Sephora Retail Analysis Based on SWOT Analysis
Research Article
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Sephora Retail Analysis Based on SWOT Analysis

Zhuoxuan Xie 1*
1 School of Banz
*Corresponding author: Jophyxie@outlook.com
Published on 6 August 2025
Volume Cover
AEMPS Vol.207
ISSN (Print): 2754-1177
ISSN (Online): 2754-1169
ISBN (Print): 978-1-80590-299-7
ISBN (Online): 978-1-80590-300-0
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Abstract

Artificial intelligence offers applications in a variety of professions, especially in the beauty industry. Sephora used a lot of innovations like virtual try-on and personalized recommendations. This paper suggests a SWOT analysis to prove Sephora’s AI adaptation’s strengths, weaknesses, opportunities, and threats. Its aim is to assess how AI’s enhancement can improve Sephora’s retail strategies. In the case study methodology, the paper analyzes Sephora’s AI applications and data is drawn from corporate reports, industry publications, and technology assessments. This paper finds that AI significantly improves consumers’ experience and satisfaction through personalization and increases operational efficiency. Nevertheless, there are some issues, such as data privacy concerns and the expensive costs of AI need to be improved and also the analysis reveals potential growth of emerging technologies and strategic partners. Results reveal that although Sephora has advantages, Sephora requires more innovations in AI techniques. As a result, the study recommends further research into consumers’ acceptance of AI and comparative analysis with competitors’ technology adoption.

Keywords:

Artificial Intelligence, Retail Technology, SWOT Analysis, Beauty Industry

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Xie,Z. (2025). Sephora Retail Analysis Based on SWOT Analysis. Advances in Economics, Management and Political Sciences,207,54-57.

References

[1]. Capgemini, (2019). Impact of AI for Customer Experience (CX) AI: re-humanizing digital customer experience. [online] Available at: [Accessed 27 November 2020].

[2]. Futurum Research, 2019. Experience 2030: The Future of Customer Experience EMEA. [online] Available at: [Accessed 29 November 2020].

[3]. Rayome, A. D. (2018). How Sephora is leveraging AR and AI to transform retail and help customers buy cosmetics. TechRepublic, Feb, 15.

[4]. Nike. (2020). Product Advice From Nike Experts. https: //www.nike.com/membership/experts-ondemand

[5]. Capgemini. (2018). Building the Retail Superstar: How unleashing AI across functions offers a multibillion dollar opportunity. Capgemini Worldwide. https: //www.capgemini.com/research/building-the-retail-superstar-how-unleashing-aiacross-functions-offers-a-multi-billion-dollar-opportunity/

[6]. Flament, F., Hoffman, M., Roo, E., Raimbault-Gerard, C., Zhang, J., & Elmoznino, E. (2019). A new procedure, free from human assessment, that automatically grades some facial skin structural signs. A validation step through clinical assessments by dermatologists. Int J Cosmet Sci, 41(5), 472-478.

[7]. Yifei Zhang. (2018). Research on the Current Situation of Chinese Smartphones and Suggestions. Advances in Social Sciences, 7, 1670

[8]. Rincon, M., & Attas, K. (2017). Phygitalization and its effect on customer satisfaction and loyalty-The case of Sephora.

[9]. Zaeem, R. N., & Barber, K. S. (2020). The effect of the GDPR on privacy policies: Recent progress and future promise. ACM Transactions on Management Information Systems (TMIS), 12(1), 1-20.

[10]. Dang, D. (2022). Artificial intelligence: AI in fashion and beauty e-commerce: Zara, Sephora.

References

[1]. Capgemini, (2019). Impact of AI for Customer Experience (CX) AI: re-humanizing digital customer experience. [online] Available at: [Accessed 27 November 2020].

[2]. Futurum Research, 2019. Experience 2030: The Future of Customer Experience EMEA. [online] Available at: [Accessed 29 November 2020].

[3]. Rayome, A. D. (2018). How Sephora is leveraging AR and AI to transform retail and help customers buy cosmetics. TechRepublic, Feb, 15.

[4]. Nike. (2020). Product Advice From Nike Experts. https: //www.nike.com/membership/experts-ondemand

[5]. Capgemini. (2018). Building the Retail Superstar: How unleashing AI across functions offers a multibillion dollar opportunity. Capgemini Worldwide. https: //www.capgemini.com/research/building-the-retail-superstar-how-unleashing-aiacross-functions-offers-a-multi-billion-dollar-opportunity/

[6]. Flament, F., Hoffman, M., Roo, E., Raimbault-Gerard, C., Zhang, J., & Elmoznino, E. (2019). A new procedure, free from human assessment, that automatically grades some facial skin structural signs. A validation step through clinical assessments by dermatologists. Int J Cosmet Sci, 41(5), 472-478.

[7]. Yifei Zhang. (2018). Research on the Current Situation of Chinese Smartphones and Suggestions. Advances in Social Sciences, 7, 1670

[8]. Rincon, M., & Attas, K. (2017). Phygitalization and its effect on customer satisfaction and loyalty-The case of Sephora.

[9]. Zaeem, R. N., & Barber, K. S. (2020). The effect of the GDPR on privacy policies: Recent progress and future promise. ACM Transactions on Management Information Systems (TMIS), 12(1), 1-20.

[10]. Dang, D. (2022). Artificial intelligence: AI in fashion and beauty e-commerce: Zara, Sephora.

Cite this article

Xie,Z. (2025). Sephora Retail Analysis Based on SWOT Analysis. Advances in Economics, Management and Political Sciences,207,54-57.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICEMGD 2025 Symposium: Innovating in Management and Economic Development

ISBN: 978-1-80590-299-7(Print) / 978-1-80590-300-0(Online)
Editor: Florian Marcel Nuţă Nuţă, Ahsan Ali Ashraf
Conference website: https://2025.icemgd.org/Lahore.html
Conference date: 23 September 2025
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.207
ISSN: 2754-1169(Print) / 2754-1177(Online)

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