An accelerated and autonomous supply chain adapts and reacts by providing visibility across systems, streamlining workflows, eliminating silos, and enabling autonomous disruption management.  

AI & ML technology integrations provide broad advantages for supply chain management. 

The progress of supply chains in adopting AI varies widely. So does the return on investment. But according to one recent study, there’s one strategy that guarantees failure: doing nothing.

Proactive intelligence enables you to balance the fine line between cost and resilience, says Brandon Daniels, chief executive officer of Exiger.

Chief information officers today face increasing pressure to keep pace with advances in technology. And that brings the role of the integration platform as a service (iPaaS) into prominence.

Predictive AI models will power smarter inventory distribution, greater pick path efficiency and dynamic order grouping, thereby improving accuracy, reducing costs and accelerating throughput.

Shein plans to sell supply chain technology to companies around the world, raising fears that sensitive logistics and customer information could be seized by the Chinese government.

Growing environmental concerns, rising consumer expectations for ethical production, and increasing regulatory pressures are pushing businesses toward sustainable operations.

While there’s little disagreement among manufacturers about what they must do to cope with ongoing supply chain disruptions, there's a significant gap between intention and action.

As retail operations become increasingly complex, the need arises for serialized data capture. That’s where tools like the 2D barcode and radio frequency identification come into play.