Franz Dinkelacker

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.