Nestlé and IBM Research have developed a breakthrough generative AI tool that can identify novel high-barrier packaging materials, potentially transforming how the food industry approaches sustainable packaging development. The collaboration demonstrates how artificial intelligence can accelerate the traditionally lengthy process of discovering new materials that meet functional requirements while supporting environmental goals.
The partnership leverages AI-based processing techniques to construct a comprehensive knowledge base of known materials from both public and proprietary documents. Scientists then fine-tuned a specialized chemical language model on this curated data, enabling it to learn molecular structure representations and correlations between structural features and physical-chemical properties.
The resulting model can now propose entirely new high-barrier packaging materials that effectively shield products from moisture, temperature variations, and oxygen exposure. This AI-driven approach significantly reduces the time traditionally required for material discovery, which can take years of meticulous research.
“This novel AI-powered language model, developed in collaboration with IBM Research, illustrates how Nestlé is leading the digital transformation within the food and beverage industry,” said Stefan Palzer, Nestlé Chief Technology Officer. “In the future, such breakthrough technology could be used to optimize the development of more sustainable packaging solutions across product categories.”
Nestlé and IBM: Supporting broader sustainability objectives
The AI tool aligns with Nestlé’s ongoing efforts to reduce virgin plastic usage, pioneer alternative materials and novel technologies, and transition toward recyclable mono-material and paper-based solutions. Nestlé will utilize this technology to identify future packaging materials while considering cost, recyclability, and functionality as key criteria.
Alessandro Curioni, IBM Research VP Europe & Africa, emphasized the broader implications: “We do believe that Generative AI will continue to disrupt scientific discovery, impacting the core business of all knowledge-based industries, allowing critical differentiation and sustainable growth.”
Beyond packaging innovation, Nestlé continues leveraging AI, machine learning, and automation across multiple applications. The company has developed a recipe optimization tool using advanced algorithms to help product developers balance ingredient choices, nutrition, cost, and sustainability while meeting consumer expectations.
The company also employs digital twins of equipment and production lines to optimize manufacturing processes and has created digital tools for personalized nutrition solutions for both people and pets.
New deep tech research center
Supporting these innovation efforts, Nestlé recently announced the creation of a new R&D center for deep tech, described as the first of its kind in the food and nutrition industry. The center will screen, test, and develop new generations of sensors, robots, coding systems, high-performing AI, and virtual/mixed reality solutions to increase efficiency in research, innovation, and operations.
This comprehensive approach to digital transformation positions Nestlé at the forefront of technology adoption within the food industry, demonstrating how AI and deep tech can address sustainability challenges while maintaining product quality and safety standards. The packaging material discovery tool represents just one application of how artificial intelligence can accelerate sustainable innovation in food and beverage manufacturing.
