Self-correcting supply chains mark a shift from reactive analytics to proactive adaptation: AI that can detect disruption, ...

Supply chain leaders are increasingly turning to artificial intelligence to revolutionize their demand-forecasting and inventory-management strategies. This shift comes as traditional forecasting ...

Supply chain forecasting is becoming an increasingly critical component of operational success. Accurate forecasting enables companies to optimize inventory levels, reduce waste, enhance customer ...

Most AI tools are working with incomplete, siloed data, giving leaders a fragmented view of their own interconnected business ...

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 ...

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 ...

Editor’s Note: The SCM capstone Drop Trailer Forecasting in Volatile Networks was authored by Alex Carroll and Troy Egar. The project was supervised by Dr. Elenna Dugundji ([email protected]) and Dr.

The rise of e-commerce continues to disrupt logistics and supply chain operations, driving the need for faster, more efficient delivery models. As consumer demands evolve, traditional freight methods ...

Forbes contributors publish independent expert analyses and insights. I cover the impact of AI and Machine Learning on the supply chain. In today's manufacturing and supply chain environment, a ...

Supermarket chain Hy-Vee has optimized its distribution and transportation network with the help of three solutions from Manhattan Associates: the solution providers’ Warehouse Management System (WMS) ...