Jason Cohen, CEO
Predictive Portfolio Optimization
95% of new food & beverage products fail in the first 3 years after launch. This is because products are developed and marketed without modeling and predicting current and future consumer preference. Gastrograph AI is equipped with a suite of tools to create competitive flavor profiles aimed at a targeted market segment.
Predictive models identify how different demographics and regions both experience, and enjoy different flavor profiles, and how to utilize that information to optimize portfolios on regional and national levels. We offer market mapping, tapping into undersold markets, and regional optimization to make sure the right product meets the right person.
Map differences in perception and preference by demographic, region, and even sub-region to make better, more informed decisions for portfolio management.Segment the market by preference, profiling clusters of consumers by what flavor profiles they are most likely to enjoy, acquire, and repurchase. Gastrograph AI is powered by the unique insight of predicting the underlying flavor profile of products from consumer reviews – learning what certain individuals not only taste, but specific flavors they like and dislike about the products they review.
Measure the competitive landscape of regions based on the underlying flavor profile of all products available from consumer review data. Hone in on key regions where your products will have the most competitive flavor profile, estimate who is most likely to buy any given product in a target area, and determine the expected rate of re-purchasing of a new product.
Gastrograph AI builds explanatory models of current portfolio performance, and predictive models for optimizing product distribution based on regional and demographic consumer preference information. Identify market white spaces based on consumer reviews, sales data, and distribution data. Tap into undersold market segments with flavor-based consumer preference insights.Request A Demo