Every year, SMC3 Connections provides an opportunity for LTL and logistics professionals to gather, connect, and share insights that will, inevitably, define the future of the industry. This year is shaping up to be no different. The first day of this year’s conference featured an address from our keynote speaker, Olympic gold medalist Scott Hamilton, […]

If you’re new to the world of less-than-truckload (LTL), it can feel like pricing is a mysterious alchemy—half data science, half wizardry. I’ve been there. Early in my career, I knew my products and customers, but the rules behind what made freight cost what it did? That was a black box. To kickoff Summer LTL Hybrid series focused on SMC³’s LTL 203 Freight Pricing course, Kevin, Karl, and I broke that box open. Here are three insights that will help any early-career logistics professional gain confidence and clarity in navigating LTL pricing.

One-click orders and doorstep convenience have caused a new problem for logistics. It’s no longer only about getting things to consumers, but it’s also about getting them back.

In a policy climate defined by political whiplash, the trucking industry is carving a quieter, steadier path toward sustainability—often without credit, and increasingly without clear regulatory guidance.

SMC³ recently hosted an exclusive webinar delving into seismic industry shifts, offering detailed insights into tariff, impacts, the state of play in the LTL market and manufacturing outlooks.

We recently spoke with Gina Gregory, the Director of Data Services at SMC³. With a keen eye for innovation and a deep understanding of data management, Gina oversees some of the crucial processes that power our products and services with precision and integrity! With their managing of complex datasets ensuring the accuracy of information across our platforms, the Data Services department plays a vital role in driving our organization’s success. Join us as we delve into an insightful conversation, exploring the strategies, challenges, and future visions that help define our data-driven approach.