Food Concept Development for Line Extensions
As one of the largest and leading companies worldwide in the agro-food industry, Nestlé's innovative teams are striving to accelerate their velocity, pushing new concepts from ideation to refinement in the market.
How to leverage large and unstructured consumer data to build an AI Knowledge Graph? Support product development managers in harnessing trends to convert them into pre-concepts. How to predict the success of a concept and guide the manager in its refinement?
The data arrives in real-time, is sometimes noisy, and not always related to relevant topics. It is necessary to score the quality on multiple axes (syntax, grammar, etc.), correct when possible, extract various useful information, and feed an AI concept generation engine.
Leverage the entire algorithmic and technological foundation of the Factonics platform to rapidly develop a pre-industrialized application capable of analyzing millions of public data in near real-time
Thanks to the Knowledge Graph, we generate millions of flavor combinations that meet the requirements of target consumers. These combinations were then validated using digital twin technology to test trials and preferences.
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