Digital twins — virtual models simulating supply chain operations — are gaining traction in modern supply chains. However, ...

Since 2021, a massive increase in investment in advanced analytics for supply chain operations across industries ... which will reduce the need for manual updating and maintenance of data-management ...

As a result, many companies are struggling to reach the level of insights, visibility, and accuracy required to support ...

Check out these key takeaways from a recent supply chain panel featuring leaders from prominent companies in the high-tech, retail, and consumer products industries.

Key strategies such as leveraging artificial intelligence (AI), value analysis, just-in-time purchasing, and engaging the right partners are vital steps to addressing the unique supply chain needs of ...

Predictive analytics allows businesses to foresee bottlenecks before they become critical. By continuously monitoring data ...

With technological advancements, shifting patient expectations and ongoing pressures for resilience, we face both challenges ...

Digitalization offers a path toward more efficient processes, enabling brands to shift from reactive quality and compliance checks to proactive management of risks.

The MS Supply Chain Analytics curriculum provides an extensive education in operational strategy and tactics and a deep understanding of business analytics in the global supply chain. Coursework ...

The curriculum of the MS Supply Chain Analytics integrates big data analytics with supply chain quantitative methods, giving you the technical and qualitative skills essential to becoming an expert in ...

Surgere has unveiled Sophia, a new AI assistant focused on intelligent supply chain that is fully integrated into the ...

The pandemic highlighted the need for resilient supply ... chain operations. Predictive analytics, real-time monitoring, and machine learning algorithms aid organizations in making data-driven ...