About Total AI Score

The Total Score is an indexed number, 0-100, that helps consumer brands find and prioritize based on predicted demand. The closer to 100, the higher the predicted demand relative to the other attributes. This index helps brand leaders identify which trend are the best ones to focus on.

The Total AI Score is calculated by using machine learning to cross-analyze data from customer reviews, searches, social media, and products. The patterns across our data sources, and their historical demand changes, are used to filter out noise and accurately predict future consumer demand. For each attribute, the following KPIs are calculated, then indexed across the category:

Customer Reviews - the number of times a review in the category mentions an attribute;
New Arrivals - the number of products launched in the past 6 months that feature an attribute;
Instagram Mentions - the number mentions of an attribute in posts in your category from the past 6 months;
New Arrivals - the number of new products from the past 6 months that feature an attribute;
Passion - the amount of emotion when consumers mention an attribute, scaled on an index of 0-100, 100 being the most passion (both positive and negative comments) and 0 being the least passion (neutral tone comments);
Google Searches - how popular a search term is compared to its most-searched time on an index of 0-100: a score of 100 is the most-searched time, 50 means it's searched half as much, and 0 means there's too little data to measure.

Brands can use the Total AI Score to help decide what to include in future innovations. A higher Total AI Score means that a product or trend is a better opportunity. This helps brands quickly see and compare different opportunities without having to look at a variety of different data sources separately and make presumptive guesses. It helps brands make the right innovation choices with more confidence.

Updated on: 09/11/2023