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 ...

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 ...

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 ...

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 ...

Editor's note: TVS Motor Company, a global automotive manufacturer deployed a secure, locally hosted private LLM alongside a multi-model ensemble forecasting engine. The approach strengthened ...