POS Exception-Based Reporting Meets Video: TLog Correlation Explained
De Flow AI Team
POS × Video Integration
POS Exception-Based Reporting Meets Video: TLog Correlation Explained
By De Flow AI Team
A Report Number Proves Nothing
Exception-based reporting (EBR) has been a loss-prevention staple for years: it scans the transaction log (TLog) for suspicious patterns — excessive voids, no-sales, manual discounts, refunds without customers. The problem is that a flagged transaction is just a number. To act, an investigator still has to find and watch the footage — and that's where cases go to die.
TLog correlation timestamp-matches every exception to the exact lane camera frame. The void, the refund, the no-sale — each one opens directly to the video that proves it.
🚩 The Exceptions Worth Watching
↩️ Voids at Tender
Items voided at the moment of payment — a classic sweethearting tell.
🚫 No-Sales
Drawer opens with no transaction — often cash handling abuse.
🏷️ Manual Discounts
Employee-applied price overrides that cluster on certain shifts.
💸 Refunds, No Customer
Refunds processed with no one at the counter in the video.
🔌 Integration Reality
Native integrations exist for the major POS platforms; everything else connects through webhooks or secure file transfer. Once the TLog flows in, every exception in the investigator UI is one click from its video — turning a multi-hour hunt into a few-minute confirmation.
"We always had exception reports. What we never had was the video next to them. Now an investigator closes in minutes what used to take a full afternoon."
— LP Analytics Manager, grocery group
Put the video next to the exception
See TLog correlation connect your POS to your cameras.
See the Integration →