Barry Callebaut to Optimize Recipe Development With AI, Food Analytics
Barry Callebaut will optimize its recipe development with AI-enabled capabilities that guide innovation based on taste, texture and sustainability.
The chocolate manufacturer partnered with AI company NotCo to integrate new functionality into its research and development operations, leveraging the tech company's proprietary dataset of food and consumable properties.
Barry Callebaut's goal is to build a framework through which it can scale innovation faster and more sustainably while overcoming challenges such as climate pressure, ingredient shortages and rising cocoa costs, which are forcing companies to reformulate their products.
It expects to see benefits such as shortened development cycles, improved hit rates and a more digitally empowered workforce as a result.
Th effort is part of Barry Callebaut's multi-year digitalization roadmap, which plans to apply AI in an end-to-end capacity across the enterprise, consolidating efforts across global manufacturing, supply chain and distribution, and data and analytics.
Last year, the company said it would invest $559 million over the next two years in core customer areas such as innovation, service, sustainability and quality to boost efficiency across the organization.
More about its digital roadmap: Barry Callebaut forms AI and cloud partnership
The investment reflects the company's goal of elevating experiences by boosting innovation and speed to market, according to Peter Feld, CEO of Barry Callebaut.
"We’re aiming to unlock speed for breakthrough recipe solutions — from health-forward formulations to functional ingredients and Nutri-Score-friendly options," he said in a statement. "This collaboration enables us to test how AI can enhance process efficiency and scale our innovation efforts to meet future demands and allows us to accelerate our ways of working to deliver the best possible customer experience.”
