Chachere Shelton

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…

Supply chains are more volatile and interconnected than ever, but many planning processes still rely on disconnected systems, manual analysis, and spreadsheet-based interventions. This white paper explores how network optimization, supported by advances in optimization technology, workflow design, cloud computing, and AI, can help planning teams evaluate cross-functional trade-offs, respond faster to change, and move from static plans to continuous, decision-driven supply chain planning. Inside the White Paper: – Why traditional planning systems and network optimization evolved separately, and why that separation limits decision quality in today’s supply chains. – How network optimization helps evaluate cross-functional trade-offs across sourcing, production, inventory, transportation, fulfillment, service, cost, and capacity. – Why continuous network optimization is different from one-time strategic modeling, and how it can support recurring tactical and operational planning decisions. – How AI and configurable workflows can make optimization more usable for planners without requiring them to become modeling experts. – How planning systems and network optimization can work together in a feedback loop that improves decisions over time. Click here to download