It’s a well known fact within the packaged food business that billions of dollars are wasted every year on bringing food products to market that don’t succeed.
So what if we could use machine learning and predictive algorithms to create products with a much higher success rate?
That’s what we talk about on this week’s podcast with Analytical Flavor Systems CEO Jason Cohen. Cohen’s company uses AI to understand flavor perception biases of individual consumers and predict how consumers will like flavor signatures across a broader population of users.
In this podcast we talk about:
-Why 9 in 10 of food product launches end in failure
-how AI can be used to better predict food product success
-How consumers know what they like but often are not good at becoming product formulators
-Whether machines can ever replace humans when it comes to understanding food flavor perception
And a bunch more!
