Neuhausen, Switzerland – Sensormatic Solutions, a global retail solutions portfolio of Johnson Controls, is demonstrating the full breadth of its computer vision analytics technology at the 2023 NRF Big Show. Each of Sensormatic Solutions computer vision capabilities leverage proprietary deep learning algorithms and help retailers optimise labour allocation, strengthen loss prevention efforts, maintain safe environments for shoppers and associates, and gather insights on shopper experiences.
“Despite the technology’s relatively short time on the market, we’ve evolved its capabilities significantly, taking it from simple object detection to using complex behaviour detection to identify and analyse shopper behaviour,” says Subramanian Kunchithapatham (KS), chief technology officer at Sensormatic Solutions. “Computer vision’s unparalleled insights give retailers the power to enhance the store experience by automating specific tasks, which allow store associates to focus on valuable customer interactions.”
Maximise conversion opportunities with shopper engagement
Computer vision’s newest outcome-focused capabilities are designed to help retailers leverage shopper behaviour data to improve conversion and optimise merchandise placement and floor design by leveraging in-store path-to-purchase pattern insights. The technology can also recognise impactful marketing partnership opportunities by identifying consumers’ buying choices and brand preferences throughout their journey.
Driving operational excellence by allocating labour to the right place at the right time
With labour shortages and demand to raise minimum wage, computer vision analytics automates associate tasks and provides powerful insights that can help retailers identify the times and areas in which associates are most needed to help enhance the customer experience and drive sales, while reducing labour expenses.
With the popularity of omnichannel fulfillment options, like “buy online, pick-up in store” (BOPIS) and curbside pick-up, retailers are seeking ways to fill these orders while minimising labour hours spent searching for merchandise. Computer vision analytics enables exterior parking lot cameras to detect the arrival of customers to pre-determined areas, alerting associate in real-time to fulfill or deliver an order.
Insights amplify proactive loss prevention and liability programmes
Computer vision can amplify solutions used today to help mitigate shrink by enabling more proactive and preventative measures to deter theft, detect ORC activity, and help protect people and assets through real-time monitoring of suspicious and criminal behaviour.
Sensormatic Solutions computer vision technology leverages existing video infrastructure investments and is easy to deploy. “While many retailers already depend on cameras for surveillance, they can now leverage our computer vision analytics by tapping into that same infrastructure to unlock a world of new capabilities that help drive sales, reduce risk, optimise labour and enhance the customer experience,” continues Kunchithapatham.
To learn more about Sensormatic Solutions computer vision analytics, visit booth #6305 at the 2023 NRF convention, January 14-17 at the Jacob K. Javits Convention Center and follow #SensormaticNRF2023 on Twitter and LinkedIn. To request a booth tour or a meeting with an account manager, visit Sensormatic.
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