Quytech launches AI theft detection system for retail and logistics

Quytech has launched an AI-powered theft detection system that monitors CCTV, POS, and warehouse data to flag cashier fraud, shoplifting, and inventory loss in real time. The move targets a retail shrink problem that cost U.S. retailers $90 billion in 2025, with $66 billion considered preventable.

Why it matters: - U.S. retailers lost $90 billion to inventory shrink in 2025, and $66 billion of that was preventable, according to the Appriss Retail 2026 Total Retail Loss Benchmark Report. - Shoplifting alone cost the industry an estimated $47.8 billion, up from $45 billion in 2024, based on Capital One Shopping research. - Retailers and logistics operators can lose money before manual audits catch fraud, mismatched inventory, or cash handling errors.

What happened: - Quytech launched an AI-powered theft detection system for retail and logistics. - The system monitors CCTV feeds in real time to detect cashier theft, shoplifting, and inventory loss in warehouses. - The product integrates with existing CCTV, POS, and warehouse management setups. - The system does not require new hardware.

The details: - The platform flags suspicious activity when cashier behavior does not match transaction history or inventory data. - Alerts include a video clip as evidence. - Quytech said the system is designed to work without disrupting existing workflows. - Quytech said it has already deployed AI capabilities across more than 1,000 cameras for clients. - Siddharth Garg, CEO at Quytech, said the system was built to help businesses detect theft as it happens and act on it through integration with POS and warehouse management systems. - Garg said each flag includes the exact moment on video and the exact transaction that does not match.

Between the lines: - The launch targets theft patterns that camera footage alone often misses, including cash pocketing, unauthorized discounts, and warehouse stock mismatches. - The emphasis on existing infrastructure suggests Quytech is pitching the system as a lower-friction upgrade for multi-location operators. - The company is leaning on evidence pairing, video plus transaction data, to reduce ambiguity in loss investigations.

What's next: - Retailers and logistics firms can expect tighter real-time monitoring of shrink-related activity if they adopt the system. - Wider adoption will likely depend on how well the platform scales across large store and warehouse networks. - Quytech is positioning the product for businesses that want faster detection before losses surface in later audits.

The bottom line: - Quytech is betting that real-time AI, tied to existing CCTV and transaction systems, can close a costly gap between when theft happens and when retailers notice it.