De Flow AI is an AI-powered retail analytics platform that helps retailers prevent loss, improve customer experience, and gain operational insights using advanced computer vision and artificial intelligence technology.

How does AI help with retail loss prevention?

AI analyzes video feeds and POS data in real-time to detect suspicious behavior, self-checkout fraud, and inventory shrinkage. It identifies patterns that human observers might miss, reducing retail losses by up to 30%.

What types of retail businesses can use De Flow AI?

De Flow AI serves all retail formats including supermarkets, department stores, convenience stores, and specialty retailers. The platform is especially effective for businesses with self-checkout systems, high-value merchandise, or high foot traffic.

POS × Video Integration

POS Exception-Based Reporting Meets Video: TLog Correlation Explained

By De Flow AI Team

29%

of shrink is employee theft

1-click

from exception to video

90%

less time scrubbing footage

$500-2K

per store / year on refunds

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 →