As a retailer, you face unique challenges when it comes to queue management and in-queue sales. On the one hand, you want to streamline your queue and keep wait times at a reasonable level. On the other hand, you want people to be in the queue long enough to consider those last minute impulse items you’ve so carefully selected and merchandised. How can you marry these two objectives to create a queue that is optimized for impulse sales and acceptable wait times?
Merchandising analytics gives you a view into how well the items and “zones” within your queue are performing. When you combine this data with queue analytics, meaning information such as average wait times, customer throughput, and customer counts, you can gain a clear view of your front-end merchandising approach. From here, you can begin to play with the variables that impact wait times (staffing, open registers, etc.) and the merchandise you display (moving products around within the queue, swapping out low-performers, etc.) to create the best results for you and your customers. Here’s a quick rundown of the steps:
With the insight gleaned from a merchandising analytics system, you can begin to effectively manage wait times and in-queue sales. No more guessing required. Everything you need to optimize and maintain your merchandising mix and queue can be right at your fingertips.
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