Smart movable closure system for cooling cabinet

A method for generating advertisement content on a display screen affixed to a movable door attached to a retail product container comprising an internal storage volume, the method comprising:

• determining an inputted planogram mapping of the internal storage volume and a description of a plurality of products, wherein the description comprises shape, color, and dimension of each of the plurality of products;
• post-processing one or more images captured by an optical sensor, installed on the movable door, into a composite image;
• determining, based on the composite image, the inputted planogram mapping, and the description of the plurality of products, an inventory status of a product, among the plurality of products, in the retail product container;
• calculating a confidence score based on the composite image and the description of the plurality of products;
• reevaluating, using a machine learning mode, the confidence score based on feedback providing a degree of correctness on the confidence score;
• determining that the product is out-of-stock in the internal storage volume when the confidence score is below a threshold value;
• determining, based on the determined inventory status, an advertisement to be displayed on the display screen, wherein the advertisement to be displayed comprises an out-of-stock indicator indicating that the product is out of stock;
• and
• sending the advertisement for display on the display screen.

A computer platform of a cooling system comprising a retail product container with an internal storage volume, a movable door blocking a view of the internal storage volume, a display affixed to the movable door, wherein the display is configured to display at least a planogram of the internal storage volume, and an optical sensor affixed on the movable door, the computing platform comprising:

• one or more processors;
• and
• a memory storing computer-executable instructions that, when executed by the one or more processors, causes the one or more processors to:
• determine an inputted planogram mapping of the internal storage volume and a description of a plurality of products, wherein the description comprises shape, color, and dimension of each of the plurality of products;
• post-process one or more images captured by the optical sensor, installed on the movable door, into a composite image;
• determine, based on the composite image, the inputted planogram mapping, and the description of the plurality of products, an inventory status of a product, among the plurality of products, in the retail product container;
• calculate a confidence score based on the composite image and the description of the plurality of products;
• reevaluate, using a machine learning mode, the confidence score based on feedback providing a degree of correctness on the confidence score;
• determine that the product is out-of-stock in the internal storage volume when the confidence score is below a threshold value;
• determine, based on the determined inventory status, an advertisement to be displayed on the display, wherein the advertisement to be displayed comprises an out-of-stock indicator indicating that the product is out of stock;
• and
• sending the advertisement for display on the display.