Artificial Intelligence

Scottsdale, Ariz.-based Blue Yonder, a provider of AI-driven and end-to-end supply chain management services, recently said it is bringing new updates to its transportation system that combine artificial intelligence, real-time insights, and a connected network of partners. The goal is to help companies cut costs, improve delivery times, and meet sustainability goals while staying resilient in the face of disruption.

Entitled the Always-on Logistics Planner, the company described it as a premium service experience powered by a growing digital workforce of AI agents, adding that it is designed to deliver continuous execution quality across the shipment lifecycle.

San Francisco-based Augment, an AI productivity platform for logistics, announced today it has brought its total capital raised to more than $110 million, with an $85 million Series A funding round, which was led by private equity firm Redpoint Ventures, in addition to participation from 8VC, as well as other logistics and AI investors. Augment said this capital raise comes five months after the company came out of stealth mode.

Modern supply chain management (SCM) software is transforming logistics with real-time visibility, AI-driven decision-making, and seamless integration across WMS, TMS, YMS, and ERP systems. These intelligent platforms help companies boost agility, optimize operations, and respond instantly to disruptions, delivering measurable ROI and improved supply chain performance.

The 34th Annual Study of Logistics and Transportation Trends reveals a growing disconnect in the industry, as logistics professionals recognize challenges from AI adoption, workforce shortages, and tariff disruptions but struggle to take effective action. This year’s findings highlight gaps in technology implementation, workforce development, and operational strategies, offering critical insights for shippers aiming to bridge the knowing-doing gap.

The 34th Annual Study of Logistics and Transportation Trends uncovers the "great disconnect" in logistics, revealing that leaders recognize the importance of AI, workforce development, and technology integration but struggle to translate insights into action. This year’s findings offer actionable strategies for bridging the knowing/doing gap, helping supply chain and logistics professionals improve performance, adoption of emerging technologies, and operational resilience.

Recent Accenture research shows that AI-driven autonomy is transforming global supply chains, enabling faster, more agile, and sustainable operations while closing the resilience gap exposed by disruptions. By integrating intelligent systems and human-AI collaboration, companies can cut reaction times, boost productivity, and achieve long-term profitable growth across end-to-end supply chain operations.

Automation and AI-powered Yard Operating Systems are replacing outdated service frameworks to deliver real-time visibility, efficiency, and cost savings in supply chain yard management.

RAC ’25 one-day, virtual event will take place on September 17.

Enterprise Resource Planning (ERP) systems are evolving rapidly to meet the demands of modern supply chains by integrating AI, edge computing, and advanced smart technologies. These systems are bridging the gap between traditional supply chain management (SCM) modules and best-of-breed solutions, offering real-time, data-driven decision-making.

A new global study from Manhattan Associates reveals that companies are excited about leveraging AI to manage transportation, but many are still not ready. The report, based on a survey of 1,450 senior leaders across manufacturing, retail, wholesale, and food sectors, highlights big challenges—especially around data quality, system integration, and hiring skilled workers.

In warehouse operations, data can either overwhelm you—or propel you ahead.

Artificial intelligence (AI) is revolutionizing supply chain management (SCM) software by providing predictive insights, improving efficiency, and enabling autonomous operations. However, challenges like data quality concerns, high implementation costs, and system complexity are hindering many companies from fully harnessing AI's potential. This article explores the growing role of AI in SCM platforms, the benefits it offers, and the obstacles businesses must overcome to unlock its value.

C.H. Robinson explained that as it moves more LTL freight than other North American-based 3PLs, the AI agent enables LTL shippers to move over to the new NMFC classification system.

Most supply chains focus on quick AI wins, risking long-term growth and scalability.