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.

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

Most companies pursuing supply chain AI are making a critical mistake: They start with technology before fixing the data ...

At a time when margins are tight and economic volatility is relentless, the ability to plan with accuracy is invaluable for suppliers and distributors. When supply chain partners are able to ...

The machine learning market is growing in leaps and bounds, and experts project continued growth. A report by McKinsey indicates that AI has a large potential to be a significant driver of economic ...

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 ...

Technological advances, segmented demand, and regional nuances drive strategic opportunities in flexible procurement, ...

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 ...