Faster to the goal –
Efficient checkout management in real-time

Shorter waiting times, satisfied customers – optimization made easy.

Intelligent queue management for retail

I-Queue is an innovative, AI-driven solution that is revolutionizing queue management in supermarkets. The system tracks how long each customer waits at the checkout and provides real-time insights into the current waiting time at each checkout. By displaying the average waiting times, each customer can choose the fastest checkout. Using AI-powered predictions, I-Queue analyzes customer flow and recommends the optimal number of open checkouts to make operations more efficient. This leads to shorter waiting times, optimized processes and an improved shopping experience for everyone involved.

Real-time waiting time analysis

Monitors and displays the waiting times at the checkouts in real time so that customers can choose the fastest checkout.

Optimal personnel deployment planning

Thanks to AI-driven predictions, the optimal time to open additional checkouts can be determined.

Improved customer satisfaction

Shorter waiting times mean satisfied customers and increased customer loyalty.

Simple integration

Can be seamlessly integrated into existing POS systems without the need for additional hardware.

How it works

I-Queue monitors the customer flow at all checkouts in real time and displays the average waiting time for each queue. This allows customers to choose the fastest checkout, improving the efficiency of the shopping process. The AI-driven algorithms continuously analyze the current operation and make proactive suggestions to optimize the number of open checkouts. This ensures a smooth process, shorter waiting times and better use of resources. The flexible architecture makes it possible to integrate the system into existing checkout systems and scale its use for both small and large retailers.

Our expertise in
Numbers and Votes

20

Specialists

6

Years

1100

Servers used

13000

Cameras analysed

absolute element

System requirements
for the installation

Linux-Requirements

The installation requires a Linux distribution (e.g., Ubuntu 18.04 or newer, Linux Mint 18 or newer) with the following installed packages:

  •  Docker Engine (20.10.x or newer)
  • Docker Compose (1.28.0 or newer)
  • Nvidia Container Toolkit (1.5.0 or newer)

Server-Requirements

  • CPU: 8-Kern-CPU (for example Intel Core i7-9700K)
  • RAM: 32 GB
  • GPU: Nvidia RTX4000 oder RTXA4000 (suitable for 4 streams)

If you wish, you can purchase a suitable server with the installed software directly from us.

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