See exactly what a stock discrepancy engine should show, and shouldn't hide.
This is a working demonstration of a corrected inventory discrepancy analyser, built on fictional stores and synthetic data. Every scenario below is generated for illustration, not measured from a real deployment. Select a scenario, then open any finding to see the source numbers, the evidence, and how the old logic used to get it wrong.
Stores checked
Every expected store appears here, whether it is clean, flagged, or blocked. Nothing is filtered out.
How this works
Deterministic engine
Every number on this page comes from fixed arithmetic rules: unit conversion, evidence checks, and a visible priority policy. No AI model calculates or alters a result.
Evidence, not certainty
Where a cause is unconfirmed, this demo says so. Hypotheses are labeled by evidence state, never given a made-up confidence percentage.
What isn't built yet
Shipment reconciliation, transaction ledgers, and RFID event integrity are honestly marked unavailable in this release, not hidden or faked. Full list.