Conagra Brands, Inc. announced it will advance artificial intelligence solutions through a human-centric approach that prioritizes responsible use of AI across the company. Conagra is putting employees at the center of its AI strategy, aiming to leverage innovative tools to develop, optimize and reimagine capabilities to drive efficiency. This approach will empower employees to accelerate decision-making, efficiently integrate large datasets and leverage resources to enable growth.
Conagra is using generative AI, intelligent automation and strategic collaborations with Microsoft and EY to power its IT, supply chain, R&D, demand science, brand and design operations. For example:
Empowering employees and increasing productivity: Using Microsoft technology solutions such as Microsoft Power Platform and Azure OpenAI Services, Conagra employees are using agile tools to increase productivity and automate routine tasks. Additionally, the company has tested new solutions to solve more complex manual processes within its production facilities. For example, Conagra and Microsoft collaborated in a two-day hackathon to develop a new automated product labeling procedure that improves the accuracy of key information on product labels and aids in traceability and quality assurance.
“By implementing new solutions available through collaboration and emerging technologies, we are not only realizing measurable results now, but also seeing opportunities for future growth. These new digital capabilities will benefit our entire team, sharpening our focus and better shape the way we operate and innovate across Conagra.” — Azeem Kapadia, senior director of AI strategy at Conagra Brands;
Enhancing AI-driven branding solutions: Conagra and EY are exploring the potential of generative AI models to develop brand imagery to support marketing and advertising projects. The team is evaluating existing design processes and product imagery, fine-tuning datasets, and training AI models to create imagery that can be tailored to specific brand requirements. This effort aims to extend, accelerate, and streamline the content creation process through iterative collaboration with the Conagra team.
The work complements Conagra’s existing AI initiatives, which include analyzing complex data systems to track consumer preferences and emerging trends to inform product innovation, addressing demand challenges by understanding consumption trends and consumer behavior, and tracking processes across the supply chain to increase visibility into shipments and identify loss prevention opportunities.
