With the omnichannel becoming the standard for fulfillment, decisions on allocation and replenishment become far more complicated than just meeting demand at the store level. 

Product identification tags, from barcodes to QR codes, have become ubiquitous, to the point of being essentially invisible to consumers. Now comes a type that’s literally so.

Companies are wise to proceed cautiously as they integrate sustainability, resilience and commercial objectives.

Manufacturers can't prepare for everything, but they can prepare to be more agile when the inevitable disruptions occur.

The reason Mexico didn’t rise as a great near-shore market before was that supply chain resiliency just wasn’t top of mind in the last few decades, when landed cost was king.

Data-driven, predictive and agile supply chains can help companies achieve their net-zero emissions goals by enabling end-to-end efficiency.

It’s time to dispel the notion that data science is purely abstract and theoretical: In fact, it can and should be applied to make a practical difference in evolving warehouse performance.  

It’s time for the convergence of supply chain and manufacturing.

A September 13 report from The Conference Board found that 56% of American workers are using generative AI on the job.

Andrew Petrisin, supply chain advisor with the U.S. Department of Transportation, describes the role of the agency's Freight Logistics Optimization Works (FLOW) initiative.