Queue Management solution

Our sensors track visitors' journey and dwell time where they are stationary. Vemcount uses the dwell time to calculate the queue lengths. The Queue Management solution is the perfect tool for a better customer experience.

Track queue length to prevent missing selling opportunities

Track queue length to prevent missing selling opportunities

Never-ending queues are intrinsically related to shopper satisfaction. Many business owners and managers do not realize the importance of managing checkout lines. Specific customers have no patience waiting in long queues and quickly get annoyed and frustrated.

One in every three potential customer leaves the store if they have to wait for more than five minutes to pay. Retailers experience revenue losses of up to 39% due to long queues.

Our Vemcount queue monitoring system will help you reduce your customers' frustrations and better organize your staff. Accurate video sensors are used to monitor congestion patterns and enable you to forecast when and where queues occur.

Queue Management

Queue Management

Vemcount offers you automated queue monitoring to identify if your service's quality is consistent with your audience's expectations. It anonymously calculates the number of customers at the checkout queues and the average time they spent there.

These key metrics are critical for retailers to manage their personnel and prevent potential customer losses caused by long waiting times.

👣 Follow the queues waiting in real-time.

👣 Receive alerts and automatic notifications.

👣 If you need to open another cashier, the system
will warn you.

👣  Keep your staff focused on sales.

Real-Time Notifications
Vemcount provides data in real-time, throughout its customizable dashboard, which can also generate alerts when a count exceeds a certain level, for example, to inform long lines.
Reports
Vemcount runs reports, with insights into queue lengths throughout the day, peak queue times or average waiting times. The data can be exported in Excel and PDF.
Group Identification
The customer counter identifies groups of people who are together. If there are a couple in the queue, they are registered as one and not counted as two. It guarantees an accurate prediction of the time spent in the queue.
Staff Exclusion
Exclude staff members in the queue areas so they are not counted in the analysis. Track queues in the helpdesk and information areas to identify the engagement between visitors and staff, their interaction time and cross information.
Minimize queue length and waiting times for the optimum customer experience

Minimize queue length and waiting times for the optimum customer experience

Research shows that the average customer is willing to wait no longer than 14 minutes before leaving your store empty-handed, frustrated, and likely never to return.

While there are many theories behind the psychology of queueing, the factors that frustrate customers the most are uncertain and unexplained waits.

With Vemcount, you can better manage the customer experience through a variety of strategic measures.

You can register the number of visitors in your store, measure queue length and average customer wait time before they are served, and generate real-time alerts to get notified when a count exceeds a certain level.

Having access to these all-important metrics allows you to put strategies in place to minimize long waiting times, allocate extra staff during busy periods and optimize product placements for dwell zones and high traffic areas.

With Vemcount you can:

Understand costumers behavior
Staff allocation
Cost reduction
Benchmarking
Reduce abandonment rate
Workforce efficiency
Discover average service time
Predict queue length

Over the years, we’ve tested a handful of different people counting solutions, which unfortunately have disappointed us at every turn. Finally, with help from Vemco Group, we’ve found the right solution. A valid and good quality solution ensuring that we can optimize our business and measure the performance of our stores...

Janni Baslund Dam - Mall Manager
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