Selecting items for presentation on electronic visual displays in retail stores based on availability of products

A method for selecting items for presentation on electronic visual displays in retail stores, the method comprising:

• obtaining a plurality of images of products in a retail store captured using at least one image sensor, wherein the plurality of images comprises at least a first image corresponding to a first point in time and a second image corresponding to a second point in time, wherein the first point in time is earlier than the second point in time;
• with a trained machine learning model, analyzing the first image to determine whether products of a particular product type are available at the first point in time;
• based on the determination that products of the particular product type are available at the first point in time, selecting to display the particular product type on an electronic visual display in the retail store;
• in response to the selection to display the particular product type, causing the electronic visual display to display the particular product type;
• with the trained machine learning model, in response to a user removing a product of the particular product type, analyzing the second image to determine that products of the particular product type are not available at the second point in time;
• based on the determination that products of the particular product type are not available at the second point in time, selecting not to display the particular product type on the electronic visual display in the retail store;
• and
• in response to a selection not to display the particular product type, causing the electronic visual display not to display the particular product type.

A system for selecting items for presentation on electronic visual displays in retail stores, the system comprising:

• at least one processor configured to:
• obtain a plurality of images of products in a retail store captured using at least one image sensor, wherein the plurality of images comprises at least a first image corresponding to a first point in time and a second image corresponding to a second point in time, wherein the first point in time is earlier than the second point in time;
• with a trained machine learning model, analyze the first image to determine whether products of a particular product type are available at the first point in time;
• based on the determination that products of the particular product type are available at the first point in time, selecting to display the particular product type on an electronic visual display in the retail store;
• in response to the selection to display the particular product type, causing the electronic visual display to display the particular product type;
• with the trained machine learning model, in response to a user removing a product of the particular product type, analyze the second image to determine that products of the particular product type are not available at the second point in time;
• based on the determination that products of the particular product type are not available at the second point in time, select not to display a particular product type on an electronic visual display in the retail store;
• and
• in response to the selection not to display the particular product type, causing the electronic visual display not to display the particular product type.