Techniques for Enhancing the Relevancy of Candidate Item Selections Presented at a Self-Checkout

A system, comprising:

• one or more servers communicatively coupled to one or more self-checkout transaction terminals,
• the one or more servers comprising at least one processor and at least one memory storing executable instructions, wherein the at least one processor executes the executable instructions to:
• provide, as input to a machine learning model (MLM), one or more images of a produce item captured by one or more cameras associated with a self-checkout transaction terminal;
• receive, as output from the MLM, a set of product lookup (PLU) codes and respective corresponding confidence values, wherein each PLU code corresponds to a candidate item predicted to be the produce item at a likelihood represented by the corresponding confidence value;
• process the set of PLU codes to generate an enhanced picklist of candidate predicted items, wherein the processing comprises inserting into the set of PLU codes a respective organic produce item PLU code for each non-organic produce item PLU code in the set of PLU codes;
• and
• present a representation of the enhanced picklist on the self-checkout transaction terminal to enable an operator of the terminal to select one of the candidate predicted items as the produce item.

A non-transitory computer-readable medium storing executable instructions that when executed by at least one processor cause the at least one processor to perform a method, comprising:

• providing, as input to a machine learning model (MLM), one or more images of a produce item captured by one or more cameras associated with a self-checkout transaction terminal;
• receiving, as output from the MLM, a set of product lookup (PLU) codes and respective corresponding confidence values, wherein each PLU code corresponds to a candidate item predicted to be the produce item at a likelihood represented by the corresponding confidence value;
• processing the set of PLU codes to generate an enhanced picklist of candidate predicted items, wherein the processing comprises inserting into the set of PLU codes a respective organic produce item PLU code for each non-organic produce item PLU code in the set of PLU codes;
• and
• presenting a representation of the enhanced picklist on the self-checkout transaction terminal to enable an operator of the terminal to select one of the candidate predicted items as the produce item.