Integrating intelligent technologies like artificial intelligence (AI) and machine learning (ML) into supply chain management can enhance predictive maintenance, improve quality control, and detect ...

Few industries of this size remain as fragmented and labor-intensive as logistics and supply chain management. Armstrong & Associates estimates the third-party logistics segment alone accounted for $1 ...

The study identifies a less visible but increasingly important countertrend: the rapid growth in energy consumption driven by AI itself. Training large machine learning models, running continuous ...

Traditional supply chain systems have promised end-to-end visibility and self-service analytics for years, but the experience ...

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

Abstract: This article discusses the transformative impact of advanced technologies on supply chain and warehousing operations. This article examines key innovations such as automation, robotics, ...

Overview:  Bigger models don’t automatically perform better in supply chains. For routine operations like inventory checks, ...

The modern supply chain is a sprawling international network that has to be able to react to sudden swings in demand, new ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...