Time triggered automatic measurements can be configured in the desired frequency, which enables historical data accumulation of shelf metrics for detailed predictive analytics.
The collected shelf measurement data is accessible to the users for both real-time inspection and historical trend analysis.
Using live measurement API, the measurements can be obtained in live mode by the store staff for immediate measurement and action.
List of SKUs that are present in the planogram but missing from the shelf.
The realogram highlights excess and misplaced items on a digitized version of the shelf scene, thus enabling quick correction of product placement errors.
The planogram highlights the missing items with respect to the ideal product placement of the shelf scene, thus enabling quick replenishment of missing products.
Performance metric related to the number of correctly placed, misplaced or missing items indicating the deviation of the shelf from ideal product placement.
Percentage of brands displayed in the shelf, calculated from occupied shelf space.
Percentage of brands displayed in the shelf, calculated from facing counts.
Alert mechanism that spots empty spaces on shelves for full utilization of shelf space.
Prices read from price tags detected on the scene and assigned to closest recognized SKUs.
Performance metric indicating the shelf utilization level compared to the ideal product placement.