Queue Management

Queue Management:  Ensuring efficient Customer Check-out

The challenge

The customer traffic during peak periods can lead to increased check-out times. Although in-store camera footage can provide an overview of on-site situation, many hours of manual analysis are required to make actionable conclusions.

EasyFlow solution

Utilizing in-store camera footage, EasyFlow automatically tracks such key metrics as queue size, average wait time, time per customer during check-out, peak hours and other important metrics. The client can filter these metrics by time of day, location or sort them by provided metrics (longest waiting times; most people in the queue). With EasyFlow you can track as many locations as you like without the tedious amounts of manual labour. 

The result

EasyFlow provides a birds-eye view of retail location efficiency. With EasyFlow customer can track best performing locations, identify customer service bottlenecks and appropriately plan location staffing. It can also enable to compare different locations by customer service performance. EasyFlow queue analytics data can be combined with sales metrics and objectively identify the relations between check-out waiting time and client purchases (for instance, did a one minute increase in wait time result in lower sales). Such business insights can justify the costs of extra staffing during peak hours. And – most importantly – such metrics are produced automatically. 

EasyFlow solutions can be also deployed via cloud SaaS. Learn more about our models on:

EasyFlow solutions can be also deployed via cloud SaaS on AWS marketplace