In today’s fast-moving digital economy, efficient supply chain management is impossible without proper data handling. At the ...

Artificial intelligence is not just coming at you from mega tech companies like Microsoft. It is under development among ...

Common use cases of AI in the supply chain illustrate the benefits for companies of integrating AI into their operations.

In today's supply ... model that's built upon a data fabric architecture, the data scientist has a more accurate view of inventory level trends over time and predictions for the future. Supply ...

If you’re deploying or integrating AI at scale, blind spots can quietly introduce bias, security vulnerabilities or ...

one that brings together data from key business and supply chain systems throughout the evolution of the control tower initiative. An efficient supply chain control tower relies on high-quality data ...

DHL Supply Chain first addressed this challenge through the introduction of our MySupplyChain visibility platform. MySupplyChain integrates data from warehouse and transportation applications to ...

Companies recruit specialists to help them generate, manage and interpret the flood of data that is the lifeblood of modern supply chains. Hence, job titles such as data analyst, data engineer and ...

It can affect the rest of the chain and can be costly if one link breaks. What Are the Main Supply Chain Models? The supply chain model that a ... government data, original reporting, and ...

FreightWaves recently partnered with G3 Logistics and EY to host a webinar on supply chain disruptions and strategies to stay ...

“This bold approach is not just about delivering products but also solving the systemic issues that have plagued the data center supply chain for ... and streamline warehouse operations to ...

The schematic illustrates a framework of the supply chain contagion-adjusted financial stress model. Firm-to-firm network ... We derive meaning from data from a range of disciplines — economics ...