Domain-specific machine learning helps create best-in-class predictions. By aggregating large data sets on consumers, products, and preferences, AI systems can predict the outcomes of consumer studies without the need to run surveys, observations or sensory tests.
Gastrograph has trained AI models on the world’s largest sensory database so they can can predict successful food and beverage innovations without investing time and money to gather fresh data from consumers.
This type of AI also has long term benefits for innovation and insights teams: it turns your sensory and consumer insights data into an asset you can re-use and recycle over time for greater ROI.
In this on-demand webinar with Gastrograph CEO Jason Cohen, you’ll learn how CPG companies are accelerating innovation pipelines with AI that mines sensory data for insights.