AI-driven client management in personal services: case study from the beauty industry
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Abstract
This paper looks at how new digital tools are changing everyday life in beauty salons. It focuses on people, not machines - on how stylists, managers, and clients learn to work together when technology becomes part of daily service. The study is based on real salons that started using intelligent systems to organize bookings, store client histories, and collect feedback. The research shows that technology can help only when it stays in the background. When used with care, it makes work calmer, communication clearer, and relationships stronger. It saves time, keeps small details in order, and lets professionals focus again on creativity and personal contact instead of constant administration.
The main idea is simple: the beauty industry doesn’t need to become more digital - it needs to become more human through better use of technology. Artificial intelligence can help organize the noise around people so they can truly listen to each other again.
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References
Chaturvedi, R., & Verma, S. (2023). Opportunities and challenges of AI-driven customer service. Artificial Intelligence in Customer Service, 33-71. https://doi.org/10.1007/978- 3-031-33898-4_3 DOI: https://doi.org/10.1007/978-3-031-33898-4_3
Liye, Baohong. (2020). Machine learning and AI in marketing – Connecting computing power to human insights. International Journal of Research in Marketing, 37(3), 481-504. https://doi.org/10.1016/j.ijresmar.2020.04.005 DOI: https://doi.org/10.1016/j.ijresmar.2020.04.005
Arghashi, V. (2022). Shopping with augmented reality: How wow-effect changes the equations! Electronic Commerce Research and Applications, 54, 101166. https://doi.org/10.1016/j.elerap.2022.101166 DOI: https://doi.org/10.1016/j.elerap.2022.101166
Pallathadka, H., Ramirez-Asis, E. H., Loli-Poma, T. P., Kaliyaperumal, K., Ventayen, R. J., & Naved, M. (2023). Applications of artificial intelligence in business management, ecommerce and finance. MaterialsTpday, 80. https://doi.org/10.1016/j.matpr.2021.06.419 DOI: https://doi.org/10.1016/j.matpr.2021.06.419
Silver, D., Hubert, T., Schrittwieser, J., Antonoglou, I., Lai, M., Guez, A., Lanctot, M., Sifre, L., Kumaran, D., Graepel, T., Lillicrap, T., Simonyan, K., & Hassabis, D. (2018). A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science, 362(6419), 1140–1144. https://doi.org/10.1126/science.aar6404 DOI: https://doi.org/10.1126/science.aar6404