RetailNext—People-Counting System & In-Store Analytics Software in Riyadh
RetailNext is a global leader in smart store analytics. Through its centralized, cloud-native SaaS platform, RetailNext connects four core functions — traffic analytics, loss prevention, store operations, and merchandising — into a single system, all built on the same Aurora sensor hardware and unified data layer.
Aurora is RetailNext's proprietary, patented AI sensor—a single piece of hardware that powers people counting, video security, and behavioral analytics simultaneously. It fuses 3D imagery with deep learning to deliver 95–99% accurate foot traffic data, while anonymously detecting shoppers so no personally identifiable data is stored.
Widest Field of View in the Industry
Covers more floor space per sensor, reducing the total number of sensors (and licenses) needed for a given store
PoE-Powered
Single Power-over-Ethernet cable for both power and data, simplifying installation
AI-Driven Detection
Patented deep-learning algorithm for accurate, anonymous people counting
Simple Network Setup
Just one outbound port required; no inbound ports or VPNs needed, so it scales across hundreds of locations without per-site network architecture changes
Automatic Health Monitoring & Software Updates
Centralized management with SSO support, reducing IT overhead across a multi-store rollout
Powered by the Aurora sensor, RetailNext's people counting system goes far beyond a simple door-counter — it's precise enough to power real staffing, marketing, and conversion decisions.
Accurate Entry/Exit Counting — 95–99% AI-powered counting accuracy
Group Counting — Accurately counts shoppers entering or exiting together
Passby Traffic — Measures footfall versus actual store entries
Occupancy Monitoring — Real-time capacity and crowd tracking
Staffing Recommendations — Optimizes staffing based on traffic demand
Lower Total Cost of Ownership — Reduces annual operating costs
Traffic counting is only the starting point. RetailNext's in-store analytics software converts foot traffic data into the same kind of e-commerce-style behavioral insight that online retailers have had for years — but for physical stores.
Conversion Rate Measurement — Combines traffic and sales to measure conversion
Cross-Store Benchmarking — Compares traffic, conversion, and yield across stores
Integrated Business Intelligence — Enables deeper dashboard analysis with built-in BI
POS & Workforce Integration — Connects with POS, workforce, and scheduling systems
Real-Time Dashboards & Mobile Access — Fast access through browser and mobile interfaces
RetailNext Asset Protection combines AI-powered behavioral analytics with POS exception reporting in a single platform, so loss prevention teams identify threats before they become losses instead of reviewing footage after the fact.
AI-Powered Exception Reporting — Flags high-risk and suspicious transactions in real time
Video-Linked Case Building — Combines searchable video with POS data for faster investigations
Remote, Multi-Site Investigation — Access live and recorded footage from anywhere
Works With Existing Cameras — Supports legacy analog and IP camera systems
Secure Cloud Storage — Up to 30 days of encrypted, high-resolution video retention
Faster Investigations — Reduces investigation time by up to 75%
Beyond traffic and security, RetailNext gives operations and merchandising teams the same evidence-based approach to running the store floor.
Store Operations
Merchandising
RetailNext also offers format-specific capabilities
Restaurants
Convenience Stores
RetailNext counts and measures shoppers anonymously — no personally identifiable data is stored. The entire platform, including video storage, runs on SOC2 Type II–compliant infrastructure with encrypted communications and configurable privacy controls, supporting GDPR and regional data-protection requirements.











