Using AI and Data Science to Address Environmental Issues in Coffee Production: Nestlé’s Approach

Nestlé is implementing data science and artificial intelligence technologies to develop climate-resilient plants in an environmentally challenging habitat. Due to climate change affecting the growth of coffee plants, Nestlé’s plant scientists are using data science to identify factors that will result in robust crops. By utilizing AI technology and scanning a digital database of coffee traits, Nestlé aims to create more sustainable coffee cultivation methods and breed disease- and drought-resistant beans.

The focus on Arabica coffee strains is crucial, as they make up a significant portion of global coffee production. However, Arabica plants face challenges such as susceptibility to diseases and lower heat tolerance. To address this issue, Nestlé collaborated with the French National Institute for Sustainable Development and other academic partners to develop an advanced Arabica reference using genomics approaches. This initiative is part of Nestlé’s Nescafé Plan 2030, which aims to promote regenerative agriculture practices.

Nestlé’s coffee segment has been experiencing growth, with the company’s coffee brands like Nescafé, Nespresso, Dolce Gusto, Starbucks Coffee at Home, and Blue Bottle Coffee contributing significantly to its revenue. During investor calls, the company reported high single-digit growth rates in coffee sales within the powdered and liquid beverages segment. The use of data science and AI to develop climate-resilient coffee plants underscores Nestlé’s commitment to sustainability and innovation in the coffee industry.