Kai Hoberg

Jul 11, 2024 | thescxchange.com | Kai Hoberg |Nikhil Singh |Nitin Goyal |Franz Dinkelacker

The landscape of forecasting is undergoing a significant transformation, driven by the advent of much smarter forecasting engines that utilize artificial intelligence (AI) and machine learning and the accessibility of structured “demand driver” data (for example, promotions, weather, or events). These innovations are dramatically improving the forecasting accuracy of planning systems, enabling them to achieve, and frequently surpass, the accuracy levels of human planners.

Jul 10, 2024 | thescxchange.com | Kai Hoberg |Jürgen Rachor |Katharina Hauck |Julian Fischer

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May 23, 2023 | supplychainquarterly.com | Knut Alicke |Katharina Hauck |Kai Hoberg |Jürgen Rachor

Today’s supply chains have faced a perfect storm of disruptions over the past three years from a global pandemic to the blockage of the Suez Canal, from port congestion to the invasion of Ukraine—to mention only a few. This new level of disruption and urgency requires managers to build robust and agile supply chain planning processes in order to appropriately respond to the massive fluctuations in supply and demand.