- Banking
Customer Queue Management
In the era of digitalization, the financial sector is actively adopting artificial intelligence (AI) and video analytics technologies to optimize internal processes. The bank aims to improve customer service quality, reduce wait times, and optimize cashier operations. The ULA system offers solutions that help banks not only enhance customer service but also increase the overall productivity of branches through real-time analysis of cashier workload and employee performance.
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ProblemLong customer awaiting time to be served at the till
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Technology UsedVideo analytics
Web applications
Problem Solving
Cashier workload analysis
Employee performance monitoring:
The ULA video analytics system helps automate data collection on branch operations and queue management in banks.
Serving time:
The system records how much time is spent serving each customer, identifying situations where cashiers take longer than usual.
Workplace attendance tracking:
Video analytics monitors the presence of employees at their workstations, allowing the analysis of their activity and compliance with KPIs.
Cashiers’ idling time:
The system determines the total time when cashiers are not serving customers, allowing the identification of inefficient resource usage.
Customer waiting time:
The system measures the time spent by customers in the queue and during customer service by the manager and signals when this time exceeds the permissible norms.
Cashier workload:
The system tracks the number of customers in the queue, as well as the average and maximum cashier workload over a specific period.
