AI’s role in supply chain management will evolve into a decision-making systems that will predict & adjust operations without human help.

To achieve digital transformation, supply chains must look beyond traditional methods to new technologies that can streamline operations, reduce costs and enhance customer satisfaction.

Penske and Snowflake use AI and data platforms to boost supply chain visibility, cut disruption and drive operational efficiency.

Supply chain technology firm Excite Panacea has unveiled an AI-powered supply chain analytics dashboard to address fragmented data and disruptions to route-to-market efficiency.

In 2025, tariffs are more than a trade policy — they’re a catalyst for supply chain transformation.

By LM Staff June 24, 2025 Schneider Electric holds the No. 1 spot for the third year in a row on Gartner’s 2025 Global Supply Chain Top 25, with NVIDIA jumping to second place. The annual list, ...

Money Air conditioner parts and coolant backlogged for weeks following supply chain issues Those looking to repair or replace their HVAC units could be looking at a delay due to supply issues.

In a message sent to FedEx team members, Raj Subramaniam, president and CEO of FedEx Corporation, wrote that Smith was more than just the pioneer of an industry and the founder of FedEx. “He was the ...

And it added that this offering has resulted in up to 10-30% percent savings in supply-chain-related expenses, with Item-Level Solutions helping on various fronts, including: visibility at the item ...

All 27 European Union member countries have agreed to push for radical cuts to ethical supply chain rules, setting the stage for tense negotiations with other EU institutions later this year. It ...

With summer in full swing in the United States, retail executives are sweating a different season – less than 22 weeks before ...

At the same time, supply-driven inflation rose in response to supply chain disruptions that raised the cost of delivered goods. Starting in early 2021, both inflation measures rose sharply before ...