Sensormatic Solutions, the global retail solutions portfolio of Johnson Controls, is empowering retailers to take the next step toward precise, data-driven retail outcomes. New people-counting devices enabled with Re-Identification (Re-ID) utilise advanced deep learning and artificial intelligence (AI) capabilities designed to provide powerful insights into shopper demographics, abandonment rates, shopper-only conversion rates, dwell times, and previously unseen movement patterns—giving businesses the data they need to help drive impactful outcomes. By integrating advanced algorithms into market-leading traffic counting devices, Sensormatic Solutions is again opening a range of new possibilities for its retail customers—all in one device.
Understanding and enhancing store performance
“Retail traffic remains one of the key elements to understanding and enhancing store performance, and Re-ID takes the possibilities to the next level,” said Nick Pompa, traffic insights business unit leader at Sensormatic Solutions. “Advancements in video analytics and deep learning help refine how devices interpret retail environments, so retailers don’t have to worry about non-shoppers being included in their metrics. Re-ID-enabled traffic analytic devices are designed to make it possible for retailers to differentiate individuals without using personal identifiable information (PII) and shed new light on what’s really happening when customers walk through the doors in any sales environment—from an automotive floor to a luxury storefront to a multi-store shopping centre and everything in between.”
Re-ID builds upon complex algorithms to anonymise yet identify individual visitors as they move throughout a property. Critically—for retailers looking to gain insights without PII, staff wearables or facial recognition—this technology instead relies on generic identifiers like clothing colours. This approach helps protect shoppers’ privacy and ensure GDPR compliance, while still enabling retailers to see how and where visitors make shopping decisions.
Re-ID-enabled devices can help retailers:
- Increase conversion. Re-ID can identify repeat visitors as well as differentiate employees (i.e., security guards and delivery workers) and pass-throughs from active shoppers, enabling retailers to access cleaner data and assess conversion more precisely.
- Build loyalty. Re-ID technology can analyze the path shoppers take in the store, providing a holistic view of experiences to give more insight into brand engagement (dwell) times, entry, abandonment rate and more. These metrics help retailers tailor strategies based on the specific needs of their environment to build lasting customer loyalty.
- Drive growth. When reviewed over time, these granular insights highlight staffing and conversion opportunities, guiding retailers toward decisions that improve profitability and customer satisfaction.