AI-Driven Trend Prediction for Consumer Markets

This poster presents an innovative research project focused on developing an AI-driven tool for predicting emerging consumer market trends through large-scale social media data analysis. Unlike traditional static analytical methods, the proposed Emerging Trend Detector (ETD) utilizes advanced forecasting models and topic modeling techniques to provide dynamic insights into market behaviors. The project addresses the limitations of existing trend prediction methods by emphasizing textual data analysis, employing synthetic data generation to mitigate class imbalance, and incorporating Knowledge Graphs for effective metadata management. The interdisciplinary team from the Hamburg Technology Center combines expertise in machine learning, natural language processing, and market analysis to enhance the accuracy and scalability of trend detection.