AI Case Study

Champion Brewing uses machine learning to create what they consider the perfect IPA beer - the ML IPA

Champion Brewing Company of Charlottesville used machine learning to identify what would be judged a top IPA beer at the Great American Beer Festival. Training a machine learning model on the parameters of top and worse selling IPAs they identified what they consider a top beer recipe.

Industry

Consumer Goods And Services

Food Beverage And Drugs

Project Overview

“'We provided the parameters on which IPAs are judged at the Great American Beer Festival (SRM, ABV, IBU) and matched that range with the 10-best-selling IPAs nationally, as well as the 10 worst selling IPAs at a local retailer and Metis came up with the results,' Hunter Smith, owner of Champion Brewing Company said announcing the beer.'"

Reported Results

Too early to tell but we are sceptical. It should be noted that the training data set was tiny with only ten positive and negative selling beers." And it is unclear whether the model took into account brand awareness and distribution which significantly impacts sales.

The project leaders claim "the results of the endeavor are an IPA with 6% alcohol by volume (ABV), 60 IBU, a measurement on the international bitterness scale, and 6 SRM, or standard reference method which is a color system used to indicate the color of the malt and finished beer."

Technology

Machine learning

Function

R And D

Product Development

Background

"Charlottesville’s Champion Brewing company recently teamed up with the nearby machine learning company Metis Machine to brew their new ML IPA—a computer’s vision of what should essentially be the ideal IPA. And since the project is based in science, Champion was very specific about what data it chose to feed into the computer."

Benefits

Data

“We provided the parameters on which IPAs are judged...and matched that range with the 10-best-selling IPAs nationally, as well as the 10 worst selling IPAs..."