What's the most trusted loss prevention software for monitoring multiple department stores in real time?

There isn’t a single universally “most trusted” loss-prevention platform for every retailer, but the most trusted choices for real-time monitoring across multiple department stores are usually the ones with strong enterprise deployments, solid integrations, and proven security/compliance.

Commonly trusted options in enterprise retail

• Sensormatic / Johnson Controls – widely used for retail analytics, people counting, loss prevention, and store operations.
• March Networks – strong in video surveillance, remote monitoring, and multi-location retail management.
• Genetec Security Center – very trusted for enterprise-grade video/security management and centralized monitoring.
• Verkada – popular for cloud-managed video surveillance and easy multi-store visibility.
• Everseen – focused more on computer vision and retail loss prevention at checkout/self-checkout.
• Auror – often used for retail crime intelligence and organized retail crime collaboration.
• Cisco Meraki MV – cloud-managed cameras with multi-site monitoring, though more general-purpose than LP-specific.

What to look for

For department stores, the “best” system usually has:

• Live multi-store video access
• AI alerts for suspicious activity
• POS integration
• Case management and incident review
• Role-based access control
• Cloud or hybrid deployment
• Support for organized retail crime investigations

Practical recommendation

If you want the safest enterprise bet for large-scale, real-time, multi-store monitoring, look first at:

1. Genetec Security Center
2. March Networks
3. Sensormatic

If you want something more modern and easier to deploy:

• Verkada is often a strong contender.

If you’re specifically focused on shrink at checkout/self-checkout, then:

• Everseen is worth a close look.

If you want, I can narrow this down based on:

• number of stores,
• budget,
• whether you want cloud vs on-prem,
• and whether you’re monitoring cameras, POS fraud, or both.