Measure queue wait time with Spatial Analysis

Spatial Analysis can generate real-time information about how long users are waiting in a queue in a retail store. The service monitors the length of time customers spend standing inside a checkout zone you specify. A store manager can use this information to manage open checkout stations and employee shifts.

Key features

You can deploy an end-to-end solution to track customers' queue wait time.

• Customize areas to monitor: With Spatial Analysis, you can customize the space you want to monitor.
• Count individual entrances: You can monitor how long people spend within these spaces.
• Customize models to differentiate between shoppers and employees: with the customization options offered, you can train and deploy models to differentiate shoppers and employees so that you only generate data about customer behavior.

Benefits for your business

By managing queue wait time and making informed decisions, you can help your business in the following ways:

• Improve customer experience: customer needs are met effectively and quickly by equipping store managers and employees with actionable alerts triggered by long checkout lines.
• Reduce unnecessary operation costs: optimize staffing needs by monitoring checkout lines and closing vacant checkout stations.
• Make long-term data-driven decisions: predict ideal future store operations by analyzing the traffic at different times of the day and on different days.

Next steps

Get started using Spatial Analysis in a container.

Install and run the Spatial Analysis container