SAI Groups

Broadcast

SAI visual AI platform uses real-time computer vision to detect organized shoplifting and instantly alert nearby stores.This proactive intelligence helps teams act faster, reduce losses, and maintain safer retail environments.

Detailed view : Proactive Retail Protection

Traditional surveillance and manual monitoring are no longer sufficient to combat increasingly organized and habitual offenders. SAI visual AI platform leverages advanced computer vision and AI analytics to detect shoplifting in real time and broadcast warnings across all stores in the neighbourhood. This proactive approach empowers staff and security teams to respond swiftly, prevent losses, and create safer retail environments.

What is a Broadcast?

A broadcast, in the context of retail security, is an alert or warning message sent from one store to other stores in the chain in the vicinity. When a shoplifter is detected at a store location by SAI AI platform and confirmed by the store staff, they can then choose to broadcast the warning to other stores of the chain which are located within a specific distance. 

Information sharing between multiple stores is crucial because: 

  • •Real-time awareness: Store staff across the specified distance are immediately informed about potential threats.
  • •Coordinated response: Security teams can prepare and adjust protocols to prevent further incidents.
  • •Consistency: Ensures that every store within the vicinity receives the same actionable intelligence, reducing blind spots and inconsistencies in loss prevention.

How does the Broadcast feature work?

SAI visual AI platform integrates with existing camera systems and self-checkout terminals. Here’s how the broadcast feature operates:

  • 1Detection: AI-powered video analytics monitor live feeds for suspicious behaviors—such as concealing items, loitering, or repeated theft patterns. The system uses gesture, movement analysis and counting, not facial recognition, to identify shoplifting.
  • 2Identification: When a shoplifter is detected, the platform tags the incident and the individual.
  • 3Broadcasting: Based on a store staff’s input, the system sends a secure, cloud-based warning message, which includes an image of the offender, to all stores of the retail chain that are within a specific distance. Authorized store staff can configure the distance for the broadcast message. 
  • 4Staff Notification: Store staff and security teams receive alerts on handheld terminals or dashboards, enabling them to prepare and intervene proactively.
  • 5Centralized Oversight: Security Operations Centres (SOC), regional managers and loss prevention teams gain unified visibility across all locations, and can track incident rates and responses. 

Benefits of using the Broadcast feature

Proactive Loss Prevention

Staff are alerted before a repeat offender enters their store, allowing for preventive action rather than reactive investigation.

Reduced Shrinkage

Real-time detection and coordinated response minimize inventory losses and deter habitual offenders.

Enhanced Staff Safety

Security teams are better prepared, reducing the risk of confrontations and violence.

Operational Efficiency

AI-driven alerts reduce monitoring fatigue, allowing staff to focus on genuine threats.

Scalability

Works seamlessly across hundreds of locations, leveraging existing camera infrastructure without costly hardware upgrades.

Legally Admissible Evidence

Video clips and incident logs are stored for reporting and prosecution, streamlining legal processes.

FAQ

How are broadcasts sent across stores?

Alerts are transmitted over secure, cloud-based communication channels, ensuring instant delivery to all relevant staff and security teams.

What happens after a broadcast is received?

Staff and security teams can review the alert, prepare for intervention, and monitor the individual’s activity. The system supports human judgment and does not make final decisions.

How does this feature help prevent crime?

Broadcast is an effective method to share actionable intelligence across multiple stores of the retail chain and empower staff to prevent theft. By using the feature at more stores, retail stores can deter habitual offenders from attempting to steal.