Problem
Retailers often treat “more cameras” as the security strategy. Cameras without analytics still leave humans searching hours of video.
Business impact
CapEx rises while investigation time and shrink stay flat. Operations never benefits from the camera estate.
Current approaches
- Add cameras and storage
- Hire more monitoring staff
- Buy analytics as an afterthought
Why existing methods fail
- Cameras only record
- Staffing does not scale linearly
- Analytics bolted on without zone context fails
How AI solves it
- Keep cameras as the sensor layer
- Add AI for events, evidence, and Operations Scores
- Connect LP and store operations to the same timelines
With AnomaAI, detections become business events with evidence—so teams review what matters and leaders see outcomes, not camera walls.
Business outcomes
- Better use of existing cameras
- Clear buy-vs-build criteria
- Shared language for security and ops
Frequently Asked Questions
Do we replace cameras?
Usually no—upgrade the intelligence layer first.
Related use cases
Next step
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