You do not need to wait until month-end to notice unusual stock activity. A short weekly movement review can surface mismatched units, duplicated transactions, and unexplained negative adjustments while documents are still easy to find.
Begin with the previous seven days of inventory movement data. Include date and time, item, location, movement type, quantity, unit, user or process, transaction ID, and related document. Export or save the report with a clear review timestamp. Avoid combining multiple locations without a location field.
A practical fifteen-minute triage uses three checks. First, look for large movements relative to normal item activity. A 500-unit receipt might be routine for a high-volume product and suspicious for a low-volume one. Second, find repeated or reversed postings of the same quantity and reference. Third, look for negative available balances or movements recorded after an end-of-day cutoff.
When something looks unusual, follow the document trail. Do not edit the ledger simply because a number is unfamiliar. For a receipt, compare the purchase order, physical receipt, and supplier paperwork. For a transfer, confirm shipment and destination receipt. For damage or spoilage, inspect the approved evidence. For a production transaction, check whether component consumption and finished goods were posted in the expected sequence.
Keep a small review queue with columns for issue, estimated impact, assigned reviewer, finding, next action, and due date. Prioritize by potential financial or service impact rather than raw quantity alone.
Example: A location shows a 48-piece negative adjustment on Tuesday and a 48-piece positive adjustment on Wednesday. This might be a documented correction, an incorrect bin transfer, or a duplicate posting. Record both transaction IDs and ask whether the system now matches physical stock. Equal and opposite numbers alone do not prove the issue is resolved.
Track recurring patterns over several weeks. If the same movement type repeatedly causes exceptions, focus training or validation controls there.
The goal is not to review every transaction manually. It is to catch the few movements most likely to create customer, financial, or count errors before they become old mysteries.