Quick Overview
Olay launched the AI-powered Skin Advisor, which analyzes user selfies using computer vision and recommendation algorithms to estimate skin age and recommend personalized skincare routines, optimizing content and conversion.
Olay (Procter & Gamble)
Company Size
Part of P&G (~97,000 employees)
Revenue Range
$80B+ annual revenue (P&G)
Primary Challenge
Helping consumers find personalized skincare solutions amid overwhelming product choices
Key Metrics
\- Doubled conversion rate\- 40% increase in average cart size (China)\- Bounce rate cut by two-thirds\- Over 5 million global users\- 94% customer satisfaction score
The Problem
Consumers struggled to identify the right skincare products from numerous options, leading to confusion and poor purchase decisions.
The Solution
Developed Skin Advisor platform powered by AI and deep learning, analyzing selfies for 7 primary and 23 secondary skin concerns, estimating skin age, and recommending tailored products and regimens.
Results
\- Doubled sales conversion rates\- Increased average basket size by 40% in China\- Reduced bounce rates significantly\- Engaged millions of users globally\- Reduced product return rates by 40% through better matching
“Olay’s AI beauty technology has made personalization accessible and delivers measurable business results.”
Kelly Kovack, Beauty Industry Analyst
Details
Industry
Retail & E-commerce
Departments
Marketing & Content
Use Cases
Project Planning
Tags
Predictive Modeling
NLP
GenAI
Cost Reduction
Sales Teams
AI Tools Used
No items found.
Sources
https://www.marketingaiinstitute.com/blog/how-11-world-class-brands-are-actually-winning-with-aihttps://www.vktr.com/ai-disruption/5-ai-case-studies-in-marketing/https://www.forbes.com/sites/brianuzzi/2019/05/01/how-olays-ai-powered-consultation-disrupts-the-cosmetics-industry/https://www.marketingdive.com/news/venturebeat-olay-doubles-conversion-rates-with-ai-powered-skincare-advisor/528229/
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