Aurora — Product Brief

Aurora® is the all-in-one IoT sensor simplifying shopper behavior measurement. From understanding precise shopper paths to their individual actions and behaviors, Aurora® goes beyond traditional traffic counting and conversion.

Aurora® is RetailNext's all-in-one IoT sensor, pairing the industry's widest field of view with integrated AI and onboard deep learning to simplify shopper-behavior measurement. It captures traffic, conversion, shopper journey, dwell, and engagement from a single, elegantly designed device with plug-and-play installation and no onsite servers. This brief is for retail and IT leaders evaluating the hardware foundation for accurate, scalable in-store analytics.

What's inside.

What's inside:

Industry-widest field of view with integrated stereo analytics and AI
Traffic counting, conversion, and shopper-journey measurement
Employee exclusion for true shopper counts and interaction analysis
Integrated Wi-Fi, Bluetooth, and beacon for richer metrics
Privacy-friendly, anonymized gender demographics processed on the sensor
Sleek, plug-and-play installation with no onsite servers (SOC 2 Type 2 compliant)

Download the Aurora Brief.

Get the full product overview — capabilities, use cases, and how Aurora fits into your retail operations.

Related Resources

More reading based on the products and sectors in this brief.

Building Brick-and-Mortar With Data From Day One

Case Study

How DTC darling, Balsam Brands, leveraged traffic analytics to launch and scale a strategic retail presence across Balsam Hill and Balsam Hill Studio, achieving 31% labor savings and boosting entry rates up to 10% YoY in physical stores.

View Case Study

couple playing arcade game at dave & buster's location

Dave & Buster's: Transforming Operations With Analytics

Case Study

Dave & Buster’s shift to data-driven operations shows how retail analytics can transform a business. Using real-time insights instead of guesswork, management can better optimize staffing, investments, and promote transparency across locations.

View Case Study

Brand Uncovers Labor Opportunities With In-Store Analytics

Case Study

Boggi Milano is an Italian brand in the market with 235 stores across more than 61 countries. In 2018, the team sought to improve its analysis of the brand’s store performance and looked to partner with an expert in in-store analytics.

View Case Study

sales associates helping customers in a Daniel's Jewelers store

How A Legacy Jeweler Uses Store Traffic To Define Success

Case Study

Since 1948, Daniel’s Jewelers has been rapidly expanding in the USA and now boasts over 100 stores. They use RetailNext's Traffic 2.0 solution to enhance performance, optimize labor, and provide excellent customer service.

View Case Study

Driving Payroll Efficiency Amid ‘The Great Resignation’

Case Study

The Vitamin Shoppe shares how it has been able to improve its payroll rate to sales by optimizing labor based on RetailNext traffic data. Some of its wins include a significant boost in sales, conversion, and shifting perceptions on operations.

View Case Study

Want to See Aurora IN ACTION?

Talk to our team. We'll show you exactly what Aurora can accomplish for your business.

Book a Discovery Call