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 ...

Picture a single forecasting mistake triggering a cascade of negative consequences, such as surplus inventory, strained supplier relationships and disappointed customers. In today's world, accurate ...

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 ...

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 ...

In a time when the healthcare supply chain industry is a dynamic and complex environment, it is important to learn from each other’s supply strategies. The healthcare sector is reexamining how 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 ...

The healthcare sector is reexamining how to build greater flexibility into supply chains while preserving efficiency and preparing for future shocks to the system. Sharing best practices can uncover ...

AI models can process thousands of factors simultaneously, including demand signals across multiple items, macroeconomic ...

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 ...