Case Study: a leading skincare brand accelerates concept testing with C5i synthetic data and GPT-4

Revolutionizing Skincare Concept Testing with Synthetic Data and GPT-4

The skincare brand, a leading player in the retail industry, faced significant delays, high costs, and a lack of panel diversity with traditional product concept testing. To overcome these challenges, the brand partnered with AI provider C5i to explore an automated, AI-based solution that would accelerate its early innovation process without relying on expensive panel providers.

C5i developed a robust solution using Generative AI and Large Language Models, including GPT-4 and agent-based RAG systems, to generate synthetic consumer data. This approach simulated realistic feedback from 250 respondents per concept, identifying winning products based on key metrics like purchase intent. The solution achieved an 80% similarity when validated against real respondent scores, which accelerated product development, improved product-market fit, and significantly reduced research costs for the skincare brand.