AI Native Case Study #48: The Estée Lauder Companies (ELC)

👏 ELC has harnessed the power of ChatGPT Enterprise to rapidly innovate and enhance employee creativity within the fast-paced beauty sector.

🌟 Background
ELC is a global leader in prestige beauty, representing over 20 iconic brands, including Clinique and La Mer, in a data-rich environment where hyper-personalization is key.

🏔️ Challenge
Faced with the challenge of leveraging 75+ years of data while keeping pace with the rapidly evolving beauty industry, ELC needed solutions to optimize product development and consumer insights.

💡 Solution
ELC adopted ChatGPT for extensive data processing, creating 240 custom GPTs to aid their teams in analyzing data more efficiently, thus streamlining workflows significantly.

🚀 Benefit
📈 Improved response time across R&D and marketing teams by over 90%.
🚀 Accelerated product launches, keeping ELC competitive with changing consumer trends.
✨ Enhanced creativity by allowing teams to focus on high-value tasks instead of repetitive data processes.
🌍 Expanded internal adoption of AI tools across various teams, leading to innovative solutions.

📊 Evaluation
Ethical AI: (7/10) The implementation focuses on data protection and user privacy but lacks transparency.
AI Native: (9/10) ELC’s integration of AI is extensive, enhancing creativity and efficiency in workflows.
Application Modernization: (8/10) ELC’s approach to rapid prototyping modernizes applications but needs broader scalability.

Statement:
1) This case is sourced from OpenAI’s official website, linked to https://openai.com/index/estee-lauder/.
2) Evaluation results are generated by AI, lack of data support, reference learning only.

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