RetailNext, a global leader in smart store analytics for optimizing retail experiences, today introduced Traffic 3.0, the newest iteration of its platform. Traffic 3.0 represents the culmination of years of enhancements, offering retailers an even deeper understanding of shopper behavior and empowering them to make smarter, more impactful decisions.
Traffic 2.0 set the standard for in-store analytics by going beyond basic metrics to integrate diverse data points, giving retailers a more comprehensive view of their store activity. Traffic 3.0 builds on that foundation, introducing advanced features powered by machine learning and the latest technologies. This evolution provides retailers with more precise insights, enhanced operational efficiency, and actionable tools to better connect with their customers.
Built on RetailNext’s AI-driven Aurora sensors and real-time analytics platform, Traffic 3.0’s key capabilities include:
- Passby Analytics: Measure external foot traffic to identify missed opportunities and optimize storefront appeal.
- Group Counting: Accurately account for groups of shoppers to align staffing and resource planning with real demand.
- Occupancy Monitoring: Manage store capacity in real-time to improve crowd flow and enhance the in-store experience.
- Staffing Recommendations: Optimize labor schedules based on live and forecasted traffic insights to meet shopper needs while reducing unnecessary costs.
- Lower Total Cost of Ownership (TCO): Updated licensing models and pre-paid software options deliver significant annual OPEX savings.
“Retailers today can’t afford to leave opportunities on the table,” said Jason Luther, CTO of RetailNext. “Traffic 3.0 brings unmatched precision to in-store analytics, helping retailers identify where and how to act—whether that’s drawing more shoppers in, optimizing staffing, or improving store layouts. By turning data into clear, actionable insights, we’re delivering on our mission to be the Pulse of the Store, empowering retailers to maximize every visit and deliver a better experience for their customers.”
RetailNext continues to evolve alongside its retail partners. Coming soon, RetailNext will introduce new solutions to help optimize in-store queues, like those at POS and customer service areas, and advanced staff identification to better quantify the benefits of shopper/staff interaction and improve the precision of traffic counting.
To learn more about Traffic 3.0, click here.
About RetailNext
RetailNext, the first retail vertical IoT platform to bring e-commerce-style shopper analytics to brick-and-mortar stores, brands, and malls, is a pioneer in optimizing the shopper experience. The platform automatically collects and analyzes shopper behavior data through its centralized SaaS solution, enabling retailers to enhance real-time experiences and drive better outcomes.
Recognized in 2024 in Fast Company’s Most Innovative Companies in the Retail Category, RetailNext is trusted by more than 560 retailers in over 100 countries. The company helps businesses better understand the shopper journey to increase same-store sales, reduce theft, and eliminate unnecessary costs. RetailNext is headquartered in Campbell, California.
Learn more at retailnext.net.