Today IBM launched the Watson Trend App, a new way for shoppers to understand the reasons behind the top trends of the holiday season and also predict the hottest products before they sell out.
The IBM Watson Trend app distills the sentiment of tens of millions of online conversations by scouring 10,000 sources across social media sites, blogs, forums, comments, ratings and reviews.
Unlike other apps or lists that provide a static ranking of “hot” products, the Watson app reveals how consumers feel about the products they are considering or have purchased.
Using Watson’s understanding of natural language and machine learning technologies, the app uncovers consumer preferences to pinpoint patterns and trends to reveal why people are choosing certain products or brands.
The app also uses predictive analytics to forecast if a particular trend is a fleeting fad or will continue to remain strong.
To uncover insights behind the top holiday trends and products, Watson’s natural language engine aggregates insights into distinct trend groups: content, context and sentiment. Each group is given a relative daily Trend Score, ranging from 0 to 100, based on the impact (size of the conversation) and the momentum (the rate of growth of the conversation).
Users can view the top 100 trending products and stories behind them across three categories – consumer electronics, toys and health and fitness.
The app is available via a free download at the Apple App Store.