Artificial intelligence for sustainable innovation in the cosmetics industry: A review of opportunities in product formulation and packaging
Rattachement africain : my, ae, id. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
The integration of Artificial Intelligence into the cosmetics industry has predominantly focused on personalization, marketing, and supply chain optimization. However, its potential to drive sustainable innovation in product development and packaging remains underexplored. Furthermore, existing studies don’t adequately consider the relevant Sustainable Development Goals (SDGs) in the areas of industry innovation and infrastructure (SDG9), responsible consumption and production (SDG12), and climate action (SDG13). This review investigates the current and emerging applications of AI in sustainable product formulation, packaging, branding and labelling along with key practical and theoretical limitations, and directions of future research required to unlock AI's potential for sustainable developments within the cosmetics industry. Also, this study aims to highlighting how AI-enabled innovation can support SDGs through sustainable industry development, responsible production, and climate action by explicitly embedding SDG 9, SDG 12, and SDG 13 within its research framework. The undertaken study synthesizes findings from 51 peer-reviewed articles and systematic review methodology by using PRISMA and meta-analysis. The originality of this review lies in its interdisciplinary approach to include triangulated theoretical perspective by linking Resource Based View (RBV) for competitive advantage, Innovation Diffusion Theory (IDT) for fostering innovation adoption and communication, and Innovation Systems (IS) enabling sustainable innovations through a collaborative network while proposing a multidimensional research framework along with an actionable framework reflecting SDGs-based outcome and concrete future research agenda. The comprehensive research framework systematically maps how emerging AI technologies, such as generative AI and reinforcement learning, can be strategically integrated across key stages of sustainable product development from formulation and packaging to branding to accelerate the transition to a sustainable economy. The conclusion shows a pivotal role in advancing SDGs 9, 12, and 13, each representing a vital facet towards a sustainable future. By clarifying the role of AI in accelerating eco-innovation, and by offering concrete limitations, this review contributes to both the academic discourse and the practical advancement of sustainability in the beauty industry.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Artificial intelligence for sustainable innovation in the cosmetics industry: A review of opportunities in product formulation and packaging
- Date Crossref
- 01/12/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
Une affiliation ne permet pas de déduire la nationalité d’un auteur.