SpoiledChild's Products are Neither Anti-Aging nor Pro-Aging
Laura McQuarrie — February 2, 2022 — Fashion
References: spoiledchild & prnewswire
SpoiledChild is a new wellness brand that uses a proprietary machine learning engine to match consumers to their perfect hair and skin products based on their unique profile, needs and preferences. With artificial intelligence, machine learning and an online-only approach, the brand is disrupting the beauty category with personalized products that are neither anti-aging nor pro-aging.
SpoiledChild is the second brand launched by consumer-tech platform ODDITY and it's set on inviting a new generation of consumers to adopt its belief that age is an old idea. Suzanne Fitzpatrick, Co-GM of SpoiledChild, says "There is an entirely new generation of consumers that are redefining the rules of aging on their own terms. We wanted to create wellness products for them - products that break from the standard 'anti-aging' traditions and put the consumer in control of their future."
SpoiledChild is the second brand launched by consumer-tech platform ODDITY and it's set on inviting a new generation of consumers to adopt its belief that age is an old idea. Suzanne Fitzpatrick, Co-GM of SpoiledChild, says "There is an entirely new generation of consumers that are redefining the rules of aging on their own terms. We wanted to create wellness products for them - products that break from the standard 'anti-aging' traditions and put the consumer in control of their future."
Trend Themes
1. Personalized Skincare - The rise of personalized AI-driven skincare is disrupting the traditional beauty sector and creating opportunities for innovation.
2. Age-neutral Products - Brands catering to a new generation of consumers who reject traditional age categorizations are disrupting the beauty industry and creating opportunities for age-neutral product development.
3. Online-only Approach - The adoption of a direct-to-consumer, online-only approach is allowing beauty brands to offer personalized products at lower prices and disrupt the traditional retail model.
Industry Implications
1. Beauty and Skincare - The beauty and skincare industry is ripe for disruption through the development of AI-driven, personalized, and age-neutral products that cater to a new generation of consumers.
2. Consumer-tech - Consumer-tech platforms leveraging AI and machine learning to offer personalized wellness products are disrupting the traditional retail industry and offering new opportunities for innovation.
3. Direct-to-consumer (DTC) Brands - DTC beauty brands that offer personalized products entirely online are disrupting the traditional retail model and creating new opportunities for better customer engagement and brand loyalty.
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