Retail Analytics

RetailNext—People-Counting System & In-Store Analytics Software in Riyadh

RetailNext was the first platform to bring e-commerce-style shopper analytics to physical stores. Its AI-powered people counting system, in-store analytics, and loss prevention platform are trusted by 250+ retailers in 50+ countries — and CDIT is the local implementation and support partner bringing RetailNext to Riyadh.

About the Platform

One Platform, Every Store Function

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.

The full platform covers
Aurora- People Counting Sensor

The Sensor Behind Every RetailNext Capability

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.

Aurora sensor specifications

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

RetailTraffic Analytics

A People-Counting System Built on AI, Not Guesswork

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.

Core people counting capabilities

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

Beyond Counting

In-Store Analytics Software That Turns Traffic Into Strategy

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.

Core in-store analytics capabilities

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

Retail Loss Prevention

Move From Reactive Investigations to Proactive Loss Prevention

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.

Core loss prevention capabilities

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%

Operations & Merchandising

Staffing, Layout, and Merchandising Decisions Backed by Data

Beyond traffic and security, RetailNext gives operations and merchandising teams the same evidence-based approach to running the store floor.

Store Operations

Match staff coverage to actual peak traffic periods, track conversion rates to identify operational bottlenecks, and compare store performance across an entire portfolio

Merchandising

Shopper path (journey) analytics show how product placement, fixtures, and displays actually affect engagement and sales, letting merchandising teams test, measure, and optimize in near real time

Industry Fit

Beyond General Retail

RetailNext also offers format-specific capabilities

Restaurants

Guest traffic forecasting by daypart, day of week, and season; real-time wait-time and guest-flow tracking to reduce bottlenecks; cloud-based video monitoring integrated with POS for employee safety and theft reduction

Convenience Stores

The Aurora sensor’s wide field of view reduces the sensor count needed to cover a c-store’s floor plan, lowering both hardware and licensing costs, alongside the same loss prevention and merchandising tools

Data Protection

Anonymous by Design

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.

Trusted by Leading Retail Brands

Common Questions

RetailNext FAQ

RetailNext's Aurora sensor delivers 95–99% accurate foot traffic data, using a patented AI algorithm based on deep learning to anonymously detect and count shoppers.

No — RetailNext counts and measures shoppers anonymously, with no personally identifiable data stored, on a SOC2 Type II–compliant platform with configurable privacy controls.

RetailNext is a full platform covering traffic analytics, loss prevention (Asset Protection), store operations, and merchandising — all powered by the same Aurora sensor and unified data layer.

No — RetailNext Asset Protection integrates with existing analog and IP camera infrastructure, so you can add AI-powered loss prevention without a full hardware replacement.

Yes — RetailNext integrates with POS, workforce management, and BI tools through standard APIs, so traffic forecasts and exception reports flow into the systems your team already uses.

Yes — CDIT is RetailNext's local implementation and support partner in Riyadh, handling installation, configuration, and ongoing support for retailers across Saudi Arabia.

Ready to Understand Your Store's Real Foot Traffic?

Book a demo and CDIT’s team will show you how RetailNext’s people counting system, loss prevention, and store operations tools fit your stores.