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

Agentic AI systems are becoming more ingrained in supply chain management; so much so that by 2030, 50% of cross-functional ...

But unpredictability—driven by climate, transportation volatility, and economic fluctuations—is the enemy of efficiency. Lehr ...

Supply chains have been under unprecedented pressures with challenges such as policy changes and other factors, causing health systems to rethink traditional sourcing and procurement strategies. Below ...

Amid a period marked by trade tensions, regional conflicts, and supply chain volatility, a growing number of organizations ...

Predicting drug shortages and optimising the distribution of pharmaceuticals are critical components of AI-optimised supply chain management. AI models can analyse vast amounts of data to forecast ...

Questions of supply chain security and resiliency have been growing in recent years. Sparked initially by the COVID-19 pandemic, the debate has been fuelled by the turbulent geopolitical landscape ...

The awards recognize organizations and people who are “leading with purpose and building resilient supply chains that are foundational to patient care,” GHX said in a statement.

The importance of blending DevOps best practices with MLOps, and the challenges of separate DevOps and MLOps pipelines.

Explore use of machine learning in supply chain logistics, including how machine learning can benefit your supply chain ...

Feeling the pressure to move your supply chain out of China? Before you make a costly decision, consider these real-world ...

“His extensive experience in supply chain management, combined with his proven track record of driving operational excellence and continuous improvement, makes him the perfect fit to lead our supply ...