The retail store analytics AI workflow enables developers to create end-to-end retail vision AI applications for store analytics using custom dashboards. Developers can leverage and customize the workflow for a variety of analytics, including queue analytics, shopper occupancy, dwell time and trajectory, heat mapping of the customer journey, proximity, line crossing, and regions of interest.
These attributes can be easily modified to include information about specific use cases that are customized to individual stores. Stores can use this information to optimize staffing, enhance store merchandising and layout, and improve customer experience to maximize sales.