Trendtracker, launched by Belgian firm Trensition in 2019, is built to automate trend discovery and foresight. It applies natural language processing and machine learning to scan and synthesize massive volumes of digital content, giving strategy and innovation teams a structured view of how trends are forming, evolving, and gaining relevance. The platform is designed for teams that need to spot early signals, reduce bias in decision-making, and move from scattered data to actionable foresight.
Core features include Trend Board, a customizable workspace for curating and managing trend sets tied to business questions. Trend Scoring quantifies momentum and projected trajectory using machine-generated models. Trend Radar offers visual mapping of trend strength, while Trend Insights provides contextual analysis to explain what’s driving shifts and why they matter.
It’s used across industries—consumer goods, insurance, sports, and consulting. Companies like PepsiCo, Procter & Gamble, Zurich Insurance Group, UEFA, and Deloitte rely on Trendtracker to inform R&D, mitigate risk, and shape long-term strategic planning. What sets Trendtracker apart is its ability to surface weak signals, cut down on manual scanning, and make sense of the noise. It’s part of a larger push to operationalize AI in corporate foresight, moving from traditional reporting to predictive intelligence at scale.
