Checkout Queue Monitoring
Long queues drive walkaways before purchase.
Queue · 6 customers
Empty Shelf
Person
Customer
Cleaning Cart
Spill Detected
Suspicious Activity
Checkout Open
AnomaAI
AI Retail Security
AI Retail Security & Operations Platform
Turn store security cameras into retail video analytics—AI CCTV for shoplifting detection, checkout queue monitoring, customer counting, shelf monitoring, and retail loss prevention, without replacing your existing cameras.
Store Health Score
87Live · All cameras online
Store security & operations
Why Retail Stores Need AI Video Analytics
Shoplifting Detection
Retail loss prevention investigations take too long.
Cleaning Operations
Managers cannot verify completed cleaning tasks.
Shelf Monitoring
Empty shelves stay undetected and products stay unavailable.
Store Floor Operations
No live visibility into queues, coverage gaps and operational exceptions on the floor.
Store Traffic Analytics
Regional managers lack live multi-store operational overview.
Retail video analytics
AI Retail Security That Sees Every Aisle
Intelligent video analytics and computer vision retail detection across your floor—hover any signal to inspect the live operational layer.
Customer
Person
Queue
Cleaning Activity
Cleaning Cart
Wet Floor Sign
Spill
Shopping Cart
Shelf
Cash Register
Exit
Suspicious Behavior
CustomerPersonQueueCleaning CartSpillShelf
Cleaning Activity
Wet Floor Sign
Cleaning Cart
Store safety & quality
Cleaning Operations Verification
Not employee surveillance — automatic verification that cleaning work happened to standard, with evidence for every zone and store safety compliance.
- Cleaning routes completed
- Cleaning duration
- Zone coverage
- Missed areas
- Spill response time
- Cleaning schedule compliance
- Wet floor sign verification
- Cleaning evidence clips
- Daily cleaning reports
Cleaning Compliance
96%
Zones Completed
28
Missed Areas
2
Average Cleaning Time
11 min
Active Cleaning Time
5h 47m
Shelf & cold-area operations
Smart Product Recovery — Reduce product loss and cold-chain risk.
AnomaAI detects when products leave their expected zones, are left in the wrong area, or stay outside long enough that teams should intervene—so store staff can act before loss or cold-chain disruption grows.
- Detect products leaving expected zones
- Identify abandoned products on the floor or in aisles
- Flag products left in the wrong zone
- Cold-chain risk alerts for frozen and chilled goods
- Duration-based risk analysis with configurable thresholds
- AI tracking of product movement across frames
- Automatic retrieval of the related camera clip
- AI-assisted event investigation for faster review
Left Expected Zone
Cold-Chain Risk
Store Alert
Example recovery flow
Frozen product
Removed from freezer
Still outside after 10 minutes
Cold-chain risk
Store team alert
Cold-chain risk means the product remained outside its expected cold area past a configured time threshold. AnomaAI does not measure product temperature.
Checkout & retail operations
POS Intelligence
Validate checkout transactions with AI. By correlating POS transaction data with camera views—when integrated with supported POS systems—AnomaAI helps teams spot possible product and transaction mismatches and open the right video for review.
- Match POS transactions with camera views
- Compare sale lines with observed product counts
- Flag possible item-level or total-count mismatches
- Highlight VOID, REFUND, CANCEL, DISCOUNT, and NO SALE events
- Locate the related camera and time window automatically
- Surface the relevant video clip for review
- Support AI review as NORMAL, SUSPICIOUS, or UNKNOWN
- Ready for future PTZ focus and deep analysis on supported cameras
POS Event
Camera Match
Review Clip
Correlation flow
POS
Camera
AI Product Analysis
Transaction Correlation
Discrepancy Detection
Video Investigation
A difference between POS data and camera observations is a possible mismatch for review—not automatic proof of theft. On PTZ-capable cameras, a high-priority review can later drive AI-assisted focus and zoom for deeper analysis.
AI store manager
AI Store Manager — Run your store with AI.
AnomaAI brings together camera, POS and operational events to show what is happening, what needs attention, and what should be reviewed next.
From alerts to decisions.
AnomaAI doesn't just detect events. It prioritizes what matters, adds context, and shows what should be reviewed next.
Retail intelligence flow
POS
Queue
Shelf
Safety
Receiving
Product Recovery
Loss Prevention
AI Store Manager
Context
Priority
Correlation
Recommendations
Manager Brief
- Unify important store events in one view
- Prioritize critical issues for review
- Help spot rising operational risk earlier
- Correlate POS, queue, safety, and operations events when available
- Show related camera, POS, and time context with prioritized events
- Surface action and review recommendations
- Help highlight recurring operational problems
- Support a daily store operations summary
Feeds the AI Store Manager
Example AI Store Brief
Goodwill Store #12
Critical
- POS discrepancy — Checkout 4
- Emergency exit blocked
Emerging
- Queue increasing — Checkout 7
Operations
- Receiving wait — 6 min
- Cold-chain risk — Frozen aisle
Recommended actions
- 1Review Checkout 4 transaction.
- 2Check emergency exit.
- 3Consider additional checkout support.
Context & evidence
Important events can include review context.
When the event and clip infrastructure supports it, teams can open the related camera view and time window for review—without hunting through hours of footage.
Event
Camera
Timestamp
Video Clip
Investigation
Clip availability depends on camera coverage and configured event workflows. AnomaAI does not claim a video clip for every signal.
How AI Store Manager works
Observe
Bring together camera, POS, and operational signals across the store.
Prioritize
Rank what needs attention now versus what can wait.
