Operators can then use these insights to optimize counter layout, improve staff allocation, and refine SOP design—ultimately reducing wait times, increasing service speed, and enhancing the overall customer experience.

Vionvision delivers accurate footfall analytics for F&B restaurants, tracking traffic volume, unique visitors, and hourly footfall or visit patterns across different time periods. By understanding how many customers pass by, enter, and stay, operators can evaluate location performance, identify peak hours, and monitor demand changes. These insights support smarter decisions on staffing, opening hours, and marketing effectiveness, helping restaurants align data-driven operations.

Vionvision analyzes customer queues and waiting times across both the ordering and food-preparation stages. By measuring how long guests wait to place an order and wait to receive their food, the platform pinpoints peak-hour bottlenecks and service-flow inefficiencies.

Table turnover is key to maximizing restaurant capacity. Vionvision tracks how long guests stay at each table and how quickly the table is cleared and reset after they leave. By analyzing the gap between the end of a meal and when the table becomes available again, operators can identify opportunities to improve turnover efficiency without compromising customer experience. These insights help increase seating utilization, improve peak-hour revenue potential, and support smarter management.

Vionvision system helps operational team tracking store opening and closing activities to ensure operational compliance, especially for franchise and chain-managed stores. The platform can detect cases where stores open late or close earlier than scheduled, providing transparency into daily operations. This capability is particularly valuable for franchise management, helping brands enforce standards, protect revenue opportunities, and maintain consistent customer experience across all locations.

Vionvision supports automated SOP compliance monitoring by detecting key operational behaviors, such as whether kitchen staff are wearing required chef hats, following scheduled hand-washing routines, and disposing of waste in a timely manner. By transforming manual auditing into AI-driven oversight, the platform helps operators improve hygiene standards, reduce compliance risks, and ensure consistent execution of brand and food safety protocols across all stores.

