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.
Forecasting problems are cultural, not just technical. Despite decades of improved statistical models and better MAPE ...
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 ...
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Smarter supply chains through data-driven insights
From AI-powered forecasting to real-time visibility, supply chain analytics is reshaping how businesses predict demand, manage inventory, and respond to disruptions. Leaders like Walmart are using ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Once you pinpoint the types of data needed to help mitigate supply chain risk, it’s time to acquire and manage that data for ...
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