Food manufacturers have invested in predictive maintenance technology and analytics for the last ten years in search of more uptime. Now, food industry leaders are witnessing partnerships for data contextualization that could be the missing “ingredient” to successful AI projects.
The pursuit of improved operational margins is difficult, as CPG companies face over 20% in cost losses due to inefficiencies. Many are implementing advanced sensors and contextual data analysis to enhance maintenance and develop AI-driven strategies in manufacturing.
For food and beverage manufacturers, AI readiness begins with gaining visibility into the plant that exists today, identifying the risks and constraints that matter most, and establishing a practical roadmap for modernization.
In addition to artificial intelligence (AI), big data and sustainability concerns, food industry professionals taking part in PMMI's research emphasized health-driven product shifts, ongoing workforce constraints and heightened sanitation scrutiny.
Some industry conversations fail to distinguish between genuine innovation and long-established automation, leaving plant and supply chain executives to make investment decisions without enough clarity to evaluate what they're actually buying.
Rather than a hodge-podge of sanitation and cleaning records scattered everywhere, why not tie them together digitally so they’re available in minutes or hours rather than days or weeks?
The recalls making headlines are not happening because food manufacturers stopped caring about safety. They are happening because the systems designed to catch problems are built to record what happened, not to prevent what is about to happen. This is one area where agentic AI can be transformational for food supply chains.
Protein products geared toward a healthy lifestyle are ubiquitous in North America. As demand increases across the board, producers are evaluating alternative protein manufacturing and precision fermentation.
With rising demand for protein, food manufacturers are turning to plant-based proteins, precision fermentation, and AI-powered tools for innovation. Pea protein is becoming popular, and new partnerships and digital technologies are aiding in reformulation and product development.
Some new ERP providers are building their systems from scratch totally on AI, but can their systems fulfill all the demands that manufacturers have expected from conventional ERP over the years?
How manufacturing leaders can move beyond operational excellence, embrace strategic risk and drive transformation across the connected workforce.
Avery Dennison Chief Information Officer Nicholas Colisto shares why leadership, not technology, is the defining factor in scaling impact across operations and why playing it safe is no longer a viable strategy.
On Demand The session will examine emerging applications for artificial intelligence (AI) in food manufacturing, including how agentic AI could reshape operations, decision-making, and production workflows in the years ahead.