What makes Flowlity different from other MEIO solutions?

Unlike traditional planning tools that rely on deterministic models — one forecast, one fixed inventory target — Flowlity uses probabilistic Artificial Intelligence to model demand uncertainty explicitly. Every SKU at every location is represented by a range of likely outcomes and a confidence level, so inventory decisions reflect real variability rather than a single best guess.

This probabilistic engine continuously adapts inventory targets as new data arrives, without requiring manual re-parameterization.

Combined with fast deployment through pre-built ERP connectors and a planner-centric interface built for mid-market teams rather than large data science groups, the approach delivers measurable results quickly: higher adoption from planners who can see the "why" behind each recommendation, and more resilient Supply Chain planning compared to legacy systems that struggle as volatility increases.