
AI's contribution is not a slightly better forecast. It is dynamic, probabilistic buffers that recalibrate continuously based on demand variability, lead time risk, and SKU criticality, plus faster planner decisions when something breaks. Flowlity customers have seen this translate into double-digit inventory reductions while protecting service, including −13% at Magotteaux (cement and mining) and −38% at Plum Living (DTC interior design). The mechanism is straightforward: when buffers reflect real risk per SKU period instead of a single blanket coverage rule, working capital concentrates where it actually protects service, and rotates out of items that no longer justify the stock.