AI can standardize and synchronize data across supply chain platforms, reducing errors and delays. That’s how you get a ...

Supply chains remain complex. From fluctuating global demand to persistent inflation worries and stringent sustainability ...

Machine learning (ML) is the workhorse of AI in supply chains. These algorithms learn from historical data to recognize ...

Geopolitical tensions further complicate global logistics. Conflict in the Middle East has cut Suez Canal traffic by 50 per ...

The auto industry faces big supply chain challenges that only those who are experts at data analysis and manipulation can ...

As business leaders look ahead, here are the areas that will help organizations meet today’s supply chain pressures, and better position companies for long-term adaptability and resilience.

The plan involves clustering sites in specific areas, potentially dividing the land into 30-acre plots. "There are supply chain companies that need to be right across the street from Micron as ...

and compliance teams to collaborate on the most meaningful areas for impact and performance like uncovering supply chain risks and accelerating GHG reductions to navigate market and climate pressures.

Between avoiding empty miles, reducing fuel consumption, and utilizing resources/materials, there are countless areas of the supply chain that could be optimized through quantitative analysis ...

Chief Supply Chain Officer at Advent Health (Altamonte Springs, Fla.): COVID challenged traditional healthcare operations and created new requirements for supply chain reliability and resiliency.

As Canada Post braces for a nationwide strike on May 22, retail supply chain expert Gary Newbury warns of lasting damage to e-commerce and remote retail operations.