CCTV and IoT for customer footfall analytics, loss prevention, and VIP recognition across malls and retail locations.
Critical issues facing retail operations today
Theft, fraud, and inventory loss continue to impact bottom lines significantly
Limited visibility into customer behavior and shopping patterns
Staff spending excessive time on non-sales activities
Traditional security measures are expensive and often ineffective
CCTV and IoT working as one platform
Autonomous aerial surveillance with thermal imaging, 4K video, and precision sensors for comprehensive coverage
data-driven surveillance with 24/7 monitoring, intelligent analytics, and instant threat detection
Connected sensor networks for environmental monitoring, occupancy tracking, and predictive analytics
Analytics and loss prevention tools built for retail
Advanced customer footfall analytics with real-time occupancy tracking and heat maps
VIP customer identification for personalized service and loyalty programs
data-driven loss prevention with suspicious behavior analysis
After-hours security monitoring with instant breach notifications
Parking management and customer vehicle tracking at entry points
Store security with zone-based alerts and full perimeter coverage
From camera detection to alerts in real-time
network cameras capture customer activity
Real-time movement and behavior analysis
pilot processes data for insights
Automated alerts and actionable reports
Real results from retail deployments
Average theft decrease
Sales improvement
Footfall precision
Real-world deployments across the Middle East
Customer flow analysis and dwell-time tracking across 450 connected retail stores.
data-driven theft prevention system deployed across major retail chain.
VIP recognition and personalized service enhancement across premium retail.
Solutions for every retail environment
Modern edge-AI people counters achieve 98–99.2% accuracy in real retail conditions, including crowded entrances, strollers, and shopping carts. Accuracy is measured against manually-verified ground truth over a 7-day window. ViewKeeper deploys calibrated stereo or ToF sensors at entry points to sustain >99% accuracy across lighting and density changes.
Yes, with conditions. The Saudi PDPL requires explicit, opt-in consent for biometric processing, a documented purpose (loyalty programs qualify), secure on-device or in-Kingdom storage, and a deletion pathway. ViewKeeper's deployment processes face templates on-device and never exports raw biometric data, keeping you PDPL-compliant by default.
Deployments across 50+ store chains typically reduce shrinkage by 55–72% within 90 days. At an average store losing SAR 180,000/year to theft, the system pays back in 4–7 months. The largest gains come from after-hours intrusion alerts and real-time suspicious-behavior flagging — not post-incident forensics.
Yes — we support ONVIF-conformant cameras, Hikvision, Axis, Hanwha, Bosch, and Milestone XProtect. No rip-and-replace needed. We connect to your existing VMS, run AI analytics on the edge (NVIDIA Jetson or on-camera SoC), and surface alerts in your current dashboard.
Pricing scales with camera count and analytics modules. Typical KSA deployments start at SAR 1,200–2,500 per camera per year (hardware + software + support), with volume discounts above 20 cameras. Pilot programs (3–5 cameras, 60 days) are offered at cost to validate ROI before scale.