Practical Know-how for Applying AI to Customer-Facing Services: Lessons from “SkinTest AI”
Session Overview
AI is rapidly being applied across industries, becoming an integral part of daily life by helping to quickly bridge technology gaps and create opportunities for new services for customers. In particular, in the consumer industry, and especially in cosmetics, AI has become central to innovation. For example, AI-driven services in personal care have been well received by customers for their freshness and personalization.
‘Skintest.ai’ is a representative case where AI’s functional strengths are combined with professional storytelling to create value.
Key discussion points include:
- How should AI-powered consumer services be designed?
- How do we balance accuracy, speed, and cost?
- In what ways should these services be delivered to customers?
- What technical features are necessary for such services to succeed?
Speaker
Kim Jeong-min, a graduate with a Master’s degree from KAIST, is an expert in data analysis and AI-driven digital transformation. He has extensive experience leading technology-driven innovation projects, starting from Lotte E&C’s LECS project, and working with KeyM, Nike, Unicro, and Lotte Group’s e-commerce and distribution businesses in China and the U.S. He also gained practical expertise in digital marketing and data analysis at LG Household & Health Care. Currently, he leads the development of customer data analysis platforms and AI-based healthcare platforms, focusing on creating business value and sustainable digital innovation through AI.