
9. Kumar P, Sharma D. Machine Learning in Product Development and Quality Management. Journal of Emerging Technologies, 5(2), PP.122-130 (2021). [Google Scholar] [Crossref]
10. World Economic Forum. Artificial Intelligence and Future Business Transformation. Geneva Publications, PP.56-68 (2023). [Google Scholar] [Crossref]
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