
It is a planning solution that uses machine learning (ML) algorithms to improve demand forecasting, inventory optimization, and replenishment decisions. Unlike tools built on static rules or spreadsheets, it continuously analyses historical and real time data to generate predictive recommendations. Rather than committing to a single forecast number, it models demand as a range of likely outcomes, so plans stay robust when actual demand moves. The goal is to help planning teams make faster, more reliable decisions while reducing inventory risk and operational complexity.