In-store computerized product promotion system with product prediction model that outputs a target product message based on products selected in a current shopping session

A computerized product promotion system for use in a store, the system comprising:

• one or more processors configured to:
• receive a plurality of captured images of a shopper in a current shopping session in the store;
• process the plurality of captured images to determine one or more products selected by the shopper during the current shopping session;
• and
• determine an identity of at least one target product, selected by a product prediction model, that is estimated to have a threshold minimum likelihood of being purchased by the shopper during a remainder of the current shopping session, the product prediction model being configured to:
• receive as input the one or more products selected by the shopper during the current shopping session;
• and
• output the identity of the at least one target product;
• and
• configured to output a message related to the target product for display on a target electronic device proximate the shopper and the target product, to cause the target electronic device to display the message to the shopper.