There is increasing pressure in such fields as manufacturing, energy and transportation to adopt AI and machine learning to help improve efficiencies in operations, optimize workflows, enhance ...

Reverse logistics is one of the trickiest operations a retailer will undertake. Getting returns from a customer’s home back to the warehouse without losing product along the way or allowing ...

DUBLIN--(BUSINESS WIRE)--The "High-Tech Logistics - Global Strategic Business Report" has been added to ResearchAndMarkets.com's offering. The global market for High-Tech Logistics was valued at US$50 ...

Forbes Insights research shows that 65% of senior transportation-focused executives believe logistics, supply chain and transportation processes are in the midst of a renaissance—an era of profound ...

At Arrive Logistics, the key to succeeding isn’t just about relying on the right processes and strategies — it’s about leaning on people who help you along the way. Business Development Representative ...

How do you get a machine learning system to deliver value from big data? Turns out that 90% of the effort required for success in machine learning is not the algorithm or the model or the learning – ...

UNG students studying supply chain and logistics management have a wide array of tools preparing them for success in the workforce once they graduate. Article By: Clark Leonard University of North ...

Chris Ricciardi is chief operating officer of Logistical Labs. The views expressed below are solely those of the author and do not necessarily reflect those of FreightWaves. It seems like every day ...

For the past several years, machine learning as evolved by the hyperscalers has been trickling down from on high, through frameworks and services, into enterprises. Machine learning is becoming a ...

The COVID-19 pandemic swept the nation overnight with unprecedented closures and uncharted mitigation tactics in an effort to remotely resume everyday business as seamlessly as possible. The Army is ...