Gina Chung, vice president corporate development with Locus Robotics, traces the progress of artificial intelligence in the warehouse, and the ever-broadening scope of functions that it's driving today.

Inventory distortion isn't just a problem for supply chain teams; it results in missed sales, dissatisfied customers, excess wastage and capital tied up in stocks.

The rise of digitization is making warehouse processes more efficient, by automating tasks and giving employees time to focus on more complex duties.

Artificial intelligence can aid in the primary goal of warehouse management: to get the right inventory as close to the end-consumer as possible, says Corey Calla, president and CEO of SencorpWhite.

The practice of gamification is contributing to a more highly motivated workforce in the warehouse, says Ken Ramoutar, chief marketing officer of Lucas Systems Inc.

Warehouse orchestration is the answer for facilities looking to integrate and efficiently manage a multitude of discrete systems, says Keith Moore, chief executive officer of Autoscheduler.ai.

LiDAR, a remote-sensing method using pulsed lasers to measure range, is proving to be of high value in supply chain automation, says Peipei Zhao, president of North America with Robosense.

A case study about the application of drones employing artificial intelligence to the warehouse operations of Romark Logistics.

Artificial intelligence can help eliminate unneeded inventory, says Sankalp Arora, chief executive officer and co-founder of Gather AI.

Automation has been touted as the key to ramping up warehouse efficiency in the face of a shortfall of labor. But it comes with its own set of problems.