- Sensormatic Solutions integrates Re-ID and AI for advanced retail analytics.
- This technology enhances accuracy in understanding shopper behavior and store performance.
- Re-ID maintains shopper privacy while offering granular insights for growth.
Sensormatic Solutions, a part of Johnson Controls (JCI, Financial), has launched next-generation people-counting technology featuring Re-Identification (Re-ID) and advanced deep learning AI capabilities. This cutting-edge technology is designed to provide retailers with enhanced insights into shopper behaviors, such as demographics, abandonment rates, shopper-only conversion rates, and dwell times, enabling them to optimize retail performance more effectively.
The Re-ID technology, coupled with deep learning algorithms, offers a sophisticated solution suite that combines multiple shopper-centric key performance indicators (KPIs), adaptable for retail environments of any size. This innovative approach allows businesses to make data-driven decisions with greater precision while maintaining compliance with data privacy regulations like GDPR, as it avoids the use of personal identifiable information (PII).
Re-ID simplifies the differentiation between individual visitors and employees, ensuring cleaner data for more accurate conversion assessments. Moreover, by analyzing shopper pathways, retailers can gain a holistic view of customer experiences, assisting in developing strategies tailored to build customer loyalty and drive growth.
Johnson Controls (JCI, Financial), as a global leader in smart and sustainable building solutions, supports Sensormatic Solutions in delivering these advanced retail analytics, reinforcing their commitment to transforming environments across various industries, including retail, with their comprehensive digital offerings.
