Brandi Boatner

It’s an exciting, transformative period for the global supply chain. After several years of disruptions from the pandemic, high-stakes labor challenges, and unstable global trade, supply chain innovators are looking to future-focused solutions that can help logistics professionals not just survive, but thrive in this complex environment. In this article, we explore nine FreightTech solutions (in no particular order) that are making a significant impact in 2024. 1. Axle: Streamlining Back-Office Operations with AI Axle Technologies is modernizing the logistics industry by leveraging artificial intelligence to streamline time-consuming back-office operations. Their universal data platform simplifies access to logistics data, enabling companies to optimize deliveries, reduce fuel costs, and enhance the sustainability and profitability of trucking. Axle embraces diversity, collaboration, and the 80-20 rule, understanding that customer feedback is essential for innovation. By wrangling diverse data sources into a universal schema, Axle is building the transportation infrastructure of tomorrow, making the industry more efficient and resilient. 2. EAIGLE: Enhancing Visibility with AI EAIGLE uses AI to provide unprecedented visibility into operations at gates and yards. Their end-to-end AI platform works with existing or third-party hardware, including optical and infrared cameras and radar sensors. This hardware-agnostic approach ensures superior accuracy, eliminating false…

Special Guest Blog Post written by Deborah Dull   Imagine it’s launch season in your supply chain, and a team of AI agents is hard at work: coordinating shipments with suppliers, allocating inventory, and handling a missed delivery. It’s hard to go a day without hearing about the latest AI headlines: new LLMs, new applications, new use cases. These discussions are part of my every day. Business leaders and IT teams are eager to explore – and they have a lot of questions… and apprehension. In these discussions, we have found one framework that lands consistently: consider AI agents like new hires, not new software.   Step 1: Hire Like You Mean It Just like hiring humans, this step is about defining what you need. The first decision is the purpose of the role: what problems are you trying to solve? Where are your people overwhelmed? Where is your business growing in coming months? From here, the next decision is to build the business case just like you would for a new headcount. For example, consider the ROI of having a digital employee who can process supplier performance data 24/7. Now, decide on the type of agent that will join…