Neuhausen, Switzerland–(Business Wire) – Sensormatic Solutions, Johnson Controls’ world-leading retail solutions portfolio, showcased the full range of its computer vision analytics technology at the 2023 NRF Big Show. Each of Sensormatic Solutions’ computer vision capabilities leverages proprietary deep learning algorithms to help retailers optimize labor allocation, enhance loss prevention efforts, maintain a safe environment for shoppers and employees, and gather insights about the shopper experience.
“Despite the technology’s relatively short time to market, we have significantly improved its capabilities from simple object detection to using sophisticated behavioral detection to identify and analyze shopper behavior,” said Subramanian Kunchithapatham, Chief Technology Officer, Sensormatic Solutions ( KS) said. “The unparalleled insights of computer vision allow retailers to enhance the store experience by automating specific tasks, freeing store associates to focus on valuable customer interactions. ”
Maximize conversion opportunities through shopper engagement
The latest outcome-focused capabilities of computer vision are designed to help retailers leverage shopper behavior data to improve conversion rates and optimize merchandise placement and floor design by leveraging in-store path-to-purchase pattern insights. The technology can also identify opportunities for influencer marketing partnerships by identifying consumers’ purchasing choices and brand preferences throughout their journey.
Drive operational excellence by assigning labor to the right place at the right time
Due to labor shortages and the need to raise minimum wages, computer vision analytics automate employee tasks and provide powerful insights that can help retailers identify when and where employees are most needed to help enhance customer experience and drive sales while reducing labor cost.
With the popularity of omnichannel fulfillment options like buy online, pick up in store (BOPIS) and curbside pickup, retailers are looking for ways to fulfill these orders while minimizing man-hours spent searching for items. Computer vision analysis enables exterior parking lot cameras to detect when customers arrive at the reservation area, alerting staff in real time to complete or deliver the order.
Insights expands proactive loss prevention and liability programs
Computer vision can enhance solutions in use today to help mitigate losses 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 behavior.
Sensormatic Solutions computer vision technology leverages existing video infrastructure investments and is easy to deploy. “While many retailers already rely on cameras for surveillance, they can now leverage the same infrastructure to leverage our computer vision analytics to unlock a world of new capabilities that help drive sales, reduce risk, optimize workforces and enhance the customer experience,” Kunchithapatham continued.
To learn more about Sensormatic Computer Vision Analytics, visit Booth #6305 At the 2023 NRF Conference, Jan. 14-17 at the Jacob K. Javits Convention Center and follow #SensormaticNRF2023 Twitter and LinkedIn. To visit a booth or meet with an account manager, please visit the Sensormatic Solutions schedule page.
About Johnson Controls
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Sensormatic Solutions, Johnson Controls’ leading portfolio of global retail solutions, drives operational excellence and enables smart and connected shopper engagement at scale. Our intelligent digital operations platform—Sensormatic IQ—combines the full Sensormatic portfolio of solutions, including third-party data, with advanced technologies such as artificial intelligence and machine learning to provide shopper experience, inventory intelligence , loss prevention, and operational efficiency provide unparalleled insight. This enables retailers to move confidently into the future by acting on normative and predictive data-driven outcomes. Visit Sensormatic Solutions or follow us on LinkedIn, Twitterand our YouTube channel.