Location data, digitization, and sustainability initiatives will contribute to accuracy, predictability and carbon efficiency this year.

Warehouses face continuing headwinds from e-commerce demand and labor shortages. Automation has gradually gained acceptance as a way to improve efficiency throughout, while holding onto a finite workforce with better working conditions.

Vision capabilities provide warehousing workers and operations with simplicity, efficiency, and accuracy in generating, communicating and performing tasks that systems based on voice, radio frequency and paper can’t.

Manufacturers, distributors and retailers need to pivot to a smart just-in-telligent methodology, blending just-in-time and just-in-case with the science of artificial intelligence (AI) and automation.

The pandemic, as well as geopolitical challenges, have triggered a rise in digitization across industry sectors, and manufacturing and logistics are no exception.

Artificial intelligence has penetrated virtually every aspect of modern life, and last-mile delivery is no exception, says Bart De Muynck, chief industry officer with project 44.

Data storage managers should aim to extend the life of their data center hardware, move data to the cloud whenever possible, and delete data that is simply wasting space and money.

Advances in data science, artificial intelligence (AI), the internet of things (IoT), 5G networks and more are being used to turn challenges into opportunities.

What is a "smart" warehouse? And is it here already, or a vision of the future? Dan Gilmore, chief marketing officer of Softeon, has answers.

Intelligent prediction is more important than ever in enabling our vastly complex supply chains to operate in real time and deliver on customers’ needs.