RetailIQ

Retail inventory decisions are usually made off last month's sales report, which means a stockout on a fast-moving item is often discovered only when a customer hits an "out of stock" page — well after the reorder window that would have prevented it has closed.

RetailIQ was built around the reorder decision, not the sales report. Instead of a dashboard managers check periodically, the platform's core loop is a forecasting model that watches every SKU continuously and only surfaces a decision when one is actually needed.

A demand-forecasting model projects expected sell-through for each SKU against current inventory and incoming supplier lead times, and flags any item on a trajectory toward a stockout early enough to reorder before it happens. For SKUs with a stable, well-understood demand pattern, the platform can generate the reorder automatically within merchant-defined limits, rather than waiting for a manager to act on an alert.

Fast-moving SKUs get reordered on a forecasted trajectory instead of a fixed monthly cycle, catching stockout risk while there's still time to act on it, and merchants spend less time manually reviewing inventory reports that used to be the only way to catch a stockout coming.