Artificial Intelligence & Snack Foods

Artificial Intelligence & Snack Foods

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Artificial Intelligence & Snack Foods. Firstly, will Artificial Intelligence hold the future of the Snack Food Industry?

Moreover, from the factory to the consumer there are a number of segments of the Snack Food Industry that can and have been made more efficient by the application of Artificial Intelligence.


Image recognition machine learning artificial intelligence technology will be implemented in the factory for multiple efficices. Firstly, it can monitor the condition of the machines and spot a potential fault in a machine before it happens. Avoiding, a lenghty shut down of operations that will prove to be costly. In addition, factory managers utilize image recognition for quality control of both the product and the factory floor.

The Snack Food

What snack food will sell the most in any given region or country? Furthermore, how will the tastes of a region change? Large multinational firms from Pepsi to Procter and Gamble need to predict the consumer demand flows throughout the market. Here artificial intelligence machine learning technology will be able to help firms navigate the changing demands of the world.

Historical Engineering of the Food

Food has a long history of being engineered. Ray Kroc engineered the products at McDonalds. Moreover, speaking of Procter and Gamble, the Pringle is one of the most engineered foods ever to hit the shelf.


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Pringles have a saddle shape. Mathematics defines this as a hyperbolic paraboloid. The designers of the Pringles chip reportedly used supercomputers. Furthermore, they wanted to ensure that the chips’ aerodynamics would keep them in place during packaging. Additionally, the designers wanted to ensure that the chip would not break. Moreover, many chip consumers complained about broken chips in their bags.

In 1956, Procter & Gamble assigned a task to chemist Fredric J. Baur: to develop a new kind of potato chips to address consumer complaints about broken, greasy, and stale chips, as well as air in the bags. Baur spent 2 years developing saddle-shaped chips from fried dough, and selected the tubular can as the chips’ container. Gene Wolfe, a mechanical engineer and author known for science fiction and fantasy novels, helped develop the machine that cooks them.

A classic example of a heavily tech-focused solution to ingeniously solve customers’ problems in a non-tech industry (and that too, in 1956).

In conclusion, P&G does all kinds of innovative data driven things. 

Lastly, how do you get a chip from corn meal to final product?  Through data science!

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