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

A method for customized presentation of items 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, 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, the first point in time is earlier than the second point in time;
• analyzing, using a machine learning model trained using training example images and product type availabilities associated with the training example images, the first image to determine whether products of a particular product type are available at the first point in time;
• analyzing, using the machine learning model, the second image to determine whether products of the particular product type are available at the second point in time;
• analyzing the second image to determine at least one position associated with the particular product type;
• using the determined at least one position associated with the particular product type to select a region of an electronic visual display in the retail store;
• based on the determination of whether products of the particular product type are available at the first point in time and the determination of whether products of the particular product type are available at the second point in time, selecting at least one display parameter for a particular item;
• and
• using the selected at least one display parameter to display the particular item on the selected region of the electronic visual display in the retail store.

A system for customized presentation of items 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, 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, the first point in time is earlier than the second point in time;
• analyze, using a machine learning model trained using training example images and product type availabilities associated with the training example images, the first image to determine whether products of a particular product type are available at the first point in time;
• analyze, using the machine learning model, the second image to determine whether products of the particular product type are available at the second point in time;
• analyze the second image to determine at least one position associated with the particular product type;
• use the determined at least one position associated with the particular product type to select a region of an electronic visual display in the retail store;
• based on the determination of whether products of the particular product type are available at the first point in time and the determination of whether products of the particular product type are available at the second point in time, select at least one display parameter for a particular item;
• and
• use the selected at least one display parameter to display the particular item on the selected region of the electronic visual display in the retail store.