We also worked on blending for tastes, new and old. Using AI and expert systems methods. With multiple consumer preference, manufacturing and supply chain goals. Notably for years in the coffee industry, but also later in other food areas. We even used classification methods to private blend coffee that would appeal best to consumers based on interaction in the store. Later linking to sensory methods. To create blend novelty based on blending options. See more about this at the Label tag:
Coffee below. Look forward to seeing this effort.
IBM and McCormick blend new seasonings with AI By
Kyle Wiggers in Venturebeat
On some future visit to your neighborhood supermarket, at least a few of the groceries you pick up for that night’s dinner party or the next day’s lunch will have been designed with artificial intelligence (AI) — or so thinks IBM. The Armonk, New York company today announced that it’s teaming up with McCormick & Company — the century-old purveyor of spices, seasoning, mixes, and condiments for industrial and home kitchens alike — to create new flavors and foods with machine learning.
The collaboration — which IBM says was four years in the making — will see McCormick & Company tap IBM’s Research AI for Product Composition tech for AI-derived insights, which IBM claims has already enabled the food company’s Consumer and Flavor Solutions divisions to discover new herb, extract, marinade, and stock flavor combinations up to 3 times faster. The recipe-predicting AI, drawing on McCormick’s proprietary “hundreds of millions” of data points across sensory science and flavor palettes, will fuel the launch of its forthcoming product family — One — which it expects will launch in mid-2019. ... "
See also
in Fortune.
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