Queue Management
Manage queues efficiently with detailed monitoring and forecasts of current footfall, visitor frequencies and occupancy levels at critical points.
Long queues rarely make a good impression. No one likes to stand in a long queue with no end in sight. When visitors or customers realise that they are facing a disorganised crowd, they often leave the premises and even cancel their purchase. Controlling and organising queues is therefore extremely important for service-oriented operations.
The use of a digital queue management system is essential for keeping customer queues as short as possible. This is because a freely definable queue length triggers a real-time alert for staff and, ideally, leads to efficient staff deployment. This is particularly useful in retail, where customers tend to be impatient. However, queue management systems are also used in bank branches, at ticket counters and in similar service areas.
Digital queue management also forms the basis for proactively avoiding queues through dynamic staff scheduling. This is because real-time digital analysis of visitor frequency and dwell times allows staffing requirements to be adjusted in advance. However, the time of day and day of the week also influence forecasts that are as accurate as possible.
The definition of certain thresholds is linked to the opening or closing of cash registers or service counters. Employees are informed about their assignments via mobile devices. This ensures that there is always sufficient staff available in sales and at the cash registers during peak times to guarantee the desired quality of advice and service. During periods of low customer traffic, however, employees can take on alternative tasks.
Advantages of a queue management system
- Efficient deployment of cashier or service personnel without idle time
- Identification of productivity reserves and savings potential
- Flexible deployment options (e.g. decentralised cash registers and service areas)
- Shorter waiting times for customers
- Increased productivity through reduction in cash register changes
- Inform customers and employees in real time with simple signalling: via smartphone, pager, acoustic signals or other existing communication systems.
- The sensor records all data in full compliance with the GDPR.
Short waiting times and targeted deployment of staff
The queue manager offers detailed monitoring with forecasts of visitor numbers, current visitor frequencies and occupancy levels at critical points.
This data is clearly analysed and presented as a basis for decisions on opening and closing cash registers and advice desks, for example. This enables needs-based personnel planning, which can reduce queues for customers and time pressure on employees during peak hours. Sales can also be increased through improved advisory services on the sales floor.
The short waiting times and optimised service therefore have a lasting positive effect on customer loyalty. In addition, cost savings are achieved during less busy periods through dynamic and targeted staff deployment planning. With the option of importing data into common staff deployment planning software (PEP), the data offers high added value for long-term staff deployment planning.
Crosscan as a partner for queue management
Every industry has its own requirements and operating procedures, depending on the specific tasks on site and the customers. But even within an industry, there are individual dynamics. The organisation and management of visitor flows is an important component everywhere in ensuring high customer and employee satisfaction. It does not matter whether it is a retailer, a hospital, a bank branch or a government agency.
The implementation of sensor-based visitor flow management has proven itself in complex situations, and Crosscan can customise it to suit your requirements, customers, employees and operational processes. We provide manufacturer-independent advice and are also happy to take care of system operation!
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Do you have any further questions about queue management and visitor frequency measurement in the context of evaluating retail analytics data?
Please feel free to contact us for further information – we look forward to hearing from you!