Time series forecasting is central to modern supply chain management, enabling organisations to anticipate future demand, optimise inventory levels and streamline logistics. Classical statistical ...

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

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.

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 was never an easy process. Millions of dollars were lost each year due to inventory overstock and understock even before the Covid-19 pandemic. Forecasting grows even more ...

Editor’s note: This article first appeared on the University of Tennessee, Knoxville’s Global Supply Chain Institute’s blog. It is being reprinted with permission. You can read the original post here.

For generations of supply chain leaders, the key words and phrases that dominated were optimization, rationalization, cost reduction, inventory reduction and so on. The basic performance of the supply ...

Roger Mayerson, senior vice president and industry principal of apparel and soft goods at AI supply chain planning software company Logility, sees this post-pandemic period as challenging for ...