Retail

Vision Intelligence for Smarter Retail Operations

Improve monitoring, reduce blind spots, and support faster response across stores and commercial environments.

Industry Challenges

Common Retail Pain Points

Blind spots in monitoring

Large stores and multiple floors make it difficult to watch every area in real time.

Slow incident response

Security teams often learn about incidents after the fact through footage review.

Staffing limitations

Not enough personnel to monitor every camera feed simultaneously.

Shrinkage and theft

Retail theft remains a persistent operational challenge with limited detection tools.

Use Cases

IndoAI Use Cases for Retail

Recommended Products

The Right Setup for Retail

Edge AI Camera

Purpose-built cameras with on-device AI for new retail deployments.

Edge Box

Add AI to existing store CCTV systems without hardware replacement.

AI Box

Centralized processing for multi-camera retail environments.

Recommended Models

AI Models for Retail

Theft Detection

Face Recognition

Crowd Monitoring

Intrusion Detection

Fire & Smoke

ANPR

Sample Workflow

How It Works in Retail

Camera detects suspicious activity

AI model classifies the event

Alert sent to security team

Evidence captured and logged

Outcomes

Expected Results

Faster incident detection

Reduced shrinkage

Better staff utilization

Streamlined security workflows

FAQ

Common Questions

Can IndoAI work with our existing store cameras?

Yes. The Edge Box connects to existing IP and analog cameras via RTSP, adding AI without replacing hardware.

The theft detection model identifies suspicious behaviors and actions in real time, triggering alerts for security teams.

IndoAI supports multi-site deployments managed through a centralized dashboard.

IndoAI processes video locally on the edge. No customer data is stored or transmitted to the cloud unless explicitly configured.

Ready to Upgrade Retail Surveillance?

See how IndoAI can improve monitoring and security across your retail operations.