AI-driven forecasting and optimization are transforming the automotive supply chain, improving demand accuracy, cutting inventory costs, and enhancing resilience. Studies highlight gains from ensemble ...

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.

Once upon a time, supply-chain forecasts were more predictable, governed by seasonal patterns and broad economic factors. However, during the pandemic, the combination of countless production and ...

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 ...

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 ...

As discussed at The Association for Health Care Resource & Materials Management (AHRMM) 21+ virtual conference on September 14-16th, gaps in technology or data can reinforce silos in healthcare supply ...

Automotive manufacturers and dealerships are increasingly using predictive AI to forecast inventory needs with greater accuracy, aligning stock with consumer demand while reducing costs. By analyzing ...

Once you pinpoint the types of data needed to help mitigate supply chain risk, it’s time to acquire and manage that data for ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

Companies are replacing transactional, competitive supply chains with collaborative partnerships to boost resilience, ...

It is safe to assume that any service provider in the logistics industry will tell you that their process of managing a supply chain is the most efficient, and that they implement the most effective ...