With over 3 Billion views and 300,000 individual ideas, Trend Hunter is the world's largest trend database. Every visitor makes choices when they interact with Trend Hunter, whether that's diving deeper into the current idea or navigating to a similar idea. Those choices give us insight into consumer behavior and fuel our growing library of Consumer Insights.
Consumer Insights are the higher-level patterns that our team identifies by spotting commonalities within the trend space. As the crown jewel of the Trend Hunter database, they describe the implications that the selected phenomenon has for brands and consumers alike. We've combined over 7,000 Consumer Insights with the power of AI to enhance and accelerate our Custom Reports and Research.
Using a combination of machine learning and vector mathematics, we're able to identify thousands of new relationships and comparisons between Ideas and Consumer Insights in our Trend Database. These relationships can be leveraged to:
Baked into the core of our Trend Hunter Dashboard product, preference tracking works to understand the ideas you want to see and delivers recommended insight and ideas for you and your team. Your preferences are progressively tweaked as you consume more content to continuously deliver relevant and interesting inspiration to your dashboard. Machine learning is also used to enhance our natural language processing capabilities.
We've analyzed over 1.5 million images from our trend database to extract insight, content and text. This extraction fuels our research in a variety of ways: