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Personalized Skincare Collections

Clean the Sky - Positive Eco Trends & Breakthroughs

Sans Ceuticals' Personal Prescription Notes Individual Issues

— August 9, 2017 — Art & Design
New Zealand-based skincare and haircare brand Sans Ceuticals recently launched a new online tool called Personal Prescription that makes it possible to target and address one's individual issues with the brand's beauty products.

After filling in a short quiz about one's skin and hair type, areas of concern and desired results, users are directed to a curated list of products suggestions that may best suit their needs. The Personal Prescription results also call up a personalized ingredient list, which details some of the reasons why specific ingredients were chosen for an individual's specified needs.

Sans Ceuticals offers a variety of shampoos, conditioners, face wash and exfoliant products, accessories, as well as kits, such as the Volumise + Repair Hair Kit, the Brighten + Refresh Hair Kit and the Luminous Skin Kit.
Trend Themes
1. Personalized Skincare - Disruptive innovation opportunity: Develop AI-powered tools that analyze skin and hair data to personalize beauty product recommendations.
2. Individualized Results - Disruptive innovation opportunity: Create online platforms that provide customized product suggestions based on user preferences and desired outcomes.
3. Transparency in Ingredients - Disruptive innovation opportunity: Implement technology that educates consumers about the specific ingredients in beauty products and their benefits for individual needs.
Industry Implications
1. Skincare - Disruptive innovation opportunity: Introduce personalized skincare collections tailored to address individual skin concerns and deliver desired results.
2. Haircare - Disruptive innovation opportunity: Develop personalized haircare solutions that target specific hair types and concerns using data-driven recommendations.
3. Beauty Technology - Disruptive innovation opportunity: Pioneer AI-powered beauty technology that analyzes user data to offer customized product recommendations and ingredient insights.
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