Unlock the power of autonomous forecasting with Part 2 of our 4-part series on mastering demand planning using the o9 platform. This video delves into the crucial role of the Analysis Cockpit in automating and enhancing forecast accuracy, a key to achieving autonomous forecasting that traditional solutions struggle with. Discover how the o9 platform identifies forecast goodness and reasonability, automatically highlighting violations against historical trends, seasonality, levels, or patterns, and how it facilitates quick identification of areas for improvement.

In this installment, we cover: u003cbru003e- The significance of the Analysis Cockpit in transitioning forecasting from a reactive to a proactive process. u003cbru003e- Examples showcasing how demand analysts are alerted to suboptimal forecasts through trend, seasonality, level, and range violations. u003cbru003e- Insights into the o9 algorithm insights cockpit, designed to help planners fine-tune or eliminate underperforming algorithms, enhancing overall forecast effectiveness.

Through this video, gain insights into how the Analysis Cockpit streamlines the forecasting process, enabling you to efficiently address forecast exceptions and benchmark performance. This tool is instrumental in moving from data to actionable knowledge, promoting efficiency, transparency, and accuracy in demand planning.