Next-generation AI loss prevention designed specifically for fashion retail.
Apparel stores are a high-noise environment: constant product handling, fitting rooms and more. Generic retail AI often struggles to stay practical for store staff.
Customers touch, compare, carry, and try on items — normal behavior looks suspicious in many generic systems.
Visibility drops precisely where risk increases. Fashion needs a setup that accounts for real store layout.
Many stores rely on sales associates — alerts must be actionable and low on false alarms.
AegisCV is building a next-generation loss prevention system designed specifically for fashion retail. The current system focuses on detecting high-risk concealment events in real time.
Built around apparel-store scenarios, not grocery-style assumptions.
We refine detection and reduce false alerts using real store conditions and feedback.
Expanding toward broader context-aware risk evaluation tailored to fashion environments.
Help shape the fashion loss prevention standard with a focused pilot and measurable feedback.
A simple deployment flow designed for fast pilots.
Connect to existing cameras
Use your current store camera infrastructure.
Configure high-risk areas
Store-specific setup based on layout (e.g., fitting rooms, accessories).
Real-time detection
Detect high-risk concealment events as they happen.
Smart alerts to staff
Actionable notifications designed for store teams.
AegisCV does not use facial recognition. The system analyzes behavior patterns — not identities — and is built with European privacy standards in mind.
We focus on behavior signals relevant to loss prevention without identifying people.
Designed to align with GDPR principles and privacy expectations in Europe.
Clear pilot goals and store-specific setup help avoid unnecessary data collection.
Netherlands-based. For pilots, partnerships, or introductions.
info@aegiscv.com