Most shipping decisions aren’t wrong. They’re just not totally right. The right carrier, just not for that shipment. The right service level, just slightly too fast. The right packaging, just a little off. Individually, these decisions look fine. But across thousands of shipments, they quietly turn into real cost, performance issues, and missed opportunities. At EasyPost, we’ve processed billions of shipments across 100+ carriers. And when you look at that volume of data, patterns start to emerge. The biggest cost drivers aren’t always obvious. They show up in small, everyday decisions that are almost right but just not quite there. In this session, we’ll break down the specific areas where companies are consistently losing money when they don’t need to be. More importantly, we’ll show you how to tighten those decisions so your operation runs more efficiently without adding complexity or slowing things down. What You’ll Walk Away With -How to pick the RIGHT carrier for you needs -How to choose the RIGHT service level -How to make the RIGHT packaging decisions -How to make the RIGHT routing decisions -How to execute the RIGHT decision every time

Today’s ecosystem is fraught with volatility, uncertainty, complexity, and ambiguity (vuca) brought on by 2+ years of COVID, the war in Ukraine and multiple socio-political factors. Demand Planners carry the huge responsibility to navigate their organization through these difficult times but are left with traditional tools, starting from the assumption that the past will repeat itself. However, research conducted over the past two years indicate that demand forecasting investments made in AI-based platforms can return up to 6 times greater benefits over investments made in traditional planning systems.   This raises a few questions: Should planners autonomously embrace these new technologies to guide their organization through change? What changes can AI bring to an organization’s planning environment? How will it impact demand planning roles, and will humans be able to stay in control?   In this webinar, experts from Garvis will discuss this topic together with Robert Byrne, the inventor of “Demand Sensing”. They will bring more clarity to these questions and talk about the potential behind a new generation of AI planning solutions.