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Click for video: 🐻🚀 Eytan Rozenblum, MEng ’24, is building a startup that helps food companies survey AI-simulated customers to predict demand and launch more successful products watch the full interview on YouTube, link below! Introduction to Foresight and CPG Marketing (0:00) - Defining CPG and AI Simulation (0:00) - Product Development and Ad Testing (0:39) The Data and AI Model Framework (1:22) - Demographic, Economic, and Behavioral Data (1:22) - Model Training and Accuracy Metrics (2:42) - Handling Trend Evolution and Data Refresh (3:17) Synthetic Insights vs. Traditional Market Research (4:07) - Efficiency Over Traditional Surveys (4:07) - Validating Decisions and Reducing Friction (5:48) - Quantitative vs. Qualitative AI Analysis (8:36) Solving Market Research Biases and Gaps (9:27) - Addressing the ’Say-Do Gap’ (9:27) - Limitations in Niche and Luxury Markets (11:51) The Feedback Loop and Prediction Science (13:30) - Understanding Buyer Motivation (13:30) - Post-Launch Performance Reinforcement (14:13) Future Trends in Consumer Behavior (17:26) - Focusing on the CPG Niche (17:26) - Lowering the Failure Rate of New Products (19:11) - The Evolution of General-Purpose Prediction (21:03) Market Structures and Ethics (23:52) - Amazon’s Full Stack vs. Population Modeling (23:52) - In-Store Purchases and Local Data (24:48) Entrepreneurial Journey: Cornell and YC (25:20) - Meeting Co-founders at Cornell Tech (25:20) - From PhD Economics to Y Combinator (27:05) #startup #yc