Every warehouse operation has a workforce plan. The question is how resilient it is when conditions change. On any given day, volumes may shift. Customer priorities change. Demand profiles evolve. In a complex operating environment, variability isn’t unusual: it’s embedded in the operating model. And when labor productivity underpins service commitments, cost performance, and overall financial outcomes, even modest deviations between plan and reality can carry meaningful impact. How do leading operations teams close the gap between strategy and real-world execution? In this executive-level fireside chat, Brandon Wibben, VP of Workforce Planning + Productivity at GEODIS, joins Karl Koehler, COO of Easy Metrics, to discuss how high-performing operations teams manage productivity, performance, and profitability in complex, high-variability environments. Drawing from real-world operational leadership, they’ll explore how data-driven workforce planning, productivity management, and daily execution must come together to protect cost performance and deliver on fulfillment commitments. The conversation will look at the persistent planning-versus-reality gap that defines high-volume operations – and how leaders can close it. Attendees will gain practical insights on how to: – Strengthen the connection between workforce planning and daily operational performance – Optimize productivity across sites, processes, and shifts with greater precision and accountability – Preserve…

There’s an ever-increasing amount of data surrounding the global supply chain, with more data sources always joining the party. It’s easy to get stuck in reactive mode, sifting through piles of information and trying to figure out what’s beneficial when you’re already in crisis mode. This discussion will dig into developing a more purposeful, proactive approach to digital data and data-driven decision-making, covering five key steps that can help you stay ahead of a rapidly changing world.   In this session, we’ll uncover: Strategically Navigating Data: By starting with the end in mind, you can unlock the true power of data and acquire the skill to extract meaningful insights. Unveiling Stakeholders and Impact: Learn to identify key stakeholders and understand the ripple effect in complex interconnected networks. AI’s Reality vs. Hype: Explore the potential of AI to distinguish reality from fantasy. Elevating Data Quality: Transition your team from chaos to clarity by embracing standardization, normalization, and data quality for informed decision-making. Close the Loop with Measurable Success: Pave the way for achievable goals and tangible outcomes to set the stage for succes