FlavorHawk acquires continuous consumer flavor-preference data and maps it with weighted scores to continually updated product flavor profiles.
Our core inference technology, PADRE, delivers predictive analytics and preference matching at scale through many machine learning algorithms working together.
The resultant architecture delivers product development, menu engineering, and market optimization.
By capturing and analyzing high-frequency data acquisition of consumer behavior at scale, FlavorHawk's data sales division, FlavorHawk iQ, delivers actionable intelligence that empowers businesses to:
PADRE's machine learning algorithms provide granular insight into individual flavor preferences, enabling precise menu item prediction with greatest accuracy.
PADRE enhances customer lifetime value through AI-driven menu optimization and personalized recommendation engines.
Our platform enables hyper-targeted advertising based on proprietary flavor preference data and behavioral analytics.
Access comprehensive flavor preference datasets and predictive analytics for market research and product development.
Developed in collaboration with pioneering recommendation engine experts who previously faced data availability constraints.
Scientific validation framework through Monell Center, the world's leading flavor science institute, enabling standardized flavor taxonomies and prediction models.
Strategic Google startup partnership providing advanced machine learning capabilities and infrastructure for complex flavor analytics.
