The camera captures the shelf contents.

The neural network analyzes the images received from the camera and determines which items are currently on the shelf.

Based on the obtained data and the existing data in the warehouse management systems 

key parameters are calculated that are important for evaluating current sales and planning future sales. For example:

● Number of shelves from which data is collected;

● % of identified product types or products from specific suppliers on warehouse shelves;

● % of empty shelf space;

● Number of unique products from the suppliers' product list and other metrics.

In the UI, charts are generated to help analyze these parameters and track their dynamics

based on various data segments (warehouse, shelf, product groups, etc.) over specific

periods.