Nestle We are considering automating packaging efforts with a focus on plastic reduction, identifying recyclable materials, such as paper-based and monomaterial solutions, that meet product functional needs while meeting food safety and quality standards.
To that end, the company developed a Generation AI Tool This helps identify high barrier packaging materials.
To this end, the company collaborated with IBM Research to develop AI-driven processing techniques to integrate data on known packaging materials from public and internal documents. This technology uses chemical language models that understand the relationship between structural molecule features and physicochemical properties, and outputs ideas for new packaging materials with improved moisture, temperature and oxygen control.
Also: Nestlé USA and other CPGSs move away from synthetic colors
The AI-enabled language model will be used to optimize the development of more sustainable packaging solutions across product categories, Nestlé CTO Stefan Palzer said in a statement.
