First we show which parts of your data cannot be trusted
This is the first screen after connecting — before any analytics. A handsome forecast on a broken export is more dangerous than no forecast at all: people believe it.
How it works
Missing units, uncategorised items, days with no movements, duplicated receipts, negative balances, and items introduced after the initial import.
Until the problem is fixed, the item stays out of orders and out of the statistics. That is a rule, not a setting.
Exact, estimated, and “needs verification”. These must never be mixed into one number — that is precisely how you get reports where a part exceeds the whole.
Show us one critical process. We will show how it runs here.
We look at your cycle: how an order is assembled today, who decides, where time leaks and what the system takes over.