Case Study: AB InBev achieves more efficient beer filtration with Looker

AB InBev With machine learning, this Bud's for you

AB InBev, the global brewer behind brands like Budweiser, Corona, and Stella Artois, wanted to reduce manufacturing costs while improving beer quality, especially in its filtration process. The company partnered with Looker to help analyze production data and address the complexity and unpredictability of filtering beer at scale.

Looker helped AB InBev use data and machine learning to optimize the K Filter process, drawing on six months of brewery data to identify more than 50 predictive parameters. The result was a 40% to 50% longer filter run and a 60% increase in barrelage per run, reducing filtration costs and helping AB InBev deliver more consistent beer quality.

AB InBev

Adam Spunberg

Global Director of Tech Exploration