How It  Works

The camera views the contents of the fridge through a transparent door.

A neural network analyzes the images from the camera to identify which products

are currently in the fridge.

Based on this data and the existing planograms, key parameters are calculated to

assess current sales and plan future ones. For example:

- Number of devices (fridges) collecting data

- Percentage of "Our" and "Other" products in the fridge

- Percentage of empty space in the fridge

- Number of unique items from the planogram product list

- And others

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

dynamics based on different data slices (store, fridge, product groups, etc.) over

specific time periods.