Restaurants

RetailNext counts guests with the same 95–99% accurate Aurora® sensors used in retail, applied to restaurant entrances and zones — capturing arrivals by daypart and day of week so you can forecast demand and staff to it, whether it's a quick-service rush or a dinner service.

Yes. RetailNext tracks guest flow and wait times in real time, pinpointing where bottlenecks form, so you can test layout and staffing changes that improve throughput and keep service fast and consistent during every rush.

RetailNext Asset Protection provides cloud-based video monitoring integrated with POS data — flagging high-risk transactions, speeding incident investigation, and helping protect employees and reduce shrink across every location, from a single restaurant to a large multi-unit network.

RetailNext integrates with your POS, workforce management, and BI tools through standard APIs, so guest-traffic forecasts flow into the scheduling systems your managers already use and POS data powers exception reporting.

RetailNext is cloud-native and built on the single PoE-powered Aurora® sensor with simple network setup (one outbound port, no VPNs), so it scales across hundreds of locations without per-site architecture changes. Rollouts are phased by region — our team will scope a representative timeline.

ROI comes primarily from labor precision (staffing to forecast demand rather than averages), improved throughput, and shrink reduction through POS-linked video. RetailNext customers have seen results such as $6M in additional sales over seven months (The Vitamin Shoppe) and a 40% shopper-yield increase (Boggi Milano).