Explain
Attach zone, time, and related signals so teams understand context.
Recommend
Suggest the next review or action—final decisions stay with staff.
Example recommendations
Queue
Consider opening an additional checkout.
POS
Review the related transaction and camera footage.
Safety
Check the location immediately.
Receiving
Check the receiving area and delivery status.
Cold-chain
Check the product and return it to the appropriate cold area if necessary.
High-priority events can be connected to supported PTZ workflows for deeper visual investigation.
Retail intelligence
Retail Executive Dashboard
Morning multi-store visibility for leaders—alongside AI Store Manager’s prioritized operational view for day-to-day store attention.
Today's Store Summary
Store #184 · Generated 06:42
Customer Counting
8,432
Queue Events
11
Cleaning Compliance
96%
Shrink Alerts
2
POS Reviews
3
Empty Shelf Alerts
7
Estimated Productivity Improvement
+14%
AI Recommendations
- 1Open Register #4
- 2Restock Dairy Section
- 3Review cold-chain risk · Frozen aisle
- 4Review POS mismatch at Register #2 · 16:42
Measurable results
Retail Operations Intelligence Outcomes
Faster checkout queue monitoring response
Shorter shrink and shoplifting investigations
Verified cleaning operations every shift
Clearer store floor operations insights
Earlier visibility into cold-chain risk and abandoned products
Faster review of possible POS–camera mismatches
Higher customer satisfaction at checkout
Consistent multi-store operational standards
Faster store security incident response
Clearer executive retail dashboard visibility
Faster review of prioritized store events
Earlier visibility into issues that need attention
Clearer detection of recurring operational problems
Camera and POS signals reviewed together
Better visibility across store operations
Teams focused on the next meaningful action
Retail AI capabilities
Retail Video Analytics Use Cases
Retail operations software
From Retail Surveillance to Retail Intelligence
Before
- Managers watch store security cameras.
- Cleaning verified manually.
- Problems discovered after customer complaints.
- Hours spent reviewing CCTV footage.
- Store decisions based on intuition.
After
- AI CCTV watches every camera.
- Cleaning verified automatically.
- Problems detected immediately.
- Evidence available instantly.
- Daily retail AI reports every morning.
AI store management
How Retail Video Analytics Works
Existing Store Cameras
Step 1
AI Detection
Step 2
Operational Events
Step 3
Evidence Clips
Step 4
AI Decisions
Step 5
Executive Retail Dashboard
Step 6
Retail AI FAQ
Frequently Asked Questions
What is AI retail security?
AI retail security uses computer vision on your existing CCTV to detect shoplifting signals, monitor store activity, and surface loss-prevention evidence—so security and operations teams act faster without watching every feed.
How does retail video analytics work?
Retail video analytics turns camera feeds into business events: queues, people counts, empty shelves, cleaning completion, and security signals. AnomaAI ranks what matters for store managers and executives.
Can AI detect shoplifting?
Yes. AnomaAI flags suspicious behavior patterns for human review, packages evidence clips, and shortens retail loss prevention investigations—without claiming perfect autonomous arrest decisions.
Can AI monitor checkout queues?
Yes. Checkout queue monitoring measures line length and wait pressure so you can open registers sooner, reduce walkaways, and improve customer experience.
Can AI verify cleaning operations?
Yes. Cleaning operations verification checks zone coverage, duration, and wet-floor sign presence with evidence—so store safety standards are measurable every shift.
What is POS Intelligence?
POS Intelligence correlates checkout transactions with camera views when AnomaAI is integrated with supported POS systems. It helps teams review possible product or transaction mismatches and open the related video—without treating every difference as theft.
Does AnomaAI measure product temperature?
No. From camera views, AnomaAI detects when a product leaves its expected cold area and remains outside past a configured time—helping teams spot cold-chain risk. It does not measure or claim product temperature.
What is AI Store Manager?
AI Store Manager is the layer that unifies POS, queue, shelf, safety, receiving, product recovery, and loss-prevention signals into one prioritized review view—so store teams can see what needs attention next.
What data does AI Store Manager use?
It works with anonymous operational events: camera IDs, timestamps, zones, transaction references when POS is integrated, and related review context. It does not add face recognition or biometric identity.
Does AI Store Manager make automatic decisions?
No. It analyzes events, prioritizes what matters, and offers recommendations. Final operational decisions remain with the store team.
Can it use POS and camera data together?
Yes—when AnomaAI is integrated with supported POS systems, AI Store Manager can correlate transaction signals with camera context for faster review.
How are recommendations created?
Recommendations are generated from event type, priority, and available context—for example queue growth, POS mismatch review, or a safety location check. They are guidance, not automated commands.
Can teams reach video evidence?
When the event and clip workflow is configured for that signal, teams can open the related camera and time window. AnomaAI does not claim a clip exists for every alert.
Can AI work with existing CCTV cameras?
Yes. AnomaAI is built for the retail surveillance systems you already operate—typical RTSP/ONVIF cameras and common NVRs—so you add intelligence without a camera rip-and-replace.
Does AnomaAI require new cameras?
No new cameras are required for typical supermarket and grocery deployments. Connect existing store security cameras, configure zones, and start retail operations software workflows in days.
How accurate is AI detection?
Accuracy depends on camera placement, lighting, and zone design. AnomaAI is evidence-first: detections include clips for human review, and recommendations are ranked by business impact—not raw detection counts.
AnomaAI
Ready for AI Retail Security That Improves Operations?
Deploy retail video analytics and loss prevention software on your existing AI security cameras in days—not months.