Artificial Intelligence and Customer Satisfaction in Beautician Services: An Analytical Study
Keywords:
Beautician services, aesthetician, skin health, customer satisfaction, artificial intelligence, personalized skincare, secondary-data analysisAbstract
This paper examines the impact of traditional beauty services, such as those offered by aestheticians or beauty salons, on skin health and customer satisfaction. It also investigates the influence of artificial intelligence on these services. The study utilizes data from existing research, reviews, industry reports, and reputable news sources to analyse three key aspects: firstly, the significant role that beauticians play in preventing skin problems and ensuring customer satisfaction; secondly, the application of AI tools in skin analysis, the development of personalized treatments, product creation, and enhancement of the customer experience; and thirdly, the interaction or potential conflicts between human beauty services and AI tools. The technology is tailored to fit each individual's needs. AI contributes to more precise skin evaluations, the formulation of personalized treatments on a broader scale, and the enhancement of customer satisfaction. Nevertheless, challenges remain regarding regulations, the quality of evidence, and ethical considerations. The paper concludes with recommendations for beauty salons on the implementation of AI, identifies areas for future research, and outlines policies that should be taken into account.
References
Cai, Z. R., et al. (2025). Assessing the performance of image-based artificial intelligence models in dermatology: systematic review and meta-analysis. British Journal of Dermatology (systematic review).
Chakraborty, D. (2024). Unlocking the potential of AI: Enhancing consumer experiences in beauty. Technological Forecasting & Social Change / ScienceDirect. Di
Guardo, A., et al. (2025). Artificial Intelligence in Cosmetic Formulation: Predictive Modelling and Applications. Cosmetics (MDPI), 12(4), 157.
Hash, M. G. (2025). Artificial Intelligence in the Evolution of Customized Skincare: A Literature Review. PMC / NCBI.
Marri, S. S., et al. (2024). Efficacy of an Artificial Intelligence App (Aysa) in preliminary dermatologic assessment.
JMIR Dermatology. Reuters. (2024, July 11). South Korean beauty buffs can now thank AI for the perfect foundation shade. Reuters Technology.
Vogue Business. (2025). What if robots ran the beauty industry? (industry analysis on AI integration and business impacts).
Convulsion, S., et al. (2024). Current State of Dermatology Mobile Applications With Respect to Input Transparency, Evidence and Regulatory Approval. JMIR / PMC.
Walsh-Bohi, E. R. (2025). More Than Skin Deep: Embracing the Role of Aestheticians in Community and Clinical Health. Journal of Cosmetic & Dermatologic Science. Industry and market reports (examples): Times of India (Nika Skin Scan AI feature, 2025) and Approval (AI product personalization case studies, 2024–2025). Salon service & customer satisfaction studies (representative): Khan, P. I. Service quality and customer satisfaction of the beauty-care sector (institutional report); and sciential (study on customer satisfaction for beauty services) these highlight drivers of customer satisfaction (staff approach, price, environment, service quality).
Shaikh, S. A., & Jagirdar, A. H. (2026). Beyond AI dependence: Pedagogical approaches to strengthen student reasoning and analytical skills. In S. Khan & P. Pringuet (Eds.), Empowering learners with AI: Strategies, ethics, and frameworks (Chapter 8, pp. 1–16). IGI Global. https://doi.org/10.4018/979-8-3373-7386-7.ch008
Shaikh, S. A. (2024). Empowering Gen Z and Gen Alpha: A comprehensive approach to cultivating future leaders. In Futuristic Trends in Management (IIP Series, Vol. 3, Book 9, Part 2, Chapter 2). IIP Series. https://doi.org/10.58532/V3BHMA9P2CH2
Chougle, Z. S., & Shaikh, S. (2022). To understand the impact of Ayurvedic health-care business & its importance during COVID-19 with special reference to “Patanjali Products”. In Proceedings of the National Conference on Sustainability of Business during COVID-19, IJCRT, 10(1),
Bhagat, P. H., & Shaikh, S. A. (2025). Managing health care in the digital world: A comparative analysis on customers using health care services in Mumbai suburbs and Pune city. IJCRT. Registration ID: IJCRT_216557.
Parikh, V. C. (2022) Strategic talent management in education sector around organizational life cycle stages! JOURNAL OF THE ASIATIC SOCIETY OF MUMBAI, SSN: 0972-0766, Vol. XCV, No.11.
Parikh, V. (2023). Whistleblowing in B-Schools, Education and Society, Vol-47, Issue – 1, Pg. 183-189
Downloads
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.




