SMaaS includes device management and predictive analytics which reduces shrink, optimizes staffing and improves sales.
“With global retail shrink on the rise, the retail landscape is rapidly changing, and smart loss prevention technology is more critical than ever. SMaaS helps manage shrink in an effective and timely way,” said Craig Szklany, VP, global solutions management and marketing, Sensormatic Solutions. “Based on our retail customers’ needs, we’ve added new and enhanced capabilities to help solve real-world loss prevention challenges. With device management, predictive analytics and actionable insights, SMaaS allows retailers to spend more time and resources on improving store performance and creating a better customer experience.”
New and enhanced capabilities from SMaaS:
- A mobile-optimized user interface features intuitive navigation, which allows retailers to access SMaaS anywhere, on any device;
- A new occupancy widget uses retailers’ existing electronic article surveillance (EAS) infrastructure to track occupancy patterns based on user-defined thresholds. Retailers can identify times of increased traffic to manage staff and customers accordingly. This function also helps retailers adhere to local occupancy regulations and social distancing guidelines;
- Seamless integration with Sensormatic Solutions RF pedestals, as well as exacqVideo integration, provides video device health monitoring, and allows retailers to view video clips of alarms associatedwith EAS and ORC events.
Additional benefits of SMaaS:
- Predictive analytics helps reduce shrink and provides more insight into root causes to stop loss before it happens;
- 24/7/365 monitoring of all connected EAS devices ensures systems are online and functioning properly;
- Detailed insights improve merchandising and loss prevention efforts for maximum on-shelf availability;
- Data helps optimize staffing during peak alarm times, allows more focus on customer experiences and identifies any training gaps;
- Geo-mapping helps identify Organized Retail Crime (ORC) patterns.