Supply chains are looking to warehouse management systems and other cutting-edge applications to cope with demand ...

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 ...

In a volatile landscape, supply chain leaders must go beyond cost-cutting to build resilient, data-driven operations.

Business Analytics for Supply Chain (Instructors: Justin Goodson, Ph.D. and Abhi Gupta, Ph.D.) Thursday-Friday, April 24-25: Transportation and Warehouse Management Business analytics is the art of ...

When supply chain disruptions make headlines ... Businesses struggle with labeling errors, data silos, inefficient warehouse receiving, and poor communication with suppliers. These issues often stem ...

RFID and data analytics are powerful—yet often underutilized—tools for warehouses eager to boost efficiency and reduce errors ...

Artificial intelligence (AI) is transforming supply chain management ... we’re gradually shifting toward a model where data truly drives decision making. For other organizations considering ...

Another company, Premier, developed its AI model during the COVID-19 pandemic to analyze supply chain data to predict personal protective equipment shortages. The company expanded its model to ...