Sensormatic Solutions adds Machine Learning to Shrink Analyzer

Sensormatic Solutions, the global retail solutions portfolio of Johnson Controls (JCI), continues to improve the capabilities of its cloud-based loss prevention (LP) application, Shrink Analyzer.

The application’s recent development efforts enhance internal theft analysis, using machine learning (ML) to continuously help improve loss event identification accuracy, accelerate evidence-building processes to aid in prosecution, and support early detection and remediation.

Attendees of NRF PROTECT 2025 will be able to explore these enhancements in person at booth 922.

“To effectively address total retail losses, retailers’ data ecosystems need to have context,” said Tony D’Onofrio, President at Sensormatic Solutions. “They need to be able to see all areas of operations—from the floor to storage and beyond—and evolve alongside changing needs. Shrink Analyzer’s new ML capabilities represent a significant breakthrough in how loss prevention teams can identify, validate, and accelerate case-building efforts.”

The addition of ML to Shrink Analyzer will help retailers:

• Boost data integrity. RFID technology captures hundreds of data points per second. Shrink Analyzer’s new ML-powered Shrink Confidence Score helps simplify aggregation and data cleaning processes to increase accuracy and boost case values.

• Identify and address suspicious store associate behaviors. The Sweetheart Detection feature brings the financial impact of sweethearting and self-checkout scan avoidance, as well as the identities of repeat offenders, into focus. By pairing ML technology with item-level sales, inventory, exit, and associate/shopper behavior data, Shrink Analyzer can enhance retailers’ ability to identify evolving tactics and take action to stop them.

• Improve investigation efficiency and outcomes. VDC Research showed that half (50%) of retailers hope to use RFID to improve the productivity and efficacy of investigation teams, and 37% hope to accelerate prosecution timelines. Shrink Analyzer’s ML capabilities can identify previously hard-to-detect loss events, which can be used to index video and automate case building.

As with previous iterations, the newly enhanced application is inventory-platform agnostic, is compatible with the Sensormatic Solutions suite of RFID hardware, and can be integrated alongside any retail analytics ecosystem. Sensormatic Solutions plans to make these ML-based capabilities available later in 2025.

NRF PROTECT visitors can explore Shrink Analyzer’s new capabilities at booth 922, June 23-25, at the Gaylord Texan Resort in Grapevine, TX. Sensormatic Solutions president, Tony D’Onofrio, will also be inducted into the NRF’s Ring of Excellence—which recognizes exemplary leaders in LP—at the NRF PROTECT Awards ceremony on June 24.

To request a booth tour or a meeting with an account manager, visit the Sensormatic Solutions scheduling page.