Concepts

The core ideas behind Flowlity, used across several modules.

This section explains the ideas behind Flowlity. Each concept shows up in several modules and settings pages: understanding it once helps you everywhere in the app. Each page links to the how-to guide that puts it into practice.

Lists, metrics and alerts

• Views and filtering: saved filters, columns, sorting and grouping, and how views scope automations. In practice: Filter, sort and group a list and Set up and manage views.

• KPIs: metric columns you add to the Demand and Planning lists. In practice: Add KPI columns.

• Metrics glossary: what MAPE, MAE, FVA, stock coverage, zero stock days and the other metrics mean.

• Alerts: stock, demand and order alerts, and how to find the urgent ones.

Demand and forecasting

• Demand forecasting explained: how Flowlity's probabilistic forecast works, confidence ranges and forecast accuracy.

• Forecast events and demand adjustments: the event lifecycle, anomaly detection, and how the demand anomaly agent works with your data.

• Product similarities: link related products to share demand history, manage replacements and help new products.

Inventory and supply

• Inventory strategies: MTS Flowlity AI, My min, Reorder point, Reorder point + AI, MTO and No replenishment, and when to use each.

• Safety stock settings: service levels, the Flowlity Min / Max corridor, and default vs product-level settings.

• How Flowlity calculates Stock Min: what drives the minimum stock level.

• Supplier constraints and order management: lead time, MOQ, order multiple, closures, and how they shape orders.

Collaboration

• Comments: one comment thread per product, shared with order line comments.