Meat and the GLP-1 Mindset

One in six U.S. adults ages 18 to 75 now use a GLP-1 medication. GLP-1 medications are changing how consumers approach food, but the story is far more nuanced than simply “eating less.” The real story is about what they are choosing, why they are choosing it, and how much of that behavior is actually unique to GLP-1 use versus behaviors driven by demographics such as age and income. As consumers prioritize protein, nutrient density, low-carb choices, and convenient portions, meat and poultry are winning GLP-1 consumers' hearts and carts.

The Cost of Product Movement: What Protein Processors are Learning About Yield Loss

In this operations-focused webinar, meat processors will learn how to uncover and address hidden yield losses caused by product damage, giveaway, and inefficient conveyance between processing steps. Attendees will discover operational strategies and technologies to resolve the root causes of yield loss, helping improve line performance, throughput, and profitability.

Inside the Meat Case: Findings from the 2026 National Study

For more than two decades, the National Meat Case Study has provided the industry with a unique benchmark for understanding how the retail meat case is evolving. Join Ann-Marie Roerink of 210 Analytics and the CRYOVAC® team for an exclusive look at findings from the 2026 study and what they reveal about today's meat department. Learn how strong consumer engagement continues to support meat sales, why case-ready packaging has become the industry standard, how smaller package sizes are reshaping offerings, and what the dominance of private label means for retailers and processors.

Operationalizing AI in Meat & Poultry Turn Existing Data into Real-Time Decisions

Most protein processors already have the data, including environmental monitoring results, production metrics, supplier information, but struggle to turn it into real-time decisions on the plant floor.

This session focuses on how to identify the data you already have, assess what's missing, and build a practical path toward AI that works on the plant floor. We’ll walk through what data actually matters, how to connect it across food safety, production, and supply chain systems, and how to structure it for practical use and not just reporting.