Top metric
Lift in conversion signals from traffic and dwell-time insights.
+15%
vs. baseline · traffic + dwell signal
Turn existing cameras into real-time retail intelligence
AIVAT Smart Retail uses edge AI to help stores improve service, understand shopper behavior, detect security events, and optimize operations in real time.
- Edge AI
- Real-time analytics
- Works with existing cameras
- Privacy by design
The shift
From security cameras to live retail intelligence
Traditional CCTV records what happened. AIVAT helps store teams understand traffic, queue pressure, shopper behavior, and store security in real time — so they can act while it matters.
Legacy
Traditional store cameras
AIVAT Smart Retail
Live
Review only
Live intelligenceAIVAT acts while it matters
Records footage
Cameras roll. No live signal for store teams.
People counting
Live shopper counts with day-over-day comparisons.
Reviewed later
Issues surface hours or days after they impact customers.
Queue monitoring
Wait time and queue length per checkout, alerted in real time.
No zone insight
Traffic patterns and dead zones stay invisible.
Zone activity
Entrance, aisles, checkout — heat and dwell at every key area.
Reactive security
After-hours events and tailgating found post-incident.
Security events
Tailgating, after-hours presence, and suspicious activity surfaced live.
Operations
See every detail that matters
Queue analysis, heatmaps, zone counting, and security events in real time — configurable by camera, zone, schedule, and rule.
People counting & traffic
Know exactly how many customers enter and where they go next. AIVAT tracks entrance traffic and movement across key zones to help stores understand attraction, conversion, and customer flow patterns.
- Entrance counting
- Zone-by-zone tracking
- Hourly and daily trends
- Conversion-rate signals
Add-on module · Shelf analytics
AIVAT on the shelf
Camera-on-shelf module for captive-audience analytics — who looks, for how long, and what catches their attention. Plug into existing in-store cameras or compact shelf units.
Live · Shelf cam
CAM · Aisle 04 · Shelf B
Demographics
F · 28y
Attention
78%
Dwell
00:14
Same AIVAT stackEdge inferenceExisting cameras
Module detections
05 / 05
Captive traffic
Quantify shoppers passing or pausing in front of each shelf.
Demographics
Estimate gender and age range per audience cohort.
Gaze + attention
Measure where shoppers look and how engaged they are.
Dwell + interaction
Track time in front of shelf and product interactions.
Comparisons
Compare periods, dayparts, and different shelf layouts.
Solution architecture
Plug in. Detect. Respond.
Introid connects to your existing video infrastructure, analyzes every frame on-site in real time, and routes alerts, insights, and actions directly into your retail operations.
01Existing video sources
IP Cameras
RTSP · ONVIF · network cameras
Analog Cameras
Compatible through DVR / encoder-based infrastructure
VMS / Recording Systems
Integrates with existing video management and recording environments
Works with existing infrastructure
02Introid edge AI Engine
In-store edge AI Processing
Real-time video analysis deployed on-premises for fast, privacy-focused detection and response.
Real-time processingOn-premises deploymentPrivacy by designPer-camera calibrationScalable per store
03Outputs & actions
Dashboard
Traffic, queue, and security KPIs with evidence
Alerts
Email · SMS · messaging · webhooks
POS / ERP
Correlate traffic with sales, inventory, and operations
Loyalty / CRM
Opt-in customer programs where legally permitted
APIs & integrations
BI tools · VMS · enterprise systems
Dashboard
One screen for traffic, queues, and store KPIs
Live event feed, occupancy and queue KPIs, and video evidence in a single workspace — built for store managers, district managers, and operations leaders, each with the view they need.
Live event feed
Traffic & occupancy KPIs
Queue analytics
Heatmaps
Evidence clips
Alert routing
Role-based access
Platform capabilities
Built for real-world
retail environments
From on-device inference to retail integrations, every layer of AIVAT is engineered for reliability, privacy, and real-time performance across the store network.
Edge AI processing
AIVAT runs inference directly on-device, reducing latency, avoiding cloud round-trips, and maintaining operation even during network outages.
On-device inferenceCloud-independentReliable on-premises
Real-time detection
Detects critical retail and security events in real time using AI models tuned per store environment.
Retail & business integrations
Connects to POS, ERP, BI tools, loyalty CRM, and VMS through APIs and standard protocols.
Existing camera compatibility
Works with existing IP and analog camera infrastructure, including ONVIF-compatible cameras, DVRs, and NVRs.
Privacy by design
On-device processing, configurable retention, and region-aware deployment — no cloud upload required for personal data.
Results
Outcomes that move the store floor.
Real impact across service, conversion, and store security — measured in live retail environments alongside our customers.
+99%
Event detection accuracy across validated retail use cases.
−25%
Reduction in average checkout wait time after deployment.
−80%
Drop in missed after-hours incidents through continuous monitoring.
50+
Configurable detections across aisles, checkout, and back-of-house.
Live · 24 / 7
Continuous store coverage, camera-agnostic.
Monitoring across entrances, aisles, checkout, and back-of-house — edge-inferenced on existing CCTV, no rip-and-replace.
GroceryApparelConveniencePharmacyBig-box+ more
Bring real-time intelligence to your stores
Improve service, protect assets, and optimize every store with AIVAT Smart Retail. Request a demo and see the impact on your operation.