Is probabilistic forecasting more complex to use?

No. Modern tools hide complexity and present insights in an intuitive way. Planners do not need to manipulate probability distributions directly: the platform surfaces the median forecast, the upper percentile and the recommended buffer for each SKU period, alongside clear exception alerts when something requires attention. The probabilistic logic runs underneath, while the planner interface stays close to familiar concepts such as service level, coverage and lead time. The benefit is that decision quality improves without retraining the team on new statistical methods. In practice, adoption tends to be faster than rule-based tools, because the recommendations align more naturally with how planners already think about risk.