AI innovation delivers transparency, speed, and confidence to help planners, buyers and supply chain executives act faster, without guesswork. Blue Ridge, the leader in supply chain planning software ...

Companies' competitiveness in the logistics industry is greatly increased by efficient supply networks. According to research ...

Supply chains today are more complex than ever before. Disruptions created by material shortages, climate disasters, and geopolitical tensions have added to an already complicated process, leaving ...

The VN1 Forecasting Challenge is a collaborative effort by Flieber, Syrup Tech, and SupChains to push the boundaries of AI in supply chain management. By leveraging their combined expertise, the ...

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

From new tariffs and trade uncertainty to geopolitical tension and extreme weather events, external forces have upended traditional demand forecasting approaches. Among those most impacted are the CPG ...

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 ...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

